Artificial Intelligence/Machine Learning Engineer (5-6 yrs)

Role : AI/ML Engineer.

Requirements :

- Data extraction, retrieval & summarization using LLMs.

- Knowledge about graph.

- Integrating RAG and implementing efficient vectorization.

- Optimizes LLM API calls for specific querying tasks.

- Knows LLM API optimization techniques like time to first token, time between token, retry, error handling etc.

- Knows about prompt engineering.

- Hands-on exp on fast api with python.

- Knowledge on react framework and how PWA works.

- Fine tuning LLM calls, nice to have.

- Minimum 5 years of experience in machine learning engineering and AI development.

- Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc.

- Solid experience in natural language processing (NLP) language models, text generation, sentiment analysis, etc.

- Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc.

- Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.

- Experience in MLOps and ML model deployment pipelines.

- Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.

- Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment.

- Experience with data processing, feature engineering, and model training on large datasets.

- Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation.

- Understanding of software engineering best practices and applying them to ML systems.

- Experience with an agile development environment.

- Exposure in tools/framework to monitor and analyse ML model performance and data accuracy.

- Strong problem-solving, analytical, and communication abilities.

- Bachelor's or master's degree in computer science, AI, Statistics, Math or related fields.