Python / ML Engineer (no C2c)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python / ML Engineer in Indianapolis (Hybrid) with a contract length of over 6 months, offering competitive pay. Requires 5+ years of Python experience, expertise in ML libraries (NumPy, Pandas, SciPy, PyTorch), and familiarity with cloud platforms and containerization.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 20, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Corp-to-Corp (C2C)
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Indianapolis, IN
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🧠 - Skills detailed
#Datasets #HBase #Deployment #Cloud #Model Optimization #Mathematics #Docker #GIT #Documentation #Base #Scala #SciPy #NumPy #Python #GCP (Google Cloud Platform) #DevOps #AWS (Amazon Web Services) #ML (Machine Learning) #PyTorch #Data Processing #Version Control #Computer Science #Libraries #Code Reviews #Pandas #Data Science #Azure #Data Pipeline
Role description
Job Title: Python & ML Scientific Computing Engineer Location: Indianapolis, Hybrid Industry: Pharmaceutical JOB DESCRIPTION: Theoris is a seeking a highly motivated Software Engineer with strong expertise in Python and machine learning/scientific computing to join our team. This role focuses on enhancing the quality, performance, and maintainability of our codebase used in data-driven and computational applications. You will collaborate with data scientists, researchers, and engineers to refactor, optimize, and scale ML and scientific computing workflows. RESPONSIBILITIES: β€’ Refactor and optimize existing Python codebases for performance, readability, and maintainability. β€’ Collaborate with ML and scientific computing teams to improve model training pipelines and data processing workflows. β€’ Implement best practices for software engineering, including testing, documentation, and version control. β€’ Develop reusable components and libraries using NumPy, Pandas, SciPy, and PyTorch. β€’ Conduct code reviews and mentor team members on clean coding principles and efficient computational techniques. β€’ Identify bottlenecks in ML and scientific workflows and propose scalable solutions. β€’ Work closely with DevOps and infrastructure teams to ensure smooth deployment and integration. REQUIREMENTS: β€’ Bachelor’s or master’s degree in computer science, Engineering, Applied Mathematics, or a related field. β€’ 5+ years of professional experience in Python development. β€’ Strong experience with scientific computing libraries such as NumPy, Pandas, SciPy, and PyTorch. β€’ Solid understanding of software engineering principles, including modular design, testing, and CI/CD. β€’ Experience working with large datasets and optimizing data pipelines. β€’ Familiarity with version control systems (e.g., Git) and collaborative development workflows. β€’ Experience with ML model optimization and deployment. β€’ Knowledge of performance profiling tools and techniques. β€’ Familiarity with containerization (Docker) and cloud platforms (AWS, GCP, Azure). β€’ Contributions to open-source scientific or ML libraries. About Theoris: Our goal is to Fuel Your Career! As a Theoris team member, you join a culture based on people-centered values and an environment that fosters both personal and professional growth. We build long-term relationships with our clients and our consultants. With over 30 years of building strong relationships in the industry, we’re uniquely positioned to make the right connections. This knowledge is used to find the right job placement. Our recruiting teams are experts dedicated to the information technology and engineering staffing space and are highly respected by our client base. Best-In-Class-Benefits We are in the people business; treating people right is our ONLY priority. Theoris Services consultants are full-time employees with full benefits, including: β€’ Robust Health Insurance β€’ 401(k) plan β€’ PTO accrual β€’ Paid holidays β€’ Excellent cash-based referral program