Lead Data Scientist - AI & ML

Location

Chennai | India

Job description

The Lead Data Scientist in AI & ML is a key position responsible for spearheading the development and implementation of advanced AI and machine learning models within an organization. This role involves managing and guiding a team of data scientists and engineers, overseeing AI/ML projects from inception to deployment, and ensuring these initiatives align with the company's strategic goals. The Lead Data Scientist also plays a crucial role in innovating and applying new technologies, methodologies, and best practices in AI and ML.

Responsibilities

• Lead and mentor a team of data scientists, engineers, and analysts. Provide guidance on advanced analytical techniques and complex data modeling.
• Stay abreast of the latest developments in AI and machine learning. Propose and lead R&D initiatives to explore new technologies or methodologies that could benefit the company.
• Develop and implement strategies for data acquisition, processing, and analysis. Ensure that the data strategy aligns with the overall business strategy.
• Design, build, and maintain scalable machine learning models. Ensure the models are accurate, efficient, and align with business objectives.
• Uphold high standards of data governance and ethics, especially in handling sensitive data, and ensure compliance with relevant laws and regulations.
• Use creative approaches to solve complex problems and drive innovation within the company. This includes exploring new data sources, experimenting with novel algorithms, and leveraging emerging technologies.
• Collaborate with various departments (like IT, marketing, product development) to understand their data needs and deliver relevant insights. Communicate complex data findings to non-technical stakeholders in a clear and effective manner.

Key Skills Required:

• Proficiency in various machine learning techniques (supervised, unsupervised, reinforcement learning) and deep learning architectures.
• Expertise in programming languages like Python, R, Java, or Scala. Familiarity with software development practices and tools (Git, Docker, etc.).
• Machine learning frameworks (TensorFlow, PyTorch), and experience with LLMs (like GPT-3, BERT, etc.)
• Knowledge of database management, data cleaning, preprocessing, and efficient data storage and retrieval methods.
• Worked on NoSQL databases and Vector DB
• In-depth understanding of artificial intelligence, neural networks, and their practical applications
• Skills in deploying and scaling machine learning models in production environments
• Proficient in Langchain LLM
• Skilled in crafting and refining prompts, and leveraging few-shot learning methods to boost the performance of LLMs in specialized tasks, such as tailoring personalized recommendations.
• Proficient in assessing the zero-shot and few-shot abilities of LLMs, fine-tuning hyperparameters for broad task applicability, and investigating model interpretability to ensure effective integration into web applications

Qualification:

• Excellent verbal and written communication skills, particularly in explaining technical concepts to non-technical stakeholders.
• A minimum of a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field
• Certifications or coursework in specific areas like natural language processing, deep learning, and AI ethics can be beneficial.

Job tags

Salary