AWS Python ML Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AWS Python ML Developer - Lead" on a contract basis in Malvern, PA, requiring 10+ years of experience, strong AWS and Python skills, and familiarity with AI/ML concepts. Pay rate and contract length are unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Malvern, PA
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🧠 - Skills detailed
#Python #IAM (Identity and Access Management) #ChatGPT #Databases #Cloud #Unit Testing #API (Application Programming Interface) #Unsupervised Learning #AWS (Amazon Web Services) #Deployment #React #Supervised Learning #Model Evaluation #AWS Machine Learning #SageMaker #Deep Learning #Automation #JavaScript #DynamoDB #Security #Monitoring #Lambda (AWS Lambda) #ML (Machine Learning) #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service)
Role description
Role :: AWS Python ML Developer -Lead Location: Malvern, PA (Hybrid- 3 days a week onsite & must be willing to relocate and be onsite on day 1) Duration : Contract May require in-person interview at Malvern, PA/ Charlotte, NC/ Dallas, TX Any Visa is okay Responsibilities β€’ Provides senior level system analysis, design, development, and implementation of applications and databases. Integrates third party products. β€’ Translates technical specifications into code for complex new or enhancement projects for internal clients. Writes programs, develops code, tests artifacts, and produces reports. Employs software development techniques to ensure tests are implemented in a way that supports automation. β€’ Elevates code into the development, test, and production environments on schedule. Provides follow up production support. Submits change control requests and documents. β€’ Thoroughly understands software development methodology. Thoroughly understands development architecture standards. β€’ Trains and mentors' staff with less experience. Resolves elevated issues. β€’ Participates in design, code, and test inspections throughout the life cycle to identify issues. Explains technical considerations at related meetings, including those with internal clients. Performs systems analysis activities. β€’ Thoroughly understands client business functions and technology needs. Has a broad understanding of Vanguard's technologies, tools, and applications, including those that interface with business areas and systems. β€’ Interfaces with cross functional team members and communicates systems issues at the appropriate technical level for each audience. β€’ Thoroughly understands and complies with Information Technology and Information Security policies and procedures and verifies that deliverables meet requirements. Qualification 10+ years of industry experience β€’ Hands-on knowledge of Vanguard's AWS services, with experience and awareness of features such as Lambda, DynamoDB, S3, Glue, IAM, CloudFormation, and other AWS services. β€’ Strong proficiency in Python coding and development skills, including unit testing and end-to-end testing. β€’ Proficient in JavaScript and React UI development. β€’ Experience in API development. Role Overview The role centers on AWS and Python development, with a strong back-end focus. While some front-end work in React is expected, it is secondary. The position also includes exposure to AI/ML technologies, supporting the build of an internal virtual advisor platform (similar to a ChatGPT-style copilot for financial queries). Ideal Candidate Profile β€’ Strong AWS and Python development experience β€’ Familiarity with AI/ML lifecycle (data prep, training, deployment, monitoring) β€’ - Model Development Lifecycle stages: Data Preparation, Training, Evaluation, Hosting and Monitoring β€’ AI/ML Concepts: Supervised learning, unsupervised learning, deep learning, and model evaluation techniques β€’ - Model Development Lifecycle stages: Data Preparation, Training, Evaluation, Hosting and Monitoring β€’ AI/ML Concepts: Supervised learning, unsupervised learning, deep learning, and model evaluation techniques β€’ React UI experience (lighter need) β€’ AWS Machine Learning Specialty certification nice-to-have β€’ SageMaker knowledge nice-to-have, not core Interview Process β€’ Two interview rounds minimum: β€’ Round 1: Technical interview β€’ Round 2: Behavioral or combined technical/behavioral Additional Notes β€’ Candidates with previous Vanguard experience may be considered if performance was strong and they demonstrate growth or potential alignment with current ML initiatives β€’ Preference for concise, well-structured resumes (avoid filler)--- LESS THAN 3 PAGES Candidates must be fully bought into relocation and RTO expectations any wavering on this will be a dealbreaker Please share your Updated Resume at yashwant@kanakits.com