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Artificial Intelligence Specialist

V2Soft

Dearborn, MI

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JOB DETAILS
SKILLS
Alliance/Partner Marketing, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Solutions, Capability Maturity Model Integration (CMMI), Capacity Management, Cloud Computing, Commercial Off-the-Shelf (COTS), Community Support, Computer Science, Data Modeling, Data Science, Database Programming Languages, Decision Support, Demand Forecasting/Planning, Documentation, Expert Systems, Fortune 500 Customers, GCP (Good Clinical Practices), GitHub, ISO (International Organization for Standardization), Inference Engine, Interpersonal Skills, Logistics, Machine Learning, Microsoft Windows Azure, Nonprofit, Ontology, Problem Solving Skills, Product Engineering, Public/Media/Press/Analyst Relations, Python Programming/Scripting Language, Requirements Management, Risk, Risk Management, SQL (Structured Query Language), Software Development Lifecycle (SDLC), Software Engineering, Supply Chain, Supply Chain Operations, Sustainability, Technical Leadership, Technical Recruiting, Testing
LOCATION
Dearborn, MI
POSTED
4 days ago
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at www.v2soft.com  to know more . 

 
4 Days onsite at Dearborn, MI - only W2, No C2C

Skills Required:
Artificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software Development Lifecycle
Experience Required:
Specialist Exp: 5+ experience in relevant field
Experience Preferred:
Minimum Requirements • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. • 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments. • Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher). • Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs. • Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns • Strong analytical, problem-solving, and critical thinking skills. • Exceptional communication, interpersonal skills, and stakeholder management skills. Preferred Qualifications • AI-SDLC Experience: Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis). • Requirement Engineering: Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation. • Knowledge Graph: Understanding semantic ontologies and how they enable advanced analytics. • COTS Integration: Experience integrating COTS AI solutions into an enterprise tech stack. • Supply Chain Domain Knowledge: Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.
Education Required:
Bachelor's Degree
Education Preferred:
Master's Degree
Additional Information:
Hybrid Position 4 days a week onsite • Business Requirement Gathering: Partner with supply chain functional leads to elicit and document business requirements and translate them into technical specifications for AI-driven decision support tools, ensuring every solution delivers measurable business value. • Model Integration & Deployment: Act as the primary technical lead for applied AI implementation. Take pre-developed models from internal partners or 3rd-party vendors (COTS) and successfully deploy them within the supply chain GCP space. • Graph-Based AI Implementation: Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies. Execute model inference against graph data to provide prescriptions for N-tier supplier risk and material movement. • AI-Driven SDLC Execution: Champion and implement AI-assisted development practices. Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery and ensure high code quality. • Pipeline & MLOps Engineering: Design the "connective tissue " between Knowledge Graph updates and model inference engines. Maintain automated pipelines that ensure decision-support tools are always powered by the most current data. • Technical Standardization: Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled across multiple business units without redundant engineering effort.

V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
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About the Company

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V2Soft