What are the responsibilities and job description for the AI Engineer position at TCS USAAvance Consulting ?
Must Have Technical / Functional Skills
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or JAX. Hands-on experience with Generative AI models, including Large Language Models (LLMs), diffusion models, or GANs. Proficiency with NLP techniques, transformers (e.g., BERT, GPT, T5), and multimodal AI models. Experience in prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback). Familiarity with model deployment techniques using APIs, microservices, and containerization (Docker, Kubernetes). Knowledge of vector databases (e.g., Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG). Exposure to cloud platforms (AWS, Azure, GCP) and AI services like OpenAI, Anthropic, or Hugging Face. Understanding of ethical AI, bias mitigation, and responsible AI practices. Proficiency in working with large-scale datasets and applying data augmentation techniques. Familiarity with MLOps, model versioning, monitoring, and lifecycle management. Experience Required
Minimum 2 years of experience in developing AI / ML models, with at least 1 year focused on Generative AI. Hands-on experience in training, fine-tuning, and deploying generative models in production environments. Exposure to working with pre-trained foundation models and customizing them for business applications. Experience in integrating AI models into software applications and APIs. Experience with cloud-based AI / ML services and deployment architectures. Roles & Responsibilities
Design, build, and fine-tune Generative AI models for real-world applications. Work with LLMs and other generative architectures to develop intelligent solutions for text, image, and multimodal tasks. Optimize AI models for efficiency, performance, and scalability in production environments. Develop AI-powered applications using Retrieval-Augmented Generation (RAG) and vector search. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Ensure AI models align with ethical AI guidelines, bias detection, and regulatory compliance. Stay updated with the latest advancements in Generative AI and integrate innovative approaches into projects. Implement MLOps best practices to automate AI model deployment and monitoring. Document model development, performance bench marks, and best practices. Generic Managerial Skills
Strong problem-solving and critical-thinking abilities. Effective communication skills to explain AI concepts to technical and non-technical stakeholders. Ability to work independently while collaborating with diverse teams. Adaptability to emerging AI technologies and willingness to experiment with new approaches. Strong time management and project management skills. Attention to detail and commitment to delivering high-quality AI
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