Gen AI Developer

Tata Consultancy Services Ltd

  • Seattle, WA
  • 11 days ago
  • $110,000–$130,000 Per Year

Highlights

Model Development and Deployment: Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications. System Monitoring and Maintenance: Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.

Numbers & Facts

LocationSeattle, WA
Salary$110,000–$130,000 Per Year

Description

Must Have Technical/Functional Skills

Experience:

  • Experience in machine learning, data science, or related fields.
  • Hands-on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs.
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
  • Familiarity with cloud environments (AWS Sagemaker, Azure ML, or GCP AI Platform).
  • Strong programming skills in Python (preferred) or similar languages.
  • Proficiency in using libraries like Hugging Face, LangChain, or NVIDIA BioNeMo.
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment.
  • Understanding of NLP, computer vision, or multimodal AI techniques.
  • Strong problem-solving skills and a passion for AI-driven innovation.
  • Experience with Retrieval-Augmented Generation (RAG) techniques and vector databases (e.g., Pinecone, Weaviate, Milvus).

Responsibilities

Model Development and Deployment:

  • Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications.
  • Train and optimize large language models (LLMs) for tasks such as natural language understanding, summarization, and conversational AI.
  1. Data Pipeline Management:
  • Develop and maintain robust data pipelines for model training and inference.
  • Clean, preprocess, and manage large-scale datasets to support AI projects.
  1. Integration and Scalability:
  • Implement ML models in production environments using tools like TensorFlow, PyTorch, or Hugging Face.
  • Optimize models for performance, scalability, and cost-efficiency on cloud platforms (AWS, Azure, GCP).
  1. Collaboration and Innovation:
  • Work with product managers, data engineers, and software developers to align AI solutions with business objectives.
  • Stay updated with the latest research and advancements in Gen AI and ML.
  1. System Monitoring and Maintenance:
  • Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.
  • Ensure systems meet ethical, privacy, and compliance standards

Salary Range: $110,000 - $130,000 per year

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Similar Jobs

See more jobs