AI Technical Lead

7 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title:


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:


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:

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