Advanced Machine Learning Engineer

4 days ago

Amritsar, Punjab, India beBeeMachine Full time ₹ 30,00,000 - ₹ 50,00,000

Job Opportunity

We are seeking a skilled Machine Learning Engineer to join our organization. The ideal candidate will have a strong background in machine learning and software engineering, with expertise in Python, PyTorch, and other relevant technologies.

Key Responsibilities:

  • Design, develop, and deploy scalable 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.
  • Stay updated with the latest advancements in AI, ML, and GenAI frameworks and tools.
  • Apply DevOps/MLOps practices to automate and manage the full ML lifecycle.

Required Skills & 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.
Nice-to-Have
  • Experience in Generative AI and working with LLMs.
  • Exposure to MLOps tools like MLflow, Kubeflow, or Airflow.
  • Knowledge of transformer-based models, embeddings, and NLP pipelines.
  • Prior contributions to open-source ML frameworks or GitHub repositories.
Core Skills & Proficiency
  • Python
  • NumPy
  • PyTorch
  • Machine Learning
  • Deep Learning
  • REST API Development
  • Agile Software Development
  • API Development
  • Generative AI
  • Artificial Intelligence

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