Python Engineer

2 weeks ago

Gurgaon, Haryana, India True Talents Full time

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)

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