Python Engineer - Machine Learning/Artificial Intelligence

Job Title :

Python - AI/ML Engineer

Location :

Onsite - Gurugram, Haryana

Experience Required :

58 Years

Employment Type :

Full-Time (Payroll)

Duration :

Long-Term

Job Summary

We are seeking a passionate and skilled Python AI/ML Engineer to join our team in Gurugram. The ideal candidate will have strong expertise in building and productionizing AI/ML solutions, designing end-to-end pipelines, and applying MLOps best practices. You will work on a variety of ML use cases including classification, regression, NLP, and generative AI tasks, while collaborating with cross-functional teams to deliver scalable and impactful solutions.

Key Responsibilities

• Design, develop, and deploy scalable ML/DL models for classification, regression, NLP, and generative AI.
• Build and optimize data transformation workflows using Python, Pandas, and related libraries.
• Lead AI/ML project lifecycles from data ingestion, training, validation, deployment, and monitoring.
• Implement model observability, monitoring for data drift/concept drift, and ensure continuous evaluation.
• Develop and expose ML models through REST APIs using frameworks like FastAPI.
• Ensure high code quality via unit testing, integration testing, and participation in code reviews.
• Collaborate with Data Engineers, DevOps, and Product Managers to deliver enterprise-grade solutions.
• Leverage MLOps/DevOps tools to automate ML workflows and CI/CD pipelines.
• Stay updated with advancements in AI, ML frameworks, Generative AI, and deployment practices.
  

Required Skills & Experience & Python Ecosystem

• Advanced expertise in Python (5+ years) with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of asynchronous programming, concurrency (FastAPI, Starlette).
• Deep understanding of multithreading, multiprocessing, and Python GIL.
• Ability to write clean, efficient, and testable code.
  

Machine Learning & Deep Learning

• Strong grasp of ML fundamentals : classification, regression, regularization, multicollinearity.
• Hands-on experience with DL concepts : RNNs, transformers/attention, loss functions, GANs, diffusion models.
• Experience with transfer learning and fine-tuning pre-trained models.
  

MLOps & Model Lifecycle Management

• Proficiency in ML pipeline design, deployment, and monitoring.
• Experience handling data drift, concept drift, and model observability.
• Exposure to automated monitoring and drift alerting frameworks.
  

Software Engineering & DevOps

• Strong expertise in REST API development and integration.
• Experience with CI/CD pipelines, Docker, and containerized deployments.
• Familiarity with cloud-based ML (AWS/Azure/GCP) and logging frameworks.
  

Data Engineering & Problem-Solving

• Proficiency in dataframe operations : joins, filtering, ranking, mapping, aggregation.
• Ability to design efficient data preprocessing and transformation workflows.
  

Nice-to-Have Skills

• Experience working with Generative AI and LLMs (Large Language Models).
• Familiarity with MLOps platforms (MLflow, Kubeflow, Airflow).
• Hands-on exposure to NLP, embeddings, and transformer architectures.
• Contributions to open-source ML projects or active GitHub portfolio.
  

(ref:hirist.tech)