About the role

Generative AI Specialist

Job Summary:

The Generative AI Specialist will play a pivotal role in our organization by developing and implementing cutting-edge generative AI solutions. This position not only influences our technological capabilities but also drives innovation across various applications, enhancing our product offerings and client satisfaction.

Key Responsibilities:

Design and develop generative AI models, including Large Language Models (LLMs) and tailored algorithms to meet project-specific requirements.
Collaborate with cross-functional teams to integrate AI solutions into existing workflows and systems, ensuring efficiency and effectiveness.
Conduct research on emerging trends and technologies in deep learning (DL) and machine learning (ML) to maintain a competitive edge.
Evaluate and refine generative AI approaches, utilizing retrieval-augmented generation (RAG) techniques to enhance model performance.
Provide expertise and share insights on best practices for deploying AI solutions at scale across various platforms.
Mentor and guide junior data scientists and engineers on best practices in generative AI and machine learning methodologies.
Present findings and progress updates to stakeholders, articulating complex concepts in a clear and engaging manner.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
5-8 years of experience in AI/ML development, with a strong focus on generative AI technologies.
Proficiency in programming languages such as Python and familiarity with AI frameworks like TensorFlow or PyTorch.
Solid understanding of deep learning architectures and their practical applications for generative tasks.
Experience in data preprocessing, model training, and evaluation techniques for machine learning models.
Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
Excellent communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders.

Preferred Qualifications:

Experience with deploying AI models into production environments and monitoring their performance.
Familiarity with cloud-based AI services (such as AWS, Azure, or Google Cloud) for scalable model deployment.
Contributions to open-source AI projects or publications in relevant AI conferences/journals.
Hands-on experience with data visualization tools for presenting modeling results and data insights.
Strong collaboration skills and a history of working in agile development environments.

Benefits:

Competitive salary and performance-based bonus structure.
Comprehensive health, dental, and vision insurance plans.
Flexible working hours and the option for remote work across all EXL locations.
Generous paid time off and holiday leave to support work-life balance.
Professional development opportunities, including training workshops and educational reimbursements.
A supportive culture that encourages innovation and rewards excellence.
Access to the latest tools and technologies in the AI domain to facilitate your success.

gen ai