Innosoft Corporation
AI ML Engineer & Project Manager
Innosoft Corporation, Washington, District of Columbia, us, 20022
Washington, United States | Posted on 12/05/2025
We are seeking a highly skilled and versatile professional to serve as both an
AI/ML Engineer
and
Project Manager , responsible for designing and implementing machine learning solutions while leading cross‑functional teams to deliver AI‑driven projects on time and within scope. This role bridges technical expertise with strategic execution, ensuring that AI initiatives align with business goals and deliver measurable impact. Key Responsibilities
Design, develop, and deploy machine learning models and AI systems tailored to business needs. Conduct data pre‑processing, feature engineering, model selection, training, and evaluation. Collaborate with data scientists, software engineers, and domain experts to integrate models into production environments. Monitor model performance and retrain/update models as needed. Stay current with advancements in AI/ML technologies and recommend innovative solutions. Project Management
Lead end‑to‑end project lifecycle for AI/ML initiatives, from ideation to deployment. Define project scope, goals, deliverables, timelines, and resource requirements. Coordinate cross‑functional teams including data science, engineering, product, and business stakeholders. Manage risks, dependencies, and change requests to ensure successful project delivery. Communicate project status, milestones, and outcomes to stakeholders and leadership. Requirements
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML development and deployment. 3+ years of experience in project management, preferably in tech or data‑driven environments. Proficiency in Python, TensorFlow, PyTorch, scikit‑learn, Orange, and cloud platforms (AWS and Azure). Strong understanding of machine learning algorithms, data structures, and software engineering principles. Experience with Agile/Scrum methodologies and project management tools (e.g., Azure DevOps). Excellent communication, leadership, and organizational skills. Preferred Qualifications
Experience with MLOps and CI/CD pipelines for ML. Familiarity with data governance, privacy, and ethical AI practices. Prior experience in a hybrid technical‑managerial role. Standard Employee Benefits. 50% Health Insurance Paid by Innosoft, Paid Vacation, 401K Match, STD LTD and AD&D paid by Innosoft.
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AI/ML Engineer
and
Project Manager , responsible for designing and implementing machine learning solutions while leading cross‑functional teams to deliver AI‑driven projects on time and within scope. This role bridges technical expertise with strategic execution, ensuring that AI initiatives align with business goals and deliver measurable impact. Key Responsibilities
Design, develop, and deploy machine learning models and AI systems tailored to business needs. Conduct data pre‑processing, feature engineering, model selection, training, and evaluation. Collaborate with data scientists, software engineers, and domain experts to integrate models into production environments. Monitor model performance and retrain/update models as needed. Stay current with advancements in AI/ML technologies and recommend innovative solutions. Project Management
Lead end‑to‑end project lifecycle for AI/ML initiatives, from ideation to deployment. Define project scope, goals, deliverables, timelines, and resource requirements. Coordinate cross‑functional teams including data science, engineering, product, and business stakeholders. Manage risks, dependencies, and change requests to ensure successful project delivery. Communicate project status, milestones, and outcomes to stakeholders and leadership. Requirements
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML development and deployment. 3+ years of experience in project management, preferably in tech or data‑driven environments. Proficiency in Python, TensorFlow, PyTorch, scikit‑learn, Orange, and cloud platforms (AWS and Azure). Strong understanding of machine learning algorithms, data structures, and software engineering principles. Experience with Agile/Scrum methodologies and project management tools (e.g., Azure DevOps). Excellent communication, leadership, and organizational skills. Preferred Qualifications
Experience with MLOps and CI/CD pipelines for ML. Familiarity with data governance, privacy, and ethical AI practices. Prior experience in a hybrid technical‑managerial role. Standard Employee Benefits. 50% Health Insurance Paid by Innosoft, Paid Vacation, 401K Match, STD LTD and AD&D paid by Innosoft.
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