Data Scientist Manager - AI/ML & GenAI

Company Overview

Company details are not provided.

Job Summary

The Data Scientist Manager - AI/ML & GenAI will oversee a team of data scientists focused on leveraging artificial intelligence and machine learning technologies. This role is essential in driving data-driven decision-making and innovating our capabilities in generative AI. The manager will ensure the successful execution of projects aimed at achieving organizational goals through advanced analytical techniques.

Responsibilities

• Lead and mentor a team of data scientists in the development of AI and machine learning models.
• Design and implement innovative solutions using Generative AI techniques.
• Oversee the execution of projects, ensuring alignment with business objectives.
• Collaborate cross-functionally with stakeholders to identify data needs and leverage findings for strategic initiatives.
• Stay current on AI/ML advancements and integrate new methodologies into existing practices.

Qualifications

• Educational Background: Master's degree or PhD in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Technical Skills:
  • Proficient in machine learning algorithms such as XGBoost, Random Forest, Support Vector Machines (SVM), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks.
  • Expertise in Natural Language Processing (NLP) techniques including BERT, GPT, LLaMA, and T5.
  • Experience with Generative AI tools and methodologies like diffusion models and fine-tuning Large Language Models (LLMs).
  • Strong programming skills in Python and SQL.
  • Familiarity with cloud platforms, particularly Amazon Web Services (AWS).

Preferred Skills

• Experience in deploying machine learning models in production environments.
• Knowledge of version control systems such as Git.
• Understanding of software development lifecycle and Agile methodologies.

Experience

• Minimum of 15 years of experience in data science, machine learning, or a related field, including 2.4 years in a managerial role.

Environment

• Location: Gurgaon, with a hybrid working model (3 days in-office).

Salary

Salary details are not provided.

Growth Opportunities

Opportunities for career advancement within the company are not specified.

Benefits

Benefits details are not provided.