974 Aws Sagemaker Jobs

We're excited to announce a Walk-in Drive for talented professionals in Lead Generative AI at our Noida location-29th Nov 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Roles Hiring For: Lead Generative AI /Lead Agentic AI Lead GenerativeAI Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 29th Nov 2025(Saturday) We're looking for passionate and proven GenerativeAI Experts to join our dynamic team! 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,...

As an AI Incubator Data Scientist at Barclays, you will embark on a transformative journey to spearhead the evolution of the digital landscape and drive innovation and excellence. Your role will involve harnessing cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. You will have the opportunity to shape and lead projects within the AI incubator team, leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. The position emphasizes a design-led thinking approach with close collaboration with business stakeholders and a fail-fast mindset. You will work with extensive datasets spanning bill...

Job Summary We are looking for a talented and motivated ML Ops Engineer to provide technology leadership in building and maintaining robust machine learning operations (ML Ops) frameworks. This role will focus on enabling scalable, reliable, and efficient deployment of AI/ML models, ensuring seamless integration between Data Science and production systems. You will collaborate closely with Data Scientists, ML Engineers, and DevOps teams to operationalize cutting-edge machine learning solutions and optimize the end-to-end ML lifecycle. Job Requirements - Design, implement, and maintain ML Ops pipelines for model training, deployment, monitoring, and retraining. - Collaborate with Data Science...

Job Title: Terraform and AWS Cloud Engineer Job Overview: We are looking for a skilled and experienced Terraform and AWS Cloud Engineer to join our team. The ideal candidate will have a deep understanding of infrastructure-as-code (IaC) principles and hands-on experience using Terraform to provision and manage resources in AWS cloud environments. The Terraform and AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining infrastructure that is scalable, reliable, and aligned with best practices. Responsibilities: Infrastructure as Code (IaC): Design, implement, and maintain Infrastructure as Code using Terraform. Collaborate with development and operations teams...

Role Summary: Designs and implements machine learning models and algorithms to solve complex data problems. Responsibilities: Build and train ML models using structured and unstructured data. Optimize model performance and scalability. Collaborate with data scientists and software engineers. Qualifications: Bachelors or Master’s in Computer Science, AI, or related field. Experience with ML frameworks and libraries. Key Skills: Python, R TensorFlow, PyTorch, Scikit-learn Data preprocessing and feature engineering Model evaluation and deployment

Inviting applications for the role of Lead Consultant - MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/ GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably. You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines. Responsibilities Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps Lead the ...

Job Profile At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability. As part of the AI Technology group (70 people), we are seeking an ML engineer who can contribute to the development of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions. We look for someone who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of AI soft...

As an Enterprise Technology Architect, your role involves architecting complex end-to-end IT solutions across the enterprise, leveraging the latest technology and industry expertise to enhance products and experiences. Key Responsibilities: - Define AI/GenAI strategy across GIS, Oracle Construction, ERP, and digital twin platforms. - Govern multi-year programs with EPC/owner-operators. - Participate in and lead client/partner ecosystems. - Shape packaged offerings for capital project clients. Qualifications Required: - Proven delivery of AI/ML/GenAI/Agentic AI programs. - Hands-on experience with ML including time-series, anomaly detection, and predictive models. - Proficiency in deep learni...

As a Lead Data Scientist at our company, you will be spearheading our AI and Machine Learning initiatives. Your role will involve driving innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems. Your responsibilities will include overseeing model development, optimizing AI-driven solutions, mentoring junior team members, and collaborating with key stakeholders to align AI strategies with business goals. The ideal candidate should possess expertise in NLP, Large Language Models (LLMs), Generative AI, and MLOps to lead the development of scalable AI-driven solutions. **Responsibilities:** - Define and drive the AI/ML strategy aligned with business objectives. - L...

Ciklum is looking for a Principal AI Lead to join our team full-time in India. About the role: As a Principal AI Lead , become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Define and evolve Ciklum's AI Engineering strategy, frameworks and best practices across clients and internal initiatives Serve as the primary technical advisor to executive stakeholders (CTOs, CIOs, VPs of Engineering) on AI strategy and system architecture Drive the vision and roadmap for enterprise AI adoption, guiding teams on architecture, governance, and value realization Lead the design, development and deployment of advanced AI systems across Data Science and ...

We are hiring a Data Scientist with GenAI expertise to build, evaluate, and optimize AI/ML models, particularly focused on NLP, text classification, embeddings, and intent understanding. Responsibilities: Design and develop data preprocessing, feature extraction, and model training pipelines . Work with LLMs, transformers, embeddings , and vector search for intelligent automation. Build and fine-tune models using PEFT / LoRA / prompt tuning methods. Support integration of trained models into backend APIs. Conduct EDA, performance evaluation (Accuracy, F1, Precision, Recall), and model explainability. Collaborate with the AI Lead and DevOps for deployment and monitoring. Research and propose ...

We are seeking an experienced and skilled Senior Data & AI Engineer to join our team and assist in leading client-facing project delivery. In this role, you will be responsible for developing and deploying advanced machine learning models and AI solutions that drive business value and enable data-driven decision making for our customers. Additionally, you will play a crucial role in pre-sales activities, project scoping, and educating stakeholders on data science and machine learning concepts. Roles And Responsibilities Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases. Design, develop, and implement complex machine learning, large language and agentic mode...

We are seeking an experienced and skilled Senior Data & AI Engineer to join our team and assist in leading client-facing project delivery. In this role, you will be responsible for developing and deploying advanced machine learning models and AI solutions that drive business value and enable data-driven decision making for our customers. Additionally, you will play a crucial role in pre-sales activities, project scoping, and educating stakeholders on data science and machine learning concepts. Roles and Responsibilities: Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases. Design, develop, and implement complex machine learning, large language and agentic mod...

Job Summary Exp- 5+years NP-immediate Location-Hyderabad Mandate skills- ML concepts, NLP, Python, Langchain, AWS, Bedrock/Sagemaker, Vector databases, Applied AI . 5+ years of professional experience in full-stack or backend development, with at least 5 years of recent hands-on experience working with Python and AI/ML-powered applications. Strong understanding of ML/NLP concepts, especially in areas such as text classification, summarization, and conversational AI. Proficiency working with Langchain, AWS Bedrock, OpenAI APIs, Hugging Face, and Vector Databases (e.g., Pinecone, FAISS, Weaviate, etc.). ¢ Experience with AWS services (especially Lambda, S3, Bedrock, Transcribe) in a SaaS or cl...

As a Machine Learning & Generative AI Engineer, you will play a crucial role in designing, building, and deploying advanced ML and GenAI solutions. You will have the opportunity to work on cutting-edge AI technologies like LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG), and enterprise-scale ML systems. Your innovative thinking and technical expertise will be instrumental in delivering impactful AI solutions aligned with business needs. **Key Responsibilities:** - Design, build, and deploy end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Develop and optimize LLM-based solutions using Transformer arc...

As an AI Automation Architect for Customer Business Process Manager at EY, you will have the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Your role in the Supply Chain Technology group of the GDS consulting Team will be instrumental in the growth of a new service offering. You will collaborate closely with EY Partners and external clients to develop new business and drive initiatives in Customer and SC&O domains. **Key Responsibilities:** - Collaborate with EY Supply chain & Operations stakeholders and data engineering teams for high-quality data curation. - Design, dev...

Total CollectR (product of Total AI Systems Inc.) is on a mission to revolutionize debt collection with AI. We are looking for an Applied AI Engineer to design, build, and ship AI-powered features using modern large-language-model (LLM) technologies. You will work at the intersection of software engineering, machine learning, and product development , turning real business problems into reliable, measurable AI solutions. This role is hands-on: youll prototype quickly, build production-grade systems, evaluate model quality, and collaborate closely with product, data, design, and domain experts. What Youll Do AI Feature Development Build end-to-end LLM-powered applications (retrieval-augmented...

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Key Responsibilities: - Collaborate with EY Supply chain & Operations stakeholders and data engineering teams to enable high-quality data curation for model training and evaluation. - Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. - Implement solutions...

The Team: You will work closely with a world-class AI and ML team comprised of experts in AI and ML modeling, MLOps engineers, data science, and data engineering. Your contributions will be critical in engineering and developing solutions for ML operations, supporting S&Ps AI-driven transformation to drive value both internally and for our customers. This role presents a unique opportunity for ML/MLOps engineers to advance in their career journey. Role/Responsibilities and Impact: ML Engineer to architect, build, and deploy production-grade GenAI services and solutions. Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem applica...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior GenAI Engineer, you will lead the design, development, and deployment of sophisticated AI solutions that leverage both traditional machine learning and cutting-edge generative AI techniques. You will apply your deep expertise in ML engineering, large ...

Mission/Position Statement We are hiring for great (Senior) AI Engineer who are open to learning the tools we use and building the AI Platform at First American. What we are looking for Requirements are: list of 5 items 1. Candidate must have in-depth experience with at least one major cloud provider (AWS, GCP, Azure). AWS experience is optimal. 2. Experience with Real-World Application of AI such as document parsing (LLMs are optimal), recommendation engines, image classifications. 3. Worked with AI toolsets such as SageMaker, Vertex, Foundry or DataBricks. 4. Developed model deployment, experimentation and evaluation pipelines. 5. Experience presenting AI findings and use cases to leadersh...

Role : Gen AI Engineer Experience : 4 to 13 Years Relevant Experience : 2+ Years Location : Pan India Notice Period : Immediate to 90 days Mode of Interview - In-Person (29th November 2025) at Chennai Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictio...

Role : MLOPS Engineer Experience : 4 to 10 Years Relevant Experience : 2+ Years Location : Pan India Mode of Interview - In Person - Chennai Date : 29th November 2025 (Saturday) Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline DriftDetection, Data Drift, Model Drift ExperimentTracking 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. Proactively introduce a modern, agile and automated approach to Data Science. Con...

Role : Data Scientist AIML Experience : 4 to 13 Years Relevant Experience : 2+ Years Location : Pan India Notice Period : Immediate to 60 days Mode of Interview - In-Person (29th November 2025) Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries ...