Job Description :
A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred.
A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable.
Requirements :
- 7-12 years of practical experience in data science, generative AI, machine learning, and analytics.
- Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous.
- Minimum 3-4 years of deep, hands-on expertise in NLP, LLMs, and Generative AI.
- 2+ years of demonstrated experience in leading projects and teams.
- Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development.
Core Skills :
Strong foundation in machine learning, deep learning, and NLP.Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA).Proficiency in Python, PyTorch / TensorFlow, SQL, and cloud platforms (GCP / AWS / Azure).Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.Strong data engineering skills to build ETL pipelines for large-scale datasets.Statistical rigor : hypothesis testing, power analysis, confidence intervals; regression (GLM / GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact.Soft Skills :
Strong business acumen and ability to map AI / ML solutions to strategic goals.Excellent communication and stakeholder management skills.Proven track record of mentoring and leading teams, collaborating with cross-functional teams, and communicating effectively with stakeholders(ref : hirist.tech)