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Technical Project Manager AI

Remote / Online - Candidates ideally in
Houston, Harris County, Texas, 77246, USA
Listing for: Rysun Labs Inc
Remote/Work from Home position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, IT Project Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises, globally. Rysun guides and accelerates the Data & AI strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce to outperform competition and lead the change in their industry.

Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across India, USA, South Africa (a proud Level 2 B-BBEE Contributor), and UK.

Benefits
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Location:

Houston, TX (Hybrid)

Key Responsibilities Project Planning & Delivery
  • Lead end-to-end AI/ML project lifecycle (discovery → design → development → deployment → monitoring).
  • Define project scope, milestones, timelines, and resource allocation.
  • Ensure on-time, high-quality delivery aligned with business objectives.
  • Manage risks, dependencies, and change requests effectively.
Technical Oversight
  • Understand AI/ML architectures including:
    • Machine Learning pipelines
    • Deep Learning models
    • NLP, Computer Vision
    • Generative AI (LLMs, RAG, Prompt Engineering)
  • Collaborate with engineers on solution design and architecture reviews.
  • Ensure best practices in MLOps, model versioning, and deployment.
Stakeholder & Client Management
  • Translate business requirements into technical execution plans.
  • Conduct requirement workshops and sprint planning sessions.
  • Provide regular updates to internal leadership and external clients.
  • Handle client escalations and expectation management.
Agile & Process Management
  • Drive Agile/Scrum ceremonies (Sprint Planning, Stand-ups, Retros, Demos).
  • Create and manage user stories, backlog grooming, and sprint tracking.
  • Monitor KPIs such as velocity, burn-down, model performance metrics.
Quality & Governance
  • Ensure AI solutions meet performance, scalability, and security standards.
  • Oversee data governance, compliance, and ethical AI guidelines.
  • Monitor model accuracy, bias, and performance post-deployment.
Team Leadership
  • Lead cross-functional teams of AI Engineers, Data Scientists, Backend Developers, and Dev Ops.
  • Mentor team members and promote technical excellence.
  • Ensure collaboration between Product, Engineering, and Business teams.
Required Qualifications & Experience
  • Bachelor’s/master’s degree in computer science, AI, Data Science, or related field.
  • 6+ years of overall IT experience with 2–4 years in managing AI/ML projects.
  • Strong understanding of:
    • Python, ML frameworks (Tensor Flow, PyTorch, Scikit-learn)
    • LLMs, OpenAI APIs, Lang Chain, vector databases
    • Cloud platforms (AWS/GCP/Azure)
    • CI/CD and MLOps practices
    • Experience with Agile methodologies and tools like JIRA/Dev Ops.
Preferred Qualifications
  • Experience delivering Generative AI solutions in production.
  • PMP / Scrum Master certification.
  • Experience working with US or global clients.
Key Competencies
  • Technical depth with business acumen
  • Strong risk management capability
  • Decision-making under ambiguity
  • Leadership and team collaboration
  • Client-focused execution mindset

Flexible work from home options available.

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