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AI Engineering Leader

2 weeks ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Engineering Manager

We are looking for a seasoned leader to spearhead our AI engineering team. As the Senior AI Engineering Manager, you will be responsible for driving the technical vision and execution of AI-powered solutions across our organization.


This is a hands-on leadership role where you will blend your deep technical expertise with your passion for mentoring and growing high-performing teams. You will partner closely with product managers, business stakeholders, and other engineering leaders to define the roadmap and deliver transformative AI initiatives.


Your Impact
- Lead and Mentor: Manage and grow a team of 8 direct reports, fostering a culture of innovation, collaboration, and engineering excellence.
- Drive Technical Strategy: Define the technical roadmap and architecture for enterprise AI solutions, ensuring they are scalable, reliable, and aligned with business goals.
- Execute and Deliver: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and model development to deployment and operational support in a fast-paced, agile environment.
- Collaborate and Influence: Work cross-functionally with teams across IT and the business to identify opportunities for AI, gather requirements, and ensure successful adoption of your team's solutions.
- Champion Best Practices: Establish and promote best practices for MLOps, data governance, model validation, and the ethical use of AI.


Requirements

- 10+ years of experience in software engineering, with at least 5 years in the AI/ML space.
- 3+ years of formal people management experience, with a proven track record of building and leading high-performing engineering teams.
- Strong technical background in machine learning, including experience with deep learning, NLP, predictive modeling, and data science.
- Proficiency with common AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python).
- Experience with MLOps principles and tools for building and deploying models at scale (e.g., Kubeflow, MLflow, Vertex AI, or similar platforms).
- Familiarity with cloud platforms (GCP, AWS, or Azure) and data engineering technologies (e.g., BigQuery, Spark, Kafka).
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.


The Team

We are a dynamic, forward-thinking team that thrives on solving complex challenges and delivering high-impact solutions. We build, deploy, and manage intelligent systems that automate processes, provide predictive insights, and create a more efficient, secure, and data-driven organization.


We believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships.


We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.

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