3815 Sagemaker Jobs - Page 21

Key Responsibilities Design, develop, and optimize scalable data pipelines using Python and PySpark. Build and deploy machine learning models and MLOps components using AWS SageMaker. Design and build backend services and APIs using Flask or FastAPI frameworks. Work on large-scale data processing solutions leveraging AWS EMR. Implement and manage search and analytics solutions using AWS OpenSearch. Collaborate with geographically distributed teams to understand requirements and deliver solutions. Participate in architecture design, code reviews, and on-call rotations for production support. Troubleshoot and resolve performance, scalability, and operational issues. Integrate CI/CD pipelines a...

Dear Candidates, We are looking for candidates interested in the role of Machine Learning Engineer. Following is the Job Description for your reference. Job Title: Machine Learning Engineer Location: Bangalore/Gurugram/Chennai Experience: 8–10 Years Domain: Payments / FinTech (preferred) About the Role We are looking for a seasoned Machine Learning Engineer with 8–10 years of experience to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, data science, and model deployment at scale. Experience in the payments domain , especially working with credit card and UPI data , is highly desirable. Key Responsibilities Collect, preprocess, and analyze...

Job Description Role Overview The Corporate AI Strategist will play a pivotal role in shaping BGSW’s AI-first future by defining, measuring, and advancing AI maturity across the enterprise. Unlike function-specific AI strategist roles (e.g., in HR, Finance, or Operations), this position is enterprise-wide and horizontal, ensuring AI strategy, governance, and maturity frameworks are consistently applied across all value streams. This role combines strategic foresight, technical expertise, and consulting acumen to align AI adoption with organizational priorities, embed AI into business and operating models, and drive sustainable, responsible AI-enabled transformation. Key Responsibilities AI S...

About the Role: Grade Level (for internal use): 10 We are seeking a passionate and skilled Machine Learning Engineer with expertise in Python, Generative AI, and Natural Language Processing (NLP). The ideal candidate will have hands-on experience in training custom models using tools like spaCy and Prodigy or similar AI tools, and in transforming unstructured text into structured formats using OpenAI and other LLM-based frameworks. Key Responsibilities: Design, develop, and deploy NLP models for structured text generation, entity recognition, and transformation tasks. Train and fine-tune models using spaCy, Prodigy or similar tools. Knowledge about transfomers, and experience in prompt engin...

As an Architecture & Engineering Specialist in ML Engineering at ZS, you will be a part of ZS's Scaled AI practice within the Architecture & Engineering Expertise Center. Your role involves collaborating with data scientists to develop cutting-edge AI models, ML platforms, and pipelines to create continuous business value for clients. You will be responsible for managing the complete ML lifecycle, leading a team to achieve established goals, and mentoring technical talent within the team. Additionally, you will drive innovations on niche technologies and architecture patterns to maintain a culture of rapid learning and explorations. Key Responsibilities: - Work on ZS AI Products or client AI...

About Us & The Role At Truxt.ai, we're not just another startup—we're solving large enterprises' biggest data paradoxes and pioneering the world's first fully autonomous software operations. As an early-stage company driven by a meaningful mission, we seek exceptional engineering talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation. As a Founding Senior Machine Learning Engineer, you'll be instrumental in architecting our AI-driven autonomous systems, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions. You won't just be implementing models—you'll have the freedom to researc...

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role. Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our ...

Responsibilities: Develop models for prediction, classification, clustering, and other use cases. Expertise in Python, TensorFlow Strong grasp of math and statistics. Build and optimize neural networks for advanced use cases (e.g., NLP, image recognition, and GenAI). Proficiency in frameworks like TensorFlow, PyTorch Develop models for text processing, chatbots, sentiment analysis, and language generation. Design and implement generative models (GANs, VAEs, diffusion models, LLMs). Fine-tune pre-trained models like GPT, PaLM, or Stable Diffusion for specific use cases. Experiment with architectures to optimize generation quality and performance. Collect and preprocess datasets for training g...

About the Role We are seeking an experienced and highly motivated Data Scientist with 4–6 years of hands-on experience in Generative AI, Machine Learning, and Deep Learning , including the development and deployment of Large Language Models (LLMs) and transformer-based architectures . You will work on cutting-edge AI solutions across various domains like NLP, Computer Vision, Reinforcement Learning , and more, contributing to both research and production-level implementations. Key Responsibilities Design, develop, and deploy machine learning models with a focus on Generative AI, NLP, and LLMs (e.g., GPT, BERT, LLaMA). Implement Retrieval-Augmented Generation (RAG) pipelines, and perform prom...

About the Company: #EverestDX Inc, a Product and Services company headquartered in Stamford, with global delivery centers in Hyderabad and Chennai . Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies. Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, m...

About The Role Grade Level (for internal use): 11 AI/ML Lead – Software Engineering We are seeking a highly skilled and motivated AI/ML Engineer Lead to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects. As a Machine Learning Engineer, you will be responsible for designing, implementing, and optimizing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop innovative solutions that drive business growth. Requirements Bachelor’s...

About the job We are seeking an experienced AI/NLP Engineer to join our team. The ideal candidate will have expertise in working with large language models and AI-based tools, strong analytical skills, and experience developing, testing, and refining AI-driven applications. Know your team (“Legacy Rewired, Engineering the Future”) At ValueMomentum’s Engineering Centre, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineerin...

About The Role Grade Level (for internal use): 11 AI/ML Lead – Software Engineering We are seeking a highly skilled and motivated AI/ML Engineer Lead to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects. As a Machine Learning Engineer, you will be responsible for designing, implementing, and optimizing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop innovative solutions that drive business growth. Requirements Bachelor’s...

Location - LTIM Pan India Experience - 5+to 12+ yrs Generic JD- Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment JD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intel...

Title: Data Platform Engineer Experience: 5+ years Location: Remote Duration: 6 months Job Description Are you passionate about building and supporting modern data platforms in the cloud? We’re looking for a Sr. Data Platform Engineer who thrives in a hybrid role—60% administration and 40% development/support—to help us scale our data and DataOps infrastructure. You’ll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations. If you’re a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from ...

You will be part of the AI Cloud Quality Engineering team at Salesforce, specializing in Salesforce's AI Platform and applications. As a Quality Engineer, your role will involve leading the design, development, and execution of comprehensive test plans and quality strategies with a focus on automation. You will collaborate closely with product and engineering teams to ensure the quality of new features and successful execution of regression tests across various environments. Your responsibilities will include understanding complex backend AI flow systems, identifying potential risks, and strategically planning and executing testing efforts to ensure stability, reliability, and quality of fea...

You are an enthusiastic RPA & Intelligent Automation professional joining the ranks of a newly founded CoE at Booking.com. Your role is to meet increasing demand from the business, support the rapidly growing portfolio of automation, and make an impact across every business area. The team is considered a service provider for the entire company, operating with a large degree of autonomy and entrepreneurship. **Key Responsibilities:** - Naturally oriented towards improving efficiencies - Seeking accountability from yourself and others - Compassionate collaborator with a deep sense of camaraderie - Willingness to be cross-functional, pick up new skills, and cover new ground with/for the team - ...

MLOpsWe are looking for a highly skilled Analytics & Data Engineering professional with a strong background in Machine Learning, MLOps, and DevOps. The ideal candidate will have experience designing and implementing scalable data and analytics pipelines, enabling production-grade ML systems, and supporting agent-based development leveraging MCP/OpenAPI to MCP wrapper and A2A protocols. This role combines hands-on technical work with solution design, and will require close collaboration with data scientists, product teams, and engineering stakeholders. ;Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL/ELT processes for analytics and ML workloads.Implement MLOps ...

Prior ~2+ ;years of experience working with ML Ops & DS Responsibilities & Skills: Deploy, monitor, and scale ML models on AWS ;(SageMaker, ;EKS, ;Lambda) or GCP ;(Vertex ;AI, ;GKE, ;Cloud ;Functions). Build and maintain CI/CD ;pipelines for ML workflows using GitHub ;Actions ;/ ;Jenkins ;/ ;cloud-native ;tools. Containerize and orchestrate workloads with Docker ;& ;Kubernetes; manage infra via Terraform/CloudFormation. Implement model ;registries, ;feature ;stores, ;and ;observability using MLflow, ;Feast, ;Prometheus/Grafana. Collaborate with data scientists to operationalize ML models for personalization, ;recommendations, ;NLP. Proficient in Python, ;ML ;frameworks ;(Scikit-learn, ;Tenso...

We are seeking an experienced DevOps Engineer to support our AWS Generative AI initiatives, focusing on building secure, scalable, and automated cloud environments. The ideal candidate will be highly proficient in Terraform-based infrastructure automation, Azure DevOps CI/CD pipelines, and AWS AI/ML services, with strong emphasis on security, compliance, and operational excellence. This role will be pivotal in enabling our Data & AI teams to deploy, manage, and operate generative AI workloads efficiently and securely. Key Responsibilities Design, implement, and manage infrastructure-as-code (IaC) using Terraform for multi-account AWS environments. Build and maintain Azure DevOps CI/CD pipeli...

We are seeking an experienced AI/ML Solution Architect to design and deliver enterprise-grade Machine Learning and Generative AI solutions. The ideal candidate will define scalable, production-grade architectures across model development, training, deployment, and orchestration — integrating LLMs, MLOps, and distributed data systems. You will collaborate closely with Data Science, ML Engineering, and Business teams to drive innovation and technical excellence in the AI roadmap. Key Responsibilities Define and own end-to-end AI/ML architecture, from data pipelines to production deployment. Evaluate and select ML frameworks, tools, and platforms to ensure scalability, cost-efficiency, and main...

Position: Data & AI Lead Location: [Hybrid / Remote] Department: Data, AI & Analytics / Technology Reports to: Chief Data & AI Officer (CDAIO) Experience Required: 6-8+ Years Openings: 02 Role Overview: We are seeking a highly experienced and technically strong Data & AI Lead to take ownership of our data and AI initiatives across the enterprise. This position will be responsible for designing and executing a long-term roadmap to transform the organization into a data-first, AI-powered enterprise. The role encompasses data architecture, advanced analytics, AI/ML engineering, MLOps, governance, and applied AI use case delivery. The successful candidate will bring a unique combination of deep ...

Role Overview: We are seeking an experienced AI/ML Architect to lead the design and implementation of intelligent solutions for client use cases. The role involves building PoCs and scalable platforms leveraging Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs) to automate classification, dumpster overflow detection, and contract data extraction. Key Responsibilities: Architect and design AI/ML solutions for detection, contamination identification, and overflow classification using cloud-managed services, CNN models, and VLMs. Develop OCR and data extraction pipelines for contracts, invoices, and scanned documents using AWS Textract, Mistral OCR, or equivalent frameworks...

Location - LTIM Pan India Experience - 5+to 12+ yrs Generic JD- Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment JD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intel...

Position Summary: Knorr-Bremse, the world leader in braking systems and safety-critical mobility solutions, is building an AI Center of Excellence to accelerate innovation across truck and rail businesses. We are seeking a skilled ML/GenAI Engineer to be the operational backbone of our AI team. Your mission is to take the innovative models and prototypes developed by our scientists and transform them into production-grade, scalable, and highly efficient services. This is a hands-on engineering role focused on the post-modeling lifecycle: optimization, deployment, and MLOps. You will be the expert on making our cutting-edge Generative AI systems (including LLMs and RAG pipelines) run fast, co...