271 Ai Engineer Jobs - Page 8

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...

Job Title: AI/ML Engineer Experience Required: 4 to 8 Years CONTRACTUAL JOB: 3 MONTHS Location: Pune (Work from Office) About the Role We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions. Key Responsibilities Design, build, and deploy scalable machine learning and AI models for real-world applications. Work closely with data scientists, engineers, and business stake...

Hello Candidates, Greetings from Hungry Bird IT Consulting Services Pvt. Ltd.! We're hiring a GenAI / ML Engineer for our client. Location: Remote Position: GenAI / ML Engineer Experience: 10-12 Years Location: Remote (India) Employment Type: Full-time About Our Client Our client is a leading AI-driven organization that builds cutting-edge, data-driven solutions empowering businesses to scale faster and smarter. They focus on real-world AI adoption, modern data platforms, and enterprise-grade generative AI applications. Join their team to help shape the future of intelligent automation and applied GenAI. Role Overview We are looking for a talented GenAI / ML Engineer for our client to help b...

Who You Are Youre good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python •Excellent problem-solving, analytical, and critical thinking skills •Communication and presentation skills, with the ability to convey complex data insights to both technical a...

Project description We are hiring an ML Ops Engineer to operationalize machine learning solutions across Digital Oilfield (DOF) platforms. This is a critical role ensuring that models move from development to robust, production-grade deployment with high availability, traceability, and security. The ideal candidate will be responsible for automating pipelines, managing model versions, integrating APIs, and monitoring ML system health across diverse operational environments. Oil & gas exposure is beneficial but not required; this is a technical engineering role with high ownership and cross-team collaboration. Responsibilities Develop and maintain ML pipelines for data preprocessing, training...

Project description We are seeking a skilled and domain-expert Machine Learning Engineer to develop and deploy data-driven solutions in the context of Digital Oilfield (DOF) systems. The ideal candidate will have a strong foundation in machine learning, model development, and data analytics, with the ability to apply these skills to subsurface and production engineering workflows. This is a hands-on technical role focused on building ML models that enhance forecasting, optimization, and operational decision-making across complex oilfield environments. Experience with agent-based or generative AI systems is a bonus, but not a requirement. Responsibilities Develop and maintain machine learning...

Project description We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systemscomprising task-specific autonomous tools governed by a master agentto support complex technical decision-making in industrial environments. This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines. Responsibilities Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical querie...

Job Description : - Should have come from a tech product company background - Python, Pytorch, langchain, AWS sagemaker, AWS Bedrock. - Project done on Github or Google drive.

Building scalable AI solutions with LLMs, RAG, embeddings & semantic search Deploying on Azure ML, AWS Sagemaker, GCP Vertex AI Integrating AI microservices via APIs & event-driven architectures Strong in Python, PyTorch, LangChain, Hugging Face, vector DBs NLP expertise: NER, summarization, classification, semantic search MLOps: CI/CD, monitoring, retraining, explainability Leading teams, mentoring engineers & driving Responsible AI

As an AI Engineer , you will design, build, and operate agentic AI systems end-to-end from concept to production. Youll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems. You will collaborate cross-functionally with product, ML, and design teamsbringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset. Minimum Qualifications Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics...

Role Overview: You will join the innovative team at Bubba.Ai as an AI/LLM Engineer, playing a crucial role in developing the AI-powered dispatch application. This application leverages a sophisticated voice interface and extensive backend email processing, aiming to redefine industry standards and provide owner-operators and small fleets with advanced tools for data-backed negotiation, intelligent routing, and faster booking. Key Responsibilities: - Design, develop, and implement end-to-end AI and Large Language Model (LLM) solutions for the voice-interfaced dispatch application. - Develop and fine-tune LLMs for tasks like natural language understanding, entity extraction, and sentiment anal...

We are seeking a Mid-Level AI Engineer with 3-8 years of hands-on experience in designing, developing, and deploying AI/ML models and solutions The ideal candidate will focus on building Proof of Concept (POC) applications that demonstrate the feasibility and business value of AI-driven solutions This role involves working with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, and leveraging Google Cloud Platform (GCP) tools including Vertex AI and Google Gemini for model training, deployment, and integration The candidate should possess strong Python programming skills, solid understanding of data preprocessing, feature engineering, and model optimization, and the a...

As an AI Engineer at Capgemini, you will play a crucial role in designing, testing, and deploying AI agents within Microsoft Copilot Studio. Your primary responsibility will be to embed these agents into Power Apps and integrate them with Power Automate flows to streamline workflows and automate tasks. Additionally, you will contribute to the development of custom connectors that extend the capabilities of these agents, enabling them to interact with diverse data sources and services. Your key responsibilities will include: - Designing, testing, and deploying AI agents within Microsoft Copilot Studio - Embedding AI agents into Power Apps and integrating them with Power Automate flows - Devel...

Role Overview: You should have at least 8 years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Your main responsibilities will involve working with Python and its relevant ML/data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. You should also have extensive experience with at least one major deep learning framework like TensorFlow, PyTorch, or Keras. A solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling is essential. Additionally, experience with cloud platforms such as...

Job Title: AI/ML Engineer Experience Required: 4 to 8 Years Location: Pune (Work from Office) About the Role We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions. Key Responsibilities Design, build, and deploy scalable machine learning and AI models for real-world applications. Work closely with data scientists, engineers, and business stakeholders to identify and de...

Role & responsibilities Were looking for a talented and driven AI Engineer to join a meaningful internal strategic initiative and also to contribute to solving complex AI/ML problems for our clients. You'll be working closely with senior leadership, including one of our founders, to help build an innovative enterprise platform for the organization. This platform will act as a digital twin of our existing systemsan intelligent bot/ Platform that provides real-time insights on what needs to be done and how to do it. If you're passionate about Generative AI, LLMs, and cutting-edge technology, and you enjoy building high-impact solutions, wed love to hear from you! As an AI Engineer on the Data ...

Lead the architecture and technical solutioning for GenAI -powered use cases in the insurance industry. Work closely with business teams to ideate, assess, and create use cases that demonstrate tangible value. Design end-to-end systems that incorporate GenAI components, APIs, and cloud infrastructure. Own and drive technical delivery, ensuring scalability, performance, and alignment with client goals. Collaborate with engineers, product managers, and QA to deliver production-grade solutions. Serve as the technical face to the client, supporting solution discussions and managing stakeholder expectations. Evaluate and select the right set of GenAI tools and platforms (e.g., OpenAI , LangChain ...

Hiring Python Developer to design, develop & optimize AI models. Work on evaluations, SFT, RLHF, dataset creation & model tuning. Contribute to scalable solutions, improve performance & collaborate with AI teams Required Candidate profile Python Developer with 3+ yrs exp, strong coding & analytical skills. Must know AI evals, model training, SFT/RLHF, data handling & problem solving Excellent English writing, attention to detail GitHub

We are looking for a skilled AI Engineer / Data Scientist with hands-on experience in OCR pipelines and Large Language Model (LLM) fine-tuning . The ideal candidate will work on developing, fine-tuning, and optimizing Vision-Language Models (VLMs) to extract structured information from scanned or image-based documents. You will collaborate closely with data scientists and backend engineers to build scalable, accurate, and production-ready AI pipelines . Key Responsibilities Fine-tune and adapt multimodal LLMs (e.g., Qwen-VL, LLaVA, or similar) for domain-specific document understanding. Design prompt templates and instruction sets to improve structured JSON output. Perform incremental and cr...

We are looking for a skilled AI Engineer / Data Scientist with hands-on experience in OCR pipelines and Large Language Model (LLM) fine-tuning . The ideal candidate will work on developing, fine-tuning, and optimizing Vision-Language Models (VLMs) to extract structured information from scanned or image-based documents. You will collaborate closely with data scientists and backend engineers to build scalable, accurate, and production-ready AI pipelines . Key Responsibilities Fine-tune and adapt multimodal LLMs (e.g., Qwen-VL, LLaVA, or similar) for domain-specific document understanding. Design prompt templates and instruction sets to improve structured JSON output. Perform incremental and cr...

Role: Senior Software Engineer Location : Navi Mumbai ( Ghansoli ) Work Timings: 2 PM to 11 PM Roles and Responsibilities Design & Development Architect and build AI-powered tools using LLMs (e.g., OpenAI, Claude, Mistral, etc.). Integrate and customize AI agents using frameworks like LangChain, CrewAI, or custom solutions. Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors. Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies. Prompt Engineering & Agentic Workflows Design advanced, modular prompt chains that incorporate memory, dynamic context injection,...

Greetings from BCT Consulting We are hiring for AI Architect Experience required: 10 to 19 Years Work Location: Bangalore Mod of Work: Work from Office/Hybrid Interview Mode: Virtual Role & responsibilities 10+ years in AI/ML engineering, with 2/3 years specifically in AI solution architecture and system design. Programming: Advanced proficiency in C# , Python , and AI frameworks such as TensorFlow , PyTorch . Tooling & Infra: Proficient in Azure OpenAI , Azure AI Foundry , custom model development pipelines, MLOps tools , Docker , Kubernetes , and distributed systems. Preferred candidate profile Design and develop interactive AI applications and services using C# and Python , ensuring produ...

As a highly experienced Computer Vision Specialist / AI Engineer, you will lead the design, development, and deployment of computer vision and AI-based systems. Your responsibilities will include architecting and implementing advanced vision-based algorithms and deep learning models, delivering real-time solutions for various applications such as facial recognition, motion detection, object detection, number plate recognition (ANPR), footfall counting, gender and age detection, behavioral analysis, and emotion recognition. Additionally, you will optimize AI/ML models for deployment on edge devices, cloud, or hybrid environments using tools like TensorRT, OpenVINO, or ONNX. Collaboration with...

Role Overview: As a passionate AI Engineer at CBH, a 65-year-old trusted brand in the fastener manufacturing industry, your role will involve leading the digital transformation of departments and developing intelligent, custom solutions for the organization. You will be at the forefront of driving innovation with technology and quality, as we continue to embrace the future. Key Responsibilities: - Designing & Developing Custom AI Chatbots to address business challenges and automate routine tasks. - Implementing AI-driven automation across various departments such as HR, Sales, Quality, Purchase, and CRM. - Collaborating closely with department heads to understand their needs and deliver inte...

Job description Hiring for AI Engineering Mandatory Skills: AI Engineering with gcp or other cloud technologies Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-p...