Data Scientist / AI-ML Engineer

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

Data Scientist / AI-ML Engineer

Artificial Intelligence | Machine Learning | Data Science | Generative AI Full-time Hybrid

Location

San Francisco, CA | Seattle, WA | Boston, MA | Austin, TX | New York, NY

Deloitte is seeking talented Data Scientists and AI/ML Engineers to develop innovative artificial intelligence and machine learning solutions. The role involves designing, building, and deploying advanced analytics models that help organizations solve complex business challenges.The ideal candidate should have strong experience in machine learning, data analysis, AI frameworks, and cloud-based AI platforms. The candidate will work with cross-functional teams to build scalable AI solutions and leverage emerging technologies such as Generative AI and Large Language Models.

• 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

Requirements

• Python Programming Machine Learning Algorithms Deep Learning Artificial Intelligence (AI) TensorFlow / PyTorch Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Predictive Analytics SQL Data Visualization Statistics & Data Modeling AWS SageMaker / Azure AI Services MLOps & Model Deployment