Vigyanlabs - AI Engineering Manager
Posted on: 29/09/2025
Job Description
The Role :
AI Engineering Manager
We are seeking an experienced and visionary AI Engineering Manager to lead our team of talented engineers. The ideal candidate will be a technical leader and a collaborative manager, responsible for guiding our team to build innovative and high-performance AI solutions. You'll play a crucial role in shaping our technical roadmap, fostering a culture of excellence, and ensuring our projects are delivered on time and within budget. This is a unique opportunity to blend strategic leadership with hands-on technical oversight in a fast-paced, cutting-edge environment.
Responsibilities :
- Team Leadership & Development : Lead, mentor, and inspire a team of AI/ML engineers and data scientists. Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth.
- Technical Strategy & Vision : Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. This includes defining the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring.
- Project & Budget Management : Oversee the entire project lifecycle for AI projects, from ideation to production. Ensure projects adhere to timelines and budgets, and are delivered with high quality.
- Performance Monitoring : Define and implement key performance indicators (KPIs) for the engineering team and AI models, and regularly report on performance to stakeholders.
- Stakeholder Communication : Act as the primary point of contact for the engineering team, effectively communicating project status, goals, and technical challenges to both technical and non-technical stakeholders.
- Cross-Functional Collaboration : Coordinate with product managers, data scientists, and other internal teams to ensure seamless project execution and alignment on goals.
Qualifications :
Education :
- Bachelor's degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. with a specialization in Machine Learning or Artificial Intelligence is a significant plus.
Experience :
- 3+ years of experience in a management or lead role within an engineering team.
- Proven hands-on experience in the AI/ML domain, including developing and deploying machine learning models, working with large datasets, and managing data pipelines.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services (e.g., Sagemaker, Vertex AI, MLFlow).
Technical Skills (AI Focus) :
- Strong understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages commonly used in AI/ML, such as Python and R.
- Experience with data processing and big data technologies like Spark, Hadoop, or Dask.
- Knowledge of MLOps principles and tools for model versioning, serving, and monitoring.
Core Competencies :
- Strong leadership and mentoring abilities to motivate and develop a high-performing team.
- Excellent problem-solving skills and a strategic mindset.
- Ability to thrive in a dynamic, fast-paced environment and manage multiple priorities effectively.
Did you find something suspicious?
Posted By
62
Posted in
AI/ML
Functional Area
Engineering Management
Job Code
1554015
