Job Description
We are seeking a Senior Python Developer to design, build, and deploy robust machine learning and AI-driven services. You will collaborate with data scientists, data teams, and product teams to translate models and prototypes into scalable, production-grade APIs and applications. This is a hands-on engineering role with significant impact on our AI/ML platform and product offerings.
Employment Details
• 6-month Contract
• W2 only
• Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future
Key Responsibilities
• Develop and deploy Python-based APIs and microservices for machine learning and AI solutions, ensuring scalability, reliability, and maintainability.
• Collaborate with AI/ML teams to productionize ML models (e.g., regression, classification, NLP, GenAI) and integrate them into business applications.
• Automate model lifecycle management including versioning, deployment, monitoring, and retraining using MLOps best practices.
• Implement and enforce data integrity, normalization, and reconciliation processes, leveraging tools like Great Expectations or custom validation logic.
• Ensure robust testing, monitoring, and observability for all deployed services, including logging, metrics, and alerting.
• Develop and optimize high-performance SQL and NoSQL queries for large-scale data warehousing and transactional systems.
• Champion Agile software engineering practices and participate in code reviews, sprint planning, and continuous integration/deployment processes.
Minimum Qualifications
• 5+ years of experience in application development using Python, Scala (and/or Java).
• 2+ years of hands-on experience with a public cloud platform (AWS, Azure, or Google Cloud)
• 2+ years of experience with NoSQL databases (e.g., MongoDB) and one relational database (e.g., PostgreSQL, MySQL, Oracle).
Technical Expertise
• Advanced Python: Deep expertise in Python, memory management, and high-performance libraries for processing multi-gigabyte flat files.
• Data Integrity & Normalization: Experience with financial data types, floating-point arithmetic pitfalls, and building automated reconciliation tools.
• GenAI Ops: Practical experience hosting and querying private LLMs (e.g., GPT, Opus, Llama 3) for code-translation and automation tasks.
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
Preferred Qualifications
• Experience in creating and deploying AI Agents.
• Familiarity with financial data and regulatory requirements.
• Strong communication and mentoring skills.
Employment Details
• 6-month Contract
• W2 only
• Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future
Key Responsibilities
• Develop and deploy Python-based APIs and microservices for machine learning and AI solutions, ensuring scalability, reliability, and maintainability.
• Collaborate with AI/ML teams to productionize ML models (e.g., regression, classification, NLP, GenAI) and integrate them into business applications.
• Automate model lifecycle management including versioning, deployment, monitoring, and retraining using MLOps best practices.
• Implement and enforce data integrity, normalization, and reconciliation processes, leveraging tools like Great Expectations or custom validation logic.
• Ensure robust testing, monitoring, and observability for all deployed services, including logging, metrics, and alerting.
• Develop and optimize high-performance SQL and NoSQL queries for large-scale data warehousing and transactional systems.
• Champion Agile software engineering practices and participate in code reviews, sprint planning, and continuous integration/deployment processes.
Minimum Qualifications
• 5+ years of experience in application development using Python, Scala (and/or Java).
• 2+ years of hands-on experience with a public cloud platform (AWS, Azure, or Google Cloud)
• 2+ years of experience with NoSQL databases (e.g., MongoDB) and one relational database (e.g., PostgreSQL, MySQL, Oracle).
Technical Expertise
• Advanced Python: Deep expertise in Python, memory management, and high-performance libraries for processing multi-gigabyte flat files.
• Data Integrity & Normalization: Experience with financial data types, floating-point arithmetic pitfalls, and building automated reconciliation tools.
• GenAI Ops: Practical experience hosting and querying private LLMs (e.g., GPT, Opus, Llama 3) for code-translation and automation tasks.
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
Preferred Qualifications
• Experience in creating and deploying AI Agents.
• Familiarity with financial data and regulatory requirements.
• Strong communication and mentoring skills.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Python Developer - W2 Only position is now open for candidates interested in the Software Developer Jobs sector. This role in Chicago offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.