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Machine Learning Engineer

1 hour, 6 minutes ago
India
Full-time
Mid Level
Machine Learning Engineer
Software Development
Deep Learning FastAPI Generative AI Git Kubernetes Machine Learning MLOps Python PyTorch
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Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
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Description

  • Design, develop, deploy, and scale production machine learning and Generative AI applications.
  • Build LLM-powered applications, intelligent agents, and AI automation workflows.
  • Develop scalable backend services and APIs using Python and FastAPI.
  • Create ML pipelines covering experimentation, evaluation, deployment, monitoring, and optimization.
  • Integrate foundation models and LLM APIs into production applications.
  • Deploy and scale ML applications using cloud infrastructure and containerized environments.
  • Evaluate model performance and improve accuracy, reliability, latency, and cost.
  • Collaborate with engineering and product teams to translate business problems into AI solutions.
  • Contribute to architecture decisions across ML systems, APIs, infrastructure, and deployment.
  • Own AI projects across the full lifecycle in ambiguous and fast-changing environments.

Requirements

  • 3–5 years of professional experience in machine learning, AI engineering, software engineering, or a related field.
  • Strong Python proficiency and experience building production software.
  • Strong understanding of Large Language Models and Generative AI.
  • Hands-on experience with FastAPI or similar Python backend frameworks.
  • Experience building and deploying production AI/ML applications.
  • Understanding of ML fundamentals, model development, evaluation, and deployment.
  • Experience with APIs, data pipelines, scalable backend systems, testing, debugging, version control, and production deployment.
  • Experience with Kubernetes and containerized deployments.
  • Experience with GCP or comparable cloud platforms and PyTorch or similar deep learning frameworks.
  • Experience taking AI/ML solutions from prototype to production; LLM, agentic AI, or intelligent automation experience is preferred.
  • Bachelor’s degree in computer science, engineering, ML, AI, or a related field preferred; equivalent practical experience considered.
  • Strong problem-solving, communication, cross-functional collaboration, and ownership skills; startup or founding-engineer experience is preferred.
  • Published research, technical publications, open-source LLM/agent contributions, complex multi-agent workflow experience, or healthcare AI exposure are advantageous.
  • Candidates with notice periods of 30–45 days or less are preferred.

Benefits

  • Salary of INR 40–50 LPA.
  • Remote work from India.
  • Full-time employment.

Interested in this position?

Apply directly on the company website

Apply Now

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