Python Developer

Talentify; Fremont (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Talentify is seeking a Python developer in Fremont, CA to build production-grade AI/ML applications. The role focuses on strong coding fundamentals, data handling with NumPy and Pandas, and deployment in cloud environments.

You will work on data pipelines, model deployment, and performance tuning, leveraging frameworks like TensorFlow, PyTorch, or Scikit-learn. This long-term contract position requires hands-on programming and scalable solution design.

Qualifications

• 3+ years of hands on experience as a Python developer.
• Proven experience building production-grade Python applications.
• Strong programming foundations: data structures, algorithms, OOP.

Responsibilities

• Develop production-grade Python applications for AI/ML workloads.
• Build and maintain data pipelines for large datasets (ETL, preprocessing).
• Design and optimize data schemas, queries, and data access patterns.

Skills

3+ years experience

Python development

AI/ML fundamentals

TensorFlow/PyTorch/Scikit-learn

NumPy and Pandas

SQL databases

Model deployment & cloud

Docker/Kubernetes

Debugging & performance tuning

Job description

Job Title : Python developer

Location : Fremont CA

Duration : Long Term Contract

Top Requirements

• 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

Key Focus Areas

• 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 maintainability and performance
• Cloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes