Mid-Level AI/ML Engineer

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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