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Fulcrum Digital Inc
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AI Technical Lead

AI Technical Lead

Fulcrum Digital Inc

7 years

0 Lacs

india

Posted:2 weeks ago| Platform:

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Skills Required

ai technology strategies leadership collaboration data model development deployment ml drive scalability efficiency security regulations integration monitoring optimization engineering certifications software architecture tensorflow pytorch aws azure devops docker communication ethics governance agile learning

Work Mode

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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