Director, Data Science (Agentic AI, RAG Pipelines, LLM, ML, NLP)

TL;DR

Director, Data Science (Agentic AI, RAG Pipelines, LLM, ML, NLP): Leading high-impact data science initiatives to convert diverse data into actionable insights and decision support with an accent on designing, developing, and implementing solutions using Machine Learning, Deep Learning, and Generative AI techniques. Focus on innovating in text analytics, building knowledge retrieval capabilities for large-scale unstructured data, and defining standards for trustworthy AI.

Location: Hybrid work environment

Company

hirify.global is a global research and advisory company guiding leaders with objective business and technology insights to help client enterprises succeed with their mission-critical priorities.

What you will do

• Harness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data.
• Collaborate with stakeholders to design, develop, and implement cutting-edge Machine Learning, Deep Learning, and Generative AI solutions.
• Innovate in text analytics and develop creative approaches for interpreting complex datasets to deliver impactful recommendations.
• Build text analytics and knowledge retrieval capabilities for large-scale unstructured data.
• Define standards for evaluation, guardrails, prompt engineering, retrieval quality, and hallucination control to ensure trustworthy AI.
• Mentor and develop a high-performing team of data scientists, fostering a culture of innovation and impact.

Requirements

• Overall: 9-11 years in data science/AI/ML roles.
• Hands-on: 6+ years applying ML/DL, NLP, and LLMs to real-world business problems, including text mining and unstructured data analysis.
• Expertise in Agentic AI, RAG pipelines, LLMs, prompt engineering, knowledge graphs and evaluation frameworks.
• Advanced proficiency in Python and SQL, with strong experience in libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK.
• Hands-on experience with vector databases (FAISS, pgvector etc).
• Practical experience with cloud platforms (Azure/AWS) or GCP for model training, deployment, and scaling.

Culture & Benefits

• Competitive salary, generous paid time off policy, and charity match program.
• Group Medical Insurance, Parental Leave, and Employee Assistance Program (EAP).
• Collaborative, team-oriented culture that embraces diversity.
• Professional development and unlimited growth opportunities.
• Flexibility and support for thriving in a hybrid work environment.
• Investment in great leaders who bring out the best in associates and the company.