5241 Sagemaker Jobs - Page 13

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Job Title : AI/ML Engineer Key Skills : Ai/Ml, Python, LLM , fine-tuning, Open AI, Hugging Face, RAG Job Locations : Hyderabad Experience : 6 - 8 Education Qualification : Any Graduation Work Mode : Hybrid Employment Type : Contract Notice Period : Immediate - 10 Da...

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Job Title : AI/ML Engineer Key Skills : Ai/Ml, Python, LLM , fine-tuning, Open AI, Hugging Face, RAG Job Locations : Hyderabad Experience : 6 - 8 Education Qualification : Any Graduation Work Mode : Hybrid Employment Type : Contract Notice Period : Immediate - 10 Da...

As an AI/ML Engineer at Automation Anywhere, you will play a crucial role in optimizing cloud infrastructure management and operational efficiency through the design, development, and deployment of machine learning models and AI algorithms. Your responsibilities will include: - Designing, developing, and deploying AI/ML models to automate cloud infrastructure, monitoring, fault detection, and predictive maintenance. - Collaborating with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to integrate AI/ML solutions into cloud orchestration and management platforms. - Building scalable data pipelines and workflows using cloud-native services for real-time and batch ML model trai...

As a highly skilled Generative AI Solution Architect, your role involves designing, architecting, and deploying scalable AI-driven solutions that leverage generative models, Small Language Models (SLMs), and autonomous agents to revolutionize operations in various industrial sectors. Key Responsibilities: - Lead the end-to-end design and deployment of generative AI systems using SLMs integrated with Agentic AI workflows in complex industrial settings. - Select and fine-tune Small Language Models for specific tasks such as predictive analytics, operational assistance, and workflow automation, ensuring low latency, reduced cost, privacy, and edge deployment. - Architect multi-agent systems whe...

Role Overview: As an AI/Machine Learning Engineer at Siemens Energy, you will be responsible for collaborating with multi-functional teams to design, develop, and maintain robust machine learning models and workflows. Your role will involve transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to provide seamless user experiences and enhanced functionality. Key Responsibilities: - Create end-to-end workflows for the training and inference pipeline of the machine learning models. - Design, develop, and implement multi-step RAG (Retrieval-Augmented Generation), agentic, or tool-augmented workflows using ...

As a Data Scientist at RBHU ETG Pvt. Ltd., you will be part of a dynamic team in Navi Mumbai, where your contributions will play a key role in solving complex business problems using advanced analytics and machine learning techniques. Your responsibilities will include: - Analyzing large, varied datasets to extract actionable insights and support strategic decision-making. - Designing, developing, and deploying machine learning models with a focus on scalability and production-grade performance. - Performing feature engineering, data cleaning, preprocessing, and exploratory data analysis. - Collaborating closely with product, engineering, business, and operations teams to understand business...

As a Technical Lead AI, your role involves driving the design, development, and deployment of AI-driven solutions across multiple product lines. You will collaborate with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure the successful integration of AI capabilities into business applications. Key Responsibilities: - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product and business stakeholders to define AI strategies aligned with organizational goals. - Architect and optimize data pipelines to ensure high-quality, scalable, and reliable input for AI/ML ...

Role Overview: As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a key member of an agile team, responsible for designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals. Key Responsibilities: - Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. - Create se...

As an experienced AI Data Analyst with 7+ years of professional experience, you will be responsible for working on cutting-edge AI solutions, including vector-based search and data-driven business insights. Your key responsibilities will include: - Performing data exploration, profiling, and cleaning across large datasets. - Designing, implementing, and evaluating machine learning and AI models for business problems. - Leveraging LLM APIs, foundation models, and vector databases to power AI-driven analysis. - Building end-to-end ML workflows from data preprocessing to deployment. - Developing visualizations and dashboards for internal reports and presentations. - Analyzing and interpreting m...

As a candidate with 5+ years of experience in AI/ML, you should have a strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models such as Transformers, self-attention, mixture of experts, and embeddings. Your key responsibilities in this role would include: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience with model fine-tuning, data pre-processing, and Python programming, with proficiency in ML frameworks like PyTorch, TensorFlow,...

Role Overview: As a Machine Learning Engineer at Merkle, your primary responsibility will be to lead the collaboration with ML Engineers and DevOps Engineers to formulate AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment. Key Responsibilities: - Model fine-tuning: Utilize open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to enhance model performance - Model deployment and maintenance: Deploy and manage Large Language Models (LLMs) on cloud platforms - Data curation and preparation: Curate and prepare training data, monitor data quality, and transform, aggregate, ...

Data / ETL Architect Experience: 14+ years Skills : Databricks, ETL, Pyspark, Python, Presales Requirements Minimum eight years of relevant experience as a data architect or data engineer building large-scale data solutions. P&C domain experience a must. Bachelor’s degree in engineering, Information Technology, Computer Science, or a related field. Experience in architecting and large data modernization, data migration, data warehousing – experience with cloud-based data platforms (like Snowflake). Experience with defining and operationalizing data strategy, data governance, data lineage and quality standards. Extensive knowledge of data engineering, data integration and data management conc...

Must Have Data Science in Test (AI/ML/Testing)R language experience is a must Ability to learn new AI/ML tools and use them effectively Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Demonstrated experience data retrieval from various SDLC systems and analytic reporting databases. Familiarity with databases and database query languages such as MySQL, Access, and SQL. Experience with Python and other programming languages. Ability to interface effectively with client and work constructively on a team. Excellent verbal and written communications skills. Exp...

Company Description Generative AI solutions are reshaping how we work, and AI Agents are the future. Data-Hat AI assists Enterprises in navigating the AI landscape and building profitable and scalable Enterprise AI solutions. As transformation leaders implore the AI landscape, they seek experts to assist in developing solutions and building strategies. And that’s where Data-Hat AI comes in! Guided by an industry veteran, Kshitij Kumar (KK), who has over 2 decades of experience in introducing and implementing Data and AI solutions in Large Enterprises in the US, UK and Europe; a global team of AI and ML experts design Enterprise level AI, GenAI and AI Agent solutions. Overview DataHat AI is h...

DESCRIPTION We are seeking a strategic Partner Development Specialist (PDS) to lead and scale AWS’s AI/ML and Generative AI partner ecosystem across key markets. This role demands a seasoned professional who can architect partner strategies, drive multi-million dollar revenue opportunities, and establish AWS as the definitive cloud platform for AI/ML workloads through strategic partnership development. The ideal candidate will combine deep technical expertise in AI/ML with proven executive-level relationship management skills, capable of influencing C-suite decisions and orchestrating complex, multi-stakeholder initiatives that deliver measurable business impact. Key job responsibilities Str...

DESCRIPTION We are seeking a strategic Partner Development Specialist (PDS) to lead and scale AWS’s AI/ML and Generative AI partner ecosystem across key markets. This role demands a seasoned professional who can architect partner strategies, drive multi-million dollar revenue opportunities, and establish AWS as the definitive cloud platform for AI/ML workloads through strategic partnership development. The ideal candidate will combine deep technical expertise in AI/ML with proven executive-level relationship management skills, capable of influencing C-suite decisions and orchestrating complex, multi-stakeholder initiatives that deliver measurable business impact. Key job responsibilities Str...

DESCRIPTION We are seeking a strategic Partner Development Specialist (PDS) to lead and scale AWS’s AI/ML and Generative AI partner ecosystem across key markets. This role demands a seasoned professional who can architect partner strategies, drive multi-million dollar revenue opportunities, and establish AWS as the definitive cloud platform for AI/ML workloads through strategic partnership development. The ideal candidate will combine deep technical expertise in AI/ML with proven executive-level relationship management skills, capable of influencing C-suite decisions and orchestrating complex, multi-stakeholder initiatives that deliver measurable business impact. Key job responsibilities Str...

Role Description Role Proficiency: Act under guidance of Lead II/Architect understands customer requirements and translate them into design of new DevOps (CI/CD) components. Capable of managing at least 1 Agile Team Outcomes: Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications Adapts existing DevOps solutions and creates own DevOps solutions for new contexts Codes debugs tests documents and communicates DevOps development stages/status of DevOps develop/support issues Select appropriate technical options for development such as reusing improving or reconfiguration of existing components Optimises efficiency cost and quality of Dev...

As a Gen AI QA Engineering Lead at Barclays, you play a crucial role in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions. You will lead QA efforts across multiple AI PODs, collaborating with various teams to build robust testing frameworks and automation pipelines. Your key responsibilities include: - Designing and implementing QA frameworks for GenAI models, focusing on prompt validation, output consistency, hallucination detection, and bias mitigation. - Building automated test suites for GenAI pipelines using Python, PyTest, and tools like MLflow, SageMaker, or similar. - Integrating QA checks into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Gi...

You have 5 years of hands-on experience in building and deploying AI solutions, preferably in fintech or financial services. Your strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc., will be beneficial for this role. Additionally, your experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications will be highly valued. Key Responsibilities: - Solid understanding of MLOps concepts such as model versioning, deployment, and monitoring. - Proficient in working with cloud platforms (AWS/GCP/Azure) and ML services like SageMaker, Vertex AI. - Knowledge of Docker, Kubernetes, or other con...

Job Title: AI/ML Builder – Salesforce + Generative AI Experience: 5–7 Years Location: Remote Work Timings: 11:00 AM – 9:00 PM IST Employment Type: Full-Time Job Summary: We are seeking a highly skilled AI/ML Builder with strong expertise in Salesforce and Generative AI technologies. The ideal candidate will design and implement intelligent, secure, and scalable AI-driven solutions using Einstein, Einstein GPT, LLMs, vector databases, and external AI/ML services . This role involves building advanced workflows, personalized recommendations, intelligent automation, RAG pipelines, and custom GenAI-powered bots within the Salesforce ecosystem. Key Responsibilities: Salesforce Development & Custo...

As an AI Application Developer, you will leverage your (3+) years of experience to fine-tune pre-existing models for improved performance and accuracy. You should have hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks, along with familiarity with APIs like OpenAI or Vertex AI. Your expertise in NLP tools and libraries such as NLTK, SpaCy, GPT, and BERT will be valuable in implementing frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Key Responsibilities: - Evaluate and analyze RAG solution and utilize the best-in-class LLM to define customer experi...

Sagemaker, Python, LLM A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adher...

Required Information Details 1 Role AWS Database Engineer 2 Required Technical Skill Set AWS Desired Competencies (Technical/Behavioral Competency) Must-Have Should have expertise in creating data warehouses in AWS utilizing the following tools: EC2, S3, EMR, Athena, Sagemaker, Aurora and Snowflake., Kafka, Kinesis, Glue, Lambda, DMS, AppFlow, PowerBI Advanced development experience in cloud technologies such as AWS Aurora/RDS/S3, Lambda, JSON, Python Proficiency in scripting, querying, and/or analytics tools: Linux, python, SQL (already covered in description) Analyze, re-architect and re-platform on premise / cloud data sources to AWS platform using AWS Glue. Design, build and automate AWS...

Job Description: At EY, you will have the opportunity to build a career unique to you, with global scale, support, inclusive culture, and technology to help you become the best version of yourself. Your unique voice and perspective are essential in contributing to making EY even better. Join the team to create an exceptional experience for yourself and a better working world for all. Role Overview: - Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing. - Troubleshoots software and processes for data consistency and integrity. Integrates data from various sources to generate insights for business partner...