Job Title : AI Technical Lead
Please send your applications to ai@fulcrumdigital.com
Job Summary :
The Technical Lead is responsible for designing, implementing, and optimizing AI-driven solutions that align with business objectives and technology strategies. This role demands a mix of technical expertise, leadership, and cross-functional collaboration to deliver scalable, secure, and impactful AI systems.
Key Responsibilities :
AI Solution Design :
- Architect end-to-end AI solutions, covering data collection, model development, deployment, and integration.
- Collaborate with data scientists and engineers to align model requirements with architecture.
Technical Leadership :
Mentor teams on best practices in AI / ML development and system integration.Stay updated on emerging AI technologies and drive their adoption.Stakeholder Collaboration :
Translate business needs into AI solutions while bridging technical and non-technical teams.Present designs and incorporate feedback from stakeholders.Scalability & Performance :
Build AI systems capable of handling large data volumes and complex computations.Optimize systems for production efficiency and monitor performance.Security & Compliance :
Embed security, data privacy, and ethical AI principles into solution designs.Ensure adherence to relevant regulations and industry standards.Integration & Deployment :
Oversee seamless integration of AI solutions with existing systems.Define CI / CD strategies for deploying and monitoring AI models.Continuous Improvement :
Evaluate post-deployment performance and lead optimization efforts.Drive innovation through exploration of new AI use cases.Qualifications :
Education : Bachelor's in Computer Science, Engineering, or related field (Master’s or certifications preferred).
Experience :
7+ years in software architecture; 3+ years in AI / ML.Proficiency in frameworks like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).Expertise in DevOps practices (CI / CD, Docker, Kubernetes).Skills :
Strong understanding of the AI / ML lifecycle and data engineering.Excellent problem-solving and communication skills.Knowledge of AI ethics, governance, NLP, or computer vision.Preferred : Familiarity with Agile methodologies and a passion for fostering team learning and innovation.