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AI Engineer

Msolvion Technologies

  • 2 yrs
  • Bangalore
Python Azure React Nodejs Rdbms Autogen AWS Machine Learning
We're Hiring: AI Engineer at MSolve TechMSolve Tech is looking for a talented AI Engineer with 4+ years of experience to design and build AI products using Agentic AI (Autogen), Python backend, and React/Node.js front-end.What You'll Do:Build AI-powered products from concept to deployment.Develop backend services in Python and integrate AI/ML pipelines.Create responsive front-end apps using React & Node.js.Work with RDBMS and Azure Cosmos DB.Skills We're Looking For:Python, Node.js, ReactAgentic AI (Autogen)RDBMS & Azure Cosmos DBProduct-focused mindset & strong problem-solving skillsWhy Join Us:Lead the development of cutting-edge AI productsFlexible work environmentGrow your skills with an innovative tech team
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AI Engineer (full Time)

Anshri HR Solution

  • 5 - 7 yrs
  • 35.0 Lac/Yr
  • Bangalore
LangGraph PyTorch SpaCy FastAPI. Knowledge Of Agentic AI LLM Evaluation Docker MCP
Job DetailsLocation: Bangalore , Bangalore , Bangalore , 560034Employment Type: Permanent Employment (Full-time)Work Type: hybridNo of Openings: 3Created At: 19 September 2025Updated At: 01 October 2025Salary: ,INR 3000000 - 3600000 / PER YEARApplication Deadline: Not specifiedDescription:PX-Gen AI Engineer-1Client: SonyLocation: Bengaluru (Hybrid)Experience: 57 YearsBudget: 3036 LPANotice Period: ImmediateAbout the RoleSony is hiring a PX-Gen AI Engineer to design, train, and deploy advanced Generative AI solutions. This role requires strong knowledge of LLMs, cloud AI platforms, and deployment frameworks. The candidate will work on cutting-edge projects in Gen AI, NLP, and agentic AI to drive innovation in consumer applications.Key ResponsibilitiesFine-tune and optimize Large Language Models (LLMs) for specific use cases.Deploy Gen AI models in production using AWS/Azure and Docker.Build and maintain RESTful APIs with Flask/FastAPI for AI services.Implement NLP-driven solutions with search and indexing capabilities.Evaluate model performance, run experiments, and apply Agentic AI frameworks.Collaborate across teams for integration and scalability of AI systems.Research and integrate latest advancements in Gen AI and NLP.Required SkillsStrong programming in Python.Hands-on with LangChain, LangGraph, PyTorch, SpaCy, DSPy.Cloud integration experience with AWS/Azure.API development using Flask, FastAPI.Knowledge of Agentic AI, LLM evaluation, Docker, MCP.QualificationsB.Tech/M.Tech/Masters in Computer Science or AI-related field.57 years of experience in ML/AI with a strong focus on Gen AI.Skills:Agentic AILLM evaluationDockerMCP.LangGraphPyTorchSpaCyDSPy.00Experience: 5 - 7 yearsQualification Requirements: Graduation (10 + 2 + 4)About the CompanyName: Quess Corp LimitedAddress:Area: BangaloreCity: BangalorePincode: 560034Street: BangaloreLocation Link: View on MapHiring Need: Immediate
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  • 0 - 1 yrs
  • 5.0 Lac/Yr
  • Bangalore
AI Trainer AI Engineer ML
We are looking for candidates who can demonstrate a proactive and hands-on approach to learning AI. Foundational AI/ML in Practice: You have moved past theory and have practical, hands-on experience. This must be demonstrated through: Personal or Academic Projects: You have built projects where you have trained a machine learning model (e.g., using Scikit-learn, PyTorch) and/or consumed a third-party AI API to create an application. Data Handling Skills: You have experience using Python with libraries like Pandas and NumPy to clean, manipulate, and prepare data for machine learning tasks. Knowledge of Modern AI Architectures: You can clearly explain and have a working knowledge of core concepts in the modern AI stack. You must understand: What Large Language Models (LLMs) are and the key differences between them. Model Context Protocol (MCP) Fundamentals: You must grasp the core mechanics of how models use context, including: The concept of a model's context window and its practical limitations. Basic strategies for managing conversation history or state in multi-turn interactions. The principles of Prompt Engineering and Retrieval-Augmented Generation (RAG). The core concepts of Agentic AI: what it means for an AI to have goals, use tools, and perform multi-step reasoning. Strong Programming Fundamentals: Proficiency in Python: You have used Python to build small applications or complex scripts. Familiarity with Backend Concepts: You understand the basics of building an API and have some exposure to a backend framework. Familiarity with Node.js is a strong plus. Analytical Mindset: You possess a bachelor's degree in computer science, Data Science, Engineering, or a related field, and you know how to break down complex problems logically.
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  • 3 - 9 yrs
  • Bangalore
Conversation AI LLM LLM Engineer Speech Analytics Speech to Text
AI Engineer @ ContactPoint 360Role Objectives- Design and implement advanced conversational AI solutions- Develop intelligent agent assist features- Optimize real-time natural language understanding and generation- Enhance customer interaction quality through AI technologiesKey Responsibilities- Design and develop machine learning models for intent recognition- Create context-aware dialogue management systems- Implement real-time inference optimization techniques- Build robust natural language understanding pipelines- Develop and maintain speech recognition and synthesis components- Conduct performance testing and model evaluation- Collaborate with product and engineering teamsRequired Technical Skills- Advanced proficiency in Python- Deep learning frameworks (TensorFlow/PyTorch/JAX)- Natural Language Processing techniques- Machine learning model development- Real-time system design- Experience with transformer models- Knowledge of dialogue systems architecture- Knowledge of distributed training strategies- Knowledge of model compression techniquesTechnical CompetenciesExpertise in:- Conversational AI- Machine Learning- Speech recognition- Intent/entity extraction- Context tracking- Dynamic response generationPreferred Background- Bachelor's or Master's in Computer Science, AI, Computational Linguistics- 2-5 years professional experience in conversational AIPreferred Qualifications- Published research or significant contributions in NLP/AI domainsSoft Skills- Strong problem-solving abilities- Excellent communication skills- Collaborative team player- Innovative thinking- Adaptability in rapidly evolving AI landscape
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  • 5 - 11 yrs
  • 35.0 Lac/Yr
  • Bangalore
OCR Tesseract EasyOCR PaddleOCR TensorFlow PyTorch Keras MXNet Natural Language Processing AI Engineer ML Engineer
Position: Sr. AI/ML Engineer (OCR Solutions)Exp: 5+ yearsLocation: RemoteSalary: up to 35 LPA Notice Period should be max. 15-20 DaysRequirements:- 5+ years of exp. in AI/ML engineering with at least 3 years of experience in building OCR solutions- Strong knowledge of OCR technologies, including Tesseract, EasyOCR, PaddleOCR, or custom deep learning-based OCR systems- Experience with multiple languages and character sets (e.g., Latin, Cyrillic, Chinese, Japanese, Arabic, Devanagari, etc.)- Deep Learning: Proficiency with machine learning frameworks like TensorFlow, PyTorch, Keras, or MXNet- Experience in natural language processing (NLP) techniques for post-processing OCR outputs.- Strong programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, etc.).- Proven experience in scaling AI/ML models for production environments and containerizing applications using Docker for easier deployment and scalability.- Experience deploying OCR models in cloud environments (AWS, GCP, or Azure) and working with CI/CD pipelines.- Proficient in version control systems (Git, GitHub, GitLab).- Excellent analytical and problem-solving skills.
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AI Engineer

Nidaash Consulting

  • 1 - 4 yrs
  • Bangalore
AI Engineer
Intellxcel Solutions prides itself on cutting-edge AI and machine learning engineering, driving innovation and efficiency across various industries. Our team of skilled engineers is dedicated to harnessing the power of AI to solve complex problems and deliver tangible results for our clients.Note:As per Intellxcel Norms if Particular Person does not clear the Interview. company will put you on training, Based on Requirement and shall charge the Cost of Rs 499/-Key Responsibilities:Designing and Developing AI-powered Solutions: We create tailored funnel projects or live AI queries to solve complex problems faced by our Our clients, leveraging cutting-edge AI and ML technologies.Staying Up to Date with Industry Trends: We continuously monitor industry trends, advancements, and best practices in AI and ML engineering, ensuring we stay ahead of the curve and deliver innovative solutions to our clients.Requirements:-- Proficiency in machine learning algorithms and frameworks such as TensorFlow, PyTorch, and scikit-learn.- Strong programming skills in languages like Python, Java, or C++.- Experience with data preprocessing techniques and feature engineering.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for scalable AI deployment.- Excellent problem-solving and communication skills, with a passion for driving real-world impact through AI and machine learning.Join Intellxcel.com Solutions and be part of a dynamic team shaping the future of AI and machine learning engineering. Together, we'll unlock new possibilities and drive innovation across industries.Regards,
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AI-ML Engineer

Telesoft Labs Pvt Ltd

  • 4 - 6 yrs
  • Bangalore
Keras Python Azure Github AI-ML Engineer
? Develop machine learning and deep learning applications according to requirements? Ability to write robust code in Python? Perform statistical analysis and fine-tuning using test results? Select appropriate datasets and data representation ? Optimising the algorithms? Desired to have knowledge on any of the cloud solutions such as Azure or AWS? Extend existing ML libraries and frameworks? Experience in Flask or other python API frameworks? Research and implement appropriate ML algorithms and toolsKindly share your CV only in Word document format.
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