Python Developer / ML Engineer

Title: Python Developer / ML Engineer
Location: New York(Hybrid)
Experience: 6 Years

Position Summary:
We are hiring a mid-to-senior level Python Developer / ML Engineer with strong SQL expertise to join our dynamic and collaborative team. This role focuses on building robust, scalable solutions using Python, with exposure to data-intensive and machine learning workloads. Candidates should have solid experience in backend development and a willingness to learn Azure cloud services and CI/CD practices.
Key Responsibilities:

• Develop and maintain scalable, high-performance Python applications and APIs (FastAPI)
• Collaborate with cross-functional teams to deliver features and resolve challenges
• Write clean, efficient, and maintainable code
• Conduct code reviews, testing, and debugging
• Optimize applications for speed, security, and scalability
• Work in Agile sprints with regular deployments
• Stay updated with the latest tech trends and suggest improvements

Required Qualifications:

• Bachelor s degree in Computer Science, Engineering, or equivalent experience
• 6 years of professional software development experience
• Strong SQL skills (complex queries, optimization, relational databases SQL Server/PostgreSQL)
• Strong Python skills (FastAPI, Pandas, NumPy, scripting/automation)
• Experience with Git, RESTful APIs, Docker
• Familiarity with Agile tools (e.g., Jira, Azure DevOps)
• Willingness to learn Azure services (e.g., App Services, Functions) and CI/CD pipelines (Azure DevOps)

Preferred / Bonus Skills:

• Experience with Databricks, Spark, and MLflow for data engineering and ML workloads
• Familiarity with job orchestration tools like Apache Airflow
• Hands-on knowledge of ML frameworks (scikit-learn, TensorFlow, or PyTorch)
• Experience in data wrangling, ETL pipelines, indexing, and stored procedures
• Exposure to RAG (Retrieval-Augmented Generation) and LLM integrations
• Azure Machine Learning experience is a strong plus

Role Focus:
Design and deliver Python-based solutions for data-driven applications, APIs, and machine learning workflows in a cloud-first, Agile environment.