Senior AI/ML Engineer
Infosys Pontoon•Sunnyvale, CA
•Hybrid
About The Position
We are seeking a highly skilled Senior AI/ML Engineer to join our team in Sunnyvale, CA. This hybrid role requires a strong programming background in Python and a deep understanding of Machine Learning algorithms and Deep Learning frameworks. You will work hands-on with Generative AI/LLMs, Prompt Engineering, and RAG frameworks. The role involves data processing, model deployment in cloud environments, and MLOps practices. Experience in client-facing delivery and API development is also essential.
Requirements
- Strong programming experience in Python
- Solid understanding of Machine Learning algorithms
- Solid understanding of Deep Learning frameworks (PyTorch / TensorFlow)
- Hands-on experience with Generative AI / LLMs (OpenAI, Azure OpenAI, open-source models)
- Experience with Prompt Engineering, RAG, LangChain / Semantic Kernel / similar frameworks
- Data processing using Pandas, NumPy, SQL, PySpark
- Experience building and deploying models in cloud environments (Azure / AWS / GCP)
- Experience with MLOps (model versioning, CI/CD, monitoring)
- Exposure to vector databases and semantic search
- Knowledge of responsible AI, data ethics, and bias mitigation
- Experience in client-facing delivery environments
- Familiarity with API development and microservices architecture
- 7 Years of experience in Machine Learning
- 7 Years of experience in AI
- 7 Years of experience in Python
Responsibilities
- Develop and implement machine learning models.
- Utilize Deep Learning frameworks like PyTorch or TensorFlow.
- Work with Generative AI and LLMs, including OpenAI, Azure OpenAI, and open-source models.
- Apply Prompt Engineering techniques and frameworks such as RAG, LangChain, or Semantic Kernel.
- Process data using Pandas, NumPy, SQL, and PySpark.
- Build and deploy models in cloud environments (Azure, AWS, GCP).
- Implement MLOps practices including model versioning, CI/CD, and monitoring.
- Work with vector databases and semantic search.
- Incorporate responsible AI principles, data ethics, and bias mitigation into projects.
- Engage in client-facing delivery.
- Develop APIs and work with microservices architecture.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
