Job Title: AI/ML Engineer (Full-time & W2 only not for C2C)
Location: San Jose, CA
Work Model: Remote
Experience Required: 10–15 Years
Job Summary
We are seeking an experienced AI/ML Engineer with a strong background in Machine Learning, Data Science, Generative AI, and AI Agent frameworks. The ideal candidate will have extensive hands-on experience designing, developing, and deploying scalable machine learning solutions, with deep expertise in TensorFlow, Python, and modern AI technologies.
This role requires a highly motivated professional who can collaborate with cross-functional teams, build production-ready AI solutions, optimize model performance, and drive innovation using the latest advancements in Artificial Intelligence and Machine Learning.
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models using TensorFlow and Keras.
- Build and implement Generative AI and Agentic AI solutions for complex business use cases.
- Collaborate with business stakeholders, data engineers, and software development teams to gather requirements and translate them into scalable AI solutions.
- Perform data analysis, data preprocessing, feature engineering, and model validation.
- Optimize and fine-tune machine learning models for performance, accuracy, and scalability.
- Develop and maintain ML pipelines for training, testing, deployment, and monitoring.
- Deploy AI/ML solutions on cloud platforms such as AWS or Google Cloud Platform (Google Cloud Platform).
- Stay current with emerging AI technologies, LLMs, Agentic AI frameworks, and industry best practices.
- Document technical designs, methodologies, and implementation processes.
- Mentor junior engineers and contribute to technical leadership initiatives.
Required Skills
- 10+ years of overall IT experience with strong expertise in AI/ML Engineering.
- Extensive experience with TensorFlow, Keras, and related ML ecosystems.
- Strong programming skills in Python.
- Hands-on experience with NumPy, Pandas, Scikit-learn, and other ML libraries.
- Solid understanding of supervised and unsupervised learning techniques.
- Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, and Agentic AI frameworks.
- Strong knowledge of data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
- Experience deploying ML models in production environments.
- Familiarity with cloud platforms such as AWS and Google Cloud Platform (Google Cloud Platform).
- Knowledge of MLOps practices and model lifecycle management.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Master''s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience working with modern AI frameworks and LLM technologies.
- Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
- Exposure to AI governance, model monitoring, and responsible AI practices.
Education
- Bachelor''s or Master''s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Why Join Us?
- Opportunity to work on cutting-edge AI, Generative AI, and Agentic AI initiatives.
- Collaborative and innovative work environment.
- Exposure to enterprise-scale AI implementations and advanced machine learning technologies.
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