13,520 Machine Learning Models jobs in India

Job Title :
Software Engineer - Machine Learning Engineer LLM/GenAI Focus

Location :
Airoli, Navi Mumbai

Experience Required :
Minimum 2 years relevant experience in Python

Work from Office
Key Responsibilities

• Design, develop, and implement machine learning (ML) and natural language processing (NLP) models and solutions.
• Build, fine-tune, and deploy Large Language Models (LLMs) and Generative AI (GenAI) applications.
• Write, maintain, and optimize Python code for ML and NLP projects.
• Work with databases to collect, clean, and manage datasets for model training and evaluation.
• Deploy ML models and Python applications on public cloud platforms (Azure/AWS).
• Collaborate with cross-functional teams to define business requirements and deliver solutions.
• (Good to have) Support and implement best practices for LLMOps, including monitoring and lifecycle management of LLM/GenAI models.

Requirements

• Relevant experience : Minimum 2 years in machine learning, NLP, or AI solution development.
• Python programming : 12 years of hands-on experience.
• ML/NLP : 2+ years practical experience building and deploying ML/NLP solutions.
• LLM and GenAI : At least 1 year working with LLM (Large Language Models) and Generative AI technologies.
• Databases : 1+ years of experience working with any modern database (SQL/NoSQL).
• Cloud Deployment : 1+ years of experience deploying ML models or Python applications on Azure or AWS.
• Good to have : Familiarity with LLMOps tools or frameworks for managing LLM/GenAI models.

Preferred Skills

• Familiarity with major ML/NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face Transformers).
• Understanding of software engineering best practices, version control, and model lifecycle management.
• Strong analytical and problem-solving skills.
• Effective communication and teamwork abilities.

)

• Lead and mentor a team of AI researchers and engineers in developing novel AI/ML models and algorithms.
• Define and drive the research agenda and roadmap for AI initiatives.
• Design and conduct state-of-the-art research experiments to solve complex problems.
• Develop, train, and evaluate machine learning models for various applications (e.g., natural language processing, computer vision, predictive analytics).
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
• Publish research findings in top-tier conferences and journals.
• Collaborate with product and engineering teams to integrate research advancements into production systems.
• Analyze and interpret large datasets to identify patterns and opportunities for AI application.
• Contribute to the intellectual property portfolio through patent filings.
• Present research proposals and results to stakeholders and executive leadership.
• Foster a culture of innovation and knowledge sharing within the research team.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of post-doctoral or industry research experience in AI/ML.
• Proven track record of leading research projects and teams.
• Deep understanding of various machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
• Strong publication record in reputable AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR).
• Proficiency in programming languages such as Python, and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Experience with distributed training and large-scale data processing.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills for remote collaboration.
• Ability to work independently and manage multiple research projects effectively in a remote setting.

• Conduct pioneering research in machine learning and artificial intelligence.
• Develop and implement novel AI algorithms and models.
• Design and execute experiments to validate research hypotheses.
• Analyze large-scale datasets to extract meaningful insights.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with engineering teams to deploy AI models into production.
• Mentor and guide junior researchers and engineers.
• Contribute to the strategic direction of the AI research group.
• Stay current with the latest advancements in the field of AI.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 8 years of research experience in AI/ML, with a strong publication record.
• Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python.
• Experience with large-scale data processing and distributed computing.
• Strong understanding of mathematical foundations of machine learning.
• Excellent analytical, problem-solving, and research skills.
• Proven ability to lead research projects and mentor team members.
• Exceptional written and verbal communication skills for remote collaboration.

• Conducting cutting-edge research in machine learning, deep learning, and related AI fields.
• Designing, developing, and evaluating novel AI algorithms and models for applications such as natural language processing, computer vision, and predictive analytics.
• Implementing and optimizing ML models for performance, scalability, and efficiency using frameworks like TensorFlow, PyTorch, or similar.
• Collaborating with product teams to translate research breakthroughs into practical applications and features.
• Analyzing large datasets, identifying patterns, and extracting meaningful insights to inform model development.
• Publishing research findings in top-tier conferences and journals, and contributing to the scientific community.
• Mentoring junior researchers and engineers, and fostering a culture of innovation and knowledge sharing.
• Staying abreast of the latest advancements in AI and ML research, identifying opportunities for innovation.
• Developing and maintaining robust research infrastructure and tools.
• Presenting research progress and findings to technical and non-technical audiences.

• Lead research and development of advanced machine learning models and algorithms.
• Design and implement novel AI solutions for complex problems.
• Conduct experiments with large datasets and evaluate model performance.
• Stay abreast of the latest research in AI, ML, deep learning, and related fields.
• Publish research findings in top-tier conferences and journals.
• Mentor junior AI researchers and guide their technical development.
• Collaborate with engineering teams to deploy AI models into production systems.
• Contribute to defining the long-term research roadmap and strategy.
• Present research findings to technical and non-technical audiences.
• Ensure ethical considerations and responsible AI practices are integrated into research.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 7-10 years of post-Ph.D. research experience in AI/ML.
• Exceptional track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
• Deep expertise in at least one of the following areas: deep learning, NLP, computer vision, reinforcement learning, or generative models.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Strong understanding of mathematics, statistics, and algorithms.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Outstanding communication and presentation abilities.
• Proven ability to lead research projects and work effectively in a fully remote team.

• Lead research and development of advanced AI and machine learning models.
• Design, implement, and evaluate novel algorithms for AI applications.
• Collaborate with engineering teams to integrate models into production systems.
• Mentor and guide junior researchers and engineers.
• Publish research findings in top-tier conferences and journals.
• Stay current with AI/ML research trends and best practices.
• Contribute to the strategic direction of the AI research roadmap.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 5+ years of experience in AI research and development.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
• Strong publication record in relevant fields.
• Experience leading research projects and teams.
• Excellent communication and interpersonal skills for a remote environment.

• Conduct cutting-edge research in artificial intelligence and machine learning.
• Design, develop, and implement novel AI algorithms and models.
• Explore and evaluate new machine learning techniques and architectures.
• Analyze large datasets to extract insights and inform model development.
• Develop prototypes and proof-of-concepts for new AI applications.
• Rigorous experimentation and performance evaluation of developed models.
• Publish research findings in leading academic conferences and journals.
• Collaborate with engineering teams to deploy AI models into production systems.
• Stay abreast of the latest advancements and trends in the AI field.
• Mentor junior researchers and contribute to a culture of innovation.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Minimum of 8 years of post-doctoral research experience in AI/ML.
• Demonstrated expertise in one or more sub-fields of AI/ML (e.g., deep learning, reinforcement learning, natural language processing, computer vision).
• Proven track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
• Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing and distributed computing.
• Excellent analytical, mathematical, and problem-solving skills.
• Ability to work independently and lead research projects.
• Strong communication and presentation skills.
• Experience in a hybrid work environment is a plus.

Job Title:
Deep Learning & Computer Vision Engineer

Company:
Designing Alley

Location:
On-site

Employment Type:
Full-Time

Experience:
3–5 Years

About Us

Designing Alley is an innovation-driven startup building advanced solutions in
automation, AI, and computer vision
. We combine creativity with technology to deliver groundbreaking products that redefine industries. If you're passionate about AI and want to work on cutting-edge projects, join us and make an impact.

Role Overview

We are seeking a
Deep Learning & Computer Vision Engineer
to design, develop, and deploy AI-powered solutions. You will be responsible for building real-time computer vision pipelines, implementing state-of-the-art deep learning models, and bringing research concepts into production. This is an exciting opportunity to work in a
fast-paced startup environment
where your work directly shapes innovative products.

Key Responsibilities

• Design and implement
  deep learning models
  for image classification, object detection, segmentation, and tracking.
• Develop
  computer vision pipelines
  for real-time applications.
• Research and apply the latest
  AI and computer vision techniques
  from research papers to production systems.
• Deploy, optimize, and maintain models on
  cloud platforms
  (AWS, GCP, Azure).
• Work with large datasets, performing preprocessing and
  data augmentation
  .
• Collaborate with cross-functional teams to integrate AI into products.
• Monitor model performance and improve efficiency.
• Mentor junior engineers
  and support team knowledge sharing.

Required Skills & Qualifications

• 3–5 years of experience in
  deep learning and computer vision
  .
• Proficiency in
  Python
  and frameworks like
  TensorFlow, PyTorch, Keras
  .
• Strong understanding of
  OpenCV
  and computer vision algorithms.
• Hands-on experience with neural architectures (
  CNNs, YOLO, ResNet, Transformers
  ).
• Experience deploying models on
  AWS/GCP/Azure
  and knowledge of
  MLOps
  (Docker, Git, CI/CD).
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Experience with
  ROS
  and robotics applications.
• Knowledge of
  model optimization techniques
  (quantization, pruning).
• Familiarity with
  edge deployment
  (TensorFlow Lite, ONNX).
• Startup experience and ability to thrive in a dynamic environment.
• Contributions to
  open-source projects
  or published research.