AI/ML Engineer-Remote : AI/ML Engineer - Remote - 6+ Months Contract - W2 Contract

AI/ML Engineer Remote 6+ Months Contract – W2 Contract Primary Responsibilities: - Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency. - Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities. - Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions. - Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption. - Evaluate disruptive technologies, drive innovation pilots, and build strategic capabilities that position the organization for future-state digital operations. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline. - 5+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability. - 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval. - 5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming. Essential Skills 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval.5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming.Experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes.Strong communication skills for cross-functional collaboration and stakeholder interactions.Desired Qualifications Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation.Structured AI/GenAI training with a capstone project and practical solution development experience.