Engineering Manager - AI / Machine Learning
Quick Summary
Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.
1. Technology & Data Team Management: Lead, mentor, and inspire a team of software engineers, and other technology professionals.
Bachelor’s degree in Computer Science, Engineering, or related field. 10+ years in software engineering or ML engineering; 3+ years leading teams. Strong experience designing and deploying machine learning systems in production.
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
What We Offer
~1 min readAbout the Role
~1 min readWe are seeking a highly motivated and experienced Engineering Manager to lead our talented nearshore software engineering teams. The ideal candidate will be a dynamic leader with a strong technical background and a passion for developing people and fostering a culture of innovation. This role is pivotal in ensuring the successful technical delivery for our clients, driving the growth of our technology and data capabilities, and spearheading the adoption of cutting-edge practices, including AI-powered coding and delivery.
Responsibilities
~1 min read- Lead, mentor, and inspire a team of software engineers, and other technology professionals.
- Foster a collaborative and inclusive team environment that encourages open communication, creativity, and continuous learning.
- Conduct regular performance reviews, provide constructive feedback, and support the career development and growth of team members.
- Manage team allocation and resource planning to ensure projects are adequately staffed with the right talent.
- Motivate the team to achieve a high level of performance and engagement.
- Oversee the end-to-end technical execution of multiple client engagements, ensuring they are delivered with the highest technical quality standards.
- Provide technical leadership and guidance to project teams on architecture, technology, and implementation.
- Champion and enforce best and innovative practices for software development, including AI-Powered Development.
- Support the recruitment lifecycle for technology, including interviewing and onboarding top-tier talent in the nearshore market.
- Design and oversee training and development programs to enhance the technical and professional skills of the team.
- Drive the development and integration of AI-powered coding tools and delivery practices to improve efficiency, quality, and speed.
- Foster a culture of innovation by encouraging experimentation and the adoption of new data-driven approaches.
- Develop and expand the team's capabilities in key areas such as cloud computing, data engineering, machine learning, and artificial intelligence.
- Stay abreast of industry trends and advancements to ensure our technology stack and practices remain modern and competitive.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 10+ years in software engineering or ML engineering; 3+ years leading teams.
- Strong experience designing and deploying machine learning systems in production.
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with MLOps practices, model lifecycle management, and monitoring.
- Hands-on experience with cloud AI services (Azure ML, AWS SageMaker, or GCP Vertex AI).
- Experience implementing AI-driven coding tools.
- Strong agile experience and talent development background.
- Experience with LLM-based applications (RAG, fine-tuning, embeddings).
- Experience leading Data Science and ML teams in consulting environments.
- CI/CD pipelines for ML systems
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 59%
- Scored at
- May 6, 2026
Signal breakdown
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