Description
Position at Berkeley Research Group, LLC
BRG specializes in providing subject matter expertise backed by data analytics in areas including economics, mergers, litigation, damages, investment, healthcare-related insights, and more. Our goals for AI/ML integration include:
- Integration into Daily Workflows: Seamlessly incorporate AI capabilities into users' everyday tasks through chat-based AI tools (ChatGPT, Claude) integrated with our secure enterprise environment.
- Automation: Building on the integration into Daily Workflows providing automation of aspects of the AI/ML tools such as batch submissions of documents and prompts to an LLM.
The Expert Solutions team serves as the liaison between business customers and IT for non-commodity IT services, delivering innovative solutions to complex business and technical problems. We are a highly collaborative team responsible for designing, developing, modifying, adapting, and implementing both short- and long-term solutions to IT needs through new and existing data applications, systems architecture, network systems, and data architecture.The Mid-Level AI/ML Engineer plays a pivotal role in achieving these strategic goals through technical expertise, enterprise integration knowledge, and the ability to translate non-technical requirements into implementable solutions. This position is based in the United States. Candidate can work remotely with the ability to be on-site in offices as needed.
Reporting Relationships:
- Director of Information Technology & Expert Solutions
Key Contacts:
- Leaders and designees of Expert Communities (practices) throughout the firm
- Internal IT staff and IT business partners
- External vendors and consulting partners
Major Responsibilities / Job Functions:
- Document Analysis and Discovery:
- Design, document, and implement AI solutions to analyze and synthesize complex domain-specific documents (legal, financial, technical)
- Develop automated workflows for document summarization, key concept extraction, and theme identification
- Create solutions for processing and synthesizing multiple documents that exceed AI context windows
- Build intelligent search and discovery systems combining traditional search tools with AI/ML capabilities
- Implement automated tracking and analysis of domain-specific issues across internal and external sources
- AI Integration and User Collaboration:
- Engage closely with business users to understand their everyday tasks and translate non-technical requirements into AI solutions
- Design, document and implement AI-powered workflows that integrate with enterprise tools (Microsoft 365, Azure AD)
- Create secure connections between AI tools and company data sources
- Build user-friendly interfaces for AI tool interaction
- Facilitate the adoption of AI tools through training and support
- Specialized Tool Replacement and Analytics:
- Develop solutions for processing large-scale data that exceeds AI model context windows
- Create and demonstrate sophisticated analytics programs that replicate functionality of specialized tools
- Apply statistical methods and data-driven techniques to uncover insights
- Implement efficient chunking and data processing strategies
- Design scalable solutions for handling large datasets
- Enterprise Integration and Architecture:
- Develop, construct, test, and maintain architectures that support data science and ML projects
- Implement secure authentication and authorization for AI tools
- Design and build efficient data pipelines optimized for machine learning
- Ensure compliance with data security and privacy requirements
- Create robust integration points between AI systems and existing applications
- Research and Innovation:
- Conduct ongoing research on latest advancements in AI/ML tools and technologies
- Evaluate and recommend tools that enhance the organization's AI/ML capabilities
- Guide the adoption of new technologies by providing technical guidance
- Assist in vendor selection and management for AI/ML solutions
- Stay current with industry trends and best practices
Required Technical Skills:
- AI/ML Core Skills:
- Advanced experience with modern AI frameworks:
- LangChain for building AI applications and workflows
- LlamaIndex for efficient data indexing and retrieval
- Vector databases (Pinecone, Weaviate) for semantic search
- Expertise in prompt engineering and optimization
- Understanding AI Agents and Agentic workflows
- Experience with leading AI models and APIs:
- OpenAI (GPT-4, ChatGPT)
- Anthropic Claude
- Azure OpenAI Service
- Strong understanding of RAG (Retrieval Augmented Generation)
- Experience with fine-tuning and model optimization on open-source or custom models such as Falcon, Mistral, or MosaicML.
- Expertise in deploying Large Language Models (LLMs) efficiently on cloud platforms using tools like Hugging Face and ONNX Runtime.
- Advanced Analytics and Processing:
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and libraries (scikit-learn, NLTK)
- Advanced knowledge of ML algorithms (supervised/unsupervised learning, deep learning)
- Experience with statistical modeling and econometrics methods
- Proficiency in large-scale data processing frameworks (Apache Spark)
- Advanced SQL and Python data manipulation skills
- Experience with data chunking and processing strategies
- Knowledge of efficient text splitting and embedding techniques
- Enterprise Integration:
- Strong experience with:
- Azure AD integration
- Microsoft 365 API implementation
- OAuth and SSO implementation
- Secure data access patterns
- Knowledge of enterprise security requirements
- Experience with cloud platforms (Azure, AWS, GCP)
- Understanding of enterprise architecture patterns
- Domain Expertise:
- Economics: Understanding of economic principles, forecasting, and market analysis
- Healthcare: Knowledge of healthcare systems, EHR analysis, and predictive analytics
- Litigation Analytics: Experience with legal document analysis and predictive modeling
- Understanding of specialized tools (Relativity, SAS, Reveal) and their use cases
- Familiarity with regulatory requirements in various domains
Required Soft Skills:
- Exceptional ability to translate non-technical requirements into structured documented requirements, technical documents, and technical solutions
- Strong communication skills for explaining complex AI concepts to varied audiences
- Project management capabilities for coordinating cross-functional teams
- Proven track record of gathering and implementing user feedback
- Dedication to continuous learning and staying current with AI developments
- Ability to work effectively in a collaborative environment
- Strong problem-solving and analytical thinking skills
- Business and IT collaboration skills
Knowledge, Skills, and Behaviors - Desired:
- Enterprise Platform Experience:
- Databricks unified analytics platform
- Snowflake cloud data platform
- Google BigQuery and Vertex AI
- Microsoft Azure Fabric/Synapse Analytics
- AWS AI/ML services suite
- Cloud Computing Expertise:
- Strategic understanding of PaaS, SaaS, and IaaS models
- Experience configuring enterprise-scale cloud environments
- Cross-platform integration capabilities
- Cloud security and compliance expertise
- Advanced Technical Skills:
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of MLOps practices and tools
- Familiarity with graph databases
- Experience with streaming data processing
- Knowledge of advanced optimization techniques
- Education and Experience:
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field
- 3-5 years of experience in AI/ML development
- Demonstrated experience in enterprise system integration
- Track record of successful user-focused AI implementation projects
- Experience in one or more specialized domains (economics, healthcare, litigation)
- Physical Requirements:
- Ability to work at a computer for extended periods
- May require occasional travel to office locations or client sites
- Work Environment:
- Primarily remote with periodic on-site meetings as needed
- Fast-paced, innovative technology environment
- Collaborative team setting with cross-functional interaction
Candidate must be able to submit verification of his/her legal right to work in the U.S., without company sponsorship.
Salary Range: 115,000-160,000
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About BRG
Berkeley Research Group, LLC (BRG) is a global consulting firm that helps leading organizations advance in three key areas: disputes and investigations, corporate finance, and strategy and operations. Headquartered in California with over 40 offices around the world, we are an integrated group of experts, industry leaders, academics, data scientists, and professionals working beyond borders and disciplines. BRG strives to build and nurture a culture where inclusiveness is instinctive, not an initiative. We celebrate and value the diversity of our professionals and are dedicated to maintaining a truly inclusive work environment where all individuals feel respected and valued. We harness our collective expertise to deliver the inspired insights and practical strategies our clients need to stay ahead of what's next.
Berkeley Research Group is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.
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