Senior Machine Learning Research Analyst

3 days ago

Pune, Maharashtra, India CG-VAK Software & Exports Ltd. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Work Experience

  • 10+ years of experience in the field of research on machine learning
  • M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning.
  • Proven track record of conducting ML research, demonstrated through publications or contributions to the machine learning community.
  • Strong theoretical knowledge and practical experience in machine learning algorithms, including deep learning, reinforcement learning and other ML techniques.
  • Proficiency in programming languages like Python, R, or Java, and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of data structures, algorithms, and optimization techniques.

Objectives & Responsibilities

Technical Skills

  • Conduct in-depth research and development of machine learning algorithms and models.
  • Explore and experiment with novel approaches to solve complex business problems using AI-ML techniques.
  • Stay updated with the latest advancements in the field of machine learning and contribute to the adoption of cutting-edge technologies.
  • Design and implement machine learning experiments. Analyze and interpret results to derive meaningful insights.
  • Participate in the development and improvement of existing machine learning models and frameworks.
  • Evaluate and fine-tune model performance using various metrics and optimization techniques.
  • Work on large datasets to pre-process, clean, and validate data for training and testing machine learning models.
  • Experience with big data processing tools and distributed computing frameworks is a plus.

People Skills

  • Collaborate closely with data scientists, engineers, and product managers to define research objectives and project scope.
  • Present research findings and propose innovative solutions to stakeholders and senior management.
  • Ability to work on complex problems and propose innovative solutions with a creative and analytical mindset.
  • Excellent communication skills, both written and verbal, to articulate research findings and collaborate effectively with cross-functional teams

Skills: data,optimization,research,ml,machine learning,optimization techniques,algorithms,learning

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