Director - Data Science - SaaS AI Platform

Requirements:

- 15+ years of direct experience in enterprise software development involving machine learning mathematical modeling, optimization, generative AI, computer vision, business analytics, or other AI techniques

- 10+ years of experience in retail industry in a data science/software role

- 5+ years of experience in NLP/Generative AI/ Computer vision/Forecasting/Pricing related problems

- Advanced degree (Ph.D./Masters) in Data Science, Computer Science, or related fields.

- Demonstrated leadership in data science teams and projects with track record of scaling teams

- Proficiency in Python, R, SQL, and familiarity with ML toolkits like TensorFlow, PyTorch, Scikit-learn, Keras and more

- Experience with industry leading LLMs and open-source alternatives such as Mistral and Llama 2

- Expertise in big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, GCP)

- Proficiency in MLOps tools such as Kubeflow, MLflow, Apache Airflow, and TFX (TensorFlow Extended) for managing the ML lifecycle across multi customer, multi model environments

- Familiarity with CI/CD pipelines and automated testing frameworks for ML models.

- Knowledge of monitoring and logging tools for ML models in production (e.g., Prometheus, Grafana).

Responsibilities:

- Lead the development of data science and analytical modules of products for the retail and ecommerce industry, including systems for Generative AI/NLP problems, price optimization, promotion planning, inventory planning, demand forecasting etc.

- Work closely with software engineering, product management, design, and customer success teams to deliver commercial-grade software on schedule

- Lead a team of data scientists, analysts, and engineers.

- Foster a culture of innovation and continuous improvement in data science practices.

- Provide mentorship and career development opportunities to team members.