Gen AI Developer
Tata Consultancy Services · Seattle, WA · 1 mo ago
Engineering$110k–$130k/yrFull-time
Technical/Functional Skills
- Experience in machine learning, data science, or related fields.
- Hands‑on experience with generative models (e.g., GANs, VAEs, diffusion models) and large language models (LLMs).
- Experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
- Familiarity with cloud environments (AWS SageMaker, Azure ML, or GCP AI Platform).
- Strong programming skills in Python (preferred) or similar languages.
- Proficiency with 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
- Design, fine‑tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications.
- Train and optimize large language models for tasks such as natural language understanding, summarization, and conversational AI.
- Develop and maintain robust data pipelines for model training and inference, including cleaning, preprocessing, and managing large‑scale datasets.
- 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).
- Collaborate with product managers, data engineers, and software developers to align AI solutions with business objectives.
- Stay updated with the latest research and advancements in generative AI and machine learning.
- Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.
- Ensure systems meet ethical, privacy, and compliance standards.
Qualifications
- Bachelor of Computer Science
Pay
Salary Range: $110,000 – $130,000 per year
Benefits
- 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, Sick Leave, Holidays
- Legal & Financial Assistance: Legal Assistance, 401(k) Plan, Performance Bonus, College Fund, Student Loan Refinancing