499 Aws Sagemaker Jobs

Role & responsibilities Collaborate with business stakeholders to understand requirements and translate them into ML problem statements. Develop and deploy machine learning and deep learning models using frameworks such as TensorFlow , PyTorch , or Keras . Build end-to-end ML pipelines from data ingestion, preprocessing, feature engineering to training and deployment. Work with structured and unstructured data , applying advanced data preprocessing and augmentation techniques. Integrate ML models into scalable backend systems or APIs. Monitor model performance and design model evaluation/operationalization metrics . Deployment of models using cloud platforms such as AWS Sagemaker , Azure ML ...

Job Description Role Summary: Analytics Lead is responsible for designing, building, and maintaining the infrastructure for data generation, storage, and retrieval. Also managing a team of data scientists, planning and executing data projects, and developing analytical models Roles and Responsibility: Manage a team of data scientists and data engineers Plan and prioritize data projects to align with business goals. Data Pipeline Development: Create and manage data pipelines to ensure efficient data flow and processing 1. Database Management: Design, implement, and optimize databases for storing large volumes of data 2. Data Integration: Integrate data from various sources and ensure its qual...

As a Senior Business Insight Manager in AI & Data Science, your role will involve leading enterprise-wide transformation programs within global BPO operations. Your responsibilities will include: - Leading strategic transformation programs focused on cost reduction, process efficiency, and quality improvement. - Aligning transformation initiatives with strategic business goals to drive measurable outcomes. - Identifying and championing use cases for AI technologies across key functions such as quality assurance, workforce management, fraud detection, and content moderation. - Collaborating with internal teams to develop AI/ML solutions and production-ready deployments. - Leveraging Lean Six ...

Role Overview: At Elimai.ai, we are seeking a qualified Software Engineer with ML hands-on experience to join as an ML Backend Engineer. In this full-time hybrid role based in Chennai, you will have the flexibility to work remotely part of the time. As an ML Backend Engineer, you will be responsible for developing and maintaining backend architecture, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements. Your role will involve building robust backend systems & APIs to deploy and scale ML solutions, working with cloud-native infrastructure, contributing to end-to-end product development, and col...

As an AI/ML Architect at our company, you will be responsible for designing and implementing end-to-end AI architectures across various machine learning domains such as computer vision, NLP, recommendation systems, and predictive modeling. Your role will involve guiding the implementation of AI solutions to align with business objectives and ensuring scalability, security, and performance. Key Responsibilities: - Define and oversee the overall AI/ML architecture for projects, ensuring scalability, security, and performance. - Design, prototype, and supervise the development of AI/ML models in areas such as vision, NLP, forecasting, and generative AI. - Collaborate with engineering teams to i...

Req ID: 332430 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 AI Security Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Description AI Security Engineer Shared Security Services Engineering An AI Security Engineer contributes to the development of horizontal enterprise-level security solutions built by the Shared Security Services Engineering Team. As a member of the team, you will be responsible for the development, deployment, and maintenance of software security solutions to protect A...

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud nat...

Role & responsibilities Roles: Senior Python Developer Design & build backend components of MLOps platform on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. Knowledge, Skills and Experience Python Programming AWS Services Flask Spark Programming knowledge (Pyspark/Scala) Async Programming boto3 Primary Skills Must have 5 to 9 years of working experience in Python programming with flask, FastAPI Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc. Experience with concurrent programming designs such as AsyncIO. Experience with unit and functional testing...

Job Title: Senior AI/ML Engineer Location: Pune (In-Person) Type: Full-time Experience: 2-7 Years About the Role Were looking for a passionate Senior AI/ML Engineer with 2–7 years of hands-on experience in building intelligent, production-grade systems. You’ll work on cutting-edge problems using Agentic AI architectures, Genetic Algorithms, and LLMs to build autonomous and intelligent solutions that solve real-world challenges. This role is ideal for someone who thrives in fast-paced, research-driven environments and enjoys working at the frontier of machine learning and AI automation. Note: Candidates are expected to have real-time projects or working prototypes that demonstrate their skill...

Role Key Responsibilities - Manage and automate AWS infrastructure using tools like Terraform/CDK/CloudFormation - Set up CI/CD pipelines for AI/ML model training and inference workflows - Optimize GPU and EC2 usage for high-performance computing workloads - Monitor infrastructure health, cost, and security - Collaborate with AI/ML teams to deploy models using SageMaker, ECS, EKS, or Lambda - Manage IAM roles, VPCs, networking, and data storage (S3, EFS, FSx) Required Skills - 3+ years of AWS DevOps experience - Proficiency in infrastructure-as-code tools - Hands-on with Docker, GitHub Actions, Jenkins, or similar - Experience managing GPU instances and AI pipelines (e.g., SageMaker, Deep Le...

Role Overview: You will be joining HCL Software as a Lead Python Developer with a focus on Data Science and AI/ML to contribute to the development of AI-driven Marketing Campaigns using the Unica+ Marketing Platform. Your role will involve leveraging your strong Python skills and experience in data science and machine learning to deliver precision and high-performance marketing campaigns across various channels. Key Responsibilities: - Proficient in Python programming with expertise in using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. - Strong understanding of statistical analysis and modeling, including descriptive statistics,...

An AI Security Engineer contributes to the development of horizontal enterprise-level security solutions built by the Shared Security Services Engineering Team.As a member of the team, you will be responsible for the development, deployment, and maintenance of software security solutions to protect AI resources in the enterprise.Key Responsibilities and Duties Collaborate with AI/ML and Security architecture teams to understand use case requirements, platform security posture and develop software solutions to protect AI applications Design and implement robust security measures to protect AI models from adversarial attacks, prompt injection, and jailbreaking attempts Develop data protection ...

Data Scientist Req number: R6198 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Data Scientist ready to take us to the next le...

We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem...

Strong background in GPU architecture (NVIDIA, AMD) and HPC systems. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod). Required Candidate profile Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers.Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).

AI/ML projects LLMs/SLMs, MCP architecture,RAG pipelines,Vector DBs,Agentic AI workflows and automations Python, R TensorFlow, PyTorch, Keras, Scikit-learn, & cloud-based AI services AWS SageMaker, Azure ML send cv - sairamglobal.hr@gmail.com Required Candidate profile Education 15 years full time regular study Notice period : 0 to 45 days Good Communication skills required Loc: Bangalore, Hyderabad, Chennai Exp Docs should be clear with PF and Bank Statement

Description and Requirements Key Responsibilities : Lead end-to-end transitions of AI PoCs into production environments, managing the entire process from testing to final deployment. Configure, install, and validate AI systems using key platforms, including VMware ESXi and vSphere for server virtualization, Linux (Ubuntu/RHEL) and Windows Server for operating system integration, Docker and Kubernetes for containerization and orchestration of AI workloads. Conduct comprehensive performance benchmarking and AI inferencing tests to validate system performance in production. Optimize deployed AI models for accuracy, performance, and scalability to ensure they meet production-level requirements a...

Role Overview: You will be responsible for architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions. Your role will involve designing scalable data architectures with Snowflake, integrating cloud technologies such as AWS, Azure, GCP, and ETL/ELT tools like DBT. Additionally, you will guide teams in proper data modeling, transformation, security, and performance optimization. Key Responsibilities: - Architect and deliver highly scalable, distributed, cloud-based enterprise data solutions - Design scalable data architectures with Snowflake and integrate cloud technologies like AWS, Azure, GCP, and ETL/ELT tools such as DBT - Guide teams in proper data mod...

Unlock the future of intelligent automation with a visionary AI Developer who excels in crafting agentic AI applications that effortlessly connect with structured databases. If you're passionate about pushing technological boundaries, possess deep expertise in LLMs, RAG, and orchestration frameworks, and thrive on transforming complex business needs into scalable, AI-driven solutions, this is your opportunity to make a transformative impact. Key Responsibilities: Design and develop agentic bots powered by Large Language Models (LLMs) to interact with structured databases (SQL, Snowflake, etc.). Integrate AI agents with external tools and data sources using Model Context Protocol (MCP). Imple...

Key Responsibilities 1. Strategic Transformation Leadership Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations. Align transformation initiatives with strategic business objectives , driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.). 2. AI/ML-Driven Innovation Identify and lead use cases for machine learning, generative AI, NLP, predictive analytics, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.). Partner with internal data science, product, and engineering teams t...

**Job Title:** Architect - Architect **Company Name:** Happiest Minds **Location:** Bangalore **Job Type:** Full-time **Job Description:** Happiest Minds is seeking an experienced Architect with a strong background in Machine Learning and Artificial Intelligence to join our dynamic team. As an architect, you will be responsible for designing innovative solutions that drive our client’s success and enhance our technological capabilities. This role is ideal for a seasoned professional who is passionate about leveraging emerging technologies to solve complex problems. **Key Responsibilities:** - Design and implement scalable and robust architectures for Machine Learning and Artificial Intellige...

Key Responsibilities: Build and maintain ML pipelines for training, validation, deployment, and monitoring Implement CI/CD for ML artifacts, including data versioning and model registries Monitor model performance and drift; trigger retraining workflows as needed Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services Collaborate with data, ML, and ops teams to deliver frictionless MLOps lifecycle Required Skills: Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) Proficiency in Python, Bash, Docker, and Kubernetes Familiarity with cloud infra (AWS/GCP/Azure) and IaC (Terraform, CloudFormation) Experience in model monitoring, logging, and...

Job Duties: AI Security Engineer contributes to the development of horizontal enterprise level security solutions built by Shared Security Services Engineering Team.As a member of the team, you will be responsible for development, deployment, and maintenance of software security solutions to protect AI resources in the enterprise.Key Responsibilities and Duties Collaborate with AI/ML and Security architecture teams to understand use case requirements, platform security posture and develop software solutions to protect AI applications Design and implement robust security measures to protect AI models from adversarial attacks, prompt injection, and jailbreaking attempts Develop data protection...

Job Application Link:https://app.fabrichq.ai/jobs/865d4815-c031-4216-8e54-462d9b57ea23 Job Summary: The Data Science Architect role focuses on designing and implementing complex Generative AI solutions using AWS technologies. The position requires expertise in Retrieval Augmented Generation (RAG), GraphRAG methodologies, and agentic AI systems. The architect will develop advanced AI architectures incorporating state-of-the-art GenAI technologies while leveraging AWS Bedrock and SageMaker. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retr...

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...