
AI Engineering Lead
19 hours ago
Lead AI Solutions Architect
Required Skills and Qualifications:- Technical Skills
- Deep understanding of AI concepts, including machine learning algorithms, natural language processing, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in designing scalable and robust AI systems, particularly for enterprise applications.
- Extensive experience with AWS services, particularly in containerization (ECS, EKS, Fargate), serverless computing (AWS Lambda, Step Functions), and API management (API Gateway).
- Ability to select appropriate AI models and frameworks based on performance metrics, cost-effectiveness, and specific use cases.
- Experience
- 8+ years of experience in AI/ML roles, with a focus on architecture and system design.
- Experience in leading AI projects and managing cross-functional teams.
- Familiarity with designing and implementing multi-agent workflows and decision-making frameworks.
- Soft Skills
- Proven ability to lead teams and make high-level architectural decisions.
- Strong interpersonal skills to collaborate effectively with Data Scientists, ML Engineers, and Cloud Teams.
- Excellent verbal and written communication skills to articulate complex AI concepts to non-technical stakeholders.
- Governance & Compliance Knowledge
- Understanding of AI ethics, bias detection, model drift, and compliance with regulations.
- Knowledge of security best practices in AI model deployment and data handling.
- Continuous Learning
- Commitment to continuous learning in the rapidly evolving field of AI, including obtaining relevant certifications.
- Competitive salary
- Private healthcare
- Flat structure
- Lunch card
- International projects
- Company car
- Canteen
- Bike parking
- Playroom
- Shower
- In-house trainings
- In-house hack days
- Modern office
- Agile
- Scrum
- AWS
- Machine learning
- Ai Tools
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