7757 Machine Learning Jobs - Page 32

locationsPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0004722 Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

Work Location: Chennai/ Bangalore Shift: General Shift Mandatory Skills: Gen AI, LLM, RAG, Lang chain, Llama, AI/ML, Deep Learning, Python, Tensorflow, Pytorch, Pandas, Prompt Engineering, Vector DB, MLOps Preferred Skills: AWS or GCP or Azure Cloud, GPT-4, SQL, Fast API/ API Development, Docker/ Kubernetes, Hadoop, Spark or Apache Flink Data Pipeline, Banking exposure. Job Description / Roles & Responsibilities (in Detail) : Educational Background: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Programming Languages: Proficiency in Python, R, API development - Python/Fast API. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras etc. Gen AI & RAG: Experinced in GEN AI Models, Langchain/Langflow and Prompt Engineering Machine Learning: Strong understanding of machine learning algorithms, Deep Learning / Neural networks & Transfer Learning, Data Science: Experience with data analysis, data visualization, and statistical modeling. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink or similar Data pipelines. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions if good to have. Awareness on applied statistics, Experinced in Algorithms, Model development / evaluation and Data Preprocessing Exposure to ML Ops & Awareness of Containerisation with Docker/ Kubernetes Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Key Skills: Machine Learning, Power BI, Python, Tableau Roles and Responsibilities: Translate business risks, controls, and operational processes into analytic requirements and drive the development of effective data solutions and insights Manage multiple audit analytics projects of varying complexity across different business areas and geographies Link analytics to ongoing strategic initiatives, enabling business-aware, forward-looking risk insights Apply advanced algorithms and machine learning models to identify patterns, anomalies, and predictive trends across structured and unstructured data Write, debug, and deploy machine learning code using tools such as Python, PySpark, Apache Spark Prototype and simulate use cases to evaluate effectiveness of analytical models Leverage visualization tools (e.g., Tableau, Power BI) to communicate insights and tell compelling data-driven stories Collaborate closely with audit managers, stakeholders, and technical teams to ensure analytics are relevant and actionable Contribute to ongoing R&D efforts to evaluate and adopt cutting-edge analytics methodologies and technologies Provide subject matter expertise to upskill team members and support knowledge sharing Skills Required: 3-4+ years of experience in data analytics or machine learning in a corporate environment Strong technical proficiency in Python (pandas, numpy, scikit-learn, nltk, etc.) and SQL/HiveQL Experience with big data environments and tools (e.g., Apache Spark, PySpark) Proficiency with data visualization tools such as Tableau and Power BI Hands-on experience with advanced analytics techniques including machine learning, forecasting, clustering, and pattern recognition Ability to interpret complex data, generate insights, and drive business outcomes Exceptional storytelling, data presentation, and visualization skills Strong problem-solving skills with an analytical mindset and attention to detail Familiarity with financial services processes, customer behavior analytics, and related regulatory frameworks is highly preferred Excellent communication skills (written and verbal), with the ability to lead cross-functional initiatives Demonstrated ability to manage multiple projects in a fast-paced environment Education: Master's degree in Analytics, Statistics, Operations Research, Computer Science, Engineering, or a related field

i m looking for data science & artificial intelligence trainer. well educated, minimum 2 years experienced trainer. its a freelancing job. flexible time. Job Type: Full-time Pay: ₹20,000.00 per month Schedule: Day shift Work Location: In person Expected Start Date: 26/06/2025

Job description Greetings from Global Healthcare Billing Partners Pvt. Ltd.!!! Hiring for Experienced Python Developer @ Velachery Location. JOB DETAILS : Experience : Minimum of 2 years of relevant experience in Python Developer. Work Mode : Hybrid Salary : Best in Market Key Responsibilities: Develop and maintain Python applications. Build web applications using Django or Flask. Automate workflows using Python scripts. Manipulate and analyze data using Pandas and NumPy. Develop machine learning models using libraries like TensorFlow or Scikit-Learn. Required Skills: Proficiency in Core Python . Experience in Web Development (Django/Flask). Knowledge of Automation and scripting. Strong understanding of Data Manipulation . Familiarity with Machine Learning concepts and tools. Interested candidate contact 8925808597 - Kayal HR Drop CV - career.chennai@ghcbp.com Regards Kayal HR Global HR Team

Role Summary: The AI Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models. Essential Responsibilities: Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives. Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform). Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements. Serve as a primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives. Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases. Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines. Assume the role of an engagement coordinator between the Thryve India team and US counterparts (techno-functional). Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. Proactively track delivery statuses and project progress, taking ownership of all deliverables from Thryve. Communicate effectively with team members, US stakeholders, and management. Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies. Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features. Required Skills and Qualifications: Bachelor's degree in engineering, computer science, or a related field. 12 to 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives. Good understanding of US Health insurance with at least 2+ years of experience in the same. Experience and understanding of the entire MLOps pipeline, from data ingestion to production. Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps. Proven ability to take successful, complex ideas from experimentation to production. Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform. Excellent communication, presentation, and interpersonal skills. Proven experience in leading, motivating & inspiring teams to foster collaboration. Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders. Experience in implementing process improvements and learning from past projects to enhance future performance. Ability to analyze external and internal processes and create strategies for service delivery optimization. Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations. Experience In handling team & managing multiple stakeholders.

Understand the full development lifecycle delivering user-centred digital solutions Design, implement, and maintain test plans for new and existing projects Candidate should have done the software Integration Design, implement and develop new project Required Candidate profile Minimum 3 years experience in software integration Logistics domain will add value Strong working knowledge of: React, Tailwind CSS, Next.js, PostgreSQL Git workflows, RESTful APIs, CI/CD pipelines

We are seeking a skilled and motivated individual to join our team. The ideal candidate will have experience working with Microsoft CoPilot Studio and Azure Communication Framework, with a passion for building scalable and reliable solutions. Key Responsibilities Design, develop, and implement custom applications using CoPilot Studio, ensuring alignment with business requirements. Integrate and maintain communication tools and services utilizing the Azure Communication Framework. Collaborate with product owners and technical leads to design effective workflows and solutions. Develop, test, and deploy end-to-end solutions, ensuring scalability, reliability, and maintainability. Troubleshoot, debug, and optimize applications for maximum performance and functionality. Conduct code reviews and follow best practices for code quality, version control, and testing. Stay updated with the latest trends and developments in Microsoft CoPilot, Azure technologies, and other relevant tools to enhance solutions.

We are seeking a talented Software Engineer I with a strong background in Java development. This is an exciting opportunity for individuals with 2+ years of experience who are passionate about writing clean, efficient, and scalable code. As a Software Engineer I at Tekion, you will be working on impactful products that help transform the automotive industry. Responsibilities : Design, develop, and maintain Java-based applications and services. Write we'll-tested, maintainable code with a focus on scalability and performance. Collaborate with cross-functional teams to define software requirements and implement solutions. Assist in troubleshooting and debugging complex issues across multiple systems. Participate in code reviews to ensure the best practices are being followe'd. Work in an Agile environment, contributing to sprint planning, stand-ups, and retrospectives. Continuously learn and stay up to date with new technologies and best practices. Contribute to the design and architecture of new features and product enhancements. Required Skills and Qualifications : Bachelor s degree in Computer Science, Engineering, or related field. 1-3 years of experience in software development, with a focus on Java. Strong proficiency in Java programming, including experience with frameworks Familiarity with relational databases (MySQL, PostgreSQL, etc) and ORM frameworks. Understanding of RESTful APIs and microservices architecture. Experience with version control systems like Git. Strong problem-solving skills and the ability to debug complex issues. Excellent communication and collaboration skills. Preferred Skills : Familiarity with containerization technologies such as Docker and Kubernetes. Knowledge of cloud platforms (AWS, GCP, Azure). Experience with testing frameworks (unit testing, integration testing). Familiarity with CI/CD pipelines and automation tools.

The incumbent would be part of the Commercial Data Science & Model Integration team reporting into the Manager - Commercial Collections and Credit Data Science, key responsibilities include, but are not limited to: Support the Commercial Collections and Credit Data science practices to drive model usage and tackle business opportunities through model enhancements Innovate modeling techniques and variable creation Incorporate new data intelligence from consumer, commercial bureau & internal datasets into commercial credit risk models Conduct AI/ML research to explore opportunities in order to elevate model excellence and drive business impact Review customer cases to identify new model/variable opportunities Minimum Qualifications 0-2 years of experience in Analytics, Data Science, Machine Learning or related fields Post Graduate Degree in Statistics / Mathematics / Economics / Engineering/Management from Top Tier Institutes Functional Skills/Capabilities Proficiency & experience in econometric, statistical, analytical and ML techniques Proficiency in ML languages (Python; PySpark) and SQL/Hive Ability to drive project deliverables to achieve business results Ability to work effectively in a team environment Strong communication and interpersonal skills Ability to learn quickly and work independently with complex, unstructured initiative We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a B2B content writer to join our team. You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, can meet deadlines, and consistently delivers high-quality work while adapting to client requirements and expectations. Please submit at least two writing samples so that we can get a feel of your writing style and approach. You must have: Excellent writing skills Native-level English (or C1 minimum) 2+ years of experience writing B2B content Technical writing experience preferred Good research skills An ability to understand complex terminology Experience writing for different industries and clients (preferred) Great attention to detail If you are: Passionate about writing Creative Interested in tech Eager to learn An independent worker Highly organized Agile and proactive Solutions-oriented A team player We'd like to hear from you!

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Architect – SAP AI Core/ Generative AI Hub Meet Our Team SAP AI Core Product Engineering Team is part of the SAP Business AI unit and one of the key drivers of the Intelligent Enterprise. SAP's vision is to "bring out the best in every business" and to become the "#1 enterprise application and business AI company" by " infusing business AI across the SAP product portfolio”. Our vision for AI Core is to provide a hub that offers a seamless end-to-end journey for product engineering teams in SAP and our ecosystem accelerating time to market value for AI developments. We are responsible for foundational products such as SAP Generative AI Hub, AI Core and AI Launchpad that help application AI Developers infuse AI capabilities in their existing products and as new AI-first product faster. Our teams are located in Germany, Singapore, and India, exemplifying an innovative, start-up-like work environment. What You'll Do As an Architect , you will lead the technical design and architecture of AI Core, ensuring that systems are robust, scalable, and efficient. Provide technical leadership and guidance to development teams, ensuring adherence to architectural best practices and product standards. Author clear technical documentation and presentations in collaboration with product engineers and architects to communicate architecture and design options to educate engineering teams and product managers. You will have a great opportunity to learn and work on emerging technologies, solving high impact real-world problems at the intersection of Cloud, DevOps, and Artificial Intelligence which is a strategic priority for SAP. Your tasks will include: Architect and Design AI Core Features : Lead the end-to-end architecture of AI solutions and platforms, ensuring scalability, security, and high performance. Drive Innovation : Lead the evaluation, design, and integration of cutting-edge AI technologies, with a focus on generative AI, machine learning, and cloud-native architectures Collaborate Across Teams : Work closely with cross-functional teams including developers, DevOps engineers, and AI researchers to create a unified technical vision and drive high-impact projects. Optimize System Performance : Ensure that systems are optimized for large-scale data processing, AI workloads, and high availability. Mentor and Inspire Teams : Provide technical leadership, mentoring junior engineers, and driving best practices for software architecture and full stack development. Strategize Future Growth : Work with Product Leaders and management to align technical strategies with business goals, identifying expansion opportunities Oversee Quality and Security : Ensure that systems meet the highest standards for security, performance, and scalability. Lead code reviews, architecture audits, and system evaluations. Explore, understand, and implement most recent technologies and approaches for enhancing the value and adoption of AICore. What You Bring Degree in Computer Science, Engineering, or related fields. Master’s degree preferred 10+ years of experience in software development and architecture, with a focus on cloud-based AI solutions. Sound experience leading teams and architecting complex systems with real-world AI applications. Strong expertise in cloud-native platforms (AWS, Azure, GCP) and AI technologies. Hands-on experience with containerization (Docker, Kubernetes), microservices, and SAP Business Technology Platform. Proficiency in programming languages such as Python, Go, or JavaScript Deep understanding of DevOps practices, including CI/CD, automation, and orchestration tools like Jenkins, Helm, Istio, and Argo Foundation in AI and machine learning model integration, particularly generative AI, and large language models (LLMs) Proven track record in technical leadership, mentoring, and collaboration across global, distributed teams. Ability to tackle complex architectural problems and deliver innovative solutions under tight deadlines. Nice to have Experience in developing AI tools or frameworks, especially in enterprise contexts. Exposure to Generative AI and build SAP Embedded AI solutions Knowledge of AI ethics and data privacy in AI deployments We are looking for passionate architects eager to leverage their cloud application development and technical leadership experience to make a transformative impact in the strategically vital Business AI universe. Join us in shaping the future of AI-driven enterprise solutions Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected] For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 430077 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Max Life Insurance Company Limited is looking for Deputy Manager - Business Performance Management & Analytics to join our dynamic team and embark on a rewarding career journey Assist the Manager in the day-to-day operations of the business, including setting goals, developing strategies, and overseeing the work of team members Take on leadership responsibilities as needed, including managing team members and making decisions in the absence of the Manager Identify and address problems or challenges within the business, and develop and implement solutions Collaborate with other departments and teams to ensure smooth and efficient operations Maintain accurate records and documentation Contribute to the development and implementation of business plans and goals

As Product Designer II, you'll design high-impact, intuitive, and scalable experiences for real-world problems in a highly collaborative environment. you'll balance strong systems thinking with executional craft, shaping end-to-end experiences across multiple user journeys, modules, and touchpoints. This role is perfect for a mid-level designer stepping into greater ownership of product and design decisions while influencing product direction through thoughtful, user-centered solutions. Key Responsibilities: Systems Thinking + Strategic Execution: 1. Apply systems thinking to design scalable, modular, and reusable solutions that align with the product architecture. 2. Identify patterns and unify experiences across workflows, reducing redundancy and ensuring platform-wide cohesion. 3. Understand and influence how your work fits into the broader product strategy and business objectives. UX Design Ownership: 1. Own the design process end-to-end: from discovery and research to interaction flows, wireframes, prototypes, and high-fidelity UI. 2. Translate complex workflows and technical constraints into elegant,usable experiences for web and mobile platforms. 3. Balance data-informed decisions with intuition and creative experimentation. Design Systems & Collaboration: 1. Use Tekion s design system thoughtfully and contribute to its evolution by identifying gaps or proposing enhancements. 2. Collaborate closely with engineers, product managers, researchers, and other designers to ensure alignment and delivery quality.Cross-Functional Influence 3. Facilitate collaborative problem-solving using workshops, critiques, and user interviews. 4. Communicate your design decisions effectively to a variety of audiences and adapt your storytelling as needed. 5. Work comfortably in fast-paced environments with shifting priorities.User & Data Focus 6. Advocate for user needs across the product development lifecycle,making tradeoffs based on behavioral analytics, qualitative feedback,and business priorities. 7. Partner with UX research to validate concepts and improve product usability continuously. Skills and Experience 1. 3+ years of experience in end-to-end product design (preferably in B2B or platform-based environments). 2. A portfolio showcasing user-centered, systems-informed design solutions with measurable outcomes. 3. Mastery in Figma and understanding of design system principles, UI patterns, auto-layout, components, and tokens. 4. Experience working across web, iOS, and Android platforms. 5. A clear grasp of product thinking, user psychology, and agile team dynamics. 6. Strong communication and storytelling skills you articulate decisions and rationale confidently across disciplines. 7. Proven ability to navigate ambiguity and proactively clarify problems through a mix of research, collaboration, and iteration. Preferred Skills: 1. Familiarity with the automotive, logistics, or enterprise tech domains. 2. Exposure to data visualization, automation workflows, or messaging platforms. 3. Comfort with cross-touchpoint experiences blending physical and digital interactions. 4. Experience mentoring junior designers or participating in design hiring/interview processes. What We Offer: 1. A world-class team of 75+ designers, working on real industry transformation at scale. 2. A learning-first environment with budgets for conferences, courses, and mentorship. 3. Competitive salary, equity options, and comprehensive medical benefits. 4. Opportunities to grow into Senior Product Designer and beyond through we'll-defined competencies and mentorship. Growth Path: Toward Senior Product Designer: This role sets you up for elevation to Senior Product Designer. you'll be expected to: - Lead with increasing clarity and autonomy. - Solve more complex and strategic problem spaces. - Mentor peers and collaborate across functions at a higher influence level. - Continuously raise the quality bar in craft, process, and systems design. Perks and Benefits: Competitive compensation Generous stock options Medical insurance coverage Work with some of the brightest minds from Silicon Valley s most dominant and successful Companies

Our team is looking for a Machine Learning Engineer to join our Machine Learning Engineering team in Gurgaon. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the traveler journey and experience. We believe in being Different. We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and sameness is dangerous. Expedia is committed to crafting an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Experience: 4+ years for Bachelors 2+ years for Masters What you'll Do: Work in a cross-functional team of Machine Learning engineers and ML Scientists to design and code large scale batch and real-time data pipelines on the AWS. Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Communicate and work effectively with geographically distributed cross functional teams Participate in code reviews to assess overall code quality and flexibility Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure Define, develop and maintain artifacts like technical design or partner documentation Drive for continuous improvement in software and development process within an agile development team Participate in user story creation in collaboration with the team Support and troubleshoot data and/or system issues as needed Who You Are: Degree in software engineering, computer science, informatics or a similar field. Developed software in a team environment of at least 5 engineers (agile, version control, etc). Built and maintained a software project/product in production environments in public/hybrid cloud infrastructure. Comfortable programming in Python and Scala. Hands-on experience with OOAD, design patterns, SQL and NoSQL. Knowledgeable in big data technologies, in particular Spark, Hive, Hue, Qubole and Databricks. Experience in crafting real-time streaming applications, preferably in Spark streaming, and Kafka/KStreams. Must-have experience: solid experience working on Big Data, good understanding of ML pipelines and ML lifecycle, Batch processing and Inferencing applications, PySpark, SQL Experience of using cloud services (eg AWS). Experience with workflow orchestration tools (eg Airflow). Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning. Experience working with Agile/Scrum methodologies. Good-to-have experience: in real-time / live processing and inferencing applications

Zeta Global is looking for an experienced ML Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organization. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning best-practices and industry standards. Be able to design and execute experiments to measure the impact of new features and machine learning models on business outcomes. Empower the product and engineering teams to make data-driven decisions. What you need to succeed 4-6 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelor s degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred. Solid experience with ML infrastructure including model deployment, evaluation, data processing, and debugging with a track record of building scalable ML solutions from business requirements. Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API. Hands-on experience with LLMs like GPT or Claude is highly desirable. Strong background in building, deploying, and integrating AI agents using LLMs is a big plus. Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment. Committed to high code quality, with an emphasis on thorough code reviews and testing. Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders

Education Required: Bachelors / Masters / PhD: Bachelor s or master s in computer science, Statistics, Mathematics, Data Science, Engineering Must have skills: visualization tools such as Power BI, Tableau, or Looker, ETL, Azure data factory, SQL Stored procedure, performance tuning Good to have skills: statistical modeling, predictive analytics, or machine learning Expectation : We are seeking a detail-oriented and analytical experienced Data Engineer. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets across various data sources to drive business decisions and strategy. This role requires strong technical skills, a passion for data, and the ability to communicate actionable insights through reporting. Collect, clean, and validate data from various sources to ensure accuracy and consistency. Analyze large datasets to identify trends, patterns, and actionable insights that support business objectives. Develop and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker. Collaborate with stakeholders to understand business needs and translate them into data-driven solutions. Present findings, insights, and recommendations to both technical and non-technical audiences in a clear and concise manner. Monitor key performance indicators (KPIs) and provide regular updates to business units. Support data governance and data quality initiatives to enhance overall data integrity. Preferred Skills: Experience in statistical modeling, predictive analytics, or machine learning. Familiarity with cloud-based data platforms (eg, Azure). Ability to work in a fast-paced environment and manage multiple priorities

This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. 3+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 3+ years of experience in IVR application development, including Nuance grammar development. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Bachelor s degree in a technology-related field or equivalent professional experience. Nice to have: Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Experience with Genesys Composer We offer: Culture of Relentless Performance : join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits : enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture : make the most of the flexibility that comes with remote work. Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact : collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment : be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values : join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

Build the foundational AI products that will define the landscape of enterprise AI. Own and influence the roadmap for the Agentic AI tools for ServiceNow Manage the entire product lifecycle for AI-based products, from ideation to launch, while defining strategies and executing product plans. Collaborate with data scientists, machine learning engineers, and UX teams to develop AI and LLM capabilities at the platform level, enhancing offerings on the ServiceNow platform. Partner with cross-functional teams, including sales, marketing, and customer success, to ensure product-market fit and drive user adoption through deep customer engagement. Establish and Track metrics to measure the success and impact of AI products Stay at the forefront of Generative AI and Agentic AI technologies ensuring that our products remain competitive and differentiated in the enterprise software space. To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry. Experience in Leading, growing, building, managing, and scaling world-class enterprise SaaS products as Product Manager Minimum 8+ years of Product Management experience and 10+ years of overall experience At least 2+ years of experience in building or Exposure to Products, Platforms & Technologies used in the AI/ML development cycle Should have worked on at least one end-to-end AI/ML Solution as a Product Manager, Data Scientist, UX Designer or ML Engineer Strong technical communication skills to drive and deliver AI Products for AI Builders Nice to Have Experience in delivering user experience improvements with Generative AI Exposure to AI Research and LLMOPs ecosystem Bachelors degree in computer science or related field MBA from the Tier-1 Institutes

Responsibilities : Build and deploy GenAI applications using LLMs, prompt engineering, and RAG frameworks. Hands-on with prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Utilize AI tools to analyze complex legacy systems, identify business logic, dependencies, and potential risks associated with migration. Integrate APIs like OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for prompt handling, embeddings, vector search, etc. Collaborate with designers, BAs, and QA teams to iterate on MVPs and features. Optimize performance, prompt quality, and latency in GenAI pipelines. Requirements : Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and tools. Role & responsibilities

5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development

Product Management - Product Manager - First Games : Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: Our team thrives on collaboration, innovation, and a passion for excellence. We believe in open communication, continuous learning, and supporting each other to achieve our goals. The team consists of marketing strategists, content creators, social media experts, and data analysts. Join our team, where creativity meets strategy to drive our brand forward and engage our audience. About the role: We are seeking an Associate Product Manager who is passionate about solving complex problems and driving innovation in the gaming industry. This role requires a strong blend of analytical skills, strategic thinking, and effective communication. A deep understanding of AI tools and chatbots is a significant advantage. Key Responsibilities: Problem Identification & PrioritizationUtilize data-driven insights and customer feedback to identify critical pain points and prioritize solutions that deliver maximum impact. Customer EmpathyDevelop a deep understanding of user needs through qualitative and quantitative research methods, such as user interviews, surveys, and analytics. Solution DiscoveryCollaborate with cross-functional teams to ideate, prototype, and validate innovative solutions, leveraging AI and chatbot technologies where appropriate. Product DeliveryDefine clear product requirements, and work closely with engineering, design, and business teams to ensure timely and high-quality product launches. Go-to-Market StrategyDevelop and execute effective go-to-market strategies, including marketing plans, pricing strategies, and launch campaigns. Product Adoption & PerformanceTrack key product metrics, analyze user behavior, and implement strategies to optimize user experience and drive adoption. Qualifications: 2-3 years of product management experience in a fast-paced startup environment Strong analytical skills and a data-driven approach to decision-making Excellent communication and interpersonal skills to effectively collaborate with diverse teams Passion for gaming and a deep understanding of the gaming industry Familiarity with AI technologies and their application in enhancing user experience. Ability to thrive in a dynamic and ambiguous environment Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals If you are a highly motivated individual with a passion for innovation and a knack for solving complex problems, we encourage you to apply.

Date 20 Jun 2025 Location: Bangalore, IN Company Alstom Req ID:488977 Purpose of the Job Alstom has deployed a standardized set of applications and processes globally to harmonize operations and ensure consistency across all regions. To maximize the value of these Core Model tools at every site, a dedicated teamSolution Adoptionwas established. The Solution Adoption team is responsible for designing and implementing a structured methodology, supported by governance frameworks and metrics. This approach enables objective measurement of solution and process adoption, and facilitates the definition of targeted improvement action plans. These plans are developed collaboratively and monitored closely with site, regional, and central stakeholders to ensure sustained impact and alignment. The Solution Adoption Analyst is part of the IS&T team and ensures the effective application of the methodology across initiatives and stakeholders. Key Responsibilities & Accountabilities Planning Organize activities with a focus on capacity management, deadlines, deliverables and stakeholders commitment. Follow-Up Ensure that participants frequently update actions plans with consistent and relevant information Reporting Report in a timely manner (specific governance) status by following standards Escalation Escalate difficulties when needed to address challenges promptly. Quality Ensure that the good quality of deliverable Process Ensure that the Process are followed Communication Communicate effectively with stakeholders, with a particular focus on end-user needs and feedback. A proactive mindset is essential across all responsibilities, with a strong emphasis on ownership, continuous improvement, and cross-functional collaboration. Education & Experiences Engineering degree (preferably in IT) Fluent in English 5+ years of experience in Project management or IS&T management Supporting and coordinating IS&T business processes Key Skills & Competencies Excellent communication and leadership Strong change management capabilities Confident delivering progress updates through clear, impactful PowerPoint presentations Creating and tracking action plans Anticipating next steps and potential issues Works autonomously in international settings Optional SAP ECC, Celonis, Power BI expertise will be a plus. You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Position Summary : The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating enthusiasm for learning and contributing to project success. Mandatory Skills & Experience : - A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Foundational experience in software development, with exposure to AI/ML technologies. - Proficiency in GenAI frameworks : Experienced in using GenAI frameworks and libraries such as OpenAI API. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Experience developing solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Strong verbal and written communication skills (English). - Positive and solution-oriented mindset. - Experience delivering Agile and Scrum projects in a Jira-based project management environment. Desired Skills & Experience : - Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. - Knowledgeable about vector databases, LLMs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g, Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : - At least one recognized cloud professional / developer certification (AWS/Google/Microsoft). Key Responsibilities : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g, Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery : - Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. - Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. - Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. - Refactor existing solutions to implement a microservices-based architecture. Client Relationships : - Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. - Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. - Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery.

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 5+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Others: Education Degree or above in Information Technology, Computer Science or equivalent Excellent verbal and written communications skills Good knowledge of release process and control procedures. Strong experience in dealing with geographically diverse teams globally Nice to have Python, Machine Learning, Artificial Intelligence, Investment Banking Other Languages EnglishC2 Proficient Seniority Senior