AI Engineer

11 hours ago

Amritsar, Punjab, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a talented individual to join our team as an Artificial Intelligence/Machine Learning Engineer. The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning models for classification, regression, NLP, and generative AI tasks.

The successful candidate will lead AI/ML pipelines from data ingestion to model deployment, monitoring, and retraining. They will also implement model observability and monitoring for drift detection and continuous evaluation.

In addition, the candidate will develop and deploy REST APIs to integrate ML models with production systems using frameworks like FastAPI. They will ensure high code quality through unit/integration testing and code reviews.

The ideal candidate will have strong collaboration skills and be able to work effectively 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.
  • 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.

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