Techdoquest Jobs Remote Jobs in Usa

Key Responsibilities

Performs Methods Engineering analysis including process design, time and motion studies.

Participates in I.E. projects and programs within areas of responsibility.

Assists in the implementation of these projects into business with quality tools, supporting processes and ongoing measures for success.

May provide cost analysis and return on investment calculations associated with project selection.

Conducts ergonomics / human factors evaluations, recommends and implements improvements to work area designs.

Develops and implements manufacturing facility design of plant layout, material handling systems, material staging and warehousing as desired.

Supports new products introductions by providing routine PLC/ePLC deliverables such as line side and floor stock set up, introduction of new hand tools and manufacturing line set up.

Serves as a role model and sets the example, whose behavior is emulated by other engineering team members. (Safe behavior, follow proper protocols and procedures, including core values).

Calculates and maintains capacity data for materials processing, people, space, and equipment associated with production. Provides guidance to manufacturing and logistics related to effective and efficient use of assets and production processes.

Establishes standards and procedures for assigned areas of responsibility.

Other Requirements:

This position may require standing for extended periods of time, walking, working in tight spaces, bending, squatting, twisting, kneeling, reaching, lifting, the ability to distinguish between colors, the ability to work in an environment with noise that may be difficult for some individuals with sensitivity to noise, and the use of hand and power tools.

Additionally, because this position also may involve working in a clean room, the use of appropriate Personal Protective Equipment such as coveralls, hoods, booties, safety glasses, gloves, respirators, chemical aprons, and face shields may be required.

Position Overview

The Technical AI Project Manager plays a critical role in driving the successful delivery of Artificial Intelligence (AI) projects. This position bridges the gap between technical AI development teams and business stakeholders, ensuring that AI solutions are delivered on time, within scope, and aligned with organizational objectives. The ideal candidate combines strong project management skills with technical knowledge of AI methodologies, tools, and best practices.

Key Responsibilities

Lead end-to-end planning, execution, and delivery of AI and machine learning projects, ensuring alignment with business goals and technical feasibility.

Collaborate with cross-functional teams including data scientists, software engineers, product managers, and business analysts to define project scope, objectives, and deliverables.

Develop detailed project plans, manage schedules, allocate resources, and monitor progress to ensure timely delivery of project milestones.

Identify potential risks, develop mitigation strategies, and proactively resolve issues that may impact project timelines or quality.

Translate complex technical requirements and AI concepts into clear, actionable tasks for both technical and non-technical audiences.

Oversee the implementation of AI models, data pipelines, and system integrations, ensuring adherence to best practices in software development and AI ethics.

Manage project budgets, track expenditures, and report on project status to stakeholders and senior management.

Ensure compliance with data security, privacy regulations, and organizational policies throughout the AI project lifecycle.

Drive continuous improvement by capturing lessons learned and sharing best practices across the organization.

Qualifications

Bachelor’s or Master’s degree in a related field

3+ years of experience managing technical projects, preferably in AI, machine learning, or data analytics domains.

Strong understanding of AI/ML concepts, and software development life cycle.

Proven ability to manage multiple projects simultaneously in a fast-paced, agile environment.

Excellent organizational, communication, and leadership skills.

Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and MLOps tools is a plus.

Project Management Professional (PMP), Agile, or Scrum certification is desirable.

Key Competencies

Technical acumen in translating requirements for the AI team