AI / ML Engineer

Responsibilities

Develop and implement machine learning models and LLMs, optimizing them for real-world deployment

Fine-tune and optimize large language models (LLMs) to enhance performance and scalability

Work with AI development frameworks like LangChain, PyTorch, Keras, etc. for AI-driven applications

Design and develop machine learning algorithms and deep learning applications and systems

Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks

Train and monitor machine learning systems and models as needed

Design and implement embedding-based similarity algorithms to improve AI-powered search and retrieval

Implement Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation

Utilize vector databases (e.g. Chroma, Pinecone, Weaviate, etc.) to support efficient data retrieval

Develop and deploy AI / ML pipelines

Work with frameworks like FastAPI, Flask, or Django to integrate AI models into applications

Collaborate with Data Engineers to integrate AI models with Vector databases and conventional Databases

Optimize AI inference for low latency and high scalability in production environments

Implement AI security best practices to mitigate risks like adversarial attacks

Stay up to date with advancements in LLMs, ML, AI search, and model deployment strategies

Skills and Requirements

Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field

Strong proficiency in Python for AI / ML development

Hands-on experience with LLMs and transformer-based architectures

Hands-on experience with ML based development

Experience implementing RAG techniques in AI applications

Familiarity with embedding models and NLP pipelines

Understanding of AI inference optimization and scalability strategies

Experience with MLOps tools is a plus

Knowledge of containerization and deployment using Docker, Kubernetes, or cloud platforms (AWS, Azure)

Offerings & Benefits

Above market salary

Bi-annual increments

Performance based bonuses

Flexible working arrangements for healthy work-life balance

Recreational and entertainment events

Dynamic team and great team culture

OPD health care for self, spouse, children and parents

Emergency and hospitalization medical coverage

Maternity care coverage for pre-natal and post-natal medical expenses

Unlimited 24 / 7 tele-consultations with GPs

Significant discounts on tele-consultations with specialist doctors

Significant discounts on leading labs for medical tests.

Significant discounts on leading pharmacies for medicines

Health and wellbeing counselling

Casual leaves

Sick leaves

Annual leaves

Wedding leaves

Haj leaves

Pilgrimage leaves

Maternity leaves

Paternity leaves

Bereavement leaves

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