Senior AI/ML Scientist: Recommender & LLM Systems

Tata Consultancy Services; Cincinnati (OH); On-site; USD 135,000 - 175,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support

Insurance Options

Convenience & Professional Growth

Time Off

Legal & Financial Assistance

Job summary

Tata Consultancy Services is looking for a skilled professional in Cincinnati, Ohio, to develop deep learning models for large-scale recommender systems. The role involves enhancing customer experiences through AI-driven solutions and cross-functional collaboration.

Applicants should have strong knowledge in machine learning frameworks like TensorFlow or PyTorch and experience with cloud platforms. A competitive salary range of $135,000 – $175,000 per year is offered along with comprehensive employee benefits.

Qualifications

• 2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or GCP.

Responsibilities

• Design and improve recommender systems for customer experiences.
• Apply Generative AI models to enhance personalization.
• Design and run A/B tests and segmentation-based experiments.
• Build and curate datasets to support ML and AI applications.
• Work closely with product owners and engineers to define solutions.

Skills

Deep learning models

TensorFlow or PyTorch

SQL

Python

Spark

Statistics

LLMs or Generative systems

Cloud platforms (Azure or GCP)

Data Engineering

MLOps

Job description

Tata Consultancy Services is looking for a skilled professional in Cincinnati, Ohio, to develop deep learning models for large-scale recommender systems. The role involves enhancing customer experiences through AI-driven solutions and cross-functional collaboration.

Applicants should have strong knowledge in machine learning frameworks like TensorFlow or PyTorch and experience with cloud platforms. A competitive salary range of $135,000 – $175,000 per year is offered along with comprehensive employee benefits.