AI/ML Solutions Consultant - AIRLKLHV

NavitasPartners
Hybrid

About The Position

We are seeking an experienced AI/ML Solutions Consultant to serve as a trusted advisor and delivery partner for organizations exploring machine learning, generative AI, automation, and data-driven transformation. This role bridges business and technology, helping clients move from AI curiosity to practical, scalable solutions. The ideal candidate combines strong technical understanding with a consultative mindset—capable of working with executives to define problems and collaborating with technical teams to design and deliver impactful AI solutions.

Requirements

  • Experience in AI/ML consulting, data science consulting, or digital transformation roles
  • Strong understanding of machine learning, generative AI, NLP, predictive analytics, RAG, and MLOps
  • Proven experience working with enterprise clients and executive stakeholders
  • Ability to evaluate and recommend whether problems are suited for AI, analytics, or traditional solutions
  • Strong communication and presentation skills with the ability to simplify complex AI concepts
  • Experience developing roadmaps, solution proposals, and architecture recommendations
  • Ability to work across cross-functional teams and stakeholder groups
  • Proven experience in a client-facing AI advisory or solution design role
  • Ability to convert broad AI interest into prioritized, executable use cases
  • Strong problem-solving and strategic thinking capabilities
  • Experience aligning AI initiatives with measurable business value

Nice To Haves

  • Experience in regulated or complex industries (healthcare, finance, government, utilities)
  • Familiarity with cloud AI platforms (AWS, Azure, GCP)
  • Knowledge of data governance, model governance, and compliance frameworks
  • Experience supporting enterprise-scale AI implementations

Responsibilities

  • Conduct AI/ML discovery sessions with business, technical, and executive stakeholders
  • Assess data readiness, technical maturity, governance, and feasibility of AI initiatives
  • Translate business challenges into AI/ML solution concepts, including models, architecture, and data requirements
  • Collaborate with data scientists, engineers, and architects to define implementation plans
  • Develop business cases, roadmaps, and prioritization frameworks for AI initiatives
  • Support proof-of-concepts and pilots, ensuring scalability to production environments
  • Educate stakeholders on AI risks, limitations, governance, and responsible AI practices
  • Provide ongoing advisory support to ensure solutions align with business outcomes

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

1-10 employees

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