C12 Python Backend Developer

Overview In this hybrid, contract-to-hire role, you will design and implement robust Python-based backend solutions and lead global tech teams. You’ll drive OO programming, mentor developers, and shape system architecture to deploy new products and process improvements. You’ll tackle high-impact problems in data science and ML-enabled applications while ensuring quality through TDD and automated tests. This position blends backend engineering with ML modeling within a financial services context, offering meaningful scope and cross-team collaboration. Compensation / Benefitshybrid work modelcontract-to-hire arrangementcompetitive rate $72/hropportunity to lead global teamsexposure to ML/AI initiatives ResponsibilitiesArchitect and implement Python-based solutionsLead global technology teams across time zones in a hybrid setupMentor mid-level developers and analysts on advanced Python techniquesCollaborate with management to align functions with goals and drive system enhancementsResolve high-impact problems through deep evaluation of business and system processesAdhere to architecture blueprints and coding/testing standardsUnderstand integration of architecture and infrastructure to meet business goalsProvide deep analysis to define issues and devise innovative solutionsProvide guidance and coaching to team membersUse shell scripts and Linux features; participate in unit testing and TDDAssess risk and ensure compliance with laws, rules, and regulations; maintain ethical conductDemonstrate proactivity and independence within team context Key requirementsPhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field5+ years of experience as a data scientist with ML Modeling, Ranking, Recommendations, or Personalization systems5+ years designing and developing scalable ML systems for training, inference, monitoring, and iterationStrong background in ML/DL/LLM algorithms, architectures, and training techniquesProficiency in Python, SQL, Spark, PySpark, TensorFlow or equivalentProficiency with tools and LLMsAbility to work independently and collaboratively in a teamproactiveability to work both independently and with teamsstrong advisory/mentoring skillsPythonSQLSpark