Vigyanlabs - AI Engineering Manager
3 days ago
The Role : AI Engineering ManagerWe 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 :- Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts clearly to diverse audiences.- 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. (ref:hirist.tech)
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