135 Ml Pipelines Jobs

As a candidate for the position, you will be expected to have the following Educational Requirements: - Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. - Bachelor's degree in a quantitative discipline (e.g., Operation Research, Statistics, Mathematics) or significant relevant coursework with consistent academic track record. Additional Academic Qualification (good to have): - Masters in any area related to Science, Operation Research, Mathematics and Statistics with consistent academic track record. - PhD in any stream. Your key responsibilities in this role will include: - Understanding the requirements from the business and translating th...

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting chall...

As a Global Product Lead at MiQ, a global programmatic media partner, you will play a crucial role in leading and expanding a unified Data Management and LLMOps framework. Your responsibilities will include: - Leading and expanding a unified Data Management and LLMOps framework across various functions such as engineering, analytics, data science, and ad operations. - Architecting and managing automated data pipelines for onboarding, cleansing, and processing structured and unstructured data using advanced AI/agentic automation. - Overseeing the adoption and execution of Agentic AI in data workflows, defining and scaling LLMOps best practices, and ensuring seamless orchestration of AI models...

Note - This opportunity is on behalf of one of our esteemed clients were assisting them with the hiring process. They are looking to fill this position immediately (within this week). Only candidates from Bengaluru or nearby (commutable) locations will be considered. Role Overview We are looking for an experienced AI Data Architect to design and implement robust, scalable, and secure data architectures that power AI/ML solutions. The role involves defining data strategies, enabling advanced analytics, ensuring data quality/governance, and optimizing infrastructure to support modern AI-driven applications. Key Responsibilities Design and implement end-to-end data architectures to support AI/M...

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the worlds most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Me...

Design & deploy ML models for OCR, NLP & data extraction from clinical docs Implement SNOMED CT, MedDRA, LOINC recognition Build discrepancy detection & query generation Integrate ML pipelines with teams Required Candidate profile Master’s in CS/Data Science 3+ yrs ML/NLP (healthcare preferred) LLMs, prompt engineering, hyperparameter tuning PyTorch/TensorFlow, Hugging Face,OCR AWS Bedrock/SageMaker HIPAA/GDPR compliant ML

Job Title: Python Backend Developer Location: Hyderabad Employment Type: Full-time Job Summary We are seeking an experienced Python Backend Developer to design, develop, and maintain scalable backend services. The role involves building high-performance data pipelines, deploying applications on cloud infrastructure (AWS/EKS), integrating AI/Generative AI models, and working with GraphDB for advanced data querying and analytics. Key Responsibilities * Backend Development: Design, develop, and maintain Python-based backend services for real-time and batch data processing. * Cloud Infrastructure: Deploy and manage containerized applications on AWS ( primarily EKS ), ensuring scalability, high a...

Responsibilities: * Develop ML pipelines from data prep to model deployment * Collaborate with cross-functional teams on project delivery * Optimize model performance through continuous learning

Experience: 8+ years of experience in the data field, with a proven track record of success in data engineering, data analysis, and data science. Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field. Technical Skills: Expert proficiency in SQL and at least one programming language such as Python or R. Extensive experience with cloud platforms (e.g., AWS, GCP, Azure). Hands-on experience with big data technologies (e.g., Spark, Hadoop). Strong understanding of database technologies, including both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases.

Role & responsibilities Understand workflows/processes and devise strategies for the areas applicable to AI-based implementation. Translate eLearning requirements into AI-driven automation strategies. Define data requirements and provide datasets for AI model training specific to eLearning. Design and maintain data pipelines (Azure Data Factory, Databricks, Synapse Analytics) to ensure clean, structured content for training. Apply governance frameworks (Azure Policy, Purview, DLP) to ensure responsible AI practices. Ensure fairness and transparency in AI models using Fair learn and Interpret ML. Develop and optimize AI models for automating eLearning processes, including interactive storyboa...

As a Senior/Staff Machine Learning Engineer at SAP, you will play a crucial role in shaping and advancing SAP's generative AI services. Your responsibilities will include leading the technical aspects of architecting, scaling, and securing the next generation of AI services. You will be instrumental in designing and implementing ML pipelines, orchestrators, and workflow systems to transform foundational model research into robust, enterprise-ready solutions. Working within the Experience Generation team, you will contribute to three key generative-AI services: Deep Research & Planning, Experience Builder, and Visual Services. These services leverage AI to deliver strategic plans, dashboards,...

The company you will be working for believes in conducting business based on core values like Inclusion, Innovation, Collaboration, and Wellness. These values guide the team to work together globally with customers at the forefront while also emphasizing self-care and community well-being. In this role, you will be responsible for driving the strategic vision and development of advanced machine learning models and algorithms aimed at solving intricate problems. Collaborating with data scientists, software engineers, and product teams, you will focus on enhancing services through innovative AI/ML solutions. Your duties will include constructing scalable ML pipelines, ensuring data quality, an...

Responsibilities Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon). Fine-tune and customize foundation models using domain-specific datasets and techniques. Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses. Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain. Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms (Azure/AWS/GCP). Ensure robustness, scalability, and compliance of AI models in deployment environments. Good to have experience in fi...

Role Overview: We are looking for an innovative and highly engaged Machine Learning Engineer to join our global team. You will be responsible for designing and maintaining scalable ML pipelines on AWS, optimizing vector databases for retrieval-augmented generation (RAG), and ensuring our Generative AI chatbot delivers state-of-the-art performance. You should be eager to experiment with new ideas, collaborate with a diverse international team, and help build the next generation of AI-powered SaaS solutions. Key Responsibilities: Generative AI & Model Optimization Train, fine-tune, and optimize LLM-powered applications, including chatbots, NER models, and document intelligence solutions. Enhan...

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, M...

What you will do: ACVs Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML teams solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as weve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artifi...

Role: Machine Learning Engineer Exp: 3-8 years Notice period: Immediate Mode: Work from office(5 days) Location: Hyderabad Looking for a driven and innovative Machine Learning Engineer to help us scale and foresee problems that aren't apparent. We're seeking a hands-on individual with a strong passion for data and a proven ability to translate complex data challenges into robust, scalable machine learning solutions. In this role, you'll be a key player in developing, deploying, and maintaining ML models that directly impact our core business functions and enhance user experiences. If you thrive in a collaborative, fast-paced environment, excel at working with diverse data sources, and posses...

Greeting From BMW Techworks !! Experience: 3 to 8 Years Location: Bangalore, Pune Notice period: immediate to 60days Job Description :- We are seeking a skilled Software Engineer with expertise in AWS cloud technologies to design, develop, and deploy scalable applications using core AWS services. Familiarity with computer vision/deep learning is a plus and will enhance your ability to contribute to cutting edge projects in Automated Driving technologies. Key Responsibilities: Design, develop, and maintain scalable, high-performance applications using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, Batch and ECS/EKS. Monitor and optimize application performance using AWS tools like Cloud...

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organiza...

Dharmakit Networks is a premium global IT solutions partner dedicated to innovation and success worldwide. Specializing in website development, SaaS, digital marketing, AI Solutions, and more, we help brands turn their ideas into high-impact digital products. Known for blending global standards with deep Indian insight, we are now stepping into our most exciting chapter yet. Project Ax1 is our next-generation Large Language Model (LLM), a powerful AI initiative designed to make intelligence accessible and impactful for Bharat and the world. Built by a team of AI experts, Dharmakit Networks is committed to developing cost-effective, high-performance AI tailored for India and beyond, enabling ...

As a Global Senior Solutions Architect for Trusted Call Solutions at TransUnion, you will play a key role in architecting TransUnion's Branded Communications under the TruContact business portfolio. In this position, you will collaborate closely with carriers and Fortune 500 enterprises globally, serving as a strategic Solutions Architect and Sales Engineer simultaneously. Working alongside a team of senior solution architects and product managers, you will focus on designing, developing, and integrating technology solutions for global customers across different business verticals. Your responsibilities will include working closely with internal stakeholders such as Product Managers, Softwar...

Role: AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to Lead, develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, featu...

Principal Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed org...

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organiza...