14,852 AI Specialist jobs in India

Deep Learning

Mumbai, Maharashtra Anicalls (Pty) Ltd

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Job Description

• 4+ years of Deep Learning experience and 10+ years of Machine learning experience targeted to product development
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
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Deep Learning

Chennai, Tamil Nadu Anicalls (Pty) Ltd

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Job Description

• 4+ years of Deep Learning experience and 10+ years of Machine learning experience targeted to product development
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
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Deep Learning

Hyderabad, Andhra Pradesh Anicalls (Pty) Ltd

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Job Description

• 4+ years of Deep Learning experience and 10+ years of Machine learning experience targeted to product development
• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
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AI Specialist

Bengaluru, Karnataka United Field Services, Inc.

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Role Overview

As an AI Specialist at United Field Services, you will be responsible for designing, building, and implementing AI-driven solutions that enhance our operational efficiency and product offerings. You’ll work closely with cross-functional teams—from engineering to product management—to integrate AI models (including large language models like ChatGPT) into our systems. This is an exciting opportunity for someone passionate about leveraging artificial intelligence to solve real-world problems and drive business value.

Key Responsibilities
  • AI Model Integration: Develop and integrate advanced AI models (e.g., ChatGPT) into our existing platforms and workflows to automate and enhance various business processes.
  • Data Pipeline Development: Collaborate with data engineers to design robust data pipelines that support model training, deployment, and real-time inference.
  • Model Training & Fine-Tuning: Fine-tune language models using proprietary datasets to improve performance, accuracy, and relevance in our specific use cases.
  • Collaboration & Communication: Work cross-functionally with product managers, software engineers, and stakeholders to identify AI opportunities, define project goals, and deliver innovative solutions.
  • Quality Assurance & Troubleshooting: Ensure that the AI components are reliable, scalable, and meet strict quality standards. Investigate and resolve technical issues in a timely manner.
  • Research & Innovation: Stay up to date with the latest AI and NLP research, tools, and best practices. Propose and implement new AI-driven features and improvements.
Required Qualifications
  • Education & Experience:
    • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field (or equivalent practical experience).
    • Demonstrated experience developing and deploying AI or NLP models in a production environment.
  • Technical Expertise:
    • Proficiency in Python (preferred) or another programming language commonly used for AI/ML.
    • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
    • Experience working with large language models (ChatGPT, GPT-3/4, BERT, etc.) and integrating them into real-world applications.
    • Understanding of data structures, algorithms, and machine learning fundamentals.
  • Problem-Solving Skills:
    • Ability to dissect complex business problems and translate them into actionable AI solutions.
    • Comfort with building proof-of-concepts to validate new ideas and refine solutions iteratively.
  • Collaboration & Communication:
    • Excellent verbal and written communication skills.
    • Ability to work effectively with cross-functional teams in a remote environment.
Preferred Qualifications
  • Industry Background: Familiarity with field services, property inspection, or real estate domains.
  • Cloud Experience: Experience deploying AI solutions on AWS, Azure, or GCP.
  • MLOps: Knowledge of CI/CD pipelines for machine learning (e.g., containerization, model versioning, and automated deployment).
  • Security & Compliance: Understanding of data privacy and compliance regulations relevant to AI (e.g., GDPR, CCPA).
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AI Specialist

Hyderabad, Andhra Pradesh CoffeeBeans

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Job Title:  AI Specialist
Experience:  3–9 years
3- 6 Years - 5  Position For Hyderabad  
6 - 9 Years - 1 Position for Bangalore
Location: Hyderabad 

  • Mode of Work:  5 days, WFO

    Key Responsibilities:
    • Train and fine-tune LLMs (e.g., LLaMA, Mistral) for company-specific use cases
    • Customize and optimize model performance for production deployment
    • Collaborate with internal teams for model integration and data pipelines
    • Stay updated with the latest in GenAI and LLM techniques

    Required Skills:
    • Hands-on experience with LLMs.

  • Hands on experience into fine tuning.

  • Experience in specifics of vector database indexing.

  • Must have strong experience in advanced AI/ML techniques and database indexing.

  • Must have experience working with production projects.
  • Familiarity with LoRA, QLoRA, RAG, PEFT
    • Knowledge of model evaluation, optimization, and GPU training.


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AI Specialist

Bengaluru, Karnataka Wissen

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Wissen Technology is Hiring for AI Specialist

About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges.

Job Summary: We are seeking dynamic and talented individuals to join our AI COE. This team will focus on developing advanced AI models, integrating them into our cloud-based platform, and delivering impactful solutions that drive efficiency, innovation, and customer value

Experience: 5-8 Years Location: Bangalore

Key Responsibilities:

  • As a Full Stack AI Engineer, research, design, and develop AI solutions for text, image, audio, and video generation
  • Build and deploy Agentic AI systems for autonomous decision-making across business outcomes and enhancing associate productivity.
  • Work with domain experts to design and fine-tune AI solutions tailored to portfolio-specific challenges.
  • Partner with data engineers across portfolio companies to – Preprocess large datasets and ensure high-quality input for training AI models.
  • Develop scalable and efficient AI pipelines using frameworks like TensorFlow, PyTorch, and Hugging Face.
  • Implement MLOps best practices for AI model deployment, versioning, and monitoring using tools like MLflow and Kubernetes.
  • ·Ensure AI solutions adhere to ethical standards, comply with regulations (, GDPR, CCPA), and mitigate biases.
  • ·Design intuitive and user-friendly interfaces for AI-driven applications, collaborating with UX designers and front-end developers.
  • ·Stay up to date with the latest AI research and tools and evaluate their applicability to our business needs.
  • Qualifications :

  • Proficiency in full stack application development (specifically using Angular, React).
  • Expertise in backend technologies (Django, Flask) and cloud platforms (AWS SageMaker/Azure AI Studio).
  • Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Proficiency with Large Language Models (LLMs) and generative AI tools (, OpenAI APIs, LangChain, Stable Diffusion).
  • Solid understanding of data engineering workflows, including ETL processes and distributed computing tools (Apache Spark, Kafka).
  • Experience with data pipelines, big data processing, and database management (SQL, NoSQL).
  • Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable AI deployment.
  • Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).
  • Good understanding of AI ethics, bias mitigation, and compliance standards.
  • Excellent problem-solving abilities and innovative thinking.
  • Strong collaboration and communication skills, with the ability to work in cross-functional teams.
  • Proven ability to work in a fast-paced and dynamic environment
  • Good To have skills: 

  • Advanced studies in Artificial Intelligence, or a related field.
  • Experience with reinforcement learning, multi-agent systems, or autonomous decision-making.
  • The Wissen Group was founded in 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.

    Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.

    We have been certified as a Great Place to Work company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to Work Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie.

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    Deep Learning Speacialist

    Bengaluru, Karnataka Anicalls (Pty) Ltd

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    Job Description

    Candidate should have:
    Working experience in performance tuning of end-to-end (E2E) service APIs
    Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
    Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
    Dependency management as well as source code control such as Git
    Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
    Bachelor's Degree in computer science or related field and 4+ years of industry experience
    Proven python skills
    Familiarity with security best practices
    Familiarity with ML operations services such as SageMaker or other industry standards.
    the ability to adapt verbal, written communication to the audience
    Strong team player used to work in an agile (scrum) environment with tools like Jira
    Solid understanding of best practices such as test-driven development and industry established code quality standards
    Experience in Other language expertise like R, C++, Scala is a plus.
    Experience with GPU-based training and optimization is considered a plus.
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    Deep Learning Expert

    Hyderabad, Andhra Pradesh Anicalls (Pty) Ltd

    Posted today

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    Job Description

    Candidate should have:
    Working experience in performance tuning of end-to-end (E2E) service APIs
    Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
    Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
    Dependency management as well as source code control such as Git
    Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
    Bachelor's Degree in computer science or related field and 4+ years of industry experience
    Proven python skills
    Familiarity with security best practices
    Familiarity with ML operations services such as SageMaker or other industry standards.
    the ability to adapt verbal, written communication to the audience
    Strong team player used to work in an agile (scrum) environment with tools like Jira
    Solid understanding of best practices such as test-driven development and industry established code quality standards
    Experience in Other language expertise like R, C++, Scala is a plus.
    Experience with GPU-based training and optimization is considered a plus.
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    Deep Learning Engineer

    Chennai, Tamil Nadu Anicalls (Pty) Ltd

    Posted today

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    Job Description

    Candidate should have:
    Working experience in performance tuning of end-to-end (E2E) service APIs
    Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
    Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
    Dependency management as well as source code control such as Git
    Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
    Bachelor's Degree in computer science or related field and 4+ years of industry experience
    Proven python skills
    Familiarity with security best practices
    Familiarity with ML operations services such as SageMaker or other industry standards.
    the ability to adapt verbal, written communication to the audience
    Strong team player used to work in an agile (scrum) environment with tools like Jira
    Solid understanding of best practices such as test-driven development and industry established code quality standards
    Experience in Other language expertise like R, C++, Scala is a plus.
    Experience with GPU-based training and optimization is considered a plus.
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    Machine Learning/Deep Learning

    Noida, Uttar Pradesh Anicalls (Pty) Ltd

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    Job Description

    • We are looking for a highly motivated self-starter Machine Learning engineer.
    • Responsibilities Select appropriate datasets and data representation
    • methods Data mining using state-of-the-art techniques
    • Create and maintain optimal data pipeline architecture Assemble large, complex data sets
    • That meet functional / non-functional business requirements
    • Design and developing machine learning systems Implement appropriate ML algorithms to create and deploy AI models into production
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