Sr AI Engineer
Posted Updated
Description
Were seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges.
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and AI solutions.
- Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions.
- Analyse and preprocess large datasets for training and testing ML models.
- Experiment with different ML algorithms and techniques to improve model performance.
Experience:
- B.Tech or M.Tech or M. Statistics with 3-6 years of relevant experience in Machine Learning, AI, or Data Science roles.
- Education: Bachelors/masters degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 1 or Tier 2 college.
Technical Skills:
- Strong Python programming and software engineering skills.
- Hands-on experience with classification, regression, clustering, and ensemble models such as Random Forest and XGBoost.
- Strong understanding of Transformer architecture, including attention mechanisms, embeddings, tokenization, and encoder/decoder models.
- Experience working with LLMs and SLMs, including model selection, supervised fine-tuning, and LoRA/QLoRA.
- Proficiency in PyTorch, Hugging Face Transformers, PEFT, and Scikit-learn.
- Experience preparing training datasets, evaluating models, and assessing accuracy, hallucinations, latency, and cost.
- Working knowledge of NLP, embeddings, vector databases, and RAG.
- Experience with GPU workloads and deploying model APIs using FastAPI/Flask, Docker, and cloud platforms-Azure preferred.
- Familiarity with MLOps, model monitoring, and explainability techniques such as SHAP or LIME.
Nice to Have:
- Model optimization through quantization, knowledge distillation, and Transformer layer pruning.
- Experience with agentic AI, distributed training, or inference optimization.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.