Senior Machine Learning Engineer - Research
NoidaFull-TimeSeniorAI / Data Science
What you'll be liable for:
- Big picture: Understand customers’ needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions.
- Work on NLP problems across areas such as voice agents, agentic applications, text classification, entity extraction, and summarisation, using LLMs.
- Collaborate with cross-functional teams to integrate/upgrade AI solutions into company’s products and services Optimise existing machine learning models for performance, scalability and efficiency.
- Help implement and evaluate reasoning, planning, and memory modules for agents.
- Build, deploy and own scalable production NLP pipelines.
- Build post-deployment monitoring and continual learning capabilities.
- Propose suitable evaluation metrics and establish benchmarks.
- Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues.
- Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc.
We'll love to explore more about you if you have:
- B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP.
- Strong coding skills in Python and Pytorch with familiarity with libraries like Transformers and LangChain/LangGraph.
- Strong practical experience in NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc.
- Knowledge and hands-on experience with Transformer-based Language Models like BERT, Llama, Qwen, Gemma, DeepSeek, etc.
- In-depth familiarity with LLM training concepts, model inference optimizations, GPUs, etc.
- Experience with ML and Deep Learning model deployments using REST API, Docker, Kubernetes, etc.
- Good problem-solving skills involving data structures and algorithms.
- Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable.
- Knowledge of multimodal models is a plus
- Knowledge of real-time streaming tools/architectures like Kafka and Pub/Sub is a plus.
- Contributions to AI side projects or GitHub repos
