9518 Machine Learning Jobs - Page 29

Senior Fullstack Generative AI Engineer Job Description You re not the person who will settle for just any role. Neither are we. Because we re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you ll help us deliver better care for billions of people around the world. It starts with YOU. In this role, you will: Senior Fullstack Generative AI Engineer to architect, build, and lead the development of cutting-edge GenAI solutions that solve real-world business problems at scale. This role is ideal for a hands-on AI leader who brings deep expertise in large language models (LLMs), generative models (GANs, VAEs, diffusion models), AI Agents and LLMOps, with a passion for building scalable, responsible, and high-performing Generative AI applications. As a senior technical leader, you will drive the strategy, design, and deployment of GenAI systems, mentor junior engineers, and collaborate with product, data, and platform teams to bring GenAI capabilities into production environments. Lead the architecture and development of scalable GenAI solutions including LLMs, multimodal models, retrieval-augmented generation (RAG) systems and AI Agents. Evaluate and select appropriate foundation models (open-source or commercial) based on business needs and constraints Fine-tune and optimize large language models (LLMs) using techniques like prompt engineering, LoRA, PEFT, reinforcement learning (RLHF), and transfer learning. Drive innovation through experimentation with GANs, VAEs, diffusion models, and transformer-based architectures. Implement robust LLMOps practices for model lifecycle management, versioning, evaluation, and rollback strategies. Lead model deployment using cloud-native tools (Azure [preferred], AWS, GCP) and MLOps platforms (e.g Databricks) Develop and Enhance features for AI observability including hallucination detection, prompt drift monitoring, and output explainability etc. Champion responsible AI practices, ensuring compliance with privacy, security, and fairness standards. Act as a technical mentor and thought leader within the AI/ML engineering team. Work closely with business and product stakeholders to translate ambiguous problems into AI-driven solutions Stay abreast of the latest advancements in GenAI, LLMs, and deep learning research. Publish internal research, prototype new capabilities, and drive knowledge sharing across teams About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. In one of our technical roles, you ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: Key Qualifications and Experiences: Bachelor s or master s degree in computer science, Engineering, or a related field. 6+ years of experience in machine learning, deep learning, or NLP, with 2+ years in GenAI/LLM development. Proficient in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph etc. Strong experience in training and/or fine-tuning foundation models and integrating them into production pipelines. Proven experience in designing and deploying scalable APIs and microservices using FastAPI or Flask. Familiarity with vector databases (FAISS, Pinecone, Weaviate), embeddings, and semantic search. Hands-on experience with CI/CD, containerization (Docker/Kubernetes), and cloud-based AI infrastructure (Azure [preferred], AWS, or GCP). Deep understanding of prompt engineering, model evaluation, observability, and responsible AI. Preferred Qualifications: Experience with large-scale data processing and distributed computing. Experience with reinforcement learning and/or unsupervised learning. Experience with natural language generation and/or image generation. Experience with containerization technologies such as Docker and Kubernetes. Experience leading technical teams or AI initiatives end-to-end. Exposure to multimodal GenAI (e.g., image, audio, and video generation). Familiarity with enterprise-grade data governance and AI risk frameworks. Contributions to open-source GenAI/ML projects or research publications. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website . And finally, the fine print . Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. #LI-Hybrid Primary Location IT Centre Bengaluru GDTC Additional Locations Worker Type Employee Worker Sub-Type Regular Time Type Full time

Role: Senior Staff Data Scientist - AI Architect Experience Required: 8-12 years Location: Bangalore | Karnataka Way of Working: Hybrid and Bangalore About Swiggy and the Team Swiggy is Indias leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The AI team works at the intersection of machine learning, advanced architecture, and applied research to shape AI-first systems that directly impact customer experience and business growth. The team values cross-functional collaboration, open sharing of ideas, and innovation to roll out AI solutions at scale. Bring your expertise in building scalable AI architectures and leading next-generation Generative AI and Agentic AI initiatives, and join a motivated team making a tangible business impact. About the Role As an AI Architect, you will lead the design and implementation of cutting-edge AI architectures, focusing on Large Language Models (LLMs), Generative AI applications, and Agentic AI platforms. This role demands system design expertise for AI-native products, hands-on experience with real-world GenAI deployment, and a clear understanding of trade-offs while architecting scalable solutions for production environments. As an AI Architect, you will be a pivotal leader in designing and implementing the next generation of AI-first systems at Swiggy. You will act as both a hands-on engineer and a strategic thinker working with multi-agent systems, defining operational workflows, and ensuring the alignment of AI capabilities with Swiggys business vision and customer needs. This role demands a unique blend of deep technical expertise in advanced AI concepts (especially Large Language Models, Generative AI, and Agentic AI) and strong architectural acumen to build scalable, high-performance, and cost-effective AI solutions. You will be instrumental in shaping our AI strategy, driving innovation, and ensuring the successful delivery of impactful AI products that directly influence customer experience and business metrics. We foster an environment of open sharing of ideas and encourage contributions to both internal and external forums. What qualities are we looking for? Technical Expertise: Overall 8-10 years of experience in AI and ML engineering field with 2-3 years of hands-on experience with Large Language Models (LLMs), Generative AI applications, and Agentic AI architectures (e.g., multi-agent workflows, copilots, autonomous agents). Proven track record of architecting AI-first systems (e.g., conversational agents, copilots). Strong system design skills with experience in designing scalable, low-latency AI-powered platforms. Familiarity with orchestration tools/technologies like LangGraph, CrewAI, AutoGen, and distributed multi-agent system architectures. Deep understanding of the trade-offs between open-source vs proprietary AI models and related tools. Experience building or integrating components such as Ontology Layers, Graph Knowledge Bases, and feedback loops into AI systems. Strategic Thinking: Expertise in evaluating build-vs-buy options and supporting recommendations with logical explanations. Ability to identify scalability, latency, and inference-cost bottlenecks and devise architecture solutions. Updated knowledge and insights on the latest tools, frameworks, and trends in AI and multi-agent ecosystems. Product Knowledge: Strong curiosity and empathy for end-user personas. Demonstrates end-to-end product thinking beyond model performance. Ability to connect AI capabilities with business KPIs while ensuring ROI on AI investments. Experience working closely with Product Managers to identify workflows and bottlenecks, collaboratively defining roadmaps. Communication and Leadership: Demonstrates the ability to act as a thought partner to product managers and stakeholders. Exceptional written and verbal communication skills to align cross-functional teams on objectives, deliverables, and methodologies. Thrives in a fast-paced environment with a "Founder Mentality" to move fast, break barriers, and deliver results. Entrepreneurial stint or experience with startups building AI products R&D experience with language models What will you get to do here? Architect AI-first systems with a focus on multi-agent systems, LLMs, Generative AI, and Agentic AI workflows. Define and build scalable and efficient AI architectures with low latency at production scale. Design orchestration mechanisms like Ontology Layers and incorporate feedback loops for enriching system capabilities. Stay updated on emerging AI frameworks, tools, and technologies, applying learnings to both technological and business problem statements. Evaluate and benchmark open-source and proprietary AI frameworks based on cost, scalability, and suitability. Collaborate with engineering, product, data scientists, analysts and business stakeholders to define workflows, address bottlenecks, and create product roadmaps. Provide recommendations on AI investments with a critical eye on ROI and business impact. Present your work in internal and external forums, thought-leadership events, and research publications. Why Join Swiggy? Opportunity to work on impactful and challenging projects in the AI domain. Chance to architect innovative solutions at scale, directly impacting millions of users. Collaborative work culture fostering learning, growth, and innovation. Ready to Shape the Future with AI? Apply now! Visit our tech blogs to learn more about some of the challenges we deal with: The Swiggy Delivery Challenge Part One How AI at Swiggy is Transforming Convenience Decoding Food Intelligence at Swiggy We believe in promoting equal opportunities and diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, or disability.

Senior Generative AI Developer 7+YRS PUNE/HYDERABAD/BANGALORE Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us. Job Title: Senior Generative AI Developer Years of Experience : 7+ Years Position Overview: Zensar Technologies is seeking a highly skilled Senior Generative AI Developer with deep knowledge of Generative AI principles and expertise in Multi-Cloud Platforms (MCP), Agent-to-Agent (A2A) integrations, and related Google technologies. In this role, you will be responsible for developing and implementing cutting-edge AI solutions that meet the evolving needs of our clients. Key Responsibilities: Design, develop, and implement generative AI models and applications that leverage MCP and A2A frameworks. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for AI solutions. Optimize and fine-tune AI models for performance, scalability, and reliability. Integrate Google technologies and tools to enhance AI capabilities, including Google Cloud AI services, BigQuery, and TensorFlow. Conduct research and stay updated on the latest advancements in generative AI and cloud technologies. Collaborate with data scientists and machine learning engineers to ensure seamless integration of AI models into production environments. Develop and maintain documentation for AI solutions, including design specifications, user guides, and technical reports. Provide technical support and troubleshooting for deployed AI applications. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 7+ years of experience in software development, with a focus on AI and cloud technologies. Deep understanding of generative AI concepts, methodologies, and frameworks. Expertise in Multi-Cloud Platforms (MCP) and Agent-to-Agent (A2A) integrations. Proficiency in Google Cloud technologies, including Google AI Platform, BigQuery, and TensorFlow. Strong programming skills in languages such as Python, Java, or Go. Experience with AI model development frameworks and tools. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with data engineering and ETL processes. Knowledge of security best practices in cloud environments. Relevant certifications in cloud technologies or AI. Advantage Zensar We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA. Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth. At Zensar, you Grow, Own, Achieve, Learn. Learn more about our culture: https: / / www.zensar.com / careers / who-we-are Ready to #ExperienceZensar? Begin your application by clicking on the Apply Online button below. Be sure to have your resume handy! If you re having trouble applying, drop a line to careers@zensar.com. Senior Generative AI Developer 7+YRS PUNE/HYDERABAD/BANGALORE Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us. Job Title: Senior Generative AI Developer Years of Experience : 7+ Years Position Overview: Zensar Technologies is seeking a highly skilled Senior Generative AI Developer with deep knowledge of Generative AI principles and expertise in Multi-Cloud Platforms (MCP), Agent-to-Agent (A2A) integrations, and related Google technologies. In this role, you will be responsible for developing and implementing cutting-edge AI solutions that meet the evolving needs of our clients. Key Responsibilities: Design, develop, and implement generative AI models and applications that leverage MCP and A2A frameworks. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for AI solutions. Optimize and fine-tune AI models for performance, scalability, and reliability. Integrate Google technologies and tools to enhance AI capabilities, including Google Cloud AI services, BigQuery, and TensorFlow. Conduct research and stay updated on the latest advancements in generative AI and cloud technologies. Collaborate with data scientists and machine learning engineers to ensure seamless integration of AI models into production environments. Develop and maintain documentation for AI solutions, including design specifications, user guides, and technical reports. Provide technical support and troubleshooting for deployed AI applications. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 7+ years of experience in software development, with a focus on AI and cloud technologies. Deep understanding of generative AI concepts, methodologies, and frameworks. Expertise in Multi-Cloud Platforms (MCP) and Agent-to-Agent (A2A) integrations. Proficiency in Google Cloud technologies, including Google AI Platform, BigQuery, and TensorFlow. Strong programming skills in languages such as Python, Java, or Go. Experience with AI model development frameworks and tools. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with data engineering and ETL processes. Knowledge of security best practices in cloud environments. Relevant certifications in cloud technologies or AI. Advantage Zensar We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA. Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth. At Zensar, you Grow, Own, Achieve, Learn. Learn more about our culture: https: / / www.zensar.com / careers / who-we-are Ready to #ExperienceZensar? Begin your application by clicking on the Apply Online button below. Be sure to have your resume handy! If you re having trouble applying, drop a line to careers@zensar.com.

Overview Agnik, is a global connected car technology company ( www.agnik.com ) operating in 38 countries headquartered in USA with major consumer brands like Vyncs ( https://www.vyncs.com ) and several B2B products. Agnik is looking for several full-time members of its Technical Team for Distributed Data Science and Machine Learning. If you want to join a top notch technical team that develops novel algorithms/systems and very well familiar with statistics, machine learning, image analysis, and distributed systems then send a copy of your complete resume to jobs@agnik.com with a subject line Technical Team Member -- Distributed Data Science & Machine Learning . Responsibilities As an employee of Agnik s Distributed Data Science & Machine Learning Technical team Member, the primary focus of this position would be to design, develop, and implement novel data analysis and machine learning algorithms for connected car and mobility applications. Successful candidates must be knowledgeable and passionate about latest developments in field of machine learning and data science, should be a hands on developer. The position does not require extensive travel. Duties Include Develop real-time and off-line data analysis and machine learning algorithms/systems for embedded systems, mobile platforms, and cloud-based distributed environments. Dealing with big data management problems in real-time applications. Writing and reviewing code using Java/C#/C language for embedded and in-cloud environments for predictive modeling, control, and scene analysis. Developing geo-spatial data management and analysis software. Required Qualifications B.Tech/BS/M.Tech/MS/PhD. from a reputed University in Computer Science, Electrical/Electronic engineering (or other engineering/Science) with relevant experience. 1 5 years of experience in building data analysis, signal processing, and machine learning applications using Java/C/Python language, web-services in dot net environment, relational/non-relational databases, and developing distributed systems. Ability to communicate in fluent English. Effective communications skills and strong interpersonal skills, both orally and in written form. Distributed data management environments such as Hadoop and Spark. Ability to juggle multiple projects simultaneously. Attention to details, ability to prioritize and meet aggressive deadlines. Salary Commensurate with qualifications. Benefits, possible overseas trip.

Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills

Responsibilities Identify and define complex business problems with stakeholders. Apply ML solutions to improve demand and supply systems. Build mathematical models for real-world business processes. Prioritize and solve high-impact issues to cut costs or grow revenue. Publish research and represent the company at industry conferences. Collaborate with engineering teams to deploy scalable ML models. Continuously evaluate model performance and retrain as needed for accuracy. Requirements Strong math foundation: linear algebra, stats, calculus, optimization, etc. Hands-on with supervised ML techniques like SVM, decision trees, neural networks. Solid SQL/NoSQL and database system understanding. Experience with big data tools (e.g., Spark, Hadoop) is a plus. Perks and Benefits Medical Insurance Internet Reimbursement Flexible working hours

Role and Responsibilities Design, develop, implement, and maintain AIML products to solve specific business problems Optimize the existing codes using advanced programming skills Execute AIML POC projects Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes Work on various cloud platforms includes AWS, AZURE and GCP Work on big-data tools (PySpark) Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments Create reports, projections, models, and presentations to support business strategy and tactics Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action Qualifications and Education Requirements Master's Degree (Data Science/statistics/Mathematics/Computer Science) + 8years of experience, or equivalent experience with a Bachelor s degree Proficiency in programming, preferably Python, R, and SQL (PostgreSQL MySQL/) and NoSQL (MongoDB) Experience of Advanced programming in python/R/Spark includes developing multi-threading and Parallel Processing Experience in designing, developing, implementing and deploying ML products Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Demonstrated experience in AI Implementation and ML modeling problems of diverse scope and complexity Experience in Supervised and Unsupervised ML models training, testing and Validations Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks Ability to works under minimal supervision, using independent judgment Experience of working in agile & CICD environment Preferred Skills PhD in Math/Stat/Computer science/Data Science/Engineering Previous experience in IOT industry Experience in leading/ mentoring Experience in Hadoop Experience in Kafka Streaming

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : AAAP (Accenture Advanced Analytics Platform) Minimum 3 year(s) of experience is required Educational Qualification : Graduate Summary: As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with stakeholders to understand business needs and translating them into functional design solutions. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to gather and analyze requirements. - Design and develop applications based on business process requirements. - Implement solutions that align with the overall architecture. - Conduct code reviews and provide technical guidance to team members. - Stay updated on industry trends and best practices to enhance application design. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in SAP ABAP Development for HANA. - This position is based at our Mumbai office. - A Graduate degree is required. Graduate

Proven experience as aBusinessAnalystwith a focus on client engagement and P2P processes. Expertise in GenAIand advancedAI/ML concepts. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Familiarity with Agile methodologies. Primary Skills Artificial Intelligence, Gen AI Business Analyst, FRD, BRD, User Stories BSFI Domain Knowledge Secondary Skills Analytical Thinking Verbal Communication Stakeholder Management

Your role Configuring CJA setups, managing data integrity in Adobe Experience Platform (AEP), and developing actionable insights via dashboards and reports. The candidate will also integrate CJA with other Adobe Experience Cloud solutions and ensure best practices for data governance. Data integration and managementPulling data from various sources and preparing it for analysis within Adobe CJA. Customer journey mappingVisualizing customer interactions across touchpoints to identify key moments and potential pain points. Advanced analyticsUtilizing CJA features like path analysis, cohort analysis, and attribution modeling to understand customer behavior and campaign effectiveness. Dashboard developmentCreating interactive dashboards to present key customer journey insights to stakeholders. Reporting and analysisInterpreting data to generate actionable insights and recommendations for improving customer experience. Your Profile Technical expertiseStrong understanding of Adobe Analytics platform, including CJA features, data models, and analysis techniques. Data analysis skillsProficiency in data manipulation, statistical analysis, and data visualization. Dashboard developmentCreating interactive dashboards to present key customer journey insights to stakeholders. What youll love about working here You can shape yourcareer with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini You are valued for who you are, and you canbring your original self to work . Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internalsports events , yoga challenges, or marathons.At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. About Capgemini Location - Noida,Bengaluru,Chennai,Mumbai,Pune,Hyderabad

We are a fast-growing boutique data engineering firm that empowers enterprises to manage and harness their data landscape efficiently. Leveraging advanced machine learning (ML) methodologies, Job Overview: We are seeking a highly skilled and motivated MLOps Engineer with 3 5 years of experience to join our engineering team. The ideal candidate should possess a strong foundation in DevOps or software engineering principles with practical exposure to machine learning operational workflows. You will be instrumental in operationalizing ML systems, optimizing the deployment lifecycle, and strengthening the integration between data science and engineering teams. Required Skills: Hands-on experience with MLOps platforms such as MLflow and Kubeflow. Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible. Strong familiarity with monitoring and alerting frameworks (Prometheus, Grafana, Datadog, AWS CloudWatch). Solid understanding of microservices architecture, service discovery, and load balancing. Excellent programming skills in Python, with experience in writing modular, testable, and maintainable code. Proficient in Docker and container-based application deployments. Experience with CI/CD tools such as Jenkins or GitLab CI. Basic working knowledge of Kubernetes for container orchestration. Practical experience with cloud-based ML platforms such as AWS SageMaker, Databricks, or Google Vertex AI. Competency in Linux shell scripting and command-line operations. Proficiency with Git and version control best practices. Foundational knowledge of machine learning principles and typical ML workflow patterns. EMB Global | www.emb.global About Us: Good-to-Have Skills: Awareness of security practices specific to ML pipelines, including secure model endpoints and data protection. Experience with scripting languages like Bash or PowerShell for automation tasks. Exposure to database scripting and data integration pipelines. Experience & Qualifications: 3 5+ years of experience in MLOps, Site Reliability Engineering (SRE), or Software Engineering roles. At least 2+ years of hands-on experience working on ML/AI systems in production settings. Deep understanding of cloud-native architectures, containerization, and the end-to-end ML lifecycle. Bachelor s degree in Computer Science, Software Engineering, or a related technical field. Relevant certifications such as AWS Certified DevOps Engineer Professional are a strong plus. Ml Ops, Sre

Data Science (Python + Statistics.) Key Responsibilities Designing and Executing Rigorous Statistical Tests: This responsibility entails the foundational work of ensuring that any observed relationship between variables is not merely due to chance. The specialist will design experiments and tests to establish the likelihood that an outcome is genuinely caused by the factors under study, rather than random variability. Proactive involvement in experimental design is essential, moving beyond mere post-hoc analysis. Performing Hypothesis Testing and Statistical Inference: The specialist will be responsible for defining and testing null and alternative hypotheses to determine statistical significance. Applying Advanced Statistical Methods for Data and Model Analysis: This encompasses a broad range of techniques vital for deeply analyzing datasets and model outputs. These include probability theory, which quantifies uncertainty and aids in prediction. Various sampling methods (e.g., random, stratified, cluster) are crucial for selecting representative subsets of data, allowing for reliable inferences about larger populations. Evaluating and Recommending Appropriate ML Algorithms: The specialist will assess the suitability of various ML algorithms, including supervised learning tasks like classification, regression, and forecasting, as well as unsupervised learning methods such as clustering and dimensionality reduction, and reinforcement learning. Conducting In-depth Analysis of Algorithmic Soundness and Applicability: This involves scrutinizing the theoretical underpinnings of selected algorithms, their assumptions, and their appropriateness for the specific problem and dataset. Assessing Model Performance Metrics: The specialist will evaluate models based on a variety of metrics relevant to the task. For classification tasks, this includes accuracy, precision, recall, and F1- score; for regression, metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) are used. Required Qualifications Masters in a quantitative field such as Computer Science, Data Science, Engineering Statistics, Mathematics, or Machine Learning. Experience Minimum of 5+ years of progressive experience in machine learning validation, model risk management, data science, or a closely related role with a strong focus on statistical rigor and algorithmic assessment. Proven track record in successfully validating and deploying AI/ML-based solutions to solve complex business Experience with SQL for querying and managing databases. Familiarity with C++ and/or Java for performance-critical applications or integration. The ability to work across different parts of the ML stack, from data querying to model deployment and potentially low-level optimization. Machine Learning Frameworks & Tools: Experience with common ML frameworks such as TensorFlow and PyTorch. Data Analysis & Statistical Tools: Proficiency in data analysis and statistical tools, including Python/R libraries like NumPy, SciPy, Pandas, Matplotlib, and Seaborn. Data Visualization Tools: Experience with data visualization software like Looker, Looker Studio to present findings effectively. Deep understanding of machine learning algorithms, their underlying principles, and performance metrics. Strong knowledge of statistical analysis, modeling techniques, and hypothesis testing. Familiarity with advanced statistical modeling techniques such as Bayesian Inference and Variational Inference, and their integration with AI models. The mention of these advanced techniques suggests a need for cutting-edge statistical knowledge that goes beyond traditional frequentist methods. This indicates a role that is expected to contribute to the advancement of validation methodologies, not just their application.

This is a remote position. Key Responsibilities: Design, implement, and optimize data architectures to support large-scale AI and machine learning systems Collaborate with cross-functional teams to define data models, APIs, and integration flows Architect secure, scalable data pipelines for structured and unstructured data Oversee data governance, access controls, and compliance (GDPR, SOC2, etc.) Select appropriate data storage technologies (SQL/NoSQL/data lakes) for various workloads Work with MLOps and DevOps teams to enable real-time data availability and model serving Evaluate and integrate third-party APIs, datasets, and connectors Contribute to system documentation and data architecture diagrams Support AI researchers with high-quality, well-structured data pipelines Requirements Required Qualifications: Bacheloror Masterdegree in Computer Science, Data Engineering, or a related field 5+ years of experience as a Data Architect, Data Engineer, or in a similar role Expertise in designing cloud-based data architectures (AWS, Azure, GCP) Strong knowledge of SQL, NoSQL, and distributed databases (PostgreSQL, MongoDB, Cassandra, etc.) Experience with big data tools like Spark, Kafka, Airflow, or similar Familiarity with data warehousing tools (Redshift, BigQuery, Snowflake) Solid understanding of data privacy, compliance, and governance best practices Preferred Qualifications: Experience working on AI/ML or Gen AI-related products Proficiency in Python or another scripting language used for data processing Exposure to building APIs for data ingestion and consumption Prior experience supporting enterprise-level SaaS products Strong analytical and communication skills Travel & Documentation Requirement: Candidate must hold a valid passport Willingness to travel overseas for 1 week (as part of client collaboration) Having a valid US visa (e.g., B1/B2, H1B, Green Card, etc.) is a strong advantage Benefits Why Join Us: Work on high-impact, cutting-edge Generative AI products Collaborate with some of the best minds in AI, engineering, and product Flexible work culture with global exposure Opportunity to work on deeply technical challenges with real-world impact

ABOUT TIDE At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. ABOUT THE ROLE As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist you ll be: Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked WHAT ARE WE LOOKING FOR You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You ve delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You re organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You re a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don t have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform WHAT YOU WILL GET IN RETURN Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members diverse needs. We are One Team, committed to transparency and ensuring everyone s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tides Recruitment Privacy Notice .

About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect Description: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. We are seeking an experienced Senior / Staff Data Engineer (Agentic AI Engineer) to build and deploy our AI/ML, Gen AI and agentic AI initiatives, with a focus on building pipelines, evaluation, and MLOps/LLMOps. Requirements: B.E/B.Tech/M.Tech in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3+ years of software development experience and strong coding skills 3+ years of progressive experience in AI/ML, Gen AI. Experience of UI/UX implementation with React Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Expertise with cloud platforms for AI architecture, including AWS Bedrock and AWS SageMaker, with a thorough knowledge of their AI service offerings. Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Proven experience with LLMOps/MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Orchestrator & Automation: Kubernetes, Helm, Airflow, Terraform. Expertise with Python, TensorFlow, PyTorch, or other relevant AI/ML libraries. Push proofs of concept to production-grade systems handling performance metrics, latency, and scale. Building predictive and prescriptive AI/ML models and domain-specific AI models for full construction lifecycle . Competencies

MTS SOFTWARE DEVELOPMENT ENG INEER THE ROLE: AMD is looking for a specialized software engineer who is passionate about improving the performance of key applications and benchmarks . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. Key Responsibilities Develop test cases to validate functionality and performance. Monitor and maintain end-to-end ML test cases for the compiler in production, addressing issues as they arise. Contribute to open-source projects, sharing your developments with the community. Influence the direction of the AMD AI platform. Collaborate across teams with various groups and stakeholders. Preferred Experience A minimum of 7+ years of experience in relevant fields. Proficiency with AI/DL frameworks such as PyTorch, ONNX, or TensorFlow. Exceptional programming skills in Python, including debugging, profiling, and performance analysis. Experience with machine learning pipelines and CI/CD pipelines. Knowledge of MLIR is a significant advantage. Strong communication and problem-solving abilities. KEY RESPONSIBILITIES: Work with AMD s architecture specialists to improve future products Apply a data minded approach to target optimization efforts Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture Design and develop new groundbreaking AMD technologies Participating in new ASIC and hardware bring up s Debugging /fix existing issues and r esearch alternative, more efficient ways to accomplish the same work Develop technical relationships with peers and partners #LI-NR1

Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. & Summary Sr Manager_Data Science s Key Responsibilities Collaborate with clients to understand their business needs and provide datadriven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decisionmaking. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. Technical Skills Programming Languages Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks Extensive experience with TensorFlow, PyTorch, and Scikitlearn for building and deploying models. Data Visualization Tools Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control Experience with Git for collaborative development and code management. APIs and Web Services Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning ValueAdded Experience Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformerbased architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field 9+ years of relevant experience in data science and machine learning Strong analytical and problemsolving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Mandatory skill sets Data Science Preferred skill sets Data Science Years of experience required 9+ Education qualification BE/BTech/MBA/MCA Education Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 26 more} No

Job Summary: Role Summary: The Data Science Technical Leader will be responsible for the hands-on development and implementation of GenAI application and data science models, directly engaging with clients to solve complex problems, and leading teams to deliver innovative solutions. This role requires a mix of technical expertise, leadership skills, and client-facing experience. Job Description: Core Skills Lead and manage GenAI and data science projects from ideation through to deployment, ensuring they meet business requirements and are delivered on schedule. Hands-on development of GenAI (RAG, Agentic AI) and machine learning algorithms using any of the cloud platforms such as Azure, AWS, and Google Cloud Platform. Act as the primary point of contact for clients, understanding their challenges, proposing solutions, and maintaining strong relationships. Independently lead a team of data scientists and analysts, providing guidance and support to ensure professional growth and project success. Stay abreast of developments in AI/ML, especially Generative AI technologies, and evaluate their applicability to current and future projects. Ensure the technical feasibility and scalability of GenAI solutions. Conduct regular reviews and adjust project scopes, timelines, and technologies as needed. Communicate complex data-driven insights and the value of proposed solutions to non-technical stakeholders. Requirements: 8-12 years of experience in GenAI and data science, with a significant portion in a leadership role managing teams and projects. Proven track record of building and deploying GenAI applications and machine learning models and using services across Azure, AWS, and GCP. Strong understanding of and experience with Generative AI applications and their use cases. Excellent problem-solving skills with a client-oriented approach to project management. Exceptional leadership skills with the ability to mentor and motivate team members. Strong communication skills, capable of effectively interacting with both technical and non-technical stakeholders. Master s or PhD in Computer Science, Data Science, Statistics, or a relevant field. Preferred Qualifications: Certifications in Azure, AWS, or Google Cloud Data and Machine Learning services. Published research or active participation in the data science community through talks and conferences. EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science

Primary Skills: Semantic Kernel and Azure AI AgentExp min 9 month of real project experience Semantic Kernel experiencefocuses on building intelligent agents and applications by leveraging the Semantic Kernel SDK, which is an open-source framework from Microsoft that allows for the integration of AI models and services. Secondary Skills: This role involves designing and developing AI solutions, including copilots, and integrating them with enterprise data and systems using tools like Azure OpenAI, Azure AI Search

Your Role Lead and execute end-to-end implementation and support projects in SAP APO PPDS (Production Planning and Detailed Scheduling). Collaborate with business stakeholders to understand requirements and translate them into effective SAP solutions. Design, configure, and customize SAP APO PPDS modules to optimize production planning and scheduling processes. Conduct system testing, troubleshoot issues, and provide post-go-live support. Train end-users and ensure smooth knowledge transfer throughout the project lifecycle. Your Profile 412 years of hands-on experience in SAP APO PPDS implementation and support. Proficient in production planning processes, master data configuration, heuristics, and optimization techniques in APO PPDS. Strong analytical, problem-solving, and communication skills. Ability to work independently or as part of a global team, managing multiple priorities in a fast-paced environment. Exposure to integration with SAP ECC or S/4HANA systems is preferred. What will you love working at Capgemini Collaborate with diverse and talented teams on cutting-edge technology solutions. Access to continuous learning, upskilling, and career advancement opportunities. An inclusive, flexible, and supportive work culture that values innovation and work-life balance. Location - Noida,Chennai,Gurugram,Navi Mumbai,Pune,Kolkata,Hyderabad,Bengaluru

Greetings From Straive!!! We have an immediate opportunity for Data Scientist!!! !! Immediate to 15 days joiners preferrable!! JD: Role & responsibilities Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Preferred candidate profile Bachelor's degree in engineering, technology, computer science or related field. 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Strong experience in SQL or Python Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment. Thanks & Regards Human Resources Straive

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Role Overview: As Principal Data Engineer, you will drive the architecture and technical direction for MontyClouds next-generation data and knowledge platforms, enabling intelligent automation, advanced analytics, and AI-driven products for a wide range of users. You will play a pivotal role in shaping the data foundation for AI-driven systems, ensuring our platform is robust, scalable, and ready to support state-of-the-art AI workflows. You will also lead the efforts in maintaining stringent data security standards, safeguarding sensitive information throughout data pipelines and platforms. Key Responsibilities: Architect and optimize scalable data platforms that support advanced analytics, AI/ML capabilities, and unified knowledge access. Lead the design and implementation of high-throughput data pipelines and data lakes for both batch and real-time workloads. Set technical standards for data modeling, data quality, metadata management, and lineage tracking, with a strong focus on AI-readiness. Design and implement secure, extensible data connectors and frameworks for integrating customer-provided data streams. Build robust systems for processing and contextualizing data, including reconstructing event timelines and enabling higher-order intelligence. Partner with data scientists, ML engineers, and cross-functional stakeholders to operationalize data for machine learning and AI-driven insights. Evaluate and adopt best-in-class tools from the modern AI data stack (e.g., feature stores, orchestration frameworks, vector databases, ML pipelines). Drive innovation and continuous improvement in data engineering practices, data governance, and automation. Provide mentorship and technical leadership to the broader engineering team. Champion security, compliance, and privacy best practices in multi-tenant, cloud-native environments. Desired Skills Must Have Deep expertise in cloud-native data engineering (AWS preferred), including large-scale data lakes, warehouses, and event-driven/data streaming architectures. Hands-on experience building and maintaining data pipelines with modern frameworks (e.g., Spark, Kafka, Airflow, dbt). Strong track record of enabling AI/ML workflows, including data preparation, feature engineering, and ML pipeline operationalization. Familiarity with modern AI/ML data stack components such as feature stores (e.g., Feast), vector databases (e.g., Pinecone, Weaviate), orchestration tools (e.g., Airflow, Prefect), and ML ops tools (e.g., MLflow, Tecton). Experience working with modern open table formats such as Apache Iceberg, Delta Lake, or Hudi for scalable data lake and lakehouse architectures. Experience implementing data privacy frameworks such as GDPR and supporting data anonymization for diverse use cases. Strong understanding of data privacy, RBAC, encryption, and compliance in multi-tenant platforms. Good to Have Experience with metadata management, semantic layers, or knowledge of graph architectures. Exposure to SaaS and multi-cloud environments serving both internal and external consumers. Background in supporting AI Agents or AI-driven automation in production environments. Experience processing high-volume cloud infrastructure telemetry, including AWS CloudTrail, CloudWatch logs, and other event-driven data sources, to support real-time monitoring, anomaly detection, and operational analytics. Experience 10+ years of experience in data engineering, distributed systems, or related fields. Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (preferred).

Project Role : Decision Science Practitioner Project Role Description : Use domain and industry expertise to design and deliver AI-based decision-making frameworks and models for business outcomes. Must have skills : Value Engineering (VE) Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :You will play a strategic leadership role in helping us to continuously improve our products and customer experience with your strong problem-solving ability, communication, people management capabilities and your domain expertise. Roles & Responsibilities:Your success will be measured on 3 dimensions namely people, customer, business On customer front you will be responsible for Implementing methodologies to contextualize complex processes Abstract the problem statement with the objective function Be the key touch point and manage all customer presentations Define success metrics and scope the project clearly Manage technical delivery and mitigate risks on time Engage with customer continuously and ensure success On people front you will be responsible for Build a champion team and create a culture of excellence Empower the team and delegate with confidence Engage in open discussions and give constructive feedback Ensure employee retention On Business front you will be responsible for Maximize the gross margin of projects getting executed Mine existing accounts through change requests, new projects etc Identify replication possibilities to expand revenue base Develop partnership for GTM and Co-sell Professional & Technical Skills: - Minimum 10 years of total experience with recent & relevant experience of at least 3 years related to process data analysis - Should have strong analytical capability and understanding of operations data landscape. Solid understanding of Statistics, Process Control, optimization techniques and Artificial Intelligence algorithms. Hands On experience in solving real-world process optimization problems. Experience in any one Industry vertical like Oil & Gas, Process Chemical, Metal Processing, Food and Beverages, Pharma would be important. Experience with customer handling - Familiarity with agile methodology of project execution Desired Characteristics:- Strong oral and written communication skills - Strong interpersonal and leadership skills - Ability to influence others and lead small teams - Lead initiatives of moderate scope and impact - Ability to coordinate several projects simultaneously - Effective problem identification and solution skills - Proven analytical and organizational ability Additional Information:- The candidate should have a minimum of 14 years of experience in Value Engineering (VE).- The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Bengaluru office. Qualification BE

Summary: We are seeking a highly skilled and experienced Data Analyst to join our Data Services department. The ideal candidate will have at least 7 years of experience in data analysis and a strong background in statistical analysis, data mining, and data visualization. The Data Analyst will be responsible for interpreting data, analyzing results, and providing insights to drive business decisions. Roles and Responsibilities: - Collect and analyze data from various sources to identify trends and patterns - Develop and implement data models and algorithms to optimize data processing - Create visualizations and reports to communicate findings to stakeholders - Collaborate with cross-functional teams to understand business needs and provide data-driven solutions - Identify opportunities for process improvement and automation - Stay current with industry trends and best practices in data analysis Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - Minimum of 7 years of experience in data analysis - Proficiency in SQL, Python, R, or other programming languages - Strong analytical and problem-solving skills - Excellent communication and presentation abilities - Experience with data visualization tools such as Tableau or Power BI - Knowledge of machine learning techniques is a plus