Python AI & Automation Engineer (4-6 Years Experience)

About the Role:

We are looking for a skilled Python AI & Automation Engineer with 4-6 years of experience in developing intelligent automation solutions and machine learning applications. The ideal candidate will have strong expertise in Python programming, hands-on experience with machine learning frameworks, and knowledge of deploying AI models into production using modern MLOps practices.

Key Responsibilities:

- Design, develop, and maintain AI-driven applications and automation solutions using Python.

- Build, train, evaluate, and optimize machine learning models for business use cases.

- Develop scalable data processing pipelines and integrate AI models into enterprise applications.

- Deploy and monitor machine learning models using MLOps best practices.

- Containerize applications using Docker and support cloud-based deployments.

- Collaborate with data scientists, software engineers, and DevOps teams throughout the model lifecycle.

- Implement version control, code reviews, and CI/CD practices using Git.

- Troubleshoot production issues, optimize model performance, and ensure solution reliability.

- Document technical designs, deployment processes, and development standards.

Required Skills:

- 46 years of professional experience in Python development, AI, or automation.

- Strong programming expertise in Python with clean coding and debugging skills.

- Hands-on experience with core machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, or similar.

- Practical knowledge of MLOps concepts, including model deployment, monitoring, and lifecycle management.

- Experience with Docker for application containerization.

- Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

- Proficiency with Git for source code management and collaborative development.

- Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

- Experience with CI/CD pipelines and automation tools.

- Knowledge of REST APIs and microservices architecture.

- Familiarity with orchestration tools such as Kubernetes is an advantage.

- Exposure to Generative AI, LLMs, or NLP frameworks is a plus.

- Understanding of Agile/Scrum development methodologies.

Why Join Us :

- Work on cutting-edge AI and automation initiatives with real business impact.

- Build production-ready machine learning solutions using modern cloud and MLOps technologies.

- Collaborate with highly skilled engineering and data science teams.

- Gain opportunities for continuous learning, innovation, and career advancement.

Experience : 4-6 Years

Primary Skill : Python, AI & Automation

Employment Type : Full-Time