Birbal Machine Learning Engineer (BMLE) @ Birbal AI

Birbal AI Labs Private Limited

Job details

Pay

  • ₹11,217.60 – ₹69,940.80 a month

Job type

  • Contractual / Temporary
  • Freelance
  • Part-time
  • Internship
  • Volunteer
  • Permanent
  • Fresher
  • Full-time

Location

Delhi, Delhi

Benefits

Pulled from the full job description:
  • Food provided
  • Health insurance
  • Paid time off
  • Paid sick time
  • Life insurance
  • Cell phone reimbursement
  • Leave encashment
  • Internet reimbursement
  • Commuter assistance
  • Provident Fund
  • Work from home
  • Flexible schedule

Full job description

Birbal Machine Learning Engineer (BMLE)

Job Description:

We are looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power real-world products. You will work closely with data scientists, software engineers, and product teams to translate business problems into ML solutions.

Responsibilities:

  • Design, develop, and deploy machine learning models in production
  • Build end-to-end ML pipelines (data ingestion, training, evaluation, deployment)
  • Optimize model performance, scalability, and reliability
  • Collaborate with product and engineering teams to integrate ML solutions
  • Monitor models in production and retrain as needed

Requirements:

  • Strong programming skills in Python (and/or Java, Scala).
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Knowledge of data structures, algorithms, and software engineering best practices.
  • Experience with SQL, NoSQL, and data processing tools.
  • Familiarity with cloud platforms (AWS, GCP, Azure).

Nice to Have:

  • Experience with MLOps, CI/CD, Docker, Kubernetes.
  • Knowledge of NLP, Computer Vision, or Recommendation Systems.

Job Types: Full-time, Part-time, Permanent, Fresher, Internship, Contractual / Temporary, Freelance, Volunteer
Contract length: 60 months

Pay: ₹11,217.60 – ₹69,940.80 per month

Expected hours: No more than 168 per week

Benefits:

  • Cell phone reimbursement
  • Commuter assistance
  • Flexible schedule
  • Food provided
  • Health insurance
  • Internet reimbursement
  • Leave encashment
  • Life insurance
  • Paid sick time
  • Paid time off
  • Provident Fund
  • Work from home

Work Location: In person

To apply for this job email your details to joblogg26@gmail.com

Job Location