The Role
Design and deliver scalable AI/ML solutions: data analysis, feature engineering, model development, evaluation, and deployment. Apply Generative AI (LLMs, RAG, prompt engineering), collaborate cross-functionally, and implement MLOps and Snowflake-based integrations. Prefer pharma/life sciences background.
Summary Generated by Built In
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.
Consultant
Primary Skills
- AI, LLM, Snowflake/ Snowflake Cortex
Specialization
- Data Science Advanced: Senior AI/ML Engineer
Job requirements
- AI Architect
- Location: Plainsboro, NJ
- work Type: Hybrid with min 4 days onsite per week
- Key: Looking for a AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences/Healthcare background, with Snowflake or Snowflake Cortex
- Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL)
Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems. - Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
- Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.
- Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.
- Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services is prefered
- Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.
- Knowledge of data warehousing, data engineering concepts, and API integrations.
- Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.
- With Lifesciences experience preferred
Preferred Qualifications
#LI-CH1
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Skills Required
- Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields
- Proficiency in SQL and Python (preferably strong SQL)
- Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment
- Good understanding of Generative AI concepts including LLMs, prompt engineering, RAG, AI agents, and MCP
- Ability to work with structured and unstructured data and build scalable AI/ML solutions
- Strong problem-solving, analytical, and communication skills; enthusiasm to learn new technologies
- Pharma / Life Sciences experience
- Experience with Snowflake data platform; exposure to Snowflake AI and Cortex services
- Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management
- Knowledge of data warehousing, data engineering concepts, and API integrations
- Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks
- Work type: Hybrid with minimum 4 days onsite per week (Plainsboro, NJ)
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
