AI/ML Engineer

<div style="-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr; color: rgb(0, 0, 0); font-family: ;"><div style="-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr; color: rgb(0, 0, 0); font-family: ;"><div><div><p><strong>Responsibilities:</strong></p><ul><li>Develop and implement machine learning models and LLMs, optimizing them for real-world deployment</li><li>Fine-tune and optimize large language models (LLMs) to enhance performance and scalability</li><li>Work with AI development frameworks like LangChain, PyTorch, Keras, etc. for AI-driven applications</li><li>Design and develop machine learning algorithms and deep learning applications and systems</li><li>Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks</li><li>Train and monitor machine learning systems and models as needed</li><li>Design and implement embedding-based similarity algorithms to improve AI-powered search and retrieval</li><li>Implement Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation</li><li>Utilize vector databases (e.g. Chroma, Pinecone, Weaviate, etc.) to support efficient data retrieval</li><li>Develop and deploy AI/ML pipelines</li><li>Work with frameworks like FastAPI, Flask, or Django to integrate AI models into applications</li><li>Collaborate with Data Engineers to integrate AI models with Vector databases and conventional Databases</li><li>Optimize AI inference for low latency and high scalability in production environments</li><li>Implement AI security best practices to mitigate risks like adversarial attacks</li><li>Stay up to date with advancements in LLMs, ML, AI search, and model deployment strategies</li></ul><p><strong>Skills and Requirements:</strong></p><ul><li>Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field</li><li>Strong proficiency in Python for AI/ML development</li><li>Hands-on experience with LLMs and transformer-based architectures</li><li>Hands-on experience with ML based development</li><li>Experience implementing RAG techniques in AI applications</li><li>Familiarity with embedding models and NLP pipelines</li><li>Understanding of AI inference optimization and scalability strategies</li><li>Experience with MLOps tools is a plus</li><li>Knowledge of containerization and deployment using Docker, Kubernetes, or cloud platforms (AWS, Azure)</li></ul><div><strong>Offerings &amp; Benefits:</strong></div><ul><li>Above market salary</li><li>Bi-annual increments</li><li>Performance based bonuses</li><li>Flexible working arrangements for healthy work-life balance</li><li>Recreational and entertainment events</li><li>Dynamic team and great team culture</li><li>OPD health care for self, spouse, children and parents</li><li>Emergency and hospitalization medical coverage</li><li>Maternity care coverage for pre-natal and post-natal medical expenses</li><li>Unlimited 24/7 tele-consultations with GPs</li><li>Significant discounts on tele-consultations with specialist doctors</li><li>Significant discounts on leading labs for medical tests.</li><li>Significant discounts on leading pharmacies for medicines</li><li>Health and wellbeing counselling</li><li>Casual leaves</li><li>Sick leaves</li><li>Annual leaves</li><li>Wedding leaves</li><li>Haj leaves</li><li>Pilgrimage leaves</li><li>Maternity leaves</li><li>Paternity leaves</li><li>Bereavement leaves</li></ul></div></div></div></div><div style="-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr; color: rgb(0, 0, 0); font-family: ;"><br></div>