Lead Machine Learning Engineer.

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  • July 2 2024

Job Profile: Lead Machine Learning Engineer
Experience: 7+ Years
Location: Remote
Education: From Tier 1 Institutes only

Skills:

  • Design, develop, and deploy machine learning models and algorithms to solve business problems and enhance SaaS products.
  • Lead a team of ML engineers and scientists to conduct rapid experiments and prototype development.
  • Experience working with Multi-modal LLMs (Large Language Models) such as Claude, Gemini, Llama.
  • Proficiency in fine-tuning Open Source Large Language Models (LLMs).
  • Familiarity with cloud platforms such as AWS, Google Cloud, etc.

Responsibilities:

  • Lead the design and implementation of machine learning solutions that address complex business challenges.
  • Collaborate with cross-functional teams to define ML project requirements and deliverables.
  • Mentor and guide junior ML engineers in best practices for ML model development and deployment.
  • Conduct research and stay updated with advancements in ML technologies and methodologies.
  • Evaluate and integrate third-party ML libraries, frameworks, and tools as needed.
  • Ensure scalability, reliability, and performance of deployed ML models.

Requirements:

  • Bachelorโ€™s or Masterโ€™s degree from a Tier 1 Institute in Computer Science, Engineering, or related fields.
  • Proven experience of 7+ years in designing, developing, and deploying machine learning models in a production environment.
  • Strong leadership and team management skills with experience in leading ML teams.
  • Solid understanding of various ML techniques, algorithms, and frameworks.
  • Excellent programming skills in languages such as Python, R, or Scala.
  • Experience with version control tools (e.g., Git) and CI/CD pipelines.
  • Effective communication skills and ability to collaborate in a remote team environment.

Benefits:

  • Competitive compensation package based on experience and skills.
  • Remote work flexibility with a dynamic and collaborative work culture.
  • Opportunities for career growth and professional development.
  • Comprehensive benefits package including health insurance and retirement plans.

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