AI/ML Engineer

4 weeks ago

Gurgaon, Haryana, India CodeZio Full time

Python : AI/ML Engineer

Job Summary :

We are looking for a passionate and skilled Python - AI/ML Engineer who brings strong expertise in building AI/ML solutions, productionizing models, and contributing to end-to-end ML pipelines. The ideal candidate should possess deep knowledge of traditional and deep learning concepts, hands-on programming capabilities, experience in enterprise-grade software engineering, and a good understanding of MLOps practices.

Key Responsibilities :


- Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative tasks.

- Build and optimize data transformation workflows using Python and Pandas.

- Lead AI/ML project pipelines from data ingestion to model deployment and monitoring.

- Implement model observability, monitoring for drift, and continuous model evaluation.

- Develop REST APIs and integrate ML models with production systems using frameworks like FastAPI.

- Participate in code reviews, write unit/integration tests, and ensure high code quality.

- Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers.

- Stay current with the latest developments in AI, GenAI, ML frameworks, and tools. Use DevOps/MLOps tools to automate and manage model lifecycle processes.

Required Skills : & Python Ecosystem :

- Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.

- Strong understanding of asynchronous programming, FastAPI, and concurrency (Starlette).

- Deep understanding of multithreading, multiprocessing, and the Python GIL.

- Ability to write clean, efficient, and testable code.

Machine Learning & Deep Learning :


- Solid grasp of traditional ML concepts : classification, regression, overfitting/underfitting, regularization (L1/L2), multicollinearity.

- Experience with deep learning : RNNs, attention mechanisms, dropout, early stopping, loss functions (BCE, categorical cross entropy), diffusion models vs GANs.

- Familiarity with transfer learning and pre-trained model fine-tuning.

MLOps :


- Understanding of ML pipeline design including model training, deployment, and monitoring.

- Experience in detecting and mitigating data drift and concept drift.

- Exposure to model observability, monitoring unstructured data drift, and automated drift alerts.

Software Engineering & DevOps :


- Strong skills in REST API development, integration testing, and CI/CD practices.

- Experience with containerization tools like Docker.

- Familiarity with cloud-based ML deployment (AWS/Azure) and logging frameworks.

Hands-On Problem Solving & Data Engineering :


- Ability to perform data transformation and aggregation using Python/Pandas.

- Experience handling dataframes, joins, ranking, filtering, mapping, and custom logic for preprocessing tasks.

Nice-to-Have :

- Experience in GenAI and working with LLMs.

- Exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms.

- Understanding of NLP, embeddings, and transformer-based models.

- Prior contributions to open-source ML tools or GitHub repositories.

Job Type : Payroll

Must have Skills :

- Python - 5 Years

- API Development - 4 Years

- NumPy - 4 Years

- Pytorch - 4 Years

- Machine Learning - 4 Years

- Deep Learning - 4 Years

- Rest API - 4 Years

- Agile Software Development - 4 Years

- Generative AI - 4 Years

- Artificial Intelligence - 4 Years

(ref:hirist.tech)

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