5258 Sagemaker Jobs - Page 25

Please complete the Google form as indicated. It is mandatory to fill out the form. Only those appilcations will be considered. https://forms.gle/m1C1qfHRLM4vzzgL7 The link cannot be accessed from here. Please copy and paste the link in your browser and fill the form. Experience: 2 - 5 Years Location: Onsite (Banashankari, Bengaluru) Pincode: 560085  Company Description At PurpleMerit, we build smart software that helps businesses solve real problems with practical AI solutions. We focus on creating tools that make work easier, faster, and more reliable. Our specialty is in building intelligent, autonomous systems that transform how businesses operate and interact with technology. We believ...

Greetings from TCS! Tata Consultancy Services is hiring for Data Science (Generative AI + Python with AI/ML and SQL) Job location: Pan India Desired experience range: 5 to 10 years Requirements (must have): Hands-on experience in data science and machine learning (both traditional ML and LLM-based solutions). Strong programming skills in Python and familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, LangChain, and HuggingFace. Experience building APIs and deploying models with FastAPI. Proven experience with AWS ML stack (SageMaker, Bedrock Lambda, EKS, etc.). Strong understanding of AI Governance principles including compliance, security, explainability, and monitoring. Exper...

Modeling & ML Frameworks: Python, scikit-learn, PyTorch, TensorFlow — spanning classical ML, deep learning, and transformer-based architectures. Includes modern ensemble methods (XGBoost, LightGBM) for large-scale structured modeling. Applied Domains: Ranking, Recommendation, Dynamic Pricing, Forecasting, Supply–Demand Optimization, Semantic Search, NLP/NLU, Generative Content Systems Data & Compute: Databricks, PySpark, AWS (S3, Glue, EMR, Athena), ScyllaDB, MongoDB, Redis Experimentation & Optimization: MLflow, Airflow, SageMaker, Bayesian Optimization, Bandit/Sequential Experimentation LLMs & GenAI: Claude, OpenAI GPT-4, SLMs, LangChain, Cursor IDE, RAG Pipelines, Embedding Models, Vector...

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the ma...

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the ma...

Job Title: Lead ML Engineer Experience: 7+ Years Location: Remote—India Work Mode: Full-time (Remote) About the Role We are looking for a Lead ML Engineer to drive architecture, innovation, production deployment, and team leadership across ML initiatives. This role is ideal for someone who loves building enterprise-scale ML systems, leading teams, and transforming prototypes into high-performing production systems. Key Responsibilities 🔹 Team Leadership Lead and mentor ML engineers and foster high-quality engineering culture. Guide team members on ML system design, coding practices, and problem-solving. 🔹 Architecture & Strategy Design high-throughput, scalable ML/AI systems. Develop the tec...

Job Title: AI/ML Builder – Salesforce + Generative AI Experience: 5–7 Years Location: Remote Work Timings: 11:00 AM – 9:00 PM IST Employment Type: Full-Time Job Summary: We are seeking a highly skilled AI/ML Builder with strong expertise in Salesforce and Generative AI technologies. The ideal candidate will design and implement intelligent, secure, and scalable AI-driven solutions using Einstein, Einstein GPT, LLMs, vector databases, and external AI/ML services . This role involves building advanced workflows, personalized recommendations, intelligent automation, RAG pipelines, and custom GenAI-powered bots within the Salesforce ecosystem. Key Responsibilities: Salesforce Development & Custo...

We are looking for a Senior AI/ML Engineer with strong expertise in Python, LLMs, RAG, Generative AI, LangChain/LangGraph, and vector databases . The ideal candidate should have hands-on experience building scalable AI pipelines and deploying ML models in production. Key Responsibilities Build & fine-tune LLMs and GenAI models Develop RAG pipelines using enterprise data Work with LangChain / LangGraph for AI workflows Build document ingestion + vector DB pipelines (Pinecone/FAISS/Chroma) Write clean, modular Python code Implement ML/DL models using TensorFlow/PyTorch Deploy models using Docker, Kubernetes, and cloud platforms (GCP/AWS/Azure) Collaborate with teams and drive AI innovation Ski...

General information Country India State Karnataka City Bengaluru Job ID 46959 Department Development Experience Level MID_SENIOR_LEVEL Employment Status FULL_TIME Workplace Type Hybrid Description & Requirements SUMMARY: We are seeking highly motivated and detail-oriented Cloud Architect, with 15+ years of experience developing scalable products as well as experience working on enhancements and ongoing maintenance work. Here is an opportunity to be part of developing new products for the next generation of business applications in the Cloud. EDUCATION & EXPERIENCE: Masters of Science in Computer Science or equivalent 15+ years of experience developing scalable products as well as experience ...

Key Responsibilities Develop and maintain CI/CD pipelines for ML models. Automate model deployment, monitoring, and performance tracking. Collaborate with data scientists to ensure models are productionready. Implement tools for model versioning, testing, and validation. Ensure compliance with data governance and security standards. Optimize ML workflows for scalability and costefficiency. Troubleshoot and resolve issues related to model performance and infrastructure. Stay updated with the latest MLOps tools and best practices. Support continuous improvement by identifying and solving opportunities. Bachelor or Master degree in Computer Science, Data Science, or related field. 10+ years of ...

Description The Role We are looking for a skilled and passionate AI/ML Engineer who will be responsible for designing, developing, and deploying scalable Machine Learning and AI-driven solutions. The ideal candidate should have hands-on experience in building ML/DL models, working with large datasets, and deploying models into production. Key Responsibilities Design, develop, train, and optimize machine learning and deep learning models. Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA). Evaluate model performance and implement improveme...

Description We are seeking an experienced AI/ML Engineer with 45 years of hands-on expertise in designing, developing, and deploying scalable machine learning and AI-driven solutions. The ideal candidate will have strong proficiency in model development, data engineering, MLOps, and cloud deployment, with the ability to collaborate across teams and translate business needs into advanced AI solutions. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and NLP models for diverse business applications. Build end-to-end ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize model performance and ensure sc...

Company Description Klugsys is a German technology company, founded by visionary technologists and business strategists, is dedicated to empowering enterprises through intelligent automation and immersive digital solutions. Beyond development, we act as partners in transformation, focusing on measurable impact, ethical innovation, and collaboration. Our commitment is to drive meaningful change across technological frontiers by working closely with our clients. Join us to be part of a team that prioritizes innovation and real-world results. Role Description As an AI/ML Engineer at Klugsys, you will design, build, and optimize AI models that power multiple AI features and multi-agent workflows...

Key Responsibilities Develop and maintain CI/CD pipelines for ML models. Automate model deployment, monitoring, and performance tracking. Collaborate with data scientists to ensure models are productionready. Implement tools for model versioning, testing, and validation. Ensure compliance with data governance and security standards. Optimize ML workflows for scalability and costefficiency. Troubleshoot and resolve issues related to model performance and infrastructure. Stay updated with the latest MLOps tools and best practices. Support continuous improvement by identifying and solving opportunities. Bachelor or Master degree in Computer Science, Data Science, or related field. 10+ years of ...

Key Responsibilities A total of 5+ yrs of exp in ML Ops Platform support role Develop and maintain CI/CD pipelines for ML models. Automate model deployment, monitoring, and performance tracking. Collaborate with data scientists to ensure models are production-ready. Implement tools for model versioning, testing, and validation. Ensure compliance with data governance and security standards. Optimize ML workflows for scalability and cost-efficiency. Troubleshoot and resolve issues related to model performance and infrastructure. Stay updated with the latest MLOps tools and best practices. Support continuous improvement by identifying and solving opportunities. Bachelor or Master degree in Comp...

Key Responsibilities: Design & Development: Lead the design, development, and implementation of end-to-end AI/ML systems and pipelines, from data ingestion to model deployment and monitoring. Develop and optimize algorithms and models, with a strong emphasis on Generative AI models (LLMs, Diffusion Models, etc.), fine-tuning, and prompt engineering. Write clean, maintainable, and efficient code in Python and other relevant languages. MLOps & Deployment: Implement robust MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD) of ML models, monitoring, and retraining. Deploy AI/ML models into production environments, ensuring scalability, reliability, and per...

We’re seeking a skilled Data Scientist with expertise in SQL, Python, AWS Sagemaker, Machine Learning (Supervised and Unsupervised Learning techniques) to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value. Key Responsibilities Model Development: Build, validate, and deploy machine learning models using Python and AWS SageMaker to drive next-best-action decisions. Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportuni...

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivota...

🚀 We Are Hiring: Data Scientist – GenAI (3+ Years) | Chennai | Hybrid | Immediate Joiners Preferred Are you passionate about LLMs, NLP, and Generative AI? Do you enjoy building intelligent systems using embeddings, transformers, and fine-tuning techniques? If yes, we want to talk to you! 👇 📧 How to Apply Please share your CV at: ngongadala@randomtrees.com Or DM me directly on LinkedIn. 📌 Role Overview We are looking for a Data Scientist (GenAI) with strong hands-on experience in building, fine-tuning, and deploying AI/ML models for production-grade applications. 📍 Location Chennai – Hybrid (2–3 days office/week) 🧑 💼 Experience 3 - 15 Years 📅 Joining Immediate joiners 🛠 Key Responsibilities B...

Job Description Engineering & Deployment Build, train, and optimize ML/DL models for real-world applications across domains. Collaborate with MLOps teams for model deployment, monitoring, and lifecycle management. Ensure solutions follow best practices in scalability, reproducibility, and responsible AI principles. Mentorship & Collaboration Mentor junior engineers and data scientists in ML best practices and solutioning. Collaborate with cross-functional teams to translate business problems into AI/ML solutions. Required Qualifications Experience: 9–10 years in AI/ML with at least 6-7 years in data science and ML engineering. Technical Expertise: Strong expertise in predictive modeling, reg...

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adap...

About The Opportunity Industry: Enterprise Generative AI & Natural Language Processing (NLP). We build LLM-driven search, knowledge augmentation, and intelligent automation solutions for B2B SaaS and enterprise customers. The team focuses on production-grade Retrieval-Augmented Generation (RAG), embedding pipelines, and low-latency inference services that power customer-facing products and internal automation. Standardized Title: Machine Learning Engineer — LLM & RAG (best-performing title for this search) Role & Responsibilities Design and implement end-to-end RAG pipelines: document ingestion, embedding generation, vector indexing, retrieval, and prompt orchestration for production LLM app...

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $19.7 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that...

Senior Pyhton AI Developer Your Responsibilities Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras. Build end-to-end LLM and RAG pipelines using LangChain and LangGraph. Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies. Utilize Hugging Face Transformers for model fine-tuning and deployment. Integrate embedding models for semantic search and retrieval systems. Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases. Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization. Implement real-time communication with FastAPI WebSockets. Implement pgvecto...

Role Description This is a hands-on engineering role focused on building and maintaining AI and ML services on AWS. You will help turn ideas and prototypes into robust, production-ready APIs and ML flows using Amazon Bedrock, Amazon SageMaker, Python, and FastAPI. Build and maintain Python + FastAPI services that integrate ML and LLM capabilities. Use AWS Bedrock and Amazon SageMaker to develop, deploy, and monitor ML and LLM models. Implement and support ML flows/pipelines under the guidance of senior architects. Assist with data preparation for model training, validation, and evaluation. Contribute to automated testing, CI/CD pipelines, and observability for ML-powered services. Write clea...