Job Title: Python Developer
Duration: 12 month, with extension / conversion
Location: Fremont, CA must be onsite 5 days a week
Work Authorization: Open to all
Interview Process: 2 rounds of interview:
1st round 45 minutes video call (10 minutes intro, rest hands on coding)
2nd round: face to face at client's office in Fremont, CA
Reason for position: Looking to add help to projects.
Team Overview:
Diverse team with a mix of Senior, Mid-level, and Junior Developers working in a POD model structure. The QA team operates independently. The environment is fully Agile with biweekly sprints and releases, and it moves at an extremely fast pace.
Duties/Day to Day Overview
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Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks.
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Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization.
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Build and optimize data pipelines for training, validating, and deploying machine learning models at scale.
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Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions.
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Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables.
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Optimize AI/ML workloads for speed and scalability across distributed computing environments.
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Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems.
Top Requirements: (Must haves)
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4+ years of hands on experience
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Proven experience as a Python Developer with hands-on expertise in building production-grade applications
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Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design)
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Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
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Proficiency in data handling and manipulation using libraries like NumPy and Pandas
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Experience with SQL databases for managing and accessing training data
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Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or Google Cloud Platform)
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Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred)
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Strong debugging, optimization, and performance-tuning skills for both code and AI models
Key Focus Areas
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Python Development: Core programming language for AI/ML applications
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AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn
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Data Pipelines: ETL, preprocessing, and feature engineering for large datasets
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SQL Databases: Schema design, query optimization, and handling structured data
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Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions
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Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance
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Cloud & Deployment (Preferred): AWS/Google Cloud Platform/Azure, Docker, Kubernetes
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