Python ML Engineer

Job Description: Mid-Senior Python Developer (Python/ML Engineer) Location- NYC Preferred/ Dallas TX Hybrid- 3 days per week onsite Number of positions- 1 6+ month contract Interview- Video Payrate- $55 to 70/hr Tech Stack- Python, SQL, Azure ML, CICD etc Position Summary We are hiring a mid-senior level Python Developer (Python/ML Engineer) to join our team. This role requires strong SQL proficiency and a willingness to quickly learn CI/CD practices and Azure cloud services if not already experienced. This position emphasizes collaboration, cross-training, and delivering high-quality solutions in an agile environment. Key Responsibilities • Design, develop, and maintain robust, scalable software solutions. • Collaborate with cross-functional teams to deliver features and resolve technical challenges. • Write clean, efficient, and maintainable code following best practices. • Participate in code reviews, testing, and debugging to ensure high-quality deliverables. • Optimize applications for performance, scalability, and security. • Stay current with industry trends and contribute to continuous improvement. • Work in an agile environment with regular sprints and deployments. Required Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • 6+ years of professional software development experience (mid-senior level). • Strong proficiency in SQL (e.g., writing complex queries, database design, and optimization with relational databases like SQL Server or PostgreSQL). • Excellent problem-solving skills and attention to detail. • Strong communication and teamwork abilities. • Willingness to learn and adopt new technologies quickly, including CI/CD Azure pipelines (Azure DevOps) and Azure services (e.g., App Services, Functions) if not already proficient. • Experience with version control systems (e.g., Git). • Knowledge of RESTful APIs, microservices architecture, and containerization (e.g., Docker). • Familiarity with agile methodologies and tools like Jira or Azure DevOps. Role-Specific Skillsets • Core Expertise: • Strong experience in Python (e.g., FastAPI for web APIs, data processing with Pandas/NumPy, scripting/automation). • Familiarity with Databricks for data engineering and ML workloads (e.g., Spark, MLflow, or similar). • Additional Skills: Experience with Python-based job orchestration (e.g., Apache Airflow) and machine learning frameworks (e.g., TensorFlow, PyTorch, or scikit-learn); advanced SQL skills (e.g., query optimization, stored procedures, indexing strategies, ETL processes); data wrangling skills (e.g., cleaning, transforming, and analyzing large datasets using tools like Pandas or SQL). • Experience in RAG (Retrieval-Augmented Generation) and/or LLM integrations is a strong plus. • Nice-to-Have: Azure for Python-based services (e.g., Azure Machine Learning). • Role Focus: This role drives Python-based solutions, focusing on data-intensive applications, ML workloads, and API development with FastAPI.