Location: Fremont, CA must be onsite 5 days a week (Local only)
Bill Rate: $65/hr on C2C
USC, GC, GC EAD, H4 EAD, TN
In-person Interview
Slots - Friday 03/27 between 10-5 or Wednesday 04/01 between 10-5
Need Genuine LinkedIn- NO RECENT OR MULTIPLE LINKEDIN
Must have Visa Copy with the submission (FOR GC and EADs)
Must have full educational details with University Name and year of completion in resume.
WITHOUT ABOVE MENTIONED PREREQUISITE RESUME WILL BE DEEMED AS FAKE.
When submitting candidates, please make sure to follow the process:
We are looking for Sr candidates 5-10 years of experience.
Team: 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.
Day-to-Day:
· Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks
· Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization
· Build and optimize data pipelines for training, validating, and deploying machine learning models at scale
· Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions
· Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables
· Optimize AI/ML workloads for speed and scalability across distributed computing environments
· Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems
· 3+ years of hands on experience
· Proven experience as a Python Developer with hands-on expertise in building production-grade applications
· Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design)
· Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
· Proficiency in data handling and manipulation using libraries like NumPy and Pandas
· Experience with SQL databases for managing and accessing training data
· Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or GCP)
· Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred)
· Strong debugging, optimization, and performance-tuning skills for both code and AI models
· Python Development: Core programming language for AI/ML applications
· AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn
· Data Pipelines: ETL, preprocessing, and feature engineering for large datasets
· SQL Databases: Schema design, query optimization, and handling structured data
· Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions
· Hands-On Programming: Strong coding discipline with emphasis on maintaina bility and performance
· Cloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes
Interested in this role?