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Solutions Architect
Zuci Systemsmumbai city, maharashtra, in19 hours ago
Job descriptionLead cross-functional teams in developing AI-driven applications. Mentor development teams on best practices in AI / ML technologies. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Present technical solutions and recommendations to leadership teams. Stay updated on advancements in AI / ML technologies, particularly Generative AI. Drive innovation by experimenting with new tools and techniques. Oversee the end-to-end lifecycle of AI projects, ensuring timely delivery and quality standards. Develop detailed documentation for AI solutions, including architecture diagrams and user manuals. Deploy AI solutions on cloud platforms (Azure / GCP) with best practices for MLOps. Monitor models for continuous improvement and ensure ethical use of AI. Technical Expertise : Proficiency in Generative AI frameworks (e.g., OpenAI GPT, LangChain, Hugging Face). Strong programming skills in Python, TensorFlow, PyTorch. Experience with cloud platforms like Azure or Google Cloud for model deployment. Experience : Minimum of 12 years in IT roles, with at least 4 years focused on AI / ML technologies. Hands-on experience in deploying Large Language Models (LLMs) at scale. Education : Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields. Certifications : Relevant certifications in AI / ML or Solution Architecture are preferred. Generative AI (GPT models, LLMs) Machine Learning and Deep Learning Cloud Computing (Azure / GCP) MLOps and Model Optimization Stakeholder Management Project Leadership Opportunity to work on cutting-edge AI projects. Collaborative work environment with growth opportunities. Competitive salary package aligned with market standards.
Position Title : AI Solution Architect
Location : Chennai or Bangalore, India
Employment Type : Full-Time
Experience Required : 12+ years overall experience, including 4+ years in AI technologies and Generative AI.
Roles and Responsibilities
1. Solution Design and Architecture
- Architect and design scalable AI solutions that align with business objectives.
- Implement Generative AI models using frameworks like OpenAI, LangChain, TensorFlow, and PyTorch.
- Optimize AI models for performance, scalability, and reliability.
2. Technical Leadership
3. Stakeholder Collaboration
4. Innovation and Research
5. Project Management
6. MLOps Implementation
Qualifications
Key Skills
Benefits
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Solution Architect • mumbai city, maharashtra, in
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