Senior Data Scientist | Machine Learning Engineer (MLE)

4 years

25 - 30 Lacs

Posted:2 weeks ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Hiring: Senior Data Scientist | Machine Learning Engineer (MLE)
Location: Mohali / Pune
Experience: 4+ Years
Salary: ₹25 LPA – ₹30 LPA
Apply at: info@fitb.in

Required Skill Sets

  • Expertise in ML/DL, model lifecycle management, and MLOps tools (MLflow, Kubeflow)
  • Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face
  • Strong background in NLP, including fine-tuning transformer models
  • Hands-on experience with AWS, GCP, or Azure, and deployment tools like SageMaker, Vertex AI
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines
  • Familiarity with distributed computing (Spark, Ray) and vector databases (FAISS, Milvus)
  • Experience with model optimization (quantization, pruning), hyperparameter tuning, and drift detection

Roles & Responsibilities

  • Build and maintain end-to-end ML pipelines from data ingestion to deployment
  • Develop, fine-tune, and scale ML models for real-world applications
  • Evaluate models using metrics like F1-score, AUC-ROC, BLEU, etc.
  • Automate retraining, monitoring, and drift detection processes
  • Collaborate with cross-functional teams for seamless ML integration
  • Mentor junior team members and enforce best practices

Perks & Benefits

  • Food allowance provided
  • Cab facility available
  • Night shift allowance (NCA)
  • Graduates only may apply
  • 5-day working

If you meet the above criteria and are passionate about building impactful ML systems, send your resume to info@fitb.in

Job Types: Full-time, Permanent, Fresher

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Benefits:

  • Flexible schedule
  • Food provided
  • Health insurance
  • Life insurance
  • Paid sick time
  • Paid time off
  • Provident Fund

Schedule:

  • Evening shift
  • Fixed shift
  • Monday to Friday
  • Night shift
  • Rotational shift
  • US shift

Supplemental Pay:

  • Performance bonus
  • Shift allowance
  • Yearly bonus

Work Location: In person

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