846 Aws Sagemaker Jobs - Page 4

12 to 16 years of experience in Artificial Intelligence, Machine learning technologies, GenAI technologies. Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI. Core expertise in architecting AI/ML, Deep learning & GEN AI Solutions end-to-end. Proven skills building machine learning, deep learning models leveraging large datasets. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. Proficiency in NLP and computer vision techniques to extract insights from unstructured clinical/healthcare data. Experience in designing algorithms for predictive analytics for efficient ...

Position: Consultant Data Scientist Experience: 8+Years Location: Hyderabad Work From Office Role & Responsibilities : Any Degree in Data Science, Statistics, Computer Science or related field. Strong expertise in Python Programming Language. Strong expertise in applied machine learning and statistical modelling. Proficiency in Python, SQL, and ML libraries (Scikit-learn, XGBoost, PyTorch, TensorFlow). Proficiency in data visualisation libraries like Matplotlib,Seaborne. Proficiency in well-known supervised ML algorithms like linear & amp, logistic regression, tree-based modes (decision-tree,random-forest). Proficiency in MLOps frameworks like MLFlow (Desirable). Hands-on experience with AWS...

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description We are seek...

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for Lead Data Scientist (GenAI)-Bangalore Location-1st Nov 2025 (Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: Lead Data Scientist (GenAI)- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Bangalore Date of drive- 1st Nov 2025 (Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Clou...

Sr. AI/ML Engineer Job Summary: We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities: AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with...

Job Title: AI Engineer AWS & Generative AI Experience Level: 2 to 5 years (with at least 2 years of hands-on experience in Generative AI solutions on AWS) Role Overview We are looking for a hands-on AI Engineer with strong experience in building production-ready Generative AI solutions on AWS. The ideal candidate will have prior experience implementing RAG (Retrieval-Augmented Generation) solutions , working with agentic frameworks , and deploying AI/ML workloads using AWS-native services. This is a core engineering role that requires deep technical expertise, problem-solving skills, and the ability to build end-to-end AI solutions in real-world enterprise environments. You will work closely...

Job Description We are looking for a motivated AI Engineer with solid AWS engineering experience, ideally with exposure to Amazon SageMaker, and a strong comfort level working with data. This role involves developing LLM-based solutions and integrating them into scalable cloud environments. The opening is for an immediate position. Responsibilities: Design and implement AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, and S3. Build and optimize LLM-based applications, including Prompt engineering, Retrieval-Augmented Generation (RAG), Embeddings, OCR pipelines. Develop and maintain Python-based APIs and workflows using frameworks like LangChain and LlamaIndex. Required ...

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description Job ...

• Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or LightGBM. • Strong understanding of data structures, algorithms, and statistics.

Data Scientist - GenAI Applications Position Overview We are seeking an experienced Data Scientist with 6+ years of experience to join our GenAI Applications team. This role leverages core data science expertisestatistical modeling, machine learning, and data analysisto enhance and optimize generative AI solutions. The ideal candidate will bring strong foundational data science skills and apply them to the emerging field of generative AI. Key Responsibilities Statistical Analysis & Machine Learning Conduct statistical analysis and hypothesis testing to validate model performance and business impact Build and optimize traditional machine learning models (regression, classification, clustering...

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feat...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLE - Lead - (Production & MLOps Focus) to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Title: Lead - Machine Learning Engineer - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About Machine Learning Engineering at UPS Technology: We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our innovative culture demands yes and how! We are UPS. We are the United Problem Solver...

Job Summary: We are looking for a talented AI Engineer to design, develop, and deploy AI-based applications and services. You will collaborate with data scientists, software engineers, and product teams to build scalable AI solutions that solve complex business challenges. Key Responsibilities: Develop, implement, and optimize AI models and algorithms using state-of-the-art techniques. Collaborate with cross-functional teams to identify AI opportunities and translate business needs into AI solutions. Build and maintain AI pipelines for data processing, model training, evaluation, and deployment. Integrate AI capabilities into existing applications and services. Stay current with AI research,...

Job Summary: We are seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning models and solutions. You will collaborate with data scientists, software engineers, and product teams to build scalable ML systems that provide actionable insights and enhance product capabilities. Key Responsibilities: Design, develop, and implement machine learning models and algorithms to solve real-world problems. Collaborate with data scientists and engineers to understand business requirements and translate them into ML solutions. Build and maintain scalable and production-ready ML pipelines and infrastructure. Perform data preprocessing, feature engineering, and model train...

About Position: We are hiring a highly skilled Machine Learning Engineer to lead the development and deployment of scalable ML solutions for enterprise applications. This role requires deep expertise in ML model development, MLOps, and cloud-native AI platforms, along with strong collaboration and solution delivery capabilities. Role: Machine Learning Engineer Location: All Persistent location Experience: 8 to 12 Years Job Type: Full Time Employment What You'll Do: You will design and implement robust ML pipelines, collaborate across teams, and deliver AI/ML solutions that drive business impact. Design, develop, and implement ML models for predictive analytics, NLP, computer vision, and reco...

We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimizing model deployment, and managing large-scale AI applications, including LLMs (Large Language Models) , ensuring they run efficiently in production. Key Responsibilities: Design and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML mode...

About The Role Project Role Data Platform Engineer Project Role Description Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills Data Science Good to have skills Generative AI Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will p...

The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of t...

Senior QA Engineer Location: Hyderabad 5-8yrs Job Summary : Test generative AI solutions on AWS, validating LLMs, RAG, prompts, and agentic workflows with n8n and Python libraries like deepchecks and LangChain. Key Requirements (8 Points) : 1. Test LLM outputs on AWS Bedrock using boto3. 2. Validate fine-tuned LLMs on AWS SageMaker with deepchecks. 3. Verify langchain prompts in AWS environments. 4. Test RAG pipelines with AWS OpenSearch and langchain. 5. Validate AI agents (crewai/autogen) on AWS Lambda. 6. Test n8n agentic workflows (e.g., ). 7. Ensure deployment stability on Amazon ECS/EKS with Docker. 8. Monitor performance with Amazon CloudWatch and wandb. Must-Have Skills : 5+ years of...

Architect and deploy scalable, production-ready GenAI/Agentic AI solutions. Expert in LLMs, RAG, prompt engineering, Python, MLOps (cloud/containerization/CI/CD), and vector DBs. Requires strong coding, fine-tuning, and FastAPI/ORM skills.

As an AI Specialist/Software engineering professional at a middle to senior level, your role will involve utilizing AI-ML to analyze data and predict process behaviors. It is essential to stay updated on industry trends, emerging technologies, and best practices in data science. Your responsibilities will include providing recommendations for adopting innovative approaches within the product teams and fostering a data-driven culture through knowledge sharing and problem-solving collaboration. Key Responsibilities: - Utilize knowledge of data analysis, Artificial Intelligence (AI), and Machine Learning (ML) to prepare test reports demonstrating test results - Communicate effectively with a co...

Role: MLOps Engineer Location: PAN India Exp: 3 to 12 years Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactiv...

AI/ML Engineer (7+ Yrs) Pune WFO AI/ML models at scale. Work hands-on with TensorFlow, PyTorch & scikit-learn, build ML pipelines, handle real-time data (Kafka) and ensure production-grade performance & monitoring.

As an experienced AI/ML Solution Architect at our company, you will play a crucial role in designing and delivering enterprise-grade Machine Learning and Generative AI solutions. Your responsibilities will involve defining scalable architectures, collaborating with various teams, and providing technical leadership. Here's a breakdown of what to expect: **Key Responsibilities:** - Define and own end-to-end AI/ML architecture, covering data pipelines to production deployment. - Evaluate and select ML frameworks, tools, and platforms for scalability, cost-efficiency, and maintainability. - Design feature stores, data pipelines, and inference services for real-time and batch ML workloads. - Esta...

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...