846 Aws Sagemaker Jobs - Page 11

Department: Digital Location: Gurgaon Work Mode: On-site About the Role: We are looking for a passionate Data Scientist to join our team and drive data-driven insights that improve our products and services. You will analyze complex datasets, build predictive models, and develop algorithms to solve challenging business problems. You will work closely with Platform team, engineers, and other stakeholders to translate data insights into actionable strategies. Responsibilities: • Analyze large datasets to identify trends, patterns, and insights. • Develop and implement machine learning models for prediction, classification, and optimization. • Design and execute experiments to test hypotheses a...

Notice Period-Immediate Joiner or Max 10 days(Do not share long notice period profile.) Permanent Payroll - Anlage Infotech Client - NTT DATA Location- Bangalore - Hybrid - 1/2 days in a week. Role & responsibilities Mandate - Python + GenAI +CI/CD pipelines Work location - Gold Hill Excelsior Park, South Tower, First Main Road, Electronic City Phase II( Bangalore Client office Siemens Exp - 7+ years Hybrid (3 days a week to office) JD - Senior Software Developer Python POSITION GENERAL DUTIES AND TASKS : 1. Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. 2. Develop RESTful APIs and backend services fo...

ViewTrade is a leading force in powering fintech and cross-border investing for financial services firms globally. With a focus on providing technology, support, and brokerage services, ViewTrade assists business innovators in launching or enhancing retail, fintech, wealth, or cross-border investing experiences. Over the past three decades, ViewTrade has collaborated with 300+ firms, ranging from technology startups to large banks, brokers, super apps, advisory, and wealth management, to create unique investment experiences tailored to meet customer demands. Operating in over 29 countries, ViewTrade's team brings decades of experience and expertise in financial services technology and servic...

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Halliburton Energy Services Landmark Software Services, Halliburton Digital Solutions, & Halliburton Consulting With nearly 50,000 employees in approximately 80 countries, Halliburton is one of the world's largest providers of innovative products and services to the oil and gas industry. We add value throughout...

Job Title: Machine Learning Engineer Experience Required: 5+ years Location: Job Summary We are seeking a skilled Machine Learning Engineer to design, build, deploy, and maintain scalable ML solutions. The ideal candidate will have strong hands-on experience in building end-to-end ML pipelines , deploying models into production, and setting up CI/CD workflows. You will collaborate with data scientists, DevOps, and product teams to deliver high-quality ML solutions with robust monitoring and performance tracking. Key Responsibilities Build and manage end-to-end ML pipelines (data ingestion ? preprocessing ? model training ? evaluation ? deployment ? monitoring). Deploy ML models using Azure M...

8+ years of experience in ML Ops engineering or a related field. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensive experience with ML Ops frameworks like Kubeflow , MLflow , TensorFlow Extended (TFX) , KubeFlow Pipelines , or similar. Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure). Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Skills : SageMaker, PySpark, AWS Servic...

Overview Proficient MLOps engineer capable of independently managing production model deployments, pipelines, and infrastructure operations. Responsibilities: Deploy and maintain ML models in production using technologies like AWS SageMaker, MLflow, or Kubeflow. Manage pipelines and CI/CD workflows using tools like ArgoCD, Terraform, or similar infrastructure-as-code platforms. Support data workflows and ETL orchestration through technologies like Astronomer or Airflow. Collaborate with data science teams to transition models into production environments. Perform root cause analysis and remediation for incidents. Qualifications: 24 years of experience in MLOps or DevOps. Proficiency with one...

Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the team of data scientists, GenAI developers and ML engineers in hands-on mode. The team is engaged in developing and deploying advanced LLM, SLM and RAG based models along with classical machine learning models including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to develop pipelines that autonomously discover problems, identify root causes and recommend actions in real-time and batch processing scenarios while ensuring that models are interpretable, scalable, and optimized for performance in production environments at big data scale. Gen-AI-Powered Analysis ...

5+ years of experience in ML Ops engineering or a related field. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensive experience with ML Ops frameworks like Kubeflow , MLflow , TensorFlow Extended (TFX) , KubeFlow Pipelines , or similar. Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure). Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Skills : SageMaker, PySpark, AWS Servic...

Job Description: Hands On experience with AWS Sagemaker (Training, Deployment and Monitoring) Good scripting skills in Python & Sagemaker Python SDK and solid understanding of Linux Environment Good understanding of ML concepts and Model Lifecycle Experienced in Docker to build and manage containerized Sagemaker Models Hands-On Experience on Terraform with Sage maker along with other AWS Services including writing and maintaining complex modules and state management. Hands-On Experience on building GitLab CI/CD pipeline and integration with DevSecOps tools such as Snitch, SonarQube, Veracode Strong Knowledge on AWS specifically with services like AWS Sagemaker, EC2, ECS, EKS, ECR, Lambda, VP...

Position 1 : MLOps Engineer II (Mid-Level) Location : Remote (Night Shift 10 PM to 7 AM CST) Contract : 12 months (Renewable) Start Date : December 1, 2025 Role Overview We are seeking a proficient MLOps Engineer (Level II) with 2–4 years of experience in ML operations, pipelines, and production deployments . The ideal candidate will be hands-on, detail-oriented, and capable of working independently to ensure ML models are deployed, monitored, and maintained effectively. Responsibilities Deploy and maintain ML models in production (AWS SageMaker, MLflow, Kubeflow). Manage CI/CD pipelines and infrastructure as code (Terraform, ArgoCD). Support ETL/data workflows using Airflow or Astronomer. C...

Job Title: Machine Learning Advisor Location: Remote Position Type: Part-Time (20 hours/week) Experience Level: Senior (8 to 10+ years) About the Role: We are looking for a hands-on Machine Learning Advisor who can both build initial models and mentor our junior engineers as they refine and productionize them. This is a part-time role designed for a senior professional who enjoys rolling up their sleeves to prototype and code , while also providing strategic guidance, architecture oversight, and mentorship .You will help us establish a solid ML foundation by: Building and validating the first versions of our models . Setting up the right processes, frameworks, and best practices. Working clo...

You are a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development. You will be working on high-velocity AI/ML projects involving predictive analytics, recommendation engines, and generative AI platforms. Your responsibilities include: - Design & Develop: Building robust Python-based applications for AI/ML, data processing, and automation. - Model Integration: Implementing, fine-tuning, and deploying ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - Data Engineering: Working with structured/unstructured datasets, building pipelines (ETL, real-time streaming), and optimizing data processing. - Fast Iterations: Deliv...

As an AI/ML Engineer at our company, you will be responsible for designing, training, and deploying machine learning models. Your role will involve collaborating with product and engineering teams to ensure scalable integration of AI models into real-world applications. This position is ideal for individuals with a strong background in NLP, deep learning, and reinforcement learning, who are eager to work on cutting-edge AI projects at scale. **Key Responsibilities:** - Design, train, and fine-tune ML/DL models with a focus on transformers, SLMs, LLMs, and recommender systems. - Implement RAG pipelines using vector databases such as Pinecone, Weaviate, FAISS, and frameworks like LangChain or ...

Job Description (Posting). GEN AI Solution Director Job DescriptionJob Role Overview:As a Generative AI Solution Director, you will be responsible for leading the development and implementation of innovative AI solutions that leverage generative models to solve complex business problems. You will work closely with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to ensure the successful delivery of AI-driven projects.Key Responsibilities:Strategic AI Solution Design: Collaborate with business leaders and product managers to understand business requirements, pain points, and opportunities where AI can deliver significant value. Design ...

Data Scientist / Analyst Location: Chennai Experience: 4 to 10 years Your Role As a Data Scientist / Analyst, you will play a key role in modeling vessel behavior, analyzing fleet health, and supporting sustainability metrics through advanced analytics and machine learning. You will work with large datasets and cloud-based tools to deliver predictive insights and contribute to operational efficiency and environmental goals. In this role, you will: Model vessel behavior and operational patterns using statistical and machine learning techniques Analyze fleet health to identify trends, anomalies, and areas for improvement Develop predictive maintenance and anomaly detection models Support susta...

Job description Some careers shine brighter than others. If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are looking for an Agentic AI Developer (5+ years experience) to design, build, and optimize autonomous AI agents that can reason, plan, and take actions independently in complex environments. The ideal candidate will have experience with LLM-based agents, Reinforcement Learning (RL), event-driven architectures, and multi-agent systems. You will work on next...

Description Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future! Must be available to work on-site at ou...

So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space At NICE Actimize, we recognize th...

Key Responsibilities Machine learning model development and optimization Advanced analytics and statistical modeling Predictive analytics development A/B testing framework implementation Performance analytics and reporting Required Technical Skills Python and SQL programming Machine learning algorithms and frameworks Statistical modeling and optimization Data visualization (Tableau, Power BI, Amazon QuickSight) A/B testing and experimentation frameworks AWS analytics services (SageMaker, Athena) Required Experience 4-6 years in data science with analytics focus Strong analytical and statistical modeling skills Python, SQL, and machine learning expertise Experience with optimization algorithm...

As an MLOps Engineer, you will be responsible for building and optimizing our machine learning infrastructure. You will leverage AWS services, containerization, and automation to streamline the deployment and monitoring of ML models. Your expertise in MLOps best practices, combined with your experience in managing large ML operations, will ensure our models are effectively deployed, managed, and maintained in production environments. Responsibilities: Machine Learning Operations (MLOps) & Deployment: Build, deploy, and manage ML models in production using AWS SageMaker, AWS Lambda, and other relevant AWS services. Develop automated pipelines for model training, validation, deployment, and mo...

Role Overview: You will be leading the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. Your role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining architecture for secure, ethical, and performant AI systems. Key Responsibilities: - Establish and own the Generative AI Stack, including LLMs and RAG systems - Lead LLM development, training, and optimization - Design and enforce enterprise-level data architecture and governance strategy - Direct the implementation of LLMOps and MLOps practices for seamless deploym...

Hiring for AI Engineer for one of US based client.

Net AI Lead/Architect Job location: Kochi Budget: 30-40L (leads/architects, based on role and experience) Experience- 10+yrs Candidates should be good to communicate and presentable. Stable profiles/ no job hoppers. We are seeking a highly skilled and visionary .NET AI Lead/ Architect to lead the design, development, and integration of AI-powered solutions within our enterprise .NET applications. This role requires a deep understanding of .NET architecture and hands-on experience in integrating artificial intelligence and machine learning models into scalable, secure, and performant applications. Key Responsibilities Design/Architect end-to-end .NET solutions with integrated AI/ML components...

About the Project We are seeking a highly skilled and pragmatic Junior AI/ML Engineer to join the team building a Stealth Prop-tech startup, a groundbreaking digital real estate platform in Dubai. This is a complex initiative to build a comprehensive ecosystem integrating long-term sales, short-term stays, and advanced technologies including AI/ML, data analytics, Web3/blockchain, and conversational AI. You will be responsible for operationalizing the machine learning models that power our most innovative features, ensuring they are scalable, reliable, and performant. This is a crucial engineering role in a high-impact project, offering the chance to build the production infrastructure for c...