Data Science Lead

2 days ago

Gurgaon, Haryana, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI/ML Engineer

We are seeking a skilled and experienced AI/ML Engineer with expertise in building scalable machine learning models, deploying models to production, and managing end-to-end ML pipelines.


Key Responsibilities:
  • Design, develop, and deploy machine learning models for classification, regression, NLP, and generative AI tasks.
  • Build and optimize data transformation workflows using Python, Pandas, and related libraries.
  • Lead AI/ML pipelines from data ingestion to model deployment, monitoring, and retraining.
  • Implement model observability and monitoring for drift detection and continuous evaluation.
  • Develop and deploy REST APIs to integrate ML models with production systems using frameworks like FastAPI.
  • Ensure high code quality through unit/integration testing and code reviews.
  • Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers.

Required Skills and Qualifications:Programming & Python Ecosystem:
  • Advanced proficiency in Python with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
  • Strong understanding of asynchronous programming, concurrency, and FastAPI (Starlette).
  • In-depth knowledge of multithreading, multiprocessing, and Python GIL.
  • Ability to write clean, efficient, and testable code.
Machine Learning & Deep Learning:
  • Strong grasp of traditional ML concepts: classification, regression, regularization (L1/L2), overfitting/underfitting, multicollinearity.
  • Experience with deep learning architectures: RNNs, attention mechanisms, dropout, early stopping, GANs, diffusion models.
  • Knowledge of transfer learning and pre-trained model fine-tuning.
MLOps:
  • Hands-on experience in ML pipeline design including training, deployment, and monitoring.
  • Proficiency in data drift and concept drift detection and mitigation.
  • Familiarity with model observability tools, unstructured data drift monitoring, and automated drift alerts.
Software Engineering & DevOps:
  • Strong expertise in REST API development, CI/CD pipelines, and integration testing.
  • Experience with Docker and containerized deployments.
  • Familiarity with cloud-based ML deployment (AWS, Azure) and logging/monitoring frameworks.
Data Engineering & Problem Solving:
  • Strong experience with data wrangling, transformation, joins, ranking, filtering, and preprocessing using Python/Pandas.
  • Ability to handle large datasets and build efficient preprocessing workflows.

Benefits:

This role offers the opportunity to work with a talented team, learn from industry experts, and contribute to cutting-edge projects.


Others:

The ideal candidate should be passionate about AI/ML, have a strong desire to learn and grow, and be committed to delivering high-quality results.

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