Fulcrum Digital - Technical Lead - Artificial Intelligence/Machine Learning (7-10 yrs)

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.