Data Science Lead - R
Data Science Lead - R
Posted on :
11-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
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 renowned for its worldclass professionals referred to as Brillians distinguishes itself through their capacity to seamlessly integrate cuttingedge 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. Brillios 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.
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
Job requirements
- Role: Data Scientist Lead
- Years of Experience: 10 years
- Location: Remote
- Job Description: We are seeking an experienced Data Science Lead to spearhead the development deployment and scaling of Large Language Models (LLMs) within our AI ecosystem. This role requires a handson leader with deep expertise in LLM operationalization prompt engineering Databricks and Azure AI services. You will lead initiatives in finetuning models RetrievalAugmented Generation (RAG) and transforming LLM prototypes into productiongrade solutions that drive business impact.
- Key Responsibilities: Lead and scale LLMbased projects from proofofconcept (PoC) to fullscale production across the organization focusing on delivering measurable business value.
- Productionalize LLMs on Azure ensuring that models are robust efficient and scalable in live environments.
- Develop and optimize prompt engineering techniques to enhance model performance reduce costs and improve the accuracy of outputs.
- Collaborate with data engineers and architects to integrate LLMs with data pipelines on platforms such as Databricks for scalable processing. Implement RetrievalAugmented Generation (RAG) methods to improve the relevance and accuracy of LLM outputs leveraging both structured and unstructured data sources.
- Oversee finetuning of pretrained LLMs to create domainspecific models that address business challenges in various verticals.
- Drive continuous improvement and experimentation with LLM models staying at the forefront of the latest advancements in Generative AI.
- Ensure model governance monitoring and AI/ML Ops practices for safe and reliable deployment in production environments.
- Collaborate with crossfunctional teams including product managers engineers and other stakeholders to define project requirements timelines and deliverables. Provide mentorship and guidance to junior data scientists fostering a culture of innovation and knowledge sharing.
- Required Skills and Qualifications: Experience with LLMs and Generative AI: Deep knowledge of Large Language Models (GPT BERT etc. and their deployment at scale.
- Azure AI Expertise: Proven experience with Azure Machine Learning Azure Cognitive Services and other cloudnative AI solutions for deploying models.
- Prompt Engineering: Strong experience in prompt tuning and engineering techniques to refine outputs of LLMs. Databricks: Handson experience with Databricks for big data processing model training and inference at scale.
- RetrievalAugmented Generation (RAG): Proficiency in implementing RAG techniques to improve the quality and relevance of model outputs. FineTuning: Experience in finetuning pretrained models to meet specific business or domain needs.
- Strong understanding of AI/ML Ops for continuous integration deployment and monitoring of models in production. Ability to translate complex technical concepts into practical business solutions.
- Leadership Experience: Proven ability to lead data science teams and collaborate across functions to deliver AIdriven solutions. Excellent communication and stakeholder management skill
- 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
- PPE: what its like to work and grow at Brillio: 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.
$70 $75 an hour
Know what its like to work and grow at Brillio: Click here
Employment Type
Contract
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
