Machine Learning Engineer - Artificial Intelligence Solutions (5-12 yrs)

We are seeking talented folks with 5+ years of experience in AI/ML with comprehensive understanding of the ML models ecosystem. This role offers a unique opportunity for someone passionate about pushing the boundaries of technology and thriving in a dynamic environment.

Qualifications :

Must-Have :

- Proficiency in Python and libraries like TensorFlow, PyTorch, Transformers, and LangChain.

- Solid understanding of NLP techniques, including tokenization, embeddings, and model fine-tuning.

- Hands-on experience with designing APIs and integrating AI models into production systems.

- Strong knowledge of machine learning fundamentals and evaluation metrics for conversational AI.

- Excellent problem-solving skills with a focus on delivering scalable and maintainable solutions.

- Strong experience with Large Language Models (LLMs) and frameworks such as OpenAI APIs, Hugging Face, or similar tools. (At least 1 year development experience)

Good-to-Have :

- Experience in deploying ML models in cloud environments (AWS, Azure, GCP).

- Exposure to tools like Docker, Kubernetes, or other container orchestration systems.

- Prior experience in developing multimodal conversational systems.

Responsibilities :

- Implement scalable data pipelines for processing and indexing large corpora of documents for retrieval systems.

- Research and apply advanced techniques in prompt engineering, few-shot learning, and knowledge integration to improve conversational and retrieval quality.

- Collaborate with other engineering teams.

- Conduct rigorous A/B testing, monitor key performance indicators (KPIs), and iteratively optimise system performance.

- Stay updated with the latest advancements in natural language processing (NLP) and machine learning to continuously innovate solutions.

- Ensure data privacy, ethical AI principles, and compliance with security standards in all models and systems.