Posted on: 28/08/2025
Qualifications :
- 15+ years of experience in Data Science, Machine Learning, and AI.
- Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or Masters preferred).
Hands-on experience with :
- Classical ML : XGBoost, Random Forest, SVM, etc.
- Deep Learning : CNNs, RNNs, LSTMs, Transformers.
- NLP : BERT, GPT, LLaMA, T5, etc.
- GenAI : Diffusion models, LLM fine-tuning, prompt engineering.
- Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.
- Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow).
- Strong understanding of data architecture, feature engineering, and model deployment pipelines.
- Experience with vector databases, retrieval-augmented generation (RAG), and semantic search.
- Familiarity with LLMOps and GenAI safety frameworks.
- Publications or patents in AI/ML domains.
Required Skills :
- Excellent communication and storytelling skills.
- Strong problem-solving and analytical thinking.
- Ability to inspire and lead high-performing teams.
- Adaptability in a fast-paced, evolving tech landscape.
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