Python Developer (Machine Learning) F2F drive on13th July

Job Title: Python Developer (Machine Learning)

Location: Fremont, CA 94538
Work Arrangement: Onsite 5 Days/Week

Job Summary

We are seeking a highly skilled Python Developer with strong Machine Learning expertise to design, develop, and deploy scalable AI solutions supporting enterprise service and customer support applications. The ideal candidate will have hands-on experience building production-grade machine learning models, working with diverse datasets, and collaborating with cross-functional teams to solve complex business problems. This role requires a strong software engineering mindset, deep Python expertise, and experience taking ML models from research through production.

Key Responsibilities

• Design, develop, and implement machine learning models for service and customer support applications using techniques such as supervised learning, convolutional neural networks (CNNs), and modern ML frameworks.
• Build scalable AI solutions by leveraging Python, PyTorch, Pandas, and other data science libraries.
• Collaborate with service operations, customer support, and business stakeholders to identify challenges and develop data-driven solutions.
• Own the deployment, monitoring, and maintenance of production machine learning models, including implementing alerting and monitoring systems.
• Work with structured and unstructured datasets, including text, voice, images, and tabular data, to develop predictive and intelligent applications.
• Translate ambiguous business requirements into end-to-end machine learning solutions.
• Develop clean, modular, reusable, and production-ready code following software engineering best practices.
• Participate in Agile development processes, including sprint planning, code reviews, testing, and continuous improvement.
• Optimize model performance, scalability, and reliability for enterprise production environments.
• Collaborate closely with software engineers, data scientists, and product teams to deliver high-quality AI-powered applications.

Required Qualifications

• Strong expertise in Python programming for high-performance and data-intensive applications.
• Hands-on experience with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX.
• Experience developing and deploying production machine learning systems.
• Knowledge of supervised learning, deep learning, convolutional neural networks (CNNs), and model evaluation techniques.
• Strong understanding of statistics, model validation, and performance comparison methodologies.
• Experience working with heterogeneous datasets including text, images, voice, and tabular data.
• Familiarity with large language models (LLMs), recommender systems, or operations research is highly preferred.
• Passion for writing clean, maintainable, and scalable production code.
• Experience working in Agile/Scrum development environments.
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience).

Preferred Skills

• Experience deploying ML models into production environments.
• Knowledge of MLOps concepts, model monitoring, and automated alerting.
• Strong problem-solving skills with the ability to work independently on complex and ambiguous challenges.
• Excellent communication and collaboration skills within cross-functional engineering teams.