

Python ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python ML Engineer on a 6+ month contract, hybrid in NYC or Dallas, with a pay rate of $55 to $70/hr. Requires strong SQL, Python expertise, and familiarity with Azure ML, CI/CD, and agile methodologies.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
560
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ποΈ - Date discovered
August 2, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#MLflow #GIT #SQL (Structured Query Language) #Agile #Pandas #Azure #PostgreSQL #Database Design #Data Wrangling #Jira #TensorFlow #Computer Science #Debugging #Version Control #Automation #DevOps #Airflow #Databases #Data Processing #Indexing #Python #Scala #"ETL (Extract #Transform #Load)" #Cloud #Data Engineering #Security #SQL Server #Code Reviews #Datasets #Scripting #ML (Machine Learning) #Azure Machine Learning #Azure DevOps #FastAPI #Deployment #PyTorch #Databricks #Spark (Apache Spark) #Apache Airflow #Azure cloud #API (Application Programming Interface) #Web API #Complex Queries #NumPy #Docker #Microservices
Role description
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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
β’ Design, develop, and maintain robust, scalable software solutions.
β’ Collaborate with cross-functional teams to deliver features and resolve technical challenges.
β’ Write clean, efficient, and maintainable code following best practices.
β’ Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
β’ Optimize applications for performance, scalability, and security.
β’ Stay current with industry trends and contribute to continuous improvement.
β’ Work in an agile environment with regular sprints and deployments.
Required Qualifications
β’ Bachelorβs degree in Computer Science, Engineering, or a related field (or equivalent experience).
β’ 6+ years of professional software development experience (mid-senior level).
β’ Strong proficiency in SQL (e.g., writing complex queries, database design, and optimization with relational databases like SQL Server or PostgreSQL).
β’ Excellent problem-solving skills and attention to detail.
β’ Strong communication and teamwork abilities.
β’ 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.
β’ Experience with version control systems (e.g., Git).
β’ Knowledge of RESTful APIs, microservices architecture, and containerization (e.g., Docker).
β’ Familiarity with agile methodologies and tools like Jira or Azure DevOps.
Role-Specific Skillsets
β’ Core Expertise:
β’ Strong experience in Python (e.g., FastAPI for web APIs, data processing with Pandas/NumPy, scripting/automation).
β’ Familiarity with Databricks for data engineering and ML workloads (e.g., Spark, MLflow, or similar).
β’ 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).
β’ Experience in RAG (Retrieval-Augmented Generation) and/or LLM integrations is a strong plus.
β’ Nice-to-Have: Azure for Python-based services (e.g., Azure Machine Learning).
β’ Role Focus: This role drives Python-based solutions, focusing on data-intensive applications, ML workloads, and API development with FastAPI.