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.
- 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.
- 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).
- 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.
- 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.