Offer summary

Qualifications:

Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or related fields; PhD preferred., Proven experience in development and deployment of AI/ML projects, particularly with large language models (LLMs)., Strong programming skills in Python, SQL, and AI/ML libraries like TensorFlow and PyTorch., Demonstrated expertise in Retrieval-Augmented Generation (RAG) and generative AI techniques..

Key responsabilities:

Lead the development and implementation of AI models, ensuring production-grade code and deployment.

Manage a team of AI researchers and data scientists, fostering collaboration and innovation.

Monitor model performance and implement continuous learning for optimization.

Stay updated with AI trends and drive initiatives for innovation and competitive advantage.

Job description

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Senior Data Science Lead

Primary Skills

Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

Specialization

Data Science Foundation: Data Scientist

Job requirements

Senior Data Science Lead

Edison, NJ (Remote)

Experienced and strong AI Architect / Lead to develop, deploy, fine-tuning large language models (LLMs). The ideal candidate will have a strong technical background in machine learning and generative AI with a focus on deploying scalable AI solutions that drive business value.

Key Responsibilities:

Development & Implementation:

Strong development skills with experience in building production grade codes

Prior real time implementation experience production deployment of LLMs and/or agents at a client

Preferably having experience with LinGPT

LLM Fine-Tuning & Optimization:

Fine-tune and adapt pre-trained large language models (LLMs) for specific use cases to enhance performance and relevance.

Experiment with and refine prompt engineering techniques to improve LLM outputs in line with business requirements.

Retrieval-Augmented Generation (RAG):

Develop and implement RAG frameworks to enhance information retrieval from external datasets and augment the performance of generative AI models.

Build systems to retrieve and integrate relevant knowledge for improving AI-generated content accuracy.

Team Leadership & Collaboration:

Manage a team of AI researchers, data scientists, and engineers, fostering a collaborative and innovative environment.

Work cross-functionally with business, engineering, and data teams to ensure successful AI model deployment and value realization.

Model Deployment & Monitoring:

Lead the deployment of AI models into production environments, ensuring scalability, efficiency, and security.

Monitor model performance, manage updates, and implement continuous learning to improve results.

Innovation & AI Trends:

Stay up to date with the latest AI research, tools, and trends, particularly in generative AI and LLMs, and drive continuous improvement initiatives within the team.

Explore new AI applications and use cases that can drive innovation and competitive advantage.

Education:

Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or related fields. PhD preferred but not required.

Experience:

Proven experience in development and deployment of AI/ML projects, with a strong emphasis on large language models (LLMs), fine-tuning, and prompt engineering.

Hands-on experience with integrating AI solutions into cloud data ecosystems.

Demonstrated expertise in Retrieval-Augmented Generation (RAG) and other generative AI techniques.

Experience deploying AI models in production environments and optimizing them for scalability and performance.

Skills:

Strong programming skills in Python, SQL, and AI/ML libraries (e.g., TensorFlow, PyTorch).

Expertise in Snowflake data ecosystem and AI platform integration.

Proficiency in building and fine-tuning LLMs, prompt engineering, and RAG methodologies.

Strong problem-solving, communication, and leadership skills.

Preferred Qualifications:

Experience with cloud platforms like AWS, Azure, or GCP.

Familiarity with MLOps tools and best practices for AI model deployment.

Why should you apply for this role?

(Practice Pitch)

As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The Advisory and Value Assurance (AVA) team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.

Know more about <add practice specific page link from Brillio website>

PPE: https://www.brillio.com/platform-and-product-engineering/

DAE: https://www.brillio.com/services-data-analytics/

CES: https://www.brillio.com/services-customer-experience-services/

DI: https://www.brillio.com/services-digital-infrastructure/

Know what it’s like to work and grow at Brillio:https://www.brillio.com/join-us/

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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