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 SolutionsKey Contacts:Leaders and designees of Expert Communities (practices) throughout the firmInternal IT staff and IT business partnersExternal vendors and consulting partnersMajor 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 identificationCreate solutions for processing and synthesizing multiple documents that exceed AI context windowsBuild intelligent search and discovery systems combining traditional search tools with AI/ML capabilitiesImplement automated tracking and analysis of domain-specific issues across internal and external sourcesAI Integration and User Collaboration:Engage closely with business users to understand their everyday tasks and translate non-technical requirements into AI solutionsDesign, document and implement AI-powered workflows that integrate with enterprise tools (Microsoft 365, Azure AD)Create secure connections between AI tools and company data sourcesBuild user-friendly interfaces for AI tool interactionFacilitate the adoption of AI tools through training and supportSpecialized Tool Replacement and Analytics:Develop solutions for processing large-scale data that exceeds AI model context windowsCreate and demonstrate sophisticated analytics programs that replicate functionality of specialized toolsApply statistical methods and data-driven techniques to uncover insightsImplement efficient chunking and data processing strategiesDesign scalable solutions for handling large datasetsEnterprise Integration and Architecture:Develop, construct, test, and maintain architectures that support data science and ML projectsImplement secure authentication and authorization for AI toolsDesign and build efficient data pipelines optimized for machine learningEnsure compliance with data security and privacy requirementsCreate robust integration points between AI systems and existing applicationsResearch and Innovation:Conduct ongoing research on latest advancements in AI/ML tools and technologiesEvaluate and recommend tools that enhance the organization's AI/ML capabilitiesGuide the adoption of new technologies by providing technical guidanceAssist in vendor selection and management for AI/ML solutionsStay current with industry trends and best practicesRequired Technical Skills:AI/ML Core Skills:Advanced experience with modern AI frameworks:LangChain for building AI applications and workflowsLlamaIndex for efficient data indexing and retrievalVector databases (Pinecone, Weaviate) for semantic searchExpertise in prompt engineering and optimizationUnderstanding AI Agents and Agentic workflowsExperience with leading AI models and APIs:OpenAI (GPT-4, ChatGPT)Anthropic ClaudeAzure OpenAI ServiceStrong 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 methodsProficiency in large-scale data processing frameworks (Apache Spark)Advanced SQL and Python data manipulation skillsExperience with data chunking and processing strategiesKnowledge of efficient text splitting and embedding techniquesEnterprise Integration:Strong experience with:Azure AD integrationMicrosoft 365 API implementationOAuth and SSO implementationSecure data access patternsKnowledge of enterprise security requirementsExperience with cloud platforms (Azure, AWS, GCP)Understanding of enterprise architecture patternsDomain Expertise:Economics: Understanding of economic principles, forecasting, and market analysisHealthcare: Knowledge of healthcare systems, EHR analysis, and predictive analyticsLitigation Analytics: Experience with legal document analysis and predictive modelingUnderstanding of specialized tools (Relativity, SAS, Reveal) and their use casesFamiliarity with regulatory requirements in various domainsRequired Soft Skills:Exceptional ability to translate non-technical requirements into structured documented requirements, technical documents, and technical solutionsStrong communication skills for explaining complex AI concepts to varied audiencesProject management capabilities for coordinating cross-functional teamsProven track record of gathering and implementing user feedbackDedication to continuous learning and staying current with AI developmentsAbility to work effectively in a collaborative environmentStrong problem-solving and analytical thinking skillsBusiness and IT collaboration skillsKnowledge, Skills, and Behaviors - Desired:Enterprise Platform Experience:Databricks unified analytics platformSnowflake cloud data platformGoogle BigQuery and Vertex AIMicrosoft Azure Fabric/Synapse AnalyticsAWS AI/ML services suiteCloud Computing Expertise:Strategic understanding of PaaS, SaaS, and IaaS modelsExperience configuring enterprise-scale cloud environmentsCross-platform integration capabilitiesCloud security and compliance expertiseAdvanced Technical Skills:Experience with containerization and orchestration (Docker, Kubernetes)Knowledge of MLOps practices and toolsFamiliarity with graph databasesExperience with streaming data processingKnowledge of advanced optimization techniquesEducation and Experience:Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field3-5 years of experience in AI/ML developmentDemonstrated experience in enterprise system integrationTrack record of successful user-focused AI implementation projectsExperience in one or more specialized domains (economics, healthcare, litigation)Physical Requirements:Ability to work at a computer for extended periodsMay require occasional travel to office locations or client sitesWork Environment:Primarily remote with periodic on-site meetings as neededFast-paced, innovative technology environmentCollaborative 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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