NO
Technical Project Manager driving product increments and enhancing tooling ecosystem at Nokia. Collaborating across teams in Bangalore and Ottawa to manage deliverables.
About the role
- Manage a team of 4–6 ML/AI engineers, providing mentorship, career development, and performance evaluations.
- Oversee 4–5 concurrent engineering projects, project planning, documentation, stakeholder management, work with cross-functional teams.
- Drive day-to-day task management, status updates, weekly reviews, and stand-up meetings.
- Contribute up to 20% - 10% hands-on coding, primarily in Python, to stay close to the technology and assist with complex problem-solving.
- Lead cross-functional teams of engineers and machine learning practitioners to deliver impactful LLM and AI solutions for top-tier industry clients.
- Drive the full project lifecycle for advanced ML projects: from scoping and planning to deployment, ensuring successful, timely, and high-quality delivery.
- Translate complex business requirements into actionable technical plans and roadmaps tailored to machine learning and LLM-based initiatives.
- Oversee project progress, resource allocation, and milestone achievement, making data-driven adjustments and risk mitigations as needed.
- Facilitate solution design discussions and ensure technical feasibility of LLM/ML approaches, collaborating closely with research and product stakeholders.
- Proactively resolve blockers, manage team dependencies, and champion best engineering practices for scalable AI systems.
- Prepare and track project KPIs, ensuring a transparent view of status, risks, and deliverables to leadership and client stakeholders.
- Foster a culture of collaboration and continuous improvement, working with other project managers to align on cross-team initiatives for LLM/ML excellence.
- Communicate technical ideas and project status clearly across engineering and non-technical leadership, tailoring detail as required.
Requirements
- Master’s degree in Computer Science, Data Science, Physics, Engineering, or a related field.
- 4+ years’ experience delivering ML or data-driven software projects in industry, including planning, execution, and delivery.
- 2+ years’ experience managing end-to-end engineering projects; experience specifically with LLMs or NLP projects is a strong plus.
- Hands-on familiarity with contemporary ML and software engineering tools (Python, git, Docker); comfortable discussing technical tradeoffs.
- Experience with agile/scrum methodologies in software or ML-focused teams.
- Good communication and stakeholder management abilities, including with non-technical audiences.
- Working proficiency in English; Spanish is a plus.
Benefits
- Indefinite contract.
- Equal pay guaranteed.
- Variable performance bonus.
- Signing bonus.
- Work visa sponsorship (If applicable).
- Relocation package (if applicable).
- Private health insurance.
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Flexible remuneration: hospitality and public transportation.
- Language classes and discounted lunch options.
- Working in a high paced environment, working on cutting edge technologies.
- Career plan.
- Opportunity to learn and teach.
- Progressive Company.
- Happy people culture.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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