253 Ai Engineer Jobs

Project Role : Custom Software Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, your typical day will involve analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement tasks, ensuring that the applications function optimally and meet client requirements. C...

Project Role : Custom Software Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring...

Role Description: Amgen is seeking a n Associate Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply technical expertise from data ingestion to model deployment to scale forecasting models across R&D, Manufacturing, and Commercial for critical needs . You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand . The Associate Data Scientist should be familiar with moving models from development to production and have a good sense for tracking and updating model performance. Roles & Responsibilities: Integ ral part of a high performing team of data scientists and engineers look...

Job Summary: We are seeking an experienced AI Application Developer designs our Customer Automations AI project. Resource to have experience build,, deploys, and maintains AI-powered solutions on the Microsoft Azure platform. The role involves leveraging various Azure AI services, collaborating with cross-functional teams, and ensuring the scalability, security, and performance of applications. Key Responsibilities AI Solution Development : Design, build, and deploy end-to-end intelligent applications and AI agents using Azure AI services, such as Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (for vision, speech, and language), and Azure AI Search. Integration : Inte...

Associate Director - AI/ML Engineering What you will do We are seeking a Associate Director of ML / AI Engineering to lead Amgen Indias AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering ...

As a Staff Software Engineer, you will own the technical roadmap, serve as the primary technical SME, and collaborate across IT, security, and business teams to deliver secure, compliant, and scalable AI-driven applications. This role is ideal for a highly skilled engineer passionate about building innovative business solutions using Microsoft Power Platform. You will leverage tools like Power Apps, Power Automate, Co-pilot Studio, and Dataverse to design and deliver scalable, secure, and user-friendly applications that solve complex, real-world problems. Were looking for someone with strong engineering fundamentals, a deep understanding of low-code architecture, and the ability to integrate...

Role Description: We are seeking a Principal AI Platform Architect Amgens most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor modelsclassical ML, deep learning and LLMssecurely and cost-effectively. Acting as a player-coach, you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade ...

Amgen is seeking a Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply deep technical expertise from data ingestion to model deployment to scale forecasting models across R&D, Manufacturing, and Commercial for critical needs . You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand . The Data Scientist should be well versed in moving models from development to production and have a good sense for tracking and updating model performance. Also, you will distill complicated technical work to understandable and actionable outputs for key stakeholders. Roles & Responsibilities:...

Equinix is seeking a highly motivated Senior Software Engineer with a strong focus on automation to join our Bangalore office. In this role, you will design, build, and launch scalable software solutions that meet customer requirements using a state-of-the-art technology stack and best engineering practices. You will be responsible for building critical applications and features at a global scale, delivering a world-class experience for the Equinix procurement function. As a Senior Software Engineer, you will own the technical roadmap, serve as the primary technical SME, and collaborate across IT, security, and business teams to deliver secure, compliant, and scalable AI-driven applications....

What Youll Do: Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure hig...

As part of a global AI engineering team spanning the US and India, youll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta. What you will do: Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails. Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency. Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents. Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterpris...

We are seeking a skilled and forward-thinking Email Engineer with deep expertise in enterprise email infrastructure and a solid understanding of AI tools and capabilities This role requires a deep understanding of Microsoft Exchange (both on-prem and online, email security tools, Outlook and experience supporting large Microsoft Exchange environments. The ideal candidate will also be AI-educated, capable of leveraging AI tools to enhance productivity and lead efforts to implement AI-driven capabilities within the email service domain. This position MUST be flexible to work during US business hours (8am - 5pm CST) Primary Responsibilities: Administer and support Microsoft Exchange (On-Prem an...

Roles and Responsibility Design, develop, and implement artificial intelligence and machine learning models using Microsoft Dynamics 365. Collaborate with cross-functional teams to identify business problems and develop solutions using AI and ML. Develop and maintain large-scale data pipelines and architectures. Work closely with stakeholders to understand business requirements and provide technical guidance on AI/ML applications. Stay up-to-date with industry trends and emerging technologies in AI/ML. Job Requirements Strong understanding of software development principles, patterns, and practices. Experience with Microsoft Dynamics 365 platform and its various features. Knowledge of AI/ML ...

We are seeking an AI Solutions Engineer to build and configure AI agents using LLMs and RAG workflows. You will work on prompt optimization, conduct demos, and support client implementations while collaborating with cross-functional teams in an agile environment. Key Responsibilities Build and configure AI agents using LLMs and RAG workflows, writing and testing prompts for optimal performance. Maintain task trackers, prepare technical documentation, and conduct product demos for stakeholders. Support client calls and participate in agile scrums while performing data validation using basic SQL and Python. Required Skills LLM platforms, prompt engineering, basic RAG/vector databases, SQL/Pyth...

Job Summary: We are seeking an experienced AI Application Developer designs our Customer Automations AI project. Resource to have experience build,, deploys, and maintains AI-powered solutions on the Microsoft Azure platform. The role involves leveraging various Azure AI services, collaborating with cross-functional teams, and ensuring the scalability, security, and performance of applications. Key Responsibilities AI Solution Development : Design, build, and deploy end-to-end intelligent applications and AI agents using Azure AI services, such as Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (for vision, speech, and language), and Azure AI Search. Integration : Inte...

Strong Python programming skills. Experience in workflow orchestration using Apache Airflow. Experience in productionizing machine learning models in Domino run-time environment. Experience in building data pipelines using Python and PySpark. Strong SQL skills and experience in extracting data from different databases (Hive, SnowFlake, etc.), performing data transformation, etc. Preferable experience working with Hadoop ecosystem - HDFS, Hive. Experience working with a job scheduler, preferably Control-M. Experience with Unix-based command line interface and Bash scripts. Experience in developing and querying APIs - Restful, OpenAPI, etc. Strong understanding of DevOps and CI/CD principles; ...

Responsibilities Design, develop, and deploy AI and Generative AI, Machine Learning based solutions. Additional Details Job Function: Technology Role: Analyst Desired Skills: AI & Gen AI - Products & Tools, Artificial Intelligence, Azure, DevOps Qualifications: Bachelor of Engineering

URGENT HIRING || Ai Engineer LOC- BGLR,HYD,PUNE EXP-5-10Yrs CTC- 35LPA NP-Imm-15 days SHIFTS- 24*7 Shifts SKILLS- Gen Ai,Python,Node.JS,C#,HTML,Javascript,ScikitLearn,Tensorflow,Putorch,Keras,Pandas Drop your CV's at rashibimaginators@gmail.com Required Candidate profile IBM,AWS,Azure,NLTK,OpenCV,LangChain,,HuggingFace,Flas,DJango,Doker,Kubernetes,CI/CD,DeveOps

Work Flexibility : Hybrid What You Will Do: Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment. Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks. Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep). Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow. Implement best practices in model versioning, model registry, experiment tracking, and artifact management. Ensure security, compliance, and cost optimization of ML solutions deployed on ...

Generative AI / LLM Engineer (AWS Bedrock + LangChain/LangGraph) Location: Chennai / Bangalore / Hyderabad / Pune / Experience: 5+ years We are looking for a Generative AI Engineer with strong hands-on experience in LLMs, RAG, LangChain/LangGraph, and AWS Bedrock . You will build end-to-end GenAI applications , integrate models like Claude/GPT , and work on scalable AWS-based AI architectures. Must-Have Skills LLMs, Generative AI AWS Bedrock (Mandatory) LangChain / LangGraph RAG pipelines, vector databases Python Model integrations (Claude / GPT / Llama) Good to Have AWS cloud & infra background Palantir Foundry experience Keywords: Generative AI, LLM, Bedrock, LangChain, LangGraph, RAG, Cla...

Generative AI / LLM Engineer (AWS Bedrock + LangChain/LangGraph) Location: Chennai / Bangalore / Hyderabad / Pune / Experience: 5+ years We are looking for a Generative AI Engineer with strong hands-on experience in LLMs, RAG, LangChain/LangGraph, and AWS Bedrock . You will build end-to-end GenAI applications , integrate models like Claude/GPT , and work on scalable AWS-based AI architectures. Must-Have Skills LLMs, Generative AI AWS Bedrock (Mandatory) LangChain / LangGraph RAG pipelines, vector databases Python Model integrations (Claude / GPT / Llama) Good to Have AWS cloud & infra background Palantir Foundry experience Keywords: Generative AI, LLM, Bedrock, LangChain, LangGraph, RAG, Cla...

The AI Engineer builds production-grade AI capabilities that augment our internal products and data platforms. Youll deliver vector pipelines, RAG services , and agentic automations using Python, FastAPI, and cloud-native infrastructure , integrating with Snowflake and PostgreSQL where appropriate. Key Responsibilities Implement vectorization pipelines and Retrieval-Augmented Generation (RAG) endpoints; integrate PGVector or equivalent. Build AI microservices with Python, FastAPI, Pydantic, and SQLAlchemy /SQLModel ; define robust REST APIs. Apply Model Context Protocol (MCP) and agentic frameworks (LangGraph, CrewAI, Autogen) where suitable. Establish CI/CD with GitHub Actions ; deploy via ...

About The Role About The Role : Job titleAI Engineer LocationBangalore Experience9-12 years We are seeking a versatile and innovative AI Engineer to join our team in building intelligent, GPT-powered applications and systems. This role involves designing and implementing AI-driven solutions across the stack—from model integration and data processing to user-facing features. The ideal candidate is passionate about artificial intelligence, has hands-on experience with modern AI tools and platforms, and thrives in a collaborative, fast-paced environment. Key Responsibilities:Design, develop, and deploy AI-powered applications using GPT models and other LLMs.Integrate AI capabilities into web an...

YOUR IMPACT We are seeking an accomplished Principal AI Engineer to lead the architecture, framework development, and production deployment of next-generation GenAI systems within enterprise-scale environments. This role demands deep expertise in LLM orchestration, multi-agent systems, and Retrieval-Augmented Generation (RAG) and Agentic workflows. You will architect reusable AI frameworks , define enterprise-grade standards , and guide engineering teams in delivering scalable, secure, and contextually intelligent AI solutions that power critical business functions globally. What The Role Offers Lead the next generation of enterprise AI engineering , defining frameworks used across global bu...

Key Responsibilities 1. Course Design & Delivery Build course content aligned to syllabus across 6 modules: Module 1: GenAI foundations, neural networks, tokenization, transformers, diffusion, ethics, safety. Module 2: LLM architecture, attention, pretraining, fine-tuning (LoRA/QLoRA/PEFT), prompt engineering & guardrails. Module 3: RAG architecture, embeddings, vector DBs (Pinecone/Weaviate/Chroma), retrieval strategies, Kendra overview. Module 4: Agent building using LangChain, ReAct, tools, APIs, agent evaluation & debugging. Module 5: Advanced GenAI: AWS Bedrock, Titan, CLIP/BLIP, diffusion workflows, cost/latency optimization. Module 6: Capstone planning, evaluation, deployment, MLOps f...