27201 Ml Jobs - Page 21

We are seeking a dynamic, tech-savvy, and result-driven Account Manager with 6+ years of experience in selling IT services and digital product engineering solutions . The ideal candidate should have a proven track record in B2B sales, particularly in web and mobile development , UI/UX design , and custom software solutions . You will represent BigStep to prospects and clients, delivering high-impact pitches, conducting independent discovery and proposal calls, and nurturing long-term client relationships. Key Responsibilities Take complete ownership of the sales cycle from lead qualification to deal closure. Represent BigStep independently and professionally in client calls, discovery meetings, demos, and presentations. Understand client business challenges and consultatively pitch tailored solutions across web, mobile, UI/UX, product engineering, cloud/DevOps, and AI/ML domains . Convert qualified leads into long-term business relationships through strategic engagement and value-driven storytelling. Prepare and deliver engaging sales presentations, product demos, proposal walkthroughs, and capability decks. Collaborate with internal teams (Engineering, Design, Product) to align proposed solutions with client needs and project feasibility. Foster strong and lasting relationships with key decision-makers to drive repeat business, referrals, and long-term growth. Represent the company at industry events, conferences, and webinars to network and identify new business opportunities. Maintain accurate documentation of sales activities and pipeline through CRM systems. Required Skills 6+ years of experience in B2B IT services or product engineering sales , preferably in digital/web/mobile technology domains. Strong knowledge of software development workflows , UI/UX design principles, product engineering workflows, and digital transformation trends . Exceptional communication and interpersonal skills , with the ability to influence, negotiate, and build trusted relationships. Tech-savvy with a quick grasp of digital platforms, tools, and solutioning approaches. Self-motivated, proactive, and confident in handling independent client engagements and strategic conversations. Experience with CRM tools, pipeline management, and a structured sales methodology.

Job Title: Business Development Executive Experience: 2 to 4 year Location: Ahmedabad Department: Sales About Simform: Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market. Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow. Role Overview: We are looking for a dynamic and results-driven Business Development Executive to identify and create new business opportunities for Simform's software services. The ideal candidate will have strong communication skills, experience in lead generation, and a keen understanding of international markets and technologies used in software development. Key Responsibilities Identify and generate business opportunities for Simform's software services. Conduct lead generation through cold calls, cold emails, LinkedIn outreach, and other channels. Utilize LinkedIn effectively for networking and establishing professional connections. Set up meetings and appointments with CXO-level professionals. Develop and maintain relationships with prospective clients to understand their business needs. Collaborate with internal teams to ensure alignment with client requirements and deliverables. Stay updated on international market trends and emerging technologies in software development. Required Skills & Qualifications 1-3 years of experience in business development, sales, or a related field. Strong verbal and written communication skills. Proficiency in using LinkedIn and other professional networking platforms. Basic understanding of different technologies used to build software. Ability to engage with high-level professionals and build long-term relationships. Knowledge of international market trends and business expansion strategies. Benefits Of Joining Us Young Team, Thriving Culture Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture. Well-balanced learning and growth opportunities Free health insurance. Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks. Sponsorship for certifications/events and library service. Flexible work timing, leaves for life events, WFH and hybrid options

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask. Implement gRPC services, event-driven systems (Kafka, PubSub), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development: data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow, Dagster, SageMaker, and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation, A/B testing, and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python, FastAPI/Flask, gRPC, and event-driven architectures. Experience with CI/CD, infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices: feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration. Familiarity with tools like Airflow/Dagster, SageMaker, and data pipeline architecture.

We’re on a mission to design and deliver technology that improves lives. We're expanding our AI capabilities and looking for a Computer Vision Engineer who lives and breathes vision-driven AI systems. Join our collaborative team of innovators to solve meaningful problems across robotics, automation, and enterprise AI platforms. What You'll Do Lead the design, training, and deployment of computer vision models for a variety of applications Tackle real-world problems in image recognition, object detection, tracking, and scene understanding Collaborate closely with engineers and product teams to integrate CV models into autonomous or intelligent systems Research and implement cutting-edge techniques in deep learning and visual AI Optimize models for edge devices and real-time inference in production environments What We're Looking For 5+ years of experience in AI/ML with a strong focus on Computer Vision Proven experience with deep learning frameworks like TensorFlow, PyTorch, and libraries such as OpenCV Hands-on expertise with CNNs, Transformers, YOLO, segmentation models, and real-time inference Strong Python skills and experience deploying models to production Bonus: Experience in robotics, embedded systems, or real-time computer vision solutions Why Join IntimeTec? Be part of a company that values innovation, integrity, and impact Work on high-impact vision systems with real-world deployment Collaborate with a passionate team of engineers solving complex, meaningful challenges Thrive in an environment that supports continuous learning, autonomy, and growth

About the Company: I-PAC (Indian Political Action Committee) is a leading consulting firm that provides innovative, data-driven solutions to tackle the most complex campaign challenges. We specialize in delivering strategic insights and actionable plans that drive growth, enhance performance, and maximize the impact of campaigns. Our expertise lies in aligning creative strategies with seamless execution, ensuring every campaign achieves its goals. From crafting tailored messaging to optimizing campaign logistics, we are committed to delivering results that address immediate needs while building long-term success for our clients. About the Role: Are you someone who sees the story behind every frame? Do you love bringing raw footage to life with your editing skills and creative touch? We’re on the lookout for a talented Video Editor to join our content or post-production team, someone who’s equal parts artist and technician. Whether it's a quick-turnaround reel, a cinematic trailer, or a long-form documentary, you know how to craft visuals that captivate, inform, and inspire. This role is a unique opportunity to shape and influence India's political landscape through impactful visual storytelling. Responsibilities: Editing video content for a wide range of formats- think social media clips, ads, mini-docs, event promos, reels, and more. Cutting together trailers, teasers, and sizzle reels that hit the emotional mark and drive engagement. Weaving compelling narratives using footage, music, graphics, pacing, and transitions. Adding finishing touches like sound design, subtitles, animations, and visual effects to bring videos to life. Working closely with directors, producers, motion designers, and content strategists to align your edits with brand tone and creative goals. Managing multiple projects at once while meeting deadlines and maintaining a high level of polish. Optimizing content for different platforms—YouTube, TikTok, Instagram, OTT, and beyond. Qualifications: At least 2 years of hands-on experience in video editing or post-production. Bachelor’s/Master’s degree from a Tier-1 institute with 1-2 years of experience in Communication, Media, or related field. A solid portfolio that shows versatility in editing styles and storytelling. Proficiency in editing software like Adobe Premiere Pro, After Effects, Final Cut Pro, DaVinci Resolve—or your tools of choice. A good eye for pacing, rhythm, transitions, and overall visual storytelling. Confidence in editing scenes with a sense of flow and emotion—especially for social-first content. Required Skills: Trailer-Cutting Chops: You know how to build emotional momentum and rhythm, especially with music. Motion Graphics Skills: Experience with After Effects or similar tools for animations, title design, and lower thirds. AI Tools Savvy: You've worked with platforms like Chatgpt, Runway ML, Pika, Sora, ElevenLabs, or other generative AI tools to level up your edits. Colour Grading Expertise: Strong sense of color theory, with the skills to give footage that cinematic punch. Sound Design Basics: From syncing to ambient effects, you can make audio feel just right. Green Screen Know-How: Confident with chroma keying and background replacements. Multicam Experience: You’re comfortable syncing and cutting footage from multiple camera angles. Workflow Efficiency: Use of templates, LUTs, presets, and other hacks to streamline your process. Subtitles & Voiceovers: Familiarity with adding multilingual captions and VO integration. If you are passionate about political campaigns, digital strategy, and grassroots mobilization, this role offers a unique opportunity to shape and influence India’s political landscape! Equal Opportunity Statement: We are committed to diversity and inclusivity in our hiring practices.

Relocation Assistance Offered Within Country Job Number #167759 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Brief Introduction – Role Summary/Purpose: Are you passionate about innovation and automation in testing? As a Test Developer in Colgate-Palmolive's Testing Center of Excellence, you will be driving the transformation of business needs into powerful testing solutions—empowering teams to deliver top-quality products. You’ll play a key role in developing, implementing, and evolving automation standards and frameworks, creating real impact across our technology organization. This position is based in Mumbai. Responsibilities: Designing, developing, and delivering innovative automated testing solutions that drive business value. Modeling, documenting, and continuously improving testing processes across the software development lifecycle. Leading the adoption of cutting-edge automation and AI-powered tools, while championing best practices and developer standards. Collaborating across business and IT teams, translating requirements into scalable technical solutions. Maintaining and enhancing test environments and automation frameworks to ensure optimal reliability and performance. Required Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 4–5 years of experience with SAP, test automation, test design, and reporting. Advanced expertise with automation tools such as UiPath, Micro Focus UFT, and LoadRunner. Strong grasp of SAP end-to-end processes (e.g., Order to Invoice, Procure to Pay, Logistics). Hands-on experience working with test management tools (e.g., Micro Focus ALM, JIRA). Preferred Qualifications: Engineering degree in Computer Science, Information Technology, or a related technical discipline. Experience or interest in AI/ML-powered testing tools (e.g., UiPath Autopilot). Collaborative mindset and excellent communication skills with business and technical stakeholders. Passion for driving continuous improvement, learning new technologies, and strategic problem-solving.Familiarity with emerging test automation methodologies and tools. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Wissen Technology is Hiring fo r React Developer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a highly skilled React Developer to join our dynamic team in Bangalore . This is a brilliant opportunity to solve complex problems in the financial industry while working with cutting-edge technologies. The ideal candidate will have deep expertise in front-end development and a passion for creating robust, scalable web applications. Required Skills : Should have 4+ years hands on experience in web technologies like JavaScript, HTML5 & CSS. Expert level knowledge of JavaScript including latest edition(s) of JavaScript (ES2023). Knowledge of typescript is a plus. Hands on experience with JavaScript frameworks like React 17 and above versions Good understanding of asynchronous request handling, partial page updates like Promises, RxJS Proficient in advanced CSS3, HTML5 and Bootstrap. Exposure to css -in- js libraries like stylets or others is beneficial. Able to translate mockups in Figma or illustrator to actual working components. Working experience on testing tool like karma/jasmine/enzyme. Basic understanding of nodejs is beneficial. Proficient understanding of code versioning tools, such as Git Excellent analytical/reasoning skills Good team player Excellent written and verbal communication skills The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right ’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to W ork® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard ’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website : www.wissen.com LinkedIn : https ://www.linkedin.com/company/wissen-technology Wissen Leadership : https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All

Wissen Technology is Hiring fo r Network Engineer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a highly skilled Senior Network Engineer with over 8 years of experience in LAN/WAN design, network certification, and lab validation of enterprise network systems. The ideal candidate will bring deep technical expertise across Cisco, Arista, and Juniper platforms, and demonstrate the ability to lead complex network initiatives independently. Experience: 8 - 12 Years Location: Bengaluru Required Skills: 8+ years of experience required, extensive experience with LAN/WAN network design, engineering, and code/ feature certification/validation. Experience with testing design and certification of products in LAB environments a MUST CCNP level experience. Strong Knowledge of working with protocols such as OSPF, BGP, QoS, IPSec, PIM Strong Experience with Cisco Platforms such as Catalyst, Nexus, Dell Mi/o, HP 6120/ 6125/ Moonshot family Experience with MAB/ Port Security/ NAC/ 802.1x Strong Knowledge of Certification of new code, and bug Scrubs on IOS/XE/NXOS/ and limited XR Experience with Arista Platforms such as 7280, 7504 etx . Experience developing strategies with multiple vendors Experienced with creating design documents for each certification which includes engineering guidelines. -Experience with Tools such as IXIA to test and certify various designs and troubleshoot networks issues. Good knowledge IP Routing BGP, MP-BGP, OSPF, RIP, MPLS, L2-VPNs, Spanning-tree protocol, Understanding of network protocols, network platforms such as Cisco/Juniper/Arista to design and troubleshoot new implementation. Wireshark Multicast: IGMPv2/3, PIM-SM, PIM-SSM, AutoRP , BSR, Static RP, RP-Anycast, MSDP IP Routing Platforms ISRg2, ASR1K, Catalyst, Juniper MX a plus L2 and L3 QoS Cisco Switching Platforms Cat3K, 4K, 6K, SUP6e/6le/7e/7le/8e SUP32, SUP720. Extensive knowledge of Switching and Switching mechanisms like CEF, TCAM Knowledge on Arista and/ or Juniper switch/ routing platforms are a plus Understanding of new protocols being deployed intra and inter Data Center( LISP,VXLAN , NV-GRE, eVPN ) AWS (or Azure cloud equivalent)... Cloud Computing direct connect/Amazon EC2, Amazon S3, Amazon Simple DB, Amazon Elastic Load Balancing, Amazon DNS and other se Data Center power and cooling, cabling 10/ 25G/40G/50G/100G desired Cloud computing, Virtualization industry standard and trends, server technologies a plus Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec Manage vendor, coordinate testing and evaluate PoC Possess ability to interpret data quickly and effectively. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Excellent written and verbal communication skills. Must work well in team environment. The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right ’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to W ork® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard ’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website : www.wissen.com LinkedIn : https ://www.linkedin.com/company/wissen-technology Wissen Leadership : https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership : https://www.wissen.com/articles/ Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview

About Us We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real . Introduction At ofi, we are at the forefront of harnessing cutting-edge technology to revolutionize our operations. We aim to leverage machine learning and artificial intelligence to drive transformative business outcomes and create value for our clients. We are committed to a culture of innovation, diversity, and continuous improvement, where every team member can contribute and thrive. As a ML Engineer, you will be crucial in developing advanced algorithms and models to tackle complex problems. Your expertise will drive the deployment and upkeep of intelligent systems that enhance our products and services. You will work within a collaborative environment, leveraging data and machine learning to influence business strategies and improve operational efficiency. Key Deliverables Deliver end-to-end ML solutions: Architect and implement state-of-the-art models—classification, regression, clustering, reinforcement learning—precisely tuned to solve high-value business problems. Engineer data & experimentation pipelines at scale: Build reliable, self-service pipelines for ingesting, cleaning, transforming, and aggregating data, and orchestrate rigorous offline/online experiments (cross-validation, A/B tests) to benchmark accuracy, latency, and resource cost. Embed ML seamlessly into products: Partner with data scientists, backend/frontend engineers, and designers to wire models into production services and user experiences, ensuring low-friction integration and measurable product impact. Operate, monitor, and evolve models in production: Own the DevOps stack—automated CI/CD, containerization, and cloud deployment—and run real-time monitoring to detect drift, performance degradation, and anomalies, triggering retraining or rollback as needed. Uphold engineering excellence & knowledge sharing: Enforce rigorous code quality, version control, testing, and documentation; lead code reviews and mentoring sessions that raise the team’s ML craftsmanship. Safeguard data privacy, security, and compliance: Design models and pipelines that meet regulatory requirements, apply robust access controls and encryption, and audit usage to ensure ethical and secure handling of sensitive data. Qualification & Skills Formal grounding in computing & AI: Bachelor’s / Master’s in Computer Science, Data Science, or a related quantitative field. Proven production experience: 4+ years shipping, deploying, and maintaining machine-learning models at scale, with a track record of solving complex, real-world problems. End-to-end technical toolkit: Python (Pandas, NumPy), ML frameworks (TensorFlow, PyTorch, scikit-learn), databases (SQL & NoSQL), and big-data stacks (Spark, Hadoop). MLOps & cloud deployment mastery: Containerization (Docker, Kubernetes), CI/CD pipelines, and monitoring workflows that keep models reliable and reproducible in production. Deep applied-ML expertise: Supervised and unsupervised learning, NLP, computer vision, and time-series analysis, plus strong model-evaluation and feature-engineering skills. Collaboration & communication strength: Clear communicator and effective team player who can translate business goals into technical solutions and articulate results to diverse stakeholders. ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.

Wissen Technology is Hiring for Java + Python Developer About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time. Job Summary: We’re looking for a versatile Java + Python Developer who thrives in backend development and automation. You'll be working on scalable systems, integrating third-party services, and contributing to high-impact projects across fin tech/data platforms/cloud-native applications Experience: 2-10 Years Location: Bengaluru Mode of work: Full time Key Responsibilities: Design, develop, and maintain backend services using Java and Python Build and integrate RESTful APIs, microservices, and data pipelines Write clean, efficient, and testable code across both Java and Python stacks Work on real-time, multithreaded systems and optimize performance Collaborate with DevOps and data engineering teams on CI/CD, deployment, and monitoring Participate in design discussions, peer reviews, and Agile ceremonies Required skills: 2–10 years of experience in software development Strong expertise in Core Java (8+) and Spring Boot Proficient in Python (data processing, scripting, API development) Solid understanding of data structures, algorithms, and multithreading Hands-on experience with REST APIs, JSON, SQL/NoSQL (PostgreSQL, MongoDB, etc.) Familiarity with Git, Maven/Gradle, Jenkins, Agile/Scrum Preferred Skills: Experience with Kafka, RabbitMQ, or message queues Cloud services (AWS, Azure, or GCP) Knowledge of data engineering tools (Pandas, NumPy, PySpark, etc.) Docker/Kubernetes familiarity Exposure to ML/AI APIs or DevOps scripting Wissen Sites: Website: www.wissen.com LinkedIn: https://www.linkedin.com/company/wissen-technology Wissen Leadership: https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership: https://www.wissen.com/articles/

Job Title: AI Technical Project Manager Experience: 10+ Years Location : Chennai / Hyderabad only Industry : Healthcare Job Summary: We are looking for a seasoned AI Technical Project Manager with over 10 years of experience in delivering AI/ML-driven solutions. The ideal candidate started their career as a Machine Learning Engineer and has since evolved into a leadership role, managing end-to-end delivery of AI projects across diverse domains. This role requires strong technical fluency in AI/ML concepts, paired with hands-on program/project management experience in Agile environments. Note: Need Strong knowledge or real-time experience on AI/ML, MLOPS

Your Key Responsibilities Your responsibilities include, but not limited to: Lead a team of 10+ associates to support key deliverables for Region Europe promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives. Conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources. Design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems. Oversee data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives. Collaborate with cross-functional global teams to ensure accurate delivery of key projects. Provide thought leadership to foster a culture of data-driven decision-making. Identify best practices across the organization and industry, providing inputs to the team and the broader community. Drive data-driven innovation and support operational excellence through simplification and automation initiatives. Minimum Requirements What you'll bring to the role: Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred. 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues. Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred. Experience working with large datasets, data visualization tools, statistical software packages, and platforms (specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx). Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI is a significant plus. Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is a significant plus. Project management tools and practices with high proficiency in MS-Excel and PPT required. You'll Receive Breakdown of benefits received in this role. Include flexible working, learning and development opportunities as well. Why Sandoz? Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, touched the lives of almost 500 million patients last year and while we are proud of this achievement, we have an ambition to do more! With investments in new development capabilities, state-of-the-art production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably. Our momentum and entrepreneurial spirit is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is encouraged! The future is ours to shape! #Sandoz

Role Overview As a Senior Solution Architect, you will be at the forefront of transforming how our clients harness the power of data. You will collaborate closely with our Sales and Delivery teams to ensure our customers achieve groundbreaking results with their data and AI solutions. With your specific expertise of enterprise environments and leading tools like Snowflake and AWS, you will guide clients through the process of creating groundbreaking solutions requiring advanced Data, ML, and AI architectures. You will play a critical role in sales pursuits, developing technology roadmaps for existing clients, and in developing talent within our delivery teams. Core Responsibilities Collaborate with clients to define Data and AI architectures, strategies and roadmaps. Collaborate with sales and delivery teams to understand customer requirements and develop tailored cloud solutions using Snowflake, AWS, and other data technologies. Develop and deliver proposals and SOWs that delivery teams can successfully execute. Lead, mentor, and inspire a team of data and AI consultants to achieve their full potential Foster a culture of learning and development, encouraging team members to pursue certifications, training, and professional growth opportunities Provide expertise in Snowflake data modelling, ELT using Snowflake SQL, Snowflake Stored Procedures/UDF/advanced SQL scripting, and standard Data Lake/Data Warehouse concepts. Stay current with Snowflake technology innovations, with the ability to recommend and implement the latest technology in client environments. Improve and maintain the OneSix methodology and approach to service delivery. Qualifications 10+ years in technology services in client-facing, consultative leadership roles 5+ years in Data Engineering, Analytics, ML, and/or AI 2+ years of Snowflake experience in enterprise-scale implementations. Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, and virtual warehouses. Experience with data migration to Snowflake cloud data warehouse. Deep understanding of relational data stores, methods, and approaches (star and snowflake, dimensional modelling). Ability to develop and maintain documentation of the data architecture, data flow, and data models of the data warehouse. Strong problem-solving skills and ability to work independently with minimal supervision. Experience working directly with customers in a pre-sales or consulting capacity. Strong communication and presentation skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Relevant certifications (e.g., Snowflake SnowPro Certification, AWS Certified Solutions Architect) preferred. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data, or a related field Impactron Benefits Impactron offers an exciting opportunity to become an integral part of a rapidly growing consulting organisation and grow rapidly with it. Impactron offers competitive salaries and excellent incentives, with a strong focus on the physical, financial, and mental well-being of employees. At impactron, you'll work on some of the most prominent organisations across the globe and will work as a trusted advisor to them. There is great potential for developing your career in this early-stage, fast-growing consulting organisation founded by seasoned entrepreneurs who have decades of experience in building, exiting, and running multiple successful organisations. Company Description Impactron Global is a UK-based IT consulting company that operates global capabilities centres (GCCs) in India for our global clients. We are setting up an India centre for a leading data and artificial intelligence (AI) consultancy in the US. They help businesses build the strategy, technology, and teams they need to scale growth and efficiency. You’ll be joining a team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. This consultancy is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. It is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company.

At Viamagus, we are looking for a Technical Engineering Lead – ML/AI who combines deep machine learning expertise with a hands-on, execution-oriented approach to leadership. You will lead by owning architecture, driving complex AI initiatives, and ensuring your team achieves ambitious goals. We’re seeking someone proactive, curious, and passionate about solving real-world problems using AI , including cutting-edge developments in Generative AI, LLMs, and intelligent agents. Key Responsibilities Drive the design, development, and deployment of models, including both traditional and generative (LLMs, agents, fine-tuning). Lead by example —contribute hands-on to model development, data pipelines, and solution implementation. Build and optimize data training and evaluation pipelines for large-scale, high-volume datasets. Translate complex business problems into scalable AI solutions, collaborating across teams. Use creative problem-solving techniques to address challenging engineering issues. Leverage Generative AI to build intelligent systems using LLMs , including prompt engineering, fine-tuning, and multi-agent systems. Develop and maintain robust data pipelines —covering ingestion, transformation, and storage (e.g., data lakes). Ensure clean, reliable input data through preprocessing, quality analysis, and feature engineering. Write and maintain high-quality Python code in production environments. Monitor, evaluate, and optimize model performance post-deployment. Must-Haves 4–7 years of hands-on experience in machine learning and AI, including leadership in technical execution. Strong proficiency in Python . Proven ability to build end-to-end ML pipelines , including training and deployment at scale. Deep understanding and hands-on experience with LLMs, prompt tuning, fine-tuning, and AI agents. Experience working with large datasets and performance-optimized data pipelines. Strong problem-solving ability and a passion for experimentation and learning. Good to Have Familiarity with ClickHouse or other analytical database systems. Exposure to tools such as FastAPI , MLFlow , Meltano , Prefect , or similar. Experience with MLOps and CI/CD for ML systems. Formal foundational education in ML/AI (e.g., academic coursework, certification, or specialization). Educational background in Mathematics, Statistics , or a related quantitative field. Mode: Full-time Location: Remote

About Us We're an innovative startup at the forefront of voice AI technology, creating solutions that transform how brands, creators, and developers engage with their audiences. Our platform enables natural-sounding voice synthesis and generation for applications ranging from content creation to customer service and beyond. The Role We're seeking an experienced Fullstack Developer with strong expertise in both Ruby on Rails and React to join our growing team. In this role, you'll work across our entire technology stack to build and enhance features that power our voice AI platform. The ideal candidate combines backend reliability with frontend finesse and can work independently in a remote environment. What You'll Do Feature Development: Build end-to-end features that span both backend services and user interfaces Backend Development: Design and implement scalable Rails services, APIs, and database structures Frontend Implementation: Create responsive, intuitive React interfaces that showcase our voice AI capabilities API Integration: Develop and consume RESTful APIs that connect our frontend and backend systems Database Management: Design efficient database schemas and optimize queries for performance Testing & Quality: Implement comprehensive test suites for both backend and frontend code DevOps Collaboration: Work with our infrastructure team on deployment, monitoring, and scaling Performance Optimization: Identify and resolve bottlenecks across the full application stack Security Implementation: Ensure our applications follow security best practices Technical Documentation: Create and maintain documentation for our codebase and processes Who You Are Full-Stack Thinker: You understand how all components fit together from database to user interface Problem Solver: You enjoy tackling complex technical challenges across the entire stack Quality Focused: You write clean, maintainable code and value comprehensive testing User-Centered: You understand the impact of your work on end-users and optimize their experience Self-Motivated: You can work independently and take ownership of your projects Collaborative: You communicate effectively with team members across different disciplines Adaptable: You thrive in a fast-paced startup environment where priorities may shift Continuous Learner: You stay updated with development trends and are eager to expand your skills Requirements 4+ years of professional software development experience 3+ years of experience with Ruby on Rails in production environments 2+ years of experience with React in production environments Strong understanding of RESTful API design and implementation Experience with SQL databases (PostgreSQL preferred) and query optimization Proficiency in JavaScript, including ES6+ features Experience with frontend state management (Redux, Context API, etc.) Proficiency in writing automated tests for both backend (RSpec, Minitest) and frontend (Jest, RTL) Experience with version control systems (Git) and CI/CD pipelines Strong understanding of software design patterns and principles Excellent communication skills for remote collaboration Nice to Have Experience with Next.js framework Knowledge of TypeScript Experience with GraphQL Background working with audio processing or media-rich applications Experience with AI/ML systems integration Understanding of containerization (Docker) and orchestration (Kubernetes) Experience with AWS or other cloud platforms Knowledge of web accessibility standards (WCAG) What We Offer Competitive salary and equity package The opportunity to work with cutting-edge AI technology Flexible remote work environment Professional development opportunities Collaborative culture with a team of talented engineers How to Apply Please send your resume, GitHub profile or examples of your work, and a brief introduction to [email address]. We look forward to hearing from you! We're an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Company Description At MindWise, we are dedicated to revolutionizing the US healthcare industry through cutting-edge IT solutions. We provide tailored technology services that empower healthcare organizations to deliver better patient outcomes, enhance operational efficiency, and drive innovation. Our offerings include custom software development, healthcare IT consulting, and advanced healthcare analytics. Our team comprises experienced professionals who intimately understand the challenges and nuances of the US healthcare sector, and we believe in forging strong partnerships with our clients to deliver solutions that exceed expectations. Role Description This is a full-time remote role for an MLOps Engineer. The MLOps Engineer will be responsible for implementing and managing machine learning pipelines and infrastructure. Day-to-day tasks will include developing and maintaining scalable architecture for data processing and model deployment, collaborating with data scientists to optimize model performance, and ensuring the reliability and efficiency of machine learning solutions. The role also involves managing cloud-based resources and ensuring compliance with security and data protection standards. Key Responsibilities Cloud Infrastructure Management o Design, deploy, and maintain AWS resources (EC2, ECS, Elastic Beanstalk, Lambda, VPC, VPN) o Implement infrastructure-as-code using Terraform and Docker for consistent and reproducible deployments o Optimize cost, performance, and security of compute and storage solutions Database & Server Architecture o Manage production-grade RDS MySQL instances with high availability, security, and backups o Design scalable server-side infrastructure and ensure tight integration with Django-based services Job Scheduling & Data Pipelines o Build and monitor asynchronous task workflows with Celery, SQS, and SNS o Manage data processing pipelines, ensuring timely and accurate job execution and messaging Monitoring & Logging o Set up and maintain CloudWatch dashboards, alarms, and centralized logging for proactive incident detection and resolution Machine Learning & NLP Infrastructure o Support deployment of NLP models on SageMaker and Bedrock, and manage interaction with vector databases and LLMs o Assist in productionizing model endpoints, workflows, and monitoring pipelines CI/CD & Automation o Maintain and improve CI/CD pipelines using CircleCI o Ensure automated testing, deployment, and rollback strategies are reliable and efficient Healthcare Data Integration o Support ingestion and transformation of clinical data using HL7 standards, Mirth Connect, and Java-based parsing tools o Enforce data security and compliance best practices in handling PHI and other sensitive healthcare data Qualifications • 5+ years of experience in cloud infrastructure (preferably AWS) • Strong command of Python/Django and container orchestration using Docker • Proficiency with Terraform, infrastructure-as-code best practices • Experience in setting up and managing messaging systems (Celery, SQS, SNS) • Understanding of NLP or ML model operations in production environments • Familiarity with LLM frameworks, vector databases, and SageMaker workflows • Strong CI/CD skills (CircleCI preferred) • Ability to work independently and collaboratively across engineering and data science teams Nice to Have • Exposure to HIPAA compliance, SOC2, or healthcare regulatory requirements • Experience scaling systems in a startup or early-growth environment • Contributions to open-source or community infrastructure projects • Hands-on experience with HL7, Mirth Connect, and Java for healthcare interoperability is a big plus

Job Title: Project Manger - GenAI Team Department : Artificial Intelligience / Generative AI Location Bangalore / Noida About the Company & Role : We are one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. As a part of the Analytics & Engineering Team , you will have a great chance to build tools and pipelines from early days by reinventing the concept of using data for the greater good. About the Role : We are seeking a Project Manager to lead our Generative AI (GenAI) initiatives in political consulting, managing AI-driven projects across political research, survey analytics, digital communications, and campaign intelligence. This role will oversee the end-to-end lifecycle of AI tools designed for predictive polling, voter sentiment analysis, and digital campaign optimization — ensuring delivery aligned with electoral timelines and campaign objectives. Key Responsibilities Political AI Project Management ● Define and execute project plans for GenAI-driven political research and communication tools. ● Lead AI initiatives in survey automation, trend projection, sentiment analysis, and booth-level voter modeling. ● Integrate AI insights with research data (quantitative & qualitative) and digital outreach strategies. Digital Communications Integration ● Oversee AI applications in social media monitoring, digital content generation, and audience targeting. ● Ensure insights from GenAI tools inform digital narratives, influencer strategies, and online reputation management. ● Collaborate with the digital team to optimize campaign outreach via predictive content recommendations. Cross-Functional Coordination ● Coordinate across Data Science, Engineering, Political Intelligence (PI), Quant, and Digital teams for seamless execution. ● Facilitate weekly sprint reviews with department POCs to track milestones and dependencies. ● Ensure GenAI outputs align with both strategic research objectives and digital campaign timelines. Quality & Risk Management ● Validate AI insights for accuracy, ethical compliance, and electoral sensitivity. ● Ensure data privacy and compliance with election commission regulations. Innovation & Strategic Impact ● Explore emerging GenAI frameworks (OpenAI, Gemini, Anthropic) for political communication and research applications. ● Automate manual workflows in surveys and digital outreach for improved operational efficiency. Required Sills & Qualifications Education ● Bachelor’s degree in Data Science, Computer Science, or related disciplines. ● MBA (preferred), especially with specialization in Strategy, Analytics, or Communications. ● PMP/Agile/Scrum certification is preferred. Experience ● 3-5 years in project management; 1–2 years in AI/ML projects preferred . ● Experience managing projects involving electoral research, voter data, and digital communications. Technical Skills ● Knowledge of LLMs and GenAI workflows for both research and communications. ● Proficiency in PM tools (Jira, Asana, Trello) and data visualization platforms (Tableau, Power BI).

Description Set an end-to-end vision for key customer journeys leveraging new technologies to step-change the customer experience. Key job responsibilities Shopping experience is a fast evolving space globally and current technological innovations are showing promise in creating differentiated experiences that fundamentally change the way customers shop for Lifestyle products. Our vision is to offer the best-in-class lifestyle shopping experience to serve the highly demanding customer base in India. We are excited by the innovations in Gen-AI and LLM technologies which offer an opportunity to change the game by building simple and relevant customer experiences and become a matter of habit. The incumbent in this role (Sr. PM) will own building an end-to-end vision that step-changes the customer experience for some of the most preferred customer journeys in Fashion and Lifestyle shopping. The role involves defining the product strategy by identifying key CX drivers and leveraging upcoming technologies to deliver them. The role also requires this product leader to visualize and own working backward narratives for new patterns/paradigms of fashion shopping, and partner with WW teams to experiment new Gen-AI based solutions for product-specific discovery and evaluation. The PM in this role will work closely with India tech and ML teams, WW technology teams and business leadership to own and influence high stakes projects. The PM is expected to resolve significant obstacles and conflicting priorities as we create and implement the vision for high priority lifestyle businesses in India. This role will require hard influencing skills to resolve roadblocks, handle multi-dimensional conflicts to successfully build needle-moving experiences for Indian customers and then taking scalable solutions to our global customer base. A successful product leader in this role will also be expected to manage stakeholders across diverse tech groups. The ideal candidate will be enthusiastic about managing challenging, lengthy projects across multiple teams and locations. He or she will be comfortable marshaling large amounts of data to make decisions and build business cases. We are looking for a Product Manager who shares Amazon's passion for the customer—someone who understands the importance of building a great customer experience. Basic Qualifications 5+ years of product or program management, product marketing, business development or technology experience Experience with feature delivery and tradeoffs of a product Experience owning/driving roadmap strategy and definition Experience with end to end product delivery Experience as a product manager or owner Experience owning technology products Preferred Qualifications Experience in influencing senior leadership through data driven insights Experience working across functional teams and senior stakeholders Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3009442

Wissen Technology is Hiring fo r SQL With Python About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a skilled and detail-oriented candidate with a strong foundation in SQL, Python, and data processing techniques. The ideal candidate is passionate about transforming raw data into meaningful insights and has hands-on experience across the data pipeline—from data wrangling to visualization. Experience: 3 -7 Years Location: Bengaluru Required Skills: Strong experience with SQL (e.g., joins, subqueries, CTEs, window functions). Proficiency in Python for data manipulation (e.g., pandas, NumPy). Experience working with relational databases like MySQL, PostgreSQL, SQL Server, or Oracle . Hands-on experience in data wrangling , cleaning, and feature engineering. Understanding of ETL processes and tools . Familiarity with version control systems like Git. Knowledge of data visualization techniques and tools. Strong problem-solving and analytical skills. The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right ’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to W ork® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard ’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website : www.wissen.com LinkedIn : https ://www.linkedin.com/company/wissen-technology Wissen Leadership : https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership : https://www.wissen.com/articles/ Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview https://www.glassdoor.com/Reviews/Wissen-Infotech-Reviews-E287365.htm Great Place to Work: https://www.wissen.com/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-institute-india/ https://www.linkedin.com/posts/wissen-infotech_wissen-leadership-wissenites-activity-6935459546131763200-xF2k About Wissen Interview Process : https://www.wissen.com/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/ Latest in Wissen in CIO Insider: https://www.cioinsiderindia.com/vendor/wissen-technology-setting-new-benchmarks-in-technology-consulting-cid-1064.html

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and analytics? Then join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, and analytics professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and advanced analytics to change patients’ lives. The Data Science Industrialization team within Data Science Solutions and Initiatives leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer’s digital transformation. As the AI and Data Science Production Deployment Lead, you will be a leader within the Data Science Industrialization team charged with driving the deployment of AI use cases and reusable components into full production. You will lead a global team and partner with cross-functional business stakeholders and Digital leaders to catalyze identification, design, iterative development, and continuous improvements of deployment processes to support production data science workflows and AI applications. Your team will define and implement standard processes for quality assurance, testing, data ops, model ops, and dev ops while also providing SDLC, support, platform engineering, and cloud engineering guidance as needed. In addition, you will be responsible for providing critical input into the AI ecosystem and platform strategy to promote self-service, drive productization and collaboration, and foster innovation. Your team will be accountable to key Pfizer business functions (including Pfizer Biopharma, R&D, PGS, Oncology, and Enabling Functions) for production deployments of data science workflows and AI solutions that support major business objectives across all of Pfizer’s core business units. Role Responsibilities Lead deployment of production AI solutions and reusable software components with automated self-monitoring QA/QC processes Implement QA and testing, data ops, model ops, and DevOps for data science workflow products, industrialized workflow accelerators, and best practices in the production deployment of scalable AI/ML analytic insights products Enforce best practices for QA and testing and SDLC production support to ensure reliability and availability of deployed software Act as a subject matter expert for production deployment processes of data science workflows, AI solutions, and reusable software components on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support Direct QA and testing, data ops and model ops, DevOps, platform and cloud engineering research, advance data science workflow CI/CD orchestration capabilities, drive improvements in automation and self-service production deployment processes, implement best practices, and contribute to the broader talent building framework by facilitating related trainings Set a vision, prioritize workstreams, and provide day-to-day leadership, supervision, and mentorship for a global team with technical & functional expertise that includes QA and testing, DevOps, data science, and operations Coach direct reports to adopt best practices, improve technical skills, develop an innovative mindset, and achieve professional growth through technical and organizational thought leadership Communicate value delivered through reusable AI components to end user functions (e.g., Chief Marketing Office, Biopharma Commercial and Medical Affairs) and evangelize innovative ideas of reusable & scalable development approaches/frameworks/methodologies to enable new ways of developing and deploying AI solutions Partner with other leaders within the Data Science Industrialization team to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development Partner with AI use case development teams to ensure successful integration of reusable components into production AI solutions Partner with AIDA Platforms team on end to end capability integration between enterprise platforms and internally developed reusable component accelerators (API registry, ML library / workflow management, enterprise connectors) Partner with AIDA Platforms team to define best practices for production deployment of reusable components to identify and mitigate potential risks related to component performance, security, responsible AI, and resource utilization Basic Qualifications Bachelor’s degree in AI, data science, or engineering related area (Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline) 10+ years of work experience in data science, or engineering, or operations for a diverse range of projects 2-3 years of hands-on experience leading data science or AI/ML deployment and operations teams Track record of managing stakeholder groups and effecting change Recognized by peers as an expert in production deployment and AI/ML ops with deep expertise in CI/CD and DevOps for monitoring and orchestration of data science workflows, and hands-on development Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into clear insights and perspectives that can be understood by business stakeholders Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; engages with stakeholders throughout to ensure buy-in Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support Ability to manage projects from end-to-end, from requirements gathering through implementation, hypercare, and development of support processes to ensure longevity of solutions Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions Strong understanding of data science development lifecycle (CRISP) Deep experience with CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins) Deep understanding of MLOps principles and tech stack (e.g. MLFlow) Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc) Highly self-motivated to deliver both independently and with strong team collaboration Ability to creatively take on new challenges and work outside comfort zone Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Experience in solution architecture & design Experience in software/product engineering Strong hands-on skills for data and machine learning pipeline orchestration via Dataiku (DSS 10+) platform Hands on experience working in Agile teams, processes, and practices Pharma & Life Science commercial functional knowledge Pharma & Life Science commercial data literacy Experience with Dataiku Data Science Studio Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech

About The Opportunity Job Type: Permanent Application Deadline: 05 August 2025 Title Senior Analyst - Data Science Department Enterprise Data & Analytics Location Gurgaon Reports To Gaurav Shekhar Level Data Scientist 4 We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger. About Your Team Join the Enterprise Data & Analytics team — collaborating across Fidelity’s global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making. About Your Role As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity Canada. This role is designed to turn advanced analytics into real-world impact—driving growth, enhancing client experiences, and informing high-stakes decisions. You’ll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc. Collaborating closely with business stakeholders, data engineers, and technology teams, you’ll translate complex challenges into scalable AI solutions. You’ll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes. About You You have 4–7 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. You’re skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring deep expertise in developing and deploying models on AWS SageMaker, strong business problem-solving abilities, and are familiar with emerging GenAI trends. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred. Feel rewarded For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Before you apply, make sure that your resumes have access else your resume will NOT be considered. About the Role We are seeking a Senior AI/ML Engineer to design, fine-tune, and deploy large-scale AI/ML systems. You will work on QLoRA-based fine-tuning, VLLM inference, distributed training , and cloud-native deployments on platforms like AWS SageMaker and GCP Vertex AI Agent Builder . The role will also involve developing applied AI systems , including computer vision solutions using YOLO and OpenCV , and building scalable event-driven pipelines leveraging Cloud Pub/Sub . Key Responsibilities Fine-tune and optimize LLMs using QLoRA, PEFT, and Hugging Face Accelerators . Implement VLLM for efficient large-scale inference. Build distributed and parallel training systems (DeepSpeed, Ray, PyTorch DDP). Develop computer vision models using YOLO and OpenCV for real-world applications. Deploy and manage AI/ML models on AWS SageMaker, GCP Vertex AI , and other cloud MLOps platforms . Design and implement event-driven AI pipelines with Cloud Pub/Sub and other messaging systems. Define and track LLM and CV evaluation metrics (accuracy, factuality, hallucination rate, object detection performance). Integrate graph-based LLM tools for knowledge reasoning and multi-agent AI systems . Requirements 6+ years in AI/ML, with 3+ years in LLM and applied computer vision systems . Expertise in Python, PyTorch, Hugging Face, QLoRA/LoRA, VLLM, YOLO, and OpenCV . Experience with distributed systems, AWS/GCP cloud MLOps , and vector databases (FAISS/Milvus) . Familiarity with LangChain/LlamaIndex , agent-based AI frameworks , and event-driven architectures (Cloud Pub/Sub) . Strong track record of deploying AI/ML models into production at scale .

Key Responsibilities: Collaborate with cross-functional teams to build micro services or AI/ML-powered features and tools. Work on backend systems, APIs, or data pipelines that support AI workflows. REST APIs, database design, backend frameworks (Node.js, FastAPI, Spring Boot, etc.) Implement efficient algorithms and participate in code reviews. Take ownership of mini-projects under mentor guidance and deliver value. Write clean, maintainable, and well-documented code. Regularly share progress, blockers, and learnings in standups or syncs. What We’re Looking For: Students in B.Tech/M.Tech/BSc/MSc (CS/IT/AI/DS/Math) or equivalent from top engineering collage Solid understanding of Data Structures, Algorithms, and problem-solving . Exposure to AI/ML concepts – supervised learning, regression, classification, etc. Active GitHub with code samples or open-source contributions. Passionate about technology and solving real-life problems using code. Bonus: Experience with Python, NumPy, pandas, scikit-learn, TensorFlow/PyTorch is a plus. Bonus: Exposure to coding contests , Kaggle , Google Summer of Code , or similar communities. Technologies You May Work With: Languages: Python, Java, JavaScript, TypeScript Libraries/Frameworks: TensorFlow, PyTorch, FastAPI, Flask, Next.js Tools: GitHub, VS Code, Jupyter, Postman, Docker Databases: PostgreSQL, MongoDB Others: REST APIs, LLMs, Prompt Engineering, LangChain, Hugging Face

Job Title: Talent Acquisition Specialist Location: Noida Industry: Software Development | Artificial Intelligence Reports to: Talent Acquisition Manager Work Type: Full-Time | Onsite/Hybrid About Us Veersa is a HealthTech company that leverages emerging technology and data science to solve business problems in the US healthcare industry. Veersa has established a niche in serving small and medium entities in the US healthcare space through its tech frameworks, platforms, and tech accelerators. Veersa is known for providing innovative solutions using technology and data science to its client base and is the preferred innovation partner to its clients. Veersas rich technology expertise manifests in the various tech accelerators and frameworks developed in-house to assist in rapid solutions delivery and implementations. Its end-to-end data ingestion, curation, The transformation and augmentation framework has helped several clients quickly derive business insights and monetize data assets. Veersa teams work across all emerging technology areas such as AI/ML, IoT, and Blockchain and using Tech. stacks such as MEAN, MERN, PYTHON, GoLang, ROR, and backend such as Java Spring boot, NodeJS, and using databases like PostgreSQL, MS SQL, MySQL, Oracle on AWS and Azure cloud using serverless architecture. Veersa has two major business lines Veersalabs: An In-house R&D and product development platform and Veersa tech consulting: Technical solutions delivery for clients. Veersas customer base includes large US Healthcare software vendors, Pharmacy chains, Payers, providers, and Hospital chains. Though Veersas focus geography is North America, Veersa also provides product engineering expertise to a few clients in Australia and Singapore About Job Role - End-to-End Recruitment: Handle the complete recruitment lifecycle from sourcing to onboarding for technical roles across India. Technical Hiring: Source, screen, and evaluate candidates for Software Development, Data Engineering, AI/ML, DevOps, QA, and other IT roles. Stakeholder Management: Partner with hiring managers and business leaders to understand hiring needs, define hiring strategies, and provide talent market insights. Job Posting & Database Management: Manage job postings across platforms and maintain structured candidate databases. Candidate Experience: Ensure seamless and positive candidate experience throughout the hiring process. Data Management & Reporting: Use Excel and PowerPoint effectively for tracking, reporting, and presenting recruitment metrics and dashboards. ATS & Vendor Coordination: Work on Applicant Tracking Systems (ATS) and collaborate with external vendors if required. Must-Have Requirements Experience: 2 to 5 years of hands-on experience in technical recruitment for India geography. Industry Exposure: Must be currently working or have previously worked in a Software Development or AI company. Communication Skills: Excellent English communication skills (both verbal and written) are a must. Tools & Tech: Strong command over MS Excel (VLOOKUP, Pivot, Reporting) and PowerPoint (for presentations). Stakeholder Engagement: Demonstrated ability to manage and communicate effectively with internal stakeholders and hiring managers. Preferred Skills Experience with recruitment tools like LinkedIn Recruiter, Naukri, Indeed, and ATS platforms (e.g., Ceipal, Lever, Greenhouse, etc.). Prior exposure to hiring roles in emerging tech (AI/ML, Data Science, Cloud) is a plus. Knowledge of recruitment analytics, dashboards, and recruitment marketing strategies

This role is for one of Weekday's clients Min Experience: 10 years Location: Bengaluru, NOIDA JobType: full-time Requirements We are hiring a seasoned Tech Architect to lead the technology strategy and architecture for our Sales Velocity platforms. This is a high-impact role where you'll define and implement scalable solutions using modern full-stack technologies. The ideal candidate is a hands-on architect with deep technical expertise in Java, ReactJS, NodeJS, Angular, Spring Boot, JavaScript, Python, HTML5 , and CI/CD practices , as well as a strong understanding of cloud and DevOps ecosystems. You will work closely with cross-functional teams to design secure, scalable, and high-performing applications that accelerate our sales enablement initiatives. If you have a passion for architecture, technology leadership, and delivering cutting-edge solutions, we'd love to hear from you. Key Responsibilities: Lead end-to-end architecture, design, and implementation of enterprise-grade applications focused on Sales Velocity and enablement. Drive development across full-stack technologies: Java (Spring Boot) for backend, ReactJS, Angular, JavaScript, and HTML5 for frontend, and NodeJS or Python for middleware components. Design and build RESTful and GraphQL APIs to support seamless and efficient data communication. Integrate robust DevOps workflows, implement CI/CD pipelines, and manage infrastructure as code using tools like Terraform, Ansible, and Jenkins/GitHub Actions. Collaborate with Product, Engineering, UX, and DevOps teams to ensure architectural alignment with business goals. Ensure code quality, performance, and maintainability by adopting modern engineering practices, test-driven development, and peer reviews. Implement best practices for security, scalability, and reliability across applications. Work with cloud platforms (AWS, Azure, or Google Cloud) to design containerized, serverless, or hybrid deployment models. Continuously explore and propose adoption of modern technologies such as Generative AI to enhance user experience and productivity. (Optional but desirable) Provide architectural support or integration guidance for mobile app development (iOS/Android). Required Skills and Qualifications: 10+ years of experience in software development and architecture roles. Expert in backend technologies like Java, Spring Boot, NodeJS, and Python. Advanced proficiency in frontend frameworks such as ReactJS, Angular, and core JavaScript/HTML5/CSS. Deep knowledge of API design using REST and GraphQL. Hands-on experience with CI/CD tools, DevOps practices, and version control systems like Git (GitHub/GitLab). Strong understanding of cloud computing and deployment models on AWS, Azure, or GCP. Skilled in implementing and managing infrastructure with Terraform, Ansible, or similar tools. Excellent problem-solving, communication, and team collaboration skills. Security-conscious mindset with knowledge of OWASP principles and secure coding practices. Preferred Qualifications: Experience with AI/ML models, especially Generative AI, is a strong plus. Exposure to mobile app development ecosystems (React Native, Swift, Kotlin) is an added advantage. Prior experience leading technology teams or mentoring developers is a plus.