382 Aws Sagemaker Jobs - Page 16

Role & responsibilities 3 to 6 years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Strong understanding of nonlinear optimization , constrained minimization, and time-series simulation Proficiency in advanced time series techniques , including probabilistic and hierarchical forecasting. Extensive practical experience working with the Databricks platform , including notebooks, jobs, and ML capabilities. Expert proficiency in PySpark, Python and SQL. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with model deployment, monitoring, and automation workflows using AWS SageMaker. Preferred candidate profile : We are looking for a candidate who possesses the following skills and experience: Proven expertise in PySpark and Databricks , with a strong hands-on approach. In-depth experience in time series analysis , forecasting , and optimization techniques (both linear and non-linear). Solid working knowledge of at least one major cloud platform Azure , AWS , or Google Cloud Platform (GCP) .

Job Description Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference. Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments. Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems. Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting. Ensure data security, integrity, and compliance with data governance policies. Perform troubleshooting and root cause analysis on production-level machine learning systems. Skills: Glue, Pyspark, AWS Services, Strong in SQL; Nice to have : Redshift, Knowledge of SAS Dataset

Mandatory Skills are: AWS machine learning services(AWS machine learning services) • data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) • knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) • Python and common data manipulation libraries Experience: 5+ years of experience in machine learning engineering or a related field. Technical Skills: * Programming Languages: Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus. * Machine Learning Libraries: Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc. * Data Processing: Experience with data manipulation and processing using libraries like Pandas, NumPy, and Spark. * Model Deployment: Experience with model deployment frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Seldon, AWS SageMaker, Google AI Platform, Azure Machine Learning). * Databases: Experience with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra). * Version Control: Experience with Git and other version control systems. * DevOps: Familiarity with DevOps practices and tools. * Strong understanding of machine learning concepts and algorithms: Regression, Classification, Clustering, Deep Learning etc. * Soft Skills: * Excellent problem-solving and analytical skills. * Strong communication and collaboration skills. * Ability

Job Description: Join DigiAlly , a cutting-edge fintech innovator enabling digital trust between SMEs and financial institutions across India and Southeast Asia using Generative AI , LLMs , and behavioral intelligence platforms . We are hiring a Senior Generative AI Engineer to lead the development of AI copilots , prompt/RAG workflows , and LLM-integrated decision systems using platforms like Amazon Bedrock and Google Vertex AI . Key Responsibilities: Design & optimize LLM prompts and context flows for fintech use cases. Build retrieval-augmented generation (RAG) systems using LangChain, LangFlow, Semantic Kernel. Integrate GenAI outputs with structured ML signals (fraud detection, risk scoring). Develop internal GenAI UIs using Streamlit, Gradio , or integrate with React.js frontends. Support deployment via AWS (Lambda, S3, API Gateway, EC2) for scalable delivery. Participate in prompt testing, evaluation loops , and ensuring LLM safety & grounding . Required Skills: 2+ years hands-on experience with LLMs, GenAI tools , or prompt/RAG engineering. Strong programming in Python , and exposure to LangChain / LangFlow / Semantic Kernel . Platform experience: Amazon Bedrock , Google Vertex AI , OpenAI , or Claude APIs . Knowledge of Vector DBs (Pinecone, FAISS) and embedding pipelines. API integration with Flask/FastAPI/Node.js ; familiarity with React is a plus. Strong communication, debugging, and product-collaboration mindset. Preferred Skills (Bonus): Frontend prototyping using Streamlit or Gradio Experience with chatbot frameworks or code/document automation via GenAI Understanding of Mermaid, AST parsing , or diagram generation for code assistants Familiarity with DevOps basics , version control, and CI/CD pipelines Education: B.Tech/B.E. in Computer Science / Engineering / AI-ML / Related Field M.Tech / M.Sc / MCA preferred (not mandatory)

Company Name: Karini AI Job Title: Generative AI Engineer Location: Wakad, Pune (Onsite) Employment Type: Full-time Job Overview: Karini AI is looking for a highly motivated and skilled Generative AI Engineer to join our AI team. The ideal candidate should have expertise in Large Language Models (LLMs), Machine Learning (ML), and Deep Learning . We are looking for problem solvers, collaborative team players, and passionate individuals eager to work on cutting-edge AI technologies. If you aspire to be part of an innovative team and accelerate your career in AI, this is the perfect opportunity for you! Roles & Responsibilities: Collaborate with researchers, engineers, and domain experts to design, develop, and optimize Agentic AI applications . Fine-tune LLMs on large-scale datasets to enhance performance and accuracy. Develop compelling demos and lead proof-of-concept (PoC) projects. Stay updated with the latest research advancements in Generative AI and implement best practices. Deploy large-scale machine learning models in cloud-based environments. Mandatory Technical Skills: Hands-on experience in Generative AI and Deep Learning . Advanced knowledge of prompt engineering . Strong experience in PyTorch and working with GPUs . Proficiency in Python (Intermediate to Advanced level). Understanding of model fine-tuning and distributed computing in the cloud. Eligibility Criteria: Bachelors degree in Computer Science, AI, or a related field (4-year program). Masters degree in Artificial Intelligence or a related domain (preferred). Proven experience working as an AI Engineer with a strong foundation in Generative AI . Proficiency in deep learning frameworks and NLP techniques. Experience with cloud-based infrastructure for deploying machine learning models. Key Skills: Generative AI, Deep Learning, Machine Learning, Natural Language Processing (NLP), PyTorch, Python, Cloud Computing, LLM Fine-Tuning, Agentic AI, Lang graph.

AI Quality Assurance Lead (Evaluation & Testing) This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India ABOUT THE TEAM The Generative AI Quality & Safety team owns ABC Fitnesss evaluation frameworks, testing pipelines, and compliance tooling for AI-driven features. We partner with product, engineering, and legal teams to ensure every LLM interaction meets rigorous standards for accuracy, safety, and performance. As our AI Quality Assurance Lead, youll architect hybrid (automated + human) testing systems, define GenAI quality KPIs, and embed Responsible AI principles across our fitness-tech platform. At ABC Fitness, we love entrepreneurs because we are entrepreneurs. We know how much grit it takes to start your own business and grow it into something that lasts. We roll our sleeves up, we act fast, and we learn together. WHAT YOULL DO Design and deploy evaluation pipelines for generative AI systems using tools like OpenAI Evals, Promptfoo, and custom test harnesses. Develop hallucination detection workflows and bias-analysis frameworks for LLM outputs across 10+ languages. Partner with AI researchers to translate model capabilities into testable requirements for product teams. Implement CI/CD-integrated regression testing for AI microservices on AWS/Azure, monitoring model drift and performance degradation. Lead bug triage sessions, prioritizing issues impacting user trust, legal compliance, or revenue. Document QA protocols, failure modes, and root-cause analyses in our internal knowledge base. WHAT YOULL NEED 7+ years in QA/testing roles, with 3+ years focused on AI/ML systems (LLMs, recommendation engines, or conversational AI). Hands-on experience with GenAI evaluation tools (LangSmith, Weights & Biases) and statistical analysis (Python, SQL). Proficiency in cloud platforms (AWS SageMaker, Azure ML) and containerized testing environments (Docker, Kubernetes). Deep understanding of Responsible AI principlesfairness, transparency, privacyand adversarial testing methodologies. Ability to mentor junior engineers and communicate technical risks to non-technical stakeholders. Certifications like AWS Certified Machine Learning Specialty or Microsoft AI Engineer are a plus. WHATS IN IT FOR YOU: Purpose led company with a Values focused culture Best Life, One Team, Growth Mindset Time Off competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards crche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers.

Senior GenAI Developer with 8+ yrs exp, 2+ in NLP/GenAI. Skilled in Python, LangChain, AWS (SageMaker, Bedrock), vector stores, LLM fine-tuning, prompt engineering, agent frameworks, CI/CD, Textract, and secure, scalable architecture design.