AI Technical Lead

1 week ago

bangalore, India Fulcrum Digital Inc Full time

Job Title: AI Technical Lead Please send your applications to ai@fulcrumdigital.comJob 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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