Generative AI & ML Scientist — Hybrid Role

Lonvec Technologies Private Limited; San Francisco (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Deloitte in San Francisco is seeking a Data Scientist / AI-ML Engineer to design, build, and deploy advanced analytics models that solve business challenges. The role emphasizes Generative AI, NLP, and scalable AI platforms, with hybrid work options across multiple US cities.

The candidate will collaborate with cross-functional teams to deliver production-grade AI solutions, focusing on model governance, accuracy, and performance improvements. Proficiency in Python and ML frameworks is essential.

Qualifications

• Proficiency in Python and ML frameworks for building AI/ML solutions.
• Experience with data analysis, feature engineering, and model deployment.
• Familiarity with Generative AI, NLP and large language models.

Responsibilities

• Develop and implement machine learning models for business applications.
• Perform data analysis, feature engineering, and model optimization.
• Build AI solutions using Python and ML frameworks.
• Work with Generative AI, NLP, and LLM-based applications.
• Train, evaluate, and deploy machine learning models.
• Analyze large datasets and generate actionable insights.
• Collaborate with data engineers and software teams for production deployment.
• Improve model accuracy, scalability, and performance.
• Apply best practices in AI development and model governance

Skills

Python programming

Machine learning

Deep learning

NLP

Generative AI

LLMs

TensorFlow

PyTorch

AWS SageMaker

Azure AI Services

MLOps

Model deployment

Data visualization

SQL

Tools

SageMaker

Azure AI Services

Job description

Deloitte in San Francisco is seeking a Data Scientist / AI-ML Engineer to design, build, and deploy advanced analytics models that solve business challenges. The role emphasizes Generative AI, NLP, and scalable AI platforms, with hybrid work options across multiple US cities.

The candidate will collaborate with cross-functional teams to deliver production-grade AI solutions, focusing on model governance, accuracy, and performance improvements. Proficiency in Python and ML frameworks is essential.