5611 Experimentation Jobs - Page 23

singlePosition View All Jobs Senior AI Solutions - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Apply Now Find out how well you match with this job Upload your resume Job description Employment Type Full time Job Level Vice President Posted Date Jul 27, 2025 Morgan Stanley Senior AI Solutions - Vice President - Data & Analytics Engineering Profile Description We’re seeking someone to join our team as Vice President- Senior AI Solutions. The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused AI Solutions Engineer with a strong background in working with Generative AI(GenAI), Large Language Models (LLMs), traditional AI, and Natural Language Processing (NLP) techniques. The ideal candidate, in addition to experience in data science, will possess expertise in designing, architecting, and optimising data-intensive systems, with a keen focus on big data analytics. This role offers exciting opportunity to work on cutting-edge projects leveraging LLMs with large volumes of structured and unstructured data as well as building and integrating Knowledge Graph, LLMs and Multiagent systems. CDRR_Technology The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce. Firmwide Data Office Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier. Data & Analytics Engineering This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What you’ll do in the role: As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You'll combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You'll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders. Key Responsibilities Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems. Integrate knowledge graph, LLMs and multiagent systems Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks. Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data. Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation. Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms. Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives. What you’ll bring to the role: B.E or Master’s or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field Proven experience building and deploying to production GenAI models with demonstrable business value realization 12 + years of total working experience. At least 8 years' relevant experience would generally be expected to find the skills required for this role 8+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.) Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets. Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable. Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment. Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases Strong understanding of multiagent architectures and experience with frameworks for agent development Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Similar jobs Data Engineering Lead (Snowflake)_ Vice President _Data & Analytics Engineering Bengaluru, Karnataka, Inde + 2 more Data & Analytics Engineering Posted 14 days ago Lead AI Solutions - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted a day ago Data Analyst Lead/Cyber Security_Vice President_Data Analytics & Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Hybrid Posted 3 months ago API Lead_Vice President_Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted 3 days ago AI/ML Software Engineer - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted a month ago Vice President_Applied AI Research Engineer_Data & Analytics Engineering Bengaluru, Karnataka, Inde Data & Analytics Engineering Posted 16 days ago Principle Database - Vice President - Data & Analytics Engineering Bengaluru, Karnataka, Inde Data & Analytics Engineering Posted a month ago Data Engineer - Director - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted a day ago Data Analytics & Reporting - Assistant Vice President Purchase, New York, United States of America Risk Management Posted 3 months ago Python/Data Engineering/Cloud_Vice President (Lead Software Engineer)_Parametric Mumbai, Maharashtra, Inde Data & Technology Posted 3 months ago

singlePosition View All Jobs API Lead_Vice President_Data & Analytics Engineering Mumbai, Maharashtra, Inde Apply Now Find out how well you match with this job Upload your resume Job description Employment Type Full time Job Level Vice President Posted Date Jul 27, 2025 Morgan Stanley API Lead_ Vice President _Data & Analytics Engineering Profile Description We’re seeking someone to join our team as API Lead will be a part of our Cyber Data Risk & Resilience team, to will play a key role in helping transform how Morgan Stanley operates CDRR_Technology The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce. Firmwide Data Office Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier. Data & Analytics Engineering This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What you’ll do in the role: The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Senior API Developer. As a member of our Software Development team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You'll work with highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders What you’ll bring to the role: 10-15 years of hands-on experience in API Development and strong expertise in Core Java, Multithreading, and Object-Oriented Design. Strong experience in designing and developing RESTful APIs; good working knowledge of GraphQL. Experience with Java 15 or later (Java 17 preferred). Design, develop, and maintain core components of a high-performance application built around knowledge graph architecture. Implement and optimize scalable backend solutions integrating with Graph database. Develop and support APIs (both REST and GraphQL) to expose and manage application functionality efficiently. Deep understanding of distributed caching mechanisms, including Hazelcast, Caffeine, InCache, or Google Guava Cache. Experience integrating with Graph Databases (preferably Stardog); additional knowledge of Apache Jena and SAPRQL is a strong plus. Understanding of application security, authentication, and authorization best practices. Experience with ZooKeeper for coordination and distributed systems management. Familiarity with load balancer configurations and application performance tuning. Analyze, debug, and enhance existing components using modern Java practices, ensuring maintainability and reliability. Required Skills & Qualifications: Proficiency with Spring Framework, Spring Boot, and deep understanding of Spring Annotations and Java-based configurations. Strong understanding of system design principles, including scalability, fault tolerance, distributed systems, and performance optimization. Experience with unit and integration testing in modern Java applications. Full software development life cycle. Collaborate with cross-functional teams to ensure seamless data flow and performance through intelligent caching strategies. Good to Have: Experience or familiarity with Reactive Programming, especially using Spring WebFlux. Hands-on knowledge of HTTP clients like OkHttp, WebClient, or similar. Experience with or exposure to other graph databases or triple stores (e.g., Neo4j, Virtuoso, Blazegraph, RDF4J). Working knowledge of Redis for caching or data storage. Understanding of search and indexing systems similar to ElasticSearch used for building scalable and efficient search features. Exposure to observability and monitoring tools such as Prometheus, Grafana, Loki, Kibana or Splunk. What you can expect from Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Similar jobs Data Engineering Lead (Snowflake)_ Vice President _Data & Analytics Engineering Bengaluru, Karnataka, Inde + 2 more Data & Analytics Engineering Posted 14 days ago Data Analyst Lead/Cyber Security_Vice President_Data Analytics & Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Hybrid Posted 3 months ago Lead AI Solutions - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted a day ago AI/ML Software Engineer - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted a month ago Senior AI Solutions - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted 3 days ago Vice President_Applied AI Research Engineer_Data & Analytics Engineering Bengaluru, Karnataka, Inde Data & Analytics Engineering Posted 16 days ago Python/Data Engineering/Cloud_Vice President (Lead Software Engineer)_Parametric Mumbai, Maharashtra, Inde Data & Technology Posted 3 months ago Data Engineer - Director - Data & Analytics Engineering Mumbai, Maharashtra, Inde Data & Analytics Engineering Posted a day ago Python Data Engineering Lead - Vice President - Software Engineering Mumbai, Maharashtra, Inde Software Engineering Posted a month ago Principle Database - Vice President - Data & Analytics Engineering Bengaluru, Karnataka, Inde Data & Analytics Engineering Posted a month ago

Location: Remote (with 2–3 hours time zone overlap with Southeast Asia, GMT+7) Experience: 8–12 years About the venture This is a venture-backed startup transforming jewelry commerce in Southeast Asia. Our AI-powered marketplace enables retailers to sell before they source , eliminating financial risk through a powerful subscription model. With strong early partnerships among Thailand’s leading jewelry retailers and a team gearing up for launch, this new venture is building the definitive platform for the region's jewelry trade. They are now hiring a Head of Product to lead their product strategy, scale the team, and shape the future of jewelry e-commerce. What You’ll Own Product Strategy: Define and evolve the vision, roadmap, and strategy across buyer, seller, and internal tools. Team Leadership: Manage and mentor a small team of 2 Product Managers and 1 Designer. Cross-Functional Execution: Work closely with Engineering, AI, and Operations to deliver at speed and scale. User Discovery: Drive structured discovery with Thai retailers and consumers to uncover deep insights. Prioritization: Make smart trade-offs based on market urgency, data, and platform scalability. Delivery: Own timelines, iteration cycles, and product KPIs from launch to scale. CX Metrics Ownership (along with Head of Operations): Lead KPI setting and performance tracking for CX and operational excellence. The Ideal team member Product Leadership: 8–12 years of experience in product, with 3+ years in a leadership role. Marketplace Expertise: Prior experience launching or scaling marketplace or e-commerce platforms. Zero-to-One Execution: Comfortable building products from scratch in fast-moving environments. Product Judgment: Strong instincts across UX, experimentation, and stakeholder alignment. Tech Fluency: Bonus if you’ve worked with AI features or complex backend systems (e.g., recommendations, personalization). Why Join? Build Something Meaningful: Shape an entire product and user experience from day one. Foundational Role: Be part of the core leadership team influencing business and tech decisions. Global + Local Impact: Build for an underserved, high-potential category in Southeast Asia. Remote-First, Execution-Obsessed: Work with a smart, ambitious, globally distributed team

Why Join NxtWave? Build and release features that reach thousands of learners within weeks. Own end-to-end development and collaborate closely with Product & Design teams. Work in a culture that empowers growth, experimentation, and learning from failure. Scale your work in a fast-growing environment with a world-class dev setup. Follow clean coding, strong architecture, and best engineering practices. What You'll Do Design and ship Full-stack features (frontend, backend, DB) with guidance. Build scalable REST/GraphQL APIs and efficient DB schemas. Develop reusable React components with modern state management (Redux, Context, etc.). Implement backend services using Node.js or Java or Python (Fastify, Express, Django, etc.). Ensure code quality with unit/integration/E2E testing (Jest, Cypress, Pytest). Containerize apps with Docker and set up CI/CD pipelines (GitHub Actions, Jenkins). Follow secure coding, SEO, and accessibility (WCAG) standards. Collaborate across teams and mentor junior devs or interns. Own the feature lifecyclefrom design to deployment. What You'll Bring 1+ years experience building full-stack web apps. Strong in JavaScript (ES6+), TypeScript, HTML5, CSS3 (Flexbox/Grid). Proficient in React (Hooks, Router) and state management tools. Solid backend expertise in Node.js/Python and API design. Experience with MySQL/PostgreSQL and exposure to Redis/Elasticsearch. Familiarity with Webpack/Vite, Git, npm/Yarn. Experience in test-driven development and cloud deployment basics. Familiar with Docker and CI/CD pipelines. Strong problem-solving, product-first thinking, and communication skills. Bonus Qualities High ownership and a drive to build great products. Positive, collaborative attitude and adaptability. Open to feedback and eager to learn and grow continuously. (ref:hirist.tech)

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent thats bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegenes high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work. Must Have Job Overview We are seeking a highly skilled and results-driven Senior Analyst in Product Data Engineering to join our dynamic team. The successful candidate will be responsible for driving data solutions, supporting data integration, and providing advanced analytics to optimize product development and performance. This individual will play a critical role in analyzing complex product data and delivering insights that drive decision-making across the business. Key Responsibilities Design, develop, and manage data pipelines that support product data integration and engineering initiatives. Analyze large, complex datasets to extract actionable insights for product development, performance optimization, and business strategy. Collaborate closely with product, engineering, and business teams to understand product needs and translate them into data-driven solutions. Monitor data quality, integrity, and accuracy, ensuring that data is reliable and accessible for decision-making. Design and implement efficient data models to support product analysis and performance metrics. Provide advanced analytics, visualization, and reporting capabilities to help guide product strategy and key business decisions. Utilize machine learning and statistical techniques to develop predictive models that improve product outcomes. Lead and mentor junior team members, sharing knowledge and best practices related to data engineering and product analytics. Identify and implement process improvements to streamline data processes and increase operational efficiency. Key Requirements: Bachelors or Masters degree in Computer Science, Data Engineering, Statistics, or a related field. 4 years of experience in data engineering or analytics, preferably with a focus on product data. Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and automation. Experience with data visualization tools (e.g., Tableau, Power BI) and reporting. Expertise in data integration and ETL processes, including working with cloud-based data platforms (e.g., AWS, GCP, Azure). Solid understanding of product metrics and KPIs, with the ability to create meaningful reports and dashboards. Experience with machine learning, statistical modeling, and data analysis techniques. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Preferred Qualifications: Experience in agile development environments. Knowledge of product development processes and how data engineering supports them. Familiarity with A/B testing methodologies and experimentation frameworks. Understanding of data governance and compliance practices. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit, and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations Bangalore, KA, IN

Job Description About the job Location: Bangalore Career Level: IC3 Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation indeep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Responsibilities Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

About Us Mosaic Wellness is building digital first, health brands for elective health concerns. Man Matters is a digital elective health platform for men, helping 2.5M men every year diagnose and solve for their hair loss, beard growth, fitness, and nutrition concerns by offering personalized treatment plans and access to expert doctors and health coaches. Be Body Wise is an online womens elective health platform, serving 4M women every year by providing personalized solutions and doctor consults across concerns for hair health, body care, sleep, and nutrition. Little Joys is an online health platform for kids, helping 2M parents every year solve for their childs physical, mental, and emotional development by offering age-appropriate solutions for nutrition, immunity, brain health, and bone health with access to expert doctors and nutritionists. Job Summary As Program Manager Influencer Growth, you will hold a pivotal position at the heart of our creator engine: Drive the email channel. Architect multistep sequences, execute rigorous A/B tests, and deliver precise, personalized messaging at scaleowning open, click, and reply rates endtoend. Build and sustain the acquisition funnel. Proactively identify, evaluate, and secure highpotential creatorswhether through direct outreach or strategic agency partnershipswhile maintaining a consistent, qualified pipeline. Translate data into decisive action. Monitor every metric in real time, diagnose performance shifts, and implement datadriven adjustments that keep revenue velocity high. Your success will directly accelerate our growth trajectory; when you operate at peak performance, the entire business moves faster. What Youll Do Pipeline & Outreach Conduct continuous competitive analysis to identify highvalue creator segments and inform a focused acquisition roadmap. Design and optimise multistep email sequences in Apollo and allied tools. Consistently achieve weekly acquisition targets across diverse niches and follower tiers. Negotiate rates, briefs, and contracts that balance speed, quality, and profitability. Funnel Analytics Build and manage dashboards tracking open rates, clickthrough rates, and meetings booked. Agency Partnerships Identify highleverage agency partners, outreach to them via LinkedIn, Email or WhatsApp, structure mutually beneficial deals, and maintain a steady stream of influencers. Playbooks & SOPs Document subjectline libraries, followup cadences, and demo scripts, ensuring processes can be quickly adopted and scaled. CrossFunctional Collaboration Work closely with the content teams to relay creator feedback and develop offers that drive conversion. What Were Looking For 24 years experience in influencer acquisition, affiliate marketing, or B2B sales within a tier-1 DTC or commerce startup. Preferred candidates who are willing to work in the US Time Shifts. Expert user of Apollo (or similar tools): designs sequences, runs A/B tests, and applies dataenrichment workflows. Negotiation strength: closes creator contracts that drive revenue while operating frugally. Fluency in funnel metrics: open rate, clickthrough, reply, and meeting. Clear writer and rigorous analyst: crafts persuasive emails and validates results with data. Agency liaison exposure and comfort setting SLAs are a plus. Nice to have - health/beauty sector experience, basic Canva/Figma skills, or a side project involving creator outreach. Why This Role? Direct Revenue Ownership: Deals you secure on Monday appear in Fridays GMV reportyour work is visible, immediate, and missioncritical. Automation Freedom: Harness Zapier, GenAI, and custom workflows to erase busywork and scale results without bureaucracy. Rapid Experimentation Cycle: Launch, measure, and refine subject lines and messaging in real time, doubling down on what converts. HighVisibility Growth Path: Consistently surpassing acquisition targets fasttracks you to leading our entire creatorgrowth function. Locations Delhi Full-Time

Responsibilities: Job Description Delivering Value Through Agile Project Leadership: Translate strategic vision into executable roadmaps with clear priorities, milestones, and resource allocations. Champion Agile methodologies, leading teams in iterative development cycles to ensure timely and efficient delivery. Proactively manage project risks and dependencies, navigating challenges within budget and resource constraints. Foster a culture of transparency and open communication, regularly updating stakeholders and addressing concerns collaboratively. Leverage data-driven insights to track project performance, identify improvement opportunities, and optimize delivery processes. Technical Expertise: Deep understanding of cloud-native principles, including microservices architecture, containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and DevOps practices. Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP). Proven ability to implement and manage infrastructure provisioning, application deployment, and cloud resources. Champion automation, actively promoting and implementing tools for infrastructure, configuration, deployment, and testing. Product-Centric Mindset: Translate product strategy into technical requirements and architecture. Collaborate effectively with Product Managers and Product Owners to understand user needs and deliver high-quality, scalable products. Ensure engineering decisions are aligned with business goals and drive value. Talent Management And Team Leadership: Build and nurture a high-performing team of cloud-native engineers. Attract and hire top talent with the right skills and passion for cloud-native development. Create an environment for continuous learning and growth, fostering mentorship and career development. Foster a culture of innovation, experimentation, and continuous learning within the engineering team. Lead and mentor engineers in Agile methodologies like Scrum or Kanban, ensuring efficient delivery against agreed priorities. Bonus Points: Security expertise in cloud environments. Experience with cloud-native monitoring and observability tools. Familiarity with container orchestration platforms like Kubernetes. Open-source contribution and community involvement. Leadership in building and maintaining a diverse and inclusive engineering team. Benefits: Opportunity to work with cutting-edge technologies and solve real-world challenges. Collaborative and supportive work environment. Competitive salary and benefits package. Chance to make a significant impact on the success of our company. Responsibilities Qualifications Technical Expertise: Deep understanding of cloud-native principles, including microservices architecture, containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and DevOps practices. Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP). Proven ability to implement and manage infrastructure provisioning, application deployment, and cloud resources. Champion automation, actively promoting and implementing tools for infrastructure, configuration, deployment, and testing. Job Info Job Identification 3514 Posting Date 07/26/2025, 08:21 AM Locations IN-India-Bangalore Job Schedule Full time

Job Title: Machine Learning Engineer (Founding Engineer) Location: Bangalore, INDIA Experience Level: Mid to Senior (3–5 years) About Nexie At Nexie, we’re revolutionizing the marketing landscape with our innovative agentic AI platform. Our technology empowers businesses to transform their marketing operations through intelligent automation — from ideation to execution and optimization — with a special focus on the ecommerce sector. We believe in building elegant, AI-first solutions that solve complex problems with simplicity and style. Our mission is to create tools that not only work intelligently but delight users through thoughtful design. Join Our Founding Team Work directly with our successful serial entrepreneur founders (Ashok & Pradeep) who have built and exited startups Shape the future of AI-powered marketing technology from the ground up See your innovations directly impact hundreds of global customers Enjoy significant equity and growth potential as an early team member Your Impact & Opportunities Pioneer our AI systems across multiple domains — predictive analytics, generative content, decision engines, and more Design and implement cutting-edge ML infrastructure including experimentation frameworks, embedding systems, and feedback loops Collaborate across functions to rapidly prototype, test, and deploy AI solutions that drive measurable business outcomes Explore emerging AI technologies and help define the future capabilities of our platform Ideal Background 3~5 years of hands-on experience with machine learning and AI technologies Strong programming skills, particularly in Python and modern ML frameworks Experience with large language models and generative AI applications Background in building data-driven models and systems Passion for experimentation, measurement, and continuous improvement Bonus Skills Experience with AI agent systems or multi-step reasoning frameworks Knowledge of marketing technology, ecommerce, or customer engagement domains Track record of building production ML systems with proper monitoring and evaluation Interest in product design and user experience for AI applications We Value Creative problem solvers who thrive in fast-paced environments Self-starters comfortable with ambiguity and wearing multiple hats Continuous learners who stay at the forefront of AI advancements Collaborators who communicate complex ideas with clarity and purpose If you’re excited about defining the future of AI-powered marketing technology and want to join a team that values innovation, impact, and growth, we’d love to hear from you!

Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Principal Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks with domain expertise in R&D domain. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Architect and maintain robust, scalable data pipelines using Databricks, Spark, and Delta Lake, enabling efficient batch and real-time processing. Lead efforts to evaluate, adopt, and integrate emerging technologies and tools that enhance productivity, scalability, and data delivery capabilities. Drive performance optimization efforts, including Spark tuning, resource utilization, job scheduling, and query improvements. Identify and implement innovative solutions that streamline data ingestion, transformation, lineage tracking, and platform observability. Build frameworks for metadata-driven data engineering, enabling reusability and consistency across pipelines. Foster a culture of technical excellence, experimentation, and continuous improvement within the data engineering team. Collaborate with platform, architecture, analytics, and governance teams to align platform enhancements with enterprise data strategy. Define and uphold SLOs, monitoring standards, and data quality KPIs for production pipelines and infrastructure. Partner with cross-functional teams to translate business needs into scalable, governed data products. Mentor engineers across the team, promoting knowledge sharing and adoption of modern engineering patterns and tools. Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals. Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures. Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures. Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Good to have deep expertise in Biotech & Pharma industries Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications 12 to 17 years of experience in Computer Science, IT or related field AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About The Role Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Principal Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Architect and maintain robust, scalable data pipelines using Databricks, Spark, and Delta Lake, enabling efficient batch and real-time processing. Lead efforts to evaluate, adopt, and integrate emerging technologies and tools that enhance productivity, scalability, and data delivery capabilities. Drive performance optimization efforts, including Spark tuning, resource utilization, job scheduling, and query improvements. Identify and implement innovative solutions that streamline data ingestion, transformation, lineage tracking, and platform observability. Build frameworks for metadata-driven data engineering, enabling reusability and consistency across pipelines. Foster a culture of technical excellence, experimentation, and continuous improvement within the data engineering team. Collaborate with platform, architecture, analytics, and governance teams to align platform enhancements with enterprise data strategy. Define and uphold SLOs, monitoring standards, and data quality KPIs for production pipelines and infrastructure. Partner with cross-functional teams to translate business needs into scalable, governed data products. Mentor engineers across the team, promoting knowledge sharing and adoption of modern engineering patterns and tools. Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals. Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures. Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures. Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Good to have deep expertise in Biotech & Pharma industries Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications 12 to 17 years of experience in Computer Science, IT or related field AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About Amgen Amgen is committed to unlocking the power of biotechnology to improve lives. With a strong foundation in science and a culture that embraces innovation, we’re advancing the development of transformative therapies through data, AI, and cutting-edge technologies. Role Summary The Associate Director, Product Management Operations is a strategic and operational leadership role responsible for advancing Amgen’s Product Management practice in India. This role will own the development and scaling of the practice while also serving as a people manager for Product Managers and Business Analysts. You’ll set the direction for how product management is practiced, embedded, and matured across teams. While you’ll be accountable for coaching and strategy, you’re expected to stay close to the work—hands-on when needed to support key initiatives, drive clarity, or unblock delivery. In addition to core product responsibilities, this role will also provide leadership oversight for Agile PMO and Business Performance areas. Two Senior Managers will lead these functions directly, and while they will own the execution, the Associate Director will guide overall alignment, ensure integration with broader priorities, and act as the key connection point across teams. This position is based in India and works in close alignment with U.S.-based Capability Leads, providing a critical bridge between global strategy and regional execution. Key Responsibilities Practice Leadership Lead the evolution and execution of Product Management practices across the India capability center. Define and promote modern product management principles, tools, and standards. Champion customer-centricity, measurable outcomes, and lean experimentation across product teams. Collaborate with global Capability Leads to align practices and ensure consistency in delivery. Serve as a thought partner and advisor to product teams on roadmaps, prioritization, and go-to-market approaches. Step into delivery as needed—whether shaping product direction, validating user needs, or supporting product discovery. People Leadership Manage a growing team of Product Managers and Business Analysts. Foster a high-performance culture grounded in growth, accountability, and collaboration. Coach team members on craft, delivery, and stakeholder engagement. Lead hiring, onboarding, and talent development efforts for the product function in India. Cross-Functional Collaboration Partner with U.S. Capability Leads and cross-functional teams across engineering, data science, and business functions. Align product team efforts with enterprise goals and capability roadmaps. Ensure strong stakeholder relationships and feedback loops across time zones and geographies. Agile PMO and Business Performance Provide leadership alignment and coordination across Agile PMO and Business Performance functions. Partner with Sr. Managers to ensure effective planning, delivery tracking, and portfolio performance insights. Serve as the primary point of contact for these functions within the India leadership team and with U.S. counterparts. Basic Qualifications 16 to 20 years of experience in Information/Tech Systems Preferred Experience & Skills 6–8+ years in a senior product management or product leadership role, ideally with practice ownership. Experience defining and scaling product management capabilities in a matrixed organization. Hands-on experience in product discovery, roadmap planning, and cross-functional delivery. Familiarity with data and AI products, and ability to operate in highly technical environments. Skilled in Agile/SAFe methodologies and product operating models. Strong communication and influencing skills across technical and business audiences. Experience working with globally distributed teams; biotech/pharma experience is a plus. Soft Skills Strong balance of strategic thinking and willingness to roll up sleeves when needed. Confident and clear communicator who builds trust quickly. Effective at balancing structure with flexibility in dynamic environments. Team-first mindset with a commitment to shared success. What You Can Expect From Us You’ll be part of a growing and globally connected product organization focused on unlocking the value of data and AI for healthcare innovation. Amgen offers a supportive environment, competitive rewards, and a strong focus on personal and professional development.

Job Description Position : Consulting Member of Technical Staff Location : Bengaluru Karnataka , India At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really thoughtful, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. Within OCI, AI Services team's one of the goals is to improve user experience and solve challenging problems through seamless employee services by enabling AI/ML services like NLP , Vision, Machine Translation etc. We are seeking a seasoned ML Architect/Senior Engineer with strong background in software design , development and experience in architect application or platform around ML ops, dev ops and ML Platform. The ideal candidate will collaborate with multi-functional teams to design, implement, and optimize ML Services and Platform. A successful candidate will be a person who enjoys diving deep into ML infrastructure, doing analysis, discovering root causes, and designing long-term solutions. You will be joining our AL infra and platform Engineering Service team who is responsible for building AI Platform, AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services - thereby improve customer experience and service resiliency. So you will have an opportunity to design, implement systems end to end by helping select the right technologies, and envisioning a long-term architecture is part of the role. Finally, we always look for enthusiastic, passionate individuals with a willingness to learn new technologies. Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with important tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage Preferred Qualification BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience 10+ years of total experience in software development Hands-on experience Design, developing and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong proficiency in programming languages such as Python, Java and ML frameworks/libraries such as Tensor flow , Pytorch or sci kit-learn Strong knowledge of Container and its Orchestration technology like Kubernetes, docker Solid understanding of software engineering principles, including version control , testing and deployment automation Communicate effectively to multiple collaborators on value and insights from data Make Recommendations and influence the AI service roadmap for our platforms & services to constantly improve Customer experience. Mentor other ML engineers/developer, and help them to develop their projects related to experimentation and evaluation. Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements Develop robust methods for model monitoring in production and learning from feedback Ability to work with incomplete requirements and handle multiple projects with deadlines Employer Description As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with critically important tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage Career Level - IC5 Responsibilities Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with critically important tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Description As a Global Media Strategist you will manage paid media strategy and delivery for Salesforce’s Paid Media Campaigns in the India market, that drive engagement and pipeline. The APAC Global Media Strategy team supports a scalable global paid media model, and will serve as a regional hub of media expertise, thought leadership, and innovation to deliver effective and efficient paid media programs across the region. Your core focus will be managing the performance and growth of paid media campaigns through high-impact, measurable marketing investments that create quality pipeline and revenue growth for Salesforce in India. You will provide strategic media planning, operational rigor, and data-driven insights to ensure marketing investments deliver measurable business impact, while partnering with media agencies to deliver flawless media execution at scale. You will work cross-functionally with partners such as our media agency, ad partners, field marketing, product marketing, global integrated marketing, AdTech, campaign operations, and media intelligence teams to build effective and efficient programs. The role is based at Salesforce’s Bangalore office with an expected in-office time min 2-3 days per week. Responsibilities: Digital media planning and buying : Responsible for regional media planning, experimentation, delivery and optimization across our portfolio of campaigns, while incorporating relevant local market insights and nuances. Key Tasks Include: Overall responsibility for delivering quarterly paid media campaigns in partnership with the media agency. Driving paid media performance. Adjusting plans as required, according to evolving global and local business needs. Delivering monthly and quarterly reports as per globally aligned rhythm of the business. Develop media briefs : Develop clear and strategic paid media briefs for the media agency that outline objectives, budget, audience insights, digital media mix, media KPIs, and creative available, in order to achieve the business goals and objectives. Key Tasks Include: Deliver quarterly Field Priority Media Briefs aligned to the business priorities of the India Field Marketing team. Share Media Briefs with the regional media agency as per agreed planning timeliness. Media agency briefing and media plan approval : Provide the media agency with clear media briefs, including budget, recommended media mix, audience targeting, creative formats, and KPIs. Approve final media plan developed by the agency. Key Tasks Include: Partner with regional media agency to deliver channel plans according to the media strategy and brief, and ensure campaign delivery as planned. Ensure creative offers and assets for local and global campaigns, aligned to media plan, are delivered to the media agency by agreed timelines. Where required, communicate local content needs and spec requirements to creative partners to ensure creative and media integration. Review media and channel plans delivered by the agency, ensure they deliver on the media brief, and obtain final plan approval. Ensure that the regional media agency completes the required planning documents, as per agreed planning timelines. Ensure delivery and performance of allocated programs and campaigns aligned to the local market. Deliver media channel plans informed by media briefs : In partnership with the media agency, deliver media channel plans that are informed by global and local media briefs, that deliver on the goals of the brief. Partner with global and local creative teams to ensure creative materials are delivered as per the recommended media plan. Key Tasks Include: In partnership with the media agency, deliver quarterly media plans, informed by media briefs, and as per agreed planning timelines. Represent the India marketing team to ensure that relevant local market nuances and insights are factored into global and local media plans, while delivering on the goals of the brief. Complete the media strategy unified media plan as required, and in accordance with Media Finance and Media Operations procedures. Audience targeting and messaging strategy : Define audience segmentation and key messaging themes based on business priorities. Collaborate with the audience team to gather customer insights that inform targeting strategies. Key Tasks Include: Determine the best channels to reach the campaign target audiences. For global priority campaigns, align to local market audience segmentation requirements, as per the media brief. For field priority campaigns, incorporate local audience segmentation and local messaging nuances into media briefs for the agency. Gather India customer insights to inform targeting strategies. Work with local field marketing and product marketing teams to determine target account lists as required, aligned to media plan priorities. Budget allocation and forecasting : Determine the distribution across channels, audience and objectives, to deliver on. Key Tasks Include: Responsible for digital media campaign budget management, forecasting and KPI attainment for India. Provide budget recommendations by channel, as part of the digital media briefing process. Partner with Media Finance to ensure India budgets are delivered as planned, according to Media Finance policies and procedures. Media delivery oversight, performance tracking and optimisation : Monitor campaign performance and optimisations; oversee pacing and performance tracking against KPIs; identify trends and insights into which channels, audience segments and creatives are driving the best results, to inform future media decisions; reporting and analysis of campaigns and lead generation. Key Tasks Include: Own delivery and performance of digital paid media in India. Work with the Media AdTech team to deliver campaigns and content via Integrate as required. Ensure global Paid Media AdTech and PMO processes and methods are adopted and leveraged in India, and as per agreed planning and execution timelines. Partner with media agency to ensure that digital media is delivered as planned in India. Partner with Media Intelligence and the media agency to help deliver paid media performance metrics and insights. Reporting and insights : Support monthly and quarterly business reviews with key key stakeholders by providing insights and performance data, as well as contributing to campaign wrap-up reports. Key Tasks Include: Partner with the Paid Media PMO on monthly and quarterly reporting deliverables and timelines for India digital paid media campaigns, using agreed reporting templates. Partner with the media agency to obtain India digital media performance insights, media channel optimisations, creative optimisations, learnings and recommendations, to improve current performance and inform future campaigns. Review India monthly and quarterly reports with manager (Snr Director Media Lab, APAC) for final review, prior to distribution. Innovation, testing and learning : Stay up-to-date on the latest media trends and vendor technologies to ensure your paid media plans are on the cutting edge of innovation. Continually test and iterate to ensure we are getting the most value out of each dollar spent. Key Tasks Include: Incorporate a testing and learning framework into paid media briefs and plans. Leverage new media channels and innovations from other markets. Share experiments and learnings in India with local and global partners. Cross-team collaboration : Own relationships with key external stakeholders across field, campaigns, and product marketing teams, communicating performance and ensuring we have the elements necessary for optimization and performance. Key Partners Include: Regional Media Agency: partner closely with the global media agency based in India and at the regional level, to develop and deliver media plans and reporting requirements for India. APAC Paid Media Team: connect with peers across ASEAN and ANZ for team support and to share learnings and insights across the region. Global Paid Media Team: partner with paid media team globally, leveraging additional support and global best practices, and contributing to global learnings. India Field Marketing Team: partnersing with India Field Marketing to understand business priorities and gather locally relevant insights to support media plans. You’re a Perfect Fit If You Have: Mandatory 8+ years of professional experience in performance marketing or general online/digital marketing, preferably in the B2B industry. Experience managing budgets across different sizes: experimental to scaled (e.g., millions). Media planning experience that includes choosing optimal audiences, channels, platforms, messaging, and ads to meet company goals. Fluency across paid social, programmatic display, content syndication, review sites, 3rd party email. Ability to think strategically, combined with a passion for driving results via demand generation. Thrive working in a fast-moving environment (agency or start-up experience a plus), and can adapt easily to change. Strong analytical thinker, driven problem solver, and a curiosity to understand the why as well as the what, in order to optimise performance and make continuous improvements. Proven track record of building strong relationships with stakeholders of all levels, enabling yourself and the APAC media team to deliver great work. Strong team player with excellent organization and people skills and the ability to set priorities, problem-solve, multi-task and work in a global, dynamic, and rapidly changing environment. Exceptional communicator and collaborative/team mentality. Proficiency in Salesforce, Google Analytics, Tableau, Excel and/or Google Sheets. Experience managing vendors and media agencies.

🧠 Job Title: Senior Machine Learning Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 4–8 years Education : B.Tech / M.Tech / Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields 🚀 About Darwix AI Darwix AI is India's fastest-growing GenAI SaaS startup, building real-time conversational intelligence and agent-assist platforms that supercharge omnichannel enterprise sales teams across India, MENA, and Southeast Asia. Our mission is to redefine how revenue teams operate by using Generative AI, LLMs, Voice AI , and deep analytics to deliver better conversations, faster deal cycles, and consistent growth. Our flagship platform, Transform+ , analyzes millions of hours of sales conversations, gives live nudges, builds AI-powered sales content, and enables revenue teams to become truly data-driven — in real time. We’re backed by marquee investors, industry veterans, and AI experts, and we’re expanding fast. As a Senior Machine Learning Engineer , you will play a pivotal role in designing and deploying intelligent ML systems that power every layer of this platform — from speech-to-text, diarization, vector search, and summarization to recommendation engines and personalized insights. 🎯 Role Overview This is a high-impact, high-ownership role for someone who lives and breathes data, models, and real-world machine learning. You will design, train, fine-tune, deploy, and optimize ML models across various domains — speech, NLP, tabular, and ranking. Your work will directly power critical product features: from personalized agent nudges and conversation scoring to lead scoring, smart recommendations, and retrieval-augmented generation (RAG) pipelines. You’ll be the bridge between data science, engineering, and product — converting ideas into models, and models into production-scale systems with tangible business value. 🧪 Key Responsibilities🔬 1. Model Design, Training, and Optimization Develop and fine-tune machine learning models using structured, unstructured, and semi-structured data sources. Work with models across domains: text classification, speech transcription, named entity recognition, topic modeling, summarization, time series, and recommendation systems. Explore and implement transformer architectures, BERT-style encoders, Siamese networks, and retrieval-based models. 📊 2. Data Engineering & Feature Extraction Build robust ETL pipelines to clean, label, and enrich data for supervised and unsupervised learning tasks. Work with multimodal inputs — audio, text, metadata — and build smart representations for downstream tasks. Automate data collection from APIs, CRMs, sales transcripts, and call logs. ⚙️ 3. Productionizing ML Pipelines Package and deploy models in scalable APIs (using FastAPI, Flask, or similar frameworks). Work closely with DevOps to containerize and orchestrate ML workflows using Docker, Kubernetes, or CI/CD pipelines. Ensure production readiness: logging, monitoring, rollback, and fail-safes. 📈 4. Experimentation & Evaluation Design rigorous experiments using A/B tests, offline metrics, and post-deployment feedback loops. Continuously optimize model performance (latency, accuracy, precision-recall trade-offs). Implement drift detection and re-training pipelines for models in production. 🔁 5. Collaboration with Product & Engineering Translate business problems into ML problems and align modeling goals with user outcomes. Partner with product managers, AI researchers, data annotators, and frontend/backend engineers to build and launch features. Contribute to the product roadmap with ML-driven ideas and prototypes. 🛠️ 6. Innovation & Technical Leadership Evaluate open-source and proprietary LLM APIs, AutoML frameworks, vector databases, and model inference techniques. Drive innovation in voice-to-insight systems (ASR + Diarization + NLP). Mentor junior engineers and contribute to best practices in ML development and deployment. 🧰 Tech Stack🔧 Languages & Frameworks Python (core), SQL, Bash PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost, LightGBM 🧠 ML & AI Ecosystem Transformers, RNNs, CNNs, CRFs BERT, RoBERTa, GPT-style models OpenAI API, Cohere, LLaMA, Mistral, Anthropic Claude FAISS, Pinecone, Qdrant, LlamaIndex ☁️ Deployment & Infrastructure Docker, Kubernetes, GitHub Actions, Jenkins AWS (EC2, Lambda, S3, SageMaker), GCP, Azure Redis, PostgreSQL, MongoDB 📊 Monitoring & Experimentation MLflow, Weights & Biases, TensorBoard, Prometheus, Grafana 👨‍💼 Qualifications🎓 Education Bachelor’s or Master’s degree in CS, AI, Statistics, or related quantitative disciplines. Certifications in advanced ML, data science, or AI are a plus. 🧑‍💻 Experience 4–8 years of hands-on experience in applied machine learning. Demonstrated success in deploying models to production at scale. Deep familiarity with transformer-based architectures and model evaluation. ✅ You’ll Excel In This Role If You… Thrive on solving end-to-end ML problems — not just notebooks, but deployment, testing, and iteration. Obsess over clean, maintainable, reusable code and pipelines. Think from first principles and challenge model assumptions when they don’t work. Are deeply curious and have built multiple projects just because you wanted to know how something works. Are comfortable working with ambiguity, fast timelines, and real-time data challenges. Want to build AI products that get used by real people and drive revenue outcomes — not just vanity demos. 💼 What You’ll Get at Darwix AI Work with some of the brightest minds in AI , product, and design. Solve AI problems that push the boundaries of real-time, voice-first, multilingual enterprise use cases. Direct mentorship from senior architects and AI scientists. Competitive compensation (₹30L–₹45L CTC) + ESOPs + rapid growth trajectory. Opportunity to shape the future of a global-first AI startup built from India. Hands-on experience with the most advanced tech stack in applied ML and production AI. Front-row seat to a generational company that is redefining enterprise AI. 📩 How to Apply Ready to build with us? Send your resume, GitHub/portfolio, and a short write-up on: “What’s the most interesting ML system you’ve built — and what made it work?” Email: people@darwix.ai Subject: Senior ML Engineer – Application 🔐 Final Notes We value speed, honesty, and humility. We ship fast, fail fast, and learn even faster. This role is designed for high-agency, hands-on ML engineers who want to make a difference — not just write code. If you’re looking for a role where you own real impact , push technical boundaries, and work with a team that’s as obsessed with AI as you are — then Darwix AI is the place for you. Darwix AI – GenAI for Revenue Teams. Built from India, for the World.

About The Role We are looking for a Senior Data Engineer to lead the design and implementation of scalable data infrastructure and engineering practices. This role will be critical in laying down the architectural foundations for advanced analytics and AI/ML use cases across global business units. You’ll work closely with the Data Science Lead, Product Manager, and other cross-functional stakeholders to ensure data systems are robust, secure, and future-ready. Key Responsibilities Architect and implement end-to-end data infrastructure including ingestion, transformation, storage, and access layers to support enterprise-scale analytics and machine learning. Define and enforcedata engineering standards, design patterns, and best practices across the CoE. Lead theevaluation and selection of tools, frameworks, and platforms (cloud, open source, commercial) for scalable and secure data processing. Work with data scientists to enable efficient feature extraction, experimentation, and model deployment pipelines. Design forreal-time and batch processing architectures, including support for streaming data and event-driven workflows. Own thedata quality, lineage, and governance frameworks to ensure trust and traceability in data pipelines. Collaborate with central IT, data platform teams, and business units to align on data strategy, infrastructure, and integration patterns. Mentor and guide junior engineers as the team expands, creating a culture of high performance and engineering excellence. Qualifications 10+ years of hands-on experience in data engineering, data architecture, or platform development. Strong expertise inbuilding distributed data pipelines using tools like Spark, Kafka, Airflow, or equivalent orchestration frameworks. Deep understanding ofdata modeling, data lake/lakehouse architectures, and scalable data warehousing (e.g., Snowflake, BigQuery, Redshift). Advanced proficiency inPython and SQL, with working knowledge of Java or Scala preferred. Strong experience working oncloud-native data architectures (AWS, GCP, or Azure) including serverless, storage, and compute optimization. Proven experience in architectingML/AI-ready data environments, supporting MLOps pipelines and production-grade data flows. Familiarity withDevOps practices, CI/CD for data, and infrastructure-as-code (e.g., Terraform) is a plus. Excellent problem-solving skills and the ability to communicate technical solutions to non-technical stakeholders.

As the Lead Performance Marketer, you will own and drive Sprinto’s global paid acquisition strategy across digital channels. You’ll focus on accelerating pipeline growth and revenue impact from paid media, primarily targeting the North America market. In this role, you will manage large budgets, oversee strategic planning and execution across channels, and mentor a growing team of Performance Marketers (including Senior PMs). You'll report directly to the Director of Demand Generation and work closely with Sales, Product Marketing, and Content teams to align paid media efforts with broader go-to-market goals. Responsibilities Own the Paid Media Strategy: Develop, execute, and scale Sprinto’s performance marketing strategy across Google Ads, LinkedIn, Meta, and other relevant platforms to drive pipeline and revenue growth. Channel Leadership: Lead execution and optimization of large-budget campaigns (>$100K/month), balancing acquisition cost, efficiency (CPA, CPL), and ROAS while driving high-quality pipeline. Pipeline Contribution: Drive strong alignment with the Director of Demand Generation and Sales teams to ensure paid media efforts directly impact pipeline and revenue targets. Analytics & Reporting: Lead the setup of performance measurement frameworks. Analyze and report on campaign effectiveness using Google Analytics, Salesforce, HubSpot, and other attribution tools. Experimentation & CRO: Champion a culture of experimentation through A/B testing (ads, landing pages, CTAs) and work with the Growth and Web teams to optimise conversion funnels (CRO). Audience & Segmentation Strategy: Own audience segmentation, retargeting, and full-funnel nurture strategies to improve lead quality and conversion rates. Cross-functional Collaboration: Partner closely with Product Marketing, Content, and Design teams to ensure campaign messaging, creative, and audience targeting align with Sprinto’s positioning and ICPs. Agency & Vendor Management: Manage external paid media partners, tools, and vendors as needed to execute campaigns at scale. Qualifications 10+ years of hands-on and strategic experience in performance marketing, with significant experience in B2B SaaS demand generation targeting North America markets. Proven experience managing and optimising large monthly budgets ($100K+), with strong ownership of revenue pipeline contribution from paid channels. Deep expertise in Google Ads, LinkedIn Ads, and other key B2B paid platforms. Strong grasp of account structure, bid strategies, audience targeting, and platform optimisation levers. Strong analytical mindset with proficiency in Google Analytics (GA4), Google Tag Manager, HubSpot, Salesforce, and multi-touch attribution models. Expertise in CRO, landing page optimisation, and A/B testing methodologies. Benefits Remote First Policy 5 Days Working With FLEXI Hours Group Medical Insurance (Parents, Spouse, Children) Group Accident Cover Company-Sponsored Device Education Reimbursement Policy

Who are we and what do we do? BrowserStack is the world's leading software testing platform powering over two million tests every day across 19 global data centers. BrowserStack's products help developers build bug-free software for the 5 billion internet users accessing websites and mobile applications through millions of combinations of digital environments—devices, browsers, operating systems, and versions. We help Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed by moving testing to our Cloud. With BrowserStack, Dev and QA teams can move fast while delivering an amazing experience for every customer. BrowserStack was founded by Ritesh Arora and Nakul Aggarwal in 2011 with the vision of becoming the testing infrastructure for the internet. We recently secured $200 million in Series B funding at a $4 billion valuation in June 2021. At BrowserStack We Solve Real Problems—each Day Is a Unique Challenge And An Opportunity To Make a Difference. We Strive To Be Open, Transparent, And Collaborative, So No Feat Is Too Big To Achieve. BrowserStack Is An Extension Of Its People And a Place Where They Can Grow Both Professionally And Personally. To That Effect, We’re Humbled To Be Recognized By Leading Organizations Around The World BrowserStack is Great Place to Work-Certified™ 2020-21 Named “SaaS Startup of the Year” in 2022 by SaaSBOOMi Ranked in Forbes Cloud 100 in 2021 - for the second time Featured in LinkedIn Top Startups India 2018 Role in a Nutshell As a Product Growth manager, you will build and drive the GTM strategy for our products. You will directly contribute to driving customer acquisition and revenue growth. This role will help you develop a 360-degree view of the GTM motion of a B2B developer product. You will develop compelling product positioning and messaging that communicates the value of BrowserStack products in a differentiated manner to our target audience, driving awareness and trial of product launches. You will bring a growth mindset and build the channel strategy for our products. You will identify opportunities to leverage existing channels such as Content, SEO, Developer relations, etc and nurture new channels to drive product growth. You will develop initiatives and work closely with Product, Marketing, Monetization, Partnerships, and Sales teams to experiment with, validate, and execute them. What You’ll Do? Be a strategic growth partner for each product, actively contributing to solving key GTM problems that directly impact critical success metrics. Drive continuous improvement in messaging, creative and channel strategy to increase conversion. Support new product/feature launches by partnering with brand, digital marketing, PR etc to roll out an integrated GTM plan for driving awareness and trial. Partner closely with product and sales team to produce high impact collaterals including Pitch Deck, Battlecards, Sales sheets, ROI calculators, Build vs Buy etc Deep dive into different channels, understand the key levers that influence each channel Communicate a point of view on what channel might work best for a particular product Place bets on individual channels and assess product-channel fit by performing experiments and double down when successful Partner with channel owners to inform investment across various channels through rapid experimentation and ROI analysis. What You’ll Bring 3+ years’ experience in either Product Management, Strategy, Product Marketing or Growth Marketing roles, ideally with SaaS products. Strong problem solving and analytical skills Prior knowledge with messaging, positioning, different channels of distribution is a plus, not mandatory A compelling communicator with the ability to influence leadership and senior stakeholders in the organization Interested and willing to learn best practices of developer products Experience marketing technical products (developer tools, frameworks, platforms) with the ability to understand underlying tech and developer personas is a bonus. Benefits In addition to your total compensation, you will be eligible for following benefits, which will be governed by the Company policy: Medical insurance for self, spouse, upto 2 dependent children and Parents or Parents-in-law up to INR 5,00,000 Gratuity as per payment of Gratuity Act, 1972 Unlimited Time Off to ensure our people invest in their wellbeing, to rest and rejuvenate, spend quality time with family and friends Remote-First work environment that allows our people to work from anywhere in India Remote-First Benefit for home office setup, connectivity, accessories, co-working spaces, wellbeing to ensure an amazing remote work experience

about us : Career Basket Services (CBS) Engage | Educate | Evolve. "Empowering Institutions | Engaging Educators | Inspiring Students" Since 2017, Career Basket Services has been at the forefront of transforming how India’s education ecosystem connects, communicates, and grows.Our mission is simple — to Engage the right audiences, Educate through impactful campaigns, and help institutions and educators Evolve in a dynamic academic landscape. Empowering Institutions — with student engagement campaigns, admissions strategy & digital outreach Engaging Educators — through a powerful community and knowledge-sharing network. Inspiring Students — via career workshops, masterclasses & exposure to real-world opportunities . From on-ground events to digital brand building, we’ve worked with 200+ institutions, 500+ educators, and reached over 1 lakh students. EdEE The CBS Mobile App – , India’s first AI-powered education community, driving impactful collaboration among Educators, Institutions, Industry, and Students. coming soon . Location - Nungambakkam , Chennai Work Schedule This is a full-time, in-office position. Working Hours: 9:30 AM to 6:30 PM IST Job Overview: We are seeking a skilled and results-oriented Performance Marketing Specialist with 3 to 5 years of experience to join our digital marketing team. This role is ideal for someone who thrives in a fast-paced agency environment and has hands-on experience managing and optimizing paid campaigns for education institute clients and . You will be responsible for developing and executing data-driven performance marketing strategies that drive measurable results for our clients. Strong spoken English and client communication skills are essential. Key Responsibilities: Plan, execute, and manage high-performance paid marketing campaigns across Google Ads, Meta Ads (Facebook & Instagram), and other relevant platforms. Strategize and allocate media budgets effectively to maximize ROI and achieve client KPIs. Continuously monitor and optimize campaign performance metrics such as CTR, CPA, ROAS, and conversions. Conduct regular A/B testing and creative experimentation to improve ad efficiency and audience engagement. Prepare clear, data-driven performance reports and confidently present campaign insights, strategies, and results to clients. Optimize landing pages, sales funnels, and conversion paths to drive stronger lead quality and conversion rates (CRO). Stay on top of platform updates, industry trends, competitor activities, and emerging tools to improve campaign effectiveness. Collaborate with internal creative and content teams to ensure campaigns are aligned with client goals. Required Qualifications : 3 to 5 years of hands-on experience in performance marketing, preferably in a digital marketing agency or managed services environment. Proven expertise in running and optimizing paid campaigns on platforms like Google Ads and Meta Ads. Strong analytical mindset with the ability to interpret campaign data and derive actionable insights. Proficiency with tracking and reporting tools such as Google Analytics, Google Tag Manager, and similar platforms. Excellent verbal and written communication skills in English, with confidence in client-facing roles. Ability to multitask, manage multiple client accounts, and deliver results within deadlines. Experience in both B2B and B2C campaign strategies is a strong advantage. CBS : https://www.careerbaskets.com/

Job Description Responsibilities: Delivering Value through Agile Project Leadership: Translate strategic vision into executable roadmaps with clear priorities, milestones, and resource allocations. Champion Agile methodologies, leading teams in iterative development cycles to ensure timely and efficient delivery. Proactively manage project risks and dependencies, navigating challenges within budget and resource constraints. Foster a culture of transparency and open communication, regularly updating stakeholders and addressing concerns collaboratively. Leverage data-driven insights to track project performance, identify improvement opportunities, and optimize delivery processes. Technical Expertise: Deep understanding of cloud-native principles, including microservices architecture, containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and DevOps practices. Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP). Proven ability to implement and manage infrastructure provisioning, application deployment, and cloud resources. Champion automation, actively promoting and implementing tools for infrastructure, configuration, deployment, and testing. Product-Centric Mindset: Translate product strategy into technical requirements and architecture. Collaborate effectively with Product Managers and Product Owners to understand user needs and deliver high-quality, scalable products. Ensure engineering decisions are aligned with business goals and drive value. Talent Management and Team Leadership: Build and nurture a high-performing team of cloud-native engineers. Attract and hire top talent with the right skills and passion for cloud-native development. Create an environment for continuous learning and growth, fostering mentorship and career development. Foster a culture of innovation, experimentation, and continuous learning within the engineering team. Lead and mentor engineers in Agile methodologies like Scrum or Kanban, ensuring efficient delivery against agreed priorities. Bonus Points: Security expertise in cloud environments. Experience with cloud-native monitoring and observability tools. Familiarity with container orchestration platforms like Kubernetes. Open-source contribution and community involvement. Leadership in building and maintaining a diverse and inclusive engineering team. Benefits: Opportunity to work with cutting-edge technologies and solve real-world challenges. Collaborative and supportive work environment. Competitive salary and benefits package. Chance to make a significant impact on the success of our company. Responsibilities Responsibilities: Delivering Value through Agile Project Leadership: Translate strategic vision into executable roadmaps with clear priorities, milestones, and resource allocations. Champion Agile methodologies, leading teams in iterative development cycles to ensure timely and efficient delivery. Proactively manage project risks and dependencies, navigating challenges within budget and resource constraints. Foster a culture of transparency and open communication, regularly updating stakeholders and addressing concerns collaboratively. Leverage data-driven insights to track project performance, identify improvement opportunities, and optimize delivery processes. Technical Expertise: Deep understanding of cloud-native principles, including microservices architecture, containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and DevOps practices. Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP). Proven ability to implement and manage infrastructure provisioning, application deployment, and cloud resources. Champion automation, actively promoting and implementing tools for infrastructure, configuration, deployment, and testing. Product-Centric Mindset: Translate product strategy into technical requirements and architecture. Collaborate effectively with Product Managers and Product Owners to understand user needs and deliver high-quality, scalable products. Ensure engineering decisions are aligned with business goals and drive value. Talent Management and Team Leadership: Build and nurture a high-performing team of cloud-native engineers. Attract and hire top talent with the right skills and passion for cloud-native development. Create an environment for continuous learning and growth, fostering mentorship and career development. Foster a culture of innovation, experimentation, and continuous learning within the engineering team. Lead and mentor engineers in Agile methodologies like Scrum or Kanban, ensuring efficient delivery against agreed priorities. Bonus Points: Security expertise in cloud environments. Experience with cloud-native monitoring and observability tools. Familiarity with container orchestration platforms like Kubernetes. Open-source contribution and community involvement. Leadership in building and maintaining a diverse and inclusive engineering team. Benefits: Opportunity to work with cutting-edge technologies and solve real-world challenges. Collaborative and supportive work environment. Competitive salary and benefits package. Chance to make a significant impact on the success of our company. Qualifications Technical Expertise: Deep understanding of cloud-native principles, including microservices architecture, containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and DevOps practices. Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP). Proven ability to implement and manage infrastructure provisioning, application deployment, and cloud resources. Champion automation, actively promoting and implementing tools for infrastructure, configuration, deployment, and testing.

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Responsibilities Bachelor's degree in computer science , information systems or related fields. 7+ years of experience in IT with at least 4 years in an integration lead role Understanding of cloud platforms (AWS) and hybrid integration patterns Proficiency in designing and implementing RESTFUL API's , SOAP and Web Services and messaging queues Certifications in integration platforms Lead the design , development and implementation of integration solutions using API's , Middleware Provide Technical support to the team of integration developers Ensure Integration solutions align with security, scalability and compliance requirements Develop and Maintain documentation for integration architecture,interfaces and data flows Evaluate and recommend tools and technologies that support integration objectives. Experience and Expertise in Ws02 Qualifications Nice to have: aws Cloud engineer, aws services. SQL intermediate to advanced network security basics network infrastructure background network security advanced

Principal Software Engineering Manager Hyderabad, Telangana, India Date posted Jul 25, 2025 Job number 1824112 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Overview The E+D Growth Team's role is to help grow our user and customer base so we can fulfill Microsoft's mission of empowering every person and organization on the planet to achieve more. We do this through Product-Led Growth motions that we develop, facilitate, and partner with teams throughout Microsoft to deliver so we can bring more of Microsoft's software - across Microsoft 365, Windows, and elsewhere - to more users and convert those users into customers. We work with every segment of the market including consumers and businesses of all sizes, helping to facilitate improved engagement, retention, and acquisition for the wide array of products inside of the Experiences and Devices organization. Lead the next wave of growth for Microsoft's most transformative products. As part of the E+D Growth team, you will help define and deliver our Product-Led Growth (PLG) strategy across Windows, Office, and beyond crafting magical, AI-powered experiences that hundreds of millions of people rely on every day. As a Principal Software Engineering Manager you will play a critical role in driving the adoption and monetization of Microsoft 365 Copilot through Product-Led Growth methodologies. This role requires a strategic thinker with a deep understanding of product development, user experience, experimentation, and data-driven decision-making. We are builders, explorers, and connectors and we are looking for a like-minded Software Engineering Managers who thrives on driving big ideas from spark to scale. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 5+ years of experience operating online services. 5+ years of people management experience. Preferred Qualifications: Bachelor's Degree in Computer Science OR related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Exceptional skills in influencing and aligning diverse stakeholders across product, design, marketing, research, and business disciplines. Ability to think strategically while diving deep into details, you can balance big-picture vision with day-to-day execution. Experience working with AI/ML-powered experiences, platform services, or large-scale subscription businesses is a plus. Passion for customer-centric innovation, operational excellence, and building inclusive, high-performance team cultures. 5+ years people management experience. People management experience at a big tech company. #DPG #ExDGrowth #IDCMicrosoft #DPG #ExDGrowth #IDCMicrosoft Responsibilities Guides partnership with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements within and across teams. Guides team and leads identification of dependencies and the development of design documents for a product, application, service, or platform. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Guides team to drive multiple group's project plans, release plans, and work items in coordination with appropriate stakeholders (e.g., project managers). Guides team and act as an expert for Designated Responsible Individual (DRI) and monitors other engineers across product lines, working on call to monitor system/product/service for degradation, downtime, or interruptions. Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and holds accountability for products that do not meet expectations. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The people here at Apple don’t just build products - we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. We are looking for a competent, experienced, and driven machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple. Description As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems. YOU SHOULD BE ABLE TO: - Understand a business challenge - Collaborate with business and other multi-functional teams - Design a statistical or deep learning solution to find the needed answer to it. - Develop it by yourself or guide another person to do it. - Deliver the outcome into production, (v) Keep a good governance of your work. There are meaningful opportunities for you deliver impactful influences to Apple. Key Qualifications 4+ years of ML engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management Experience developing AI/ML systems at scale in production or in high-impact research environments Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems Knowledge with the common frameworks and tools such as PyPorch or TensorFlow Experience with transformer models such as BERT, GPT etc. and understanding of their underlying principles is a plus Strong coding, analytical, software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment Experience in handling performance, application and security log management Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis. Proficiency in programming languages and tools like Python, R, Git, Airflow, Notebooks. Experience with data visualization tools like matplotlib, d3.js., Tableau would be a plus Education & Experience Bachelor’s Degree or Equivalent experience Submit CV

Title: Executive - API R&D Date: Jul 25, 2025 Location: Tandalja - R&D Company: Sun Pharmaceutical Industries Ltd Role: To execute activities related to R&D Peptide Process Development & Scale-ups, along with a group comprising of Research Officers/ Research Assistants in co-ordination with Team/Group Leader Details of Previous Work Experience (Mandatory Requirement) Literature search and ROS (Route of Synthesis) finalization Basic knowledge of Orthogonal protected amino acid and Peptide Solid phase peptide Synthesis/Oligonucleodtide Synthesis Handling of hazardous chemical like Trifluoroacetic acid Knowledge of handling of analytical HPLC/Oligo Synthesis Purification using Preparative HPLC Preparative column packing and usage. Computer literacy etc. Knowledge of Phosphoramidalin /handling/storage Job Description: Literature search with respect to assigned project and finalizing the non-infringing synthetic route Experimentation (Process development, DoE study, optimization and validation). Purification of Peptide and knowledge of lyophilisation of pure solution. Handling of analytical HPLC and preparation of buffer. Characterisation of Peptide using HRMS,2D NMR, IR, Peptide mapping and sequencing. Preparation of Technology transfer documents. Scaling-up of process developed at R&D. Assisting to RA in filing DMF. General Laboratory Management etc.

6 months3 years of product marketing experience, preferably in SaaS. Track record in launching and marketing SaaS products, enabling upselling/cross-selling. Experience creating sales enablement collaterals (solution docs, case studies). Collaborative, self-driven, and a problem solver. Creative with good written and verbal communication skills. Comfortable in deadline-driven, multi-tasking environments. Open to feedback, experimentation, and continuous learning. Aligns with values of integrity, people-first culture, and respect for all. Kindly share your updated cv at Seema@4bell.com or contact me via WhatsApp. WhatsApp Message Link: https://wa.me/8287903044 Best regards, Seema Seema@4bell.com Call or WhatsApp: 8287903044 Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Work Location: In person Speak with the employer +91 8287903044