Python Engineer (AI/ML Specialist)

Job Title: Python Engineer AI/ML Specialist

Location: Pune

Job Type: Full Time.

Job Description:

We are looking for an experienced Python Engineer who has a robust background in AI/ML development and is proficient in managing and deploying Azure-based AI services. The ideal candidate will possess at least 4 years of hands-on experience in Python programming, with a deep understanding of AI/ML frameworks and a logical mindset for developing complex solutions.

Key Responsibilities:

• Develop, implement, and maintain AI/ML models and solutions using Python.
• Utilize Azure-based AI services to build and deploy scalable solutions.
• Manage and optimize Azure cloud resources and services.
• Collaborate with cross-functional teams to integrate AI/ML solutions into various applications.
• Apply problem-solving skills to troubleshoot issues and improve system performance.
• Document and communicate development processes, code, and best practices.
• Stay updated with the latest advancements in AI/ML and Azure technologies.

Qualifications:

• Bachelors degree in Computer Science, Engineering, or a related field. Advanced degree preferred.
• Minimum of 4 years of professional experience in Python programming with a focus on AI/ML development.
• Demonstrated expertise in working with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficient in handling Azure-based AI services, including but not limited to Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
• Proven experience in deploying and managing applications and services on Azure.
• Strong logical thinking and problem-solving skills, with the ability to develop and optimize complex solutions.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Preferred Skills:

• Experience with other cloud platforms (AWS, Google Cloud) is a plus.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Knowledge of data engineering and data processing techniques.