AI Technical Lead

2 weeks ago

India Fulcrum Digital Inc Full time

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.

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