Senior Technical Lead - GenAI/Machine Learning

HCL SINGAPORE PTE. LTD.; Town of Islip (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading company is looking for an AI Engineer to enhance and maintain its global AI platform. This role requires collaboration with various teams to implement cutting-edge AI solutions and demands a strong background in machine learning and programming languages such as Python and R. The ideal candidate will possess excellent problem-solving skills and a passion for innovation in the AI domain, contributing to the development of high-quality AI products and assisting with mentorship in the lab.

Qualifications

• 4-7 years of experience in developing and deploying AI models.
• Strong programming skills, specifically in Python and R.
• Experience with machine learning frameworks like TensorFlow and PyTorch.

Responsibilities

• Maintain and develop the AI Lab’s global sandbox platform.
• Collaborate to integrate AI solutions into products.
• Mentor junior engineers in best practices.

Skills

Python

R

Data Analysis

Deep Learning

Machine Learning

Problem-solving

Attention to Detail

Innovation

Education

Bachelor’s degree in Computer Science

Related fields - Artificial Intelligence/Machine Learning

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Google Cloud

Azure

Job description

Responsibilities

• Assist in the development and maintenance of the AI Lab’s global sandbox platform.
• Ensure the platform is effectively used for experimenting with AI applications.
• Contribute to the continuous improvement of the platform based on user feedback and technological advancements.
• Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.
• Provide technical guidance and support to teams using the sandbox for AI product development.
• Conduct research and development (R&D) to stay up-to-date with the latest advancements in AI, machine learning, Large Language Model frameworks.
• Provide technical guidance and support in the AI domain to teams under incubation that develop AI products.
• Analyse and interpret data to provide actionable insights and recommendations.
• Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Assist in the technology aspects of the structured AI product incubation and acceleration program.
• Ensure AI Products and experiments are developed in alignment with Organization’s core risk, data protection, technology risk management policies, and regulations.
• Contribute to the implementation of rigorous quality assurance processes to maintain the highest standards of AI solutions.
• To work on the delivery of high-quality AI products, continuous improvement, experimentation, and development of Organization’s AI expertise.
• Collaborate with cross-functional teams, including technology, AI, and business stakeholders, to integrate AI solutions into products and services.
• Work with external partners, including higher education institutions, start-ups, and hyperscale’s expert teams and government agencies.
• Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
• Mentor and guide junior engineers in AI and machine learning best practices.
• Contribute to the development of AI talent through participation in education and training programs.
• Engage with the external AI ecosystem to stay updated with the latest trends and advancements.
• Represent organization at industry events and conferences to showcase the company’s AI capabilities.

Skills Requirement

• Bachelor’s degree in Computer Science/ Artificial Intelligence/ Machine Learning, or a related field.
• Proven experience 4-7 years in developing and deploying AI models and algorithms.
• Strong technical background in data, AI, and modern cloud infrastructure.
• Good programming skills in languages such as Python, R.
• Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, TensorFlow, PyTorch, scikit-learn).
• Knowledge of data preprocessing, feature engineering, model evaluation, MLOPs, LLMOps techniques.
• Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure).
• Excellent problem-solving skills and attention to detail.
• Ability & Passion for innovation and a drive to position at the forefront of AI in the Insurance industry/domain.