2 Ml Solutions Jobs

Job Overview: As an Emerging Technology Architect with 15+ years of experience in identifying, evaluating, and integrating cutting-edge technologies into the organization's ecosystem and future projects, ensuring that the organization stays ahead of industry trends and maintains a competitive edge. Must have proven experience in Pre-sales and Principal Architect / Lead Solution Architect Role in Emerging technology like AI/ML, Blockchain, etc. Responsibilities: Technology Evaluation and Adoption: The Emerging Technology Architect is responsible for leading the strategic design, implementation, and governance of next-generation technology solutions across AI/ML, cloud, blockchain, big data, security, and automation. This role requires deep expertise in cutting-edge technologies, industry best practices, and innovative approaches to drive business transformation. Identify emerging technologies like Gen AI, DeFi, LC-NC, AI-ML, Data Engineering etc and assess their potential impact on the organization. Conduct thorough research and feasibility studies to evaluate new technologies. Develop technology roadmaps and adoption strategies aligned with business objectives. RFP/RFI/RFQ response for Architectural Design: Lead the end-to-end process of responding to RFPs, RFIs, and RFQs, ensuring timely and high-quality submissions. Analyze and understand client requirements, and collaborate to gather relevant information. Lead architectural discussions and solution workshops for design exercises to create E2E solutions and mapping requirements to solution/service catalogues. Must be able to lead client discussions, workshops, support presales solutions and deliver on short-term discovery, architecture assessments. Drive architectural change management and oversee the design, implementation, or delivery of processes, programs, and policies using specialized knowledge and skills. Participate in the Architecture Review process. Actively listens and respectfully challenges customers/partners when going in the wrong direction, presents insights and alternatives, and takes action appropriately. Lead the design of innovative, scalable, and secure solutions using emerging technologies. Develop architectural blueprints and maintain documentation to ensure consistency with best practices. Collaborate with cross-functional teams to integrate new technologies into existing systems. Design and implement AI/ML solutions, including NLP, LLMs, computer vision, and generative AI to enhance business intelligence and automation. Stay ahead of industry trends, contribute to whitepapers, and represent the organisation in technology forums and conferences. Develop and articulate technical solutions, architecture, and strategies to address client needs as outlined in the RFP/RFI/RFQ. Collaborate with various teams (technical, sales, legal, etc.) to create comprehensive and persuasive proposals. Qualifications: B.E. / B. Tech / M. Tech / MCA Renowned Certification in AI/ML , BlockChain 15 + years of experience in IT related projects 10+ years of experience in IT projects for Govt. clients Experience in IT projects in Finance sector At least 5 years or more working as AI/ML Architect Architect in large scale IT projects (More than 100 Cr.) Strong understanding of cloud-based technologies and architecture patterns (AWS, Azure, GCP etc.) Knowledge of emerging technologies like Generative AI, Blockchain technologies, Low- Code/No-Code platforms, etc 10+ years of experience in IT projects for Govt. clients

Job description Experienced and skilled technical lead Architect to drive AI solutions across the organization liaising between the Product Management team and the engineering teams translating business requirements into robust scalable and innovative AI solutions Responsibilities Technical Leadership Solution Architecture Lead the design architecture and implementation of AI solutions utilizing Google Gemini Python and other relevant AI ML technologies This includes defining system architectures identifying appropriate technologies and ensuring scalability and maintainability Business Case Solutioning Collaborate closely with the Product Management team to understand business needs and translate them into feasible and impactful AI solutions This involves analyzing requirements identifying potential use cases and developing comprehensive technical solutions Technology Evaluation Selection Research evaluate and recommend the most suitable AI ML technologies and frameworks to address specific business challenges Stay abreast of the latest advancements in the AI landscape particularly concerning Google Gemini and related ecosystems Collaboration Communication Effectively communicate technical concepts to both technical and non technical audiences Collaborate effectively with cross functional teams including Product Management Engineering and Operations Documentation Knowledge Sharing Create and maintain comprehensive technical documentation including architecture diagrams design specifications and implementation details Contribute to the development of internal knowledge bases and best practices Required Skills Qualifications Extensive experience 8 years in designing, developing and deploying Analytics projects Hands on experience in building AI ML solutions Proven track record of successfully delivering complex AI projects Deep understanding of Google Geminis capabilities and limitations Experience working with Google Cloud Platform GCP and its AI ML services is highly desirable Proficiency in Python and other relevant programming languages used in AI ML development egTensorFlow PyTorch Strong expertise in various AI ML techniques including deep learning natural language processing NLP computer vision and reinforcement learning Experience with designing and implementing scalable and robust AI systems Familiarity with microservices architecture and containerization technologies e g Docker Kubernetes is a plus Excellent problem solving and analytical skills Ability to quickly understand complex business problems and translate them into technical solutions Strong communication interpersonal and collaboration skills Ability to effectively communicate technical concepts to both technical and non technical stakeholders Experience working in an Agile development environment Education in Computer Science Engineering or a related field Preferred Skills Qualifications Experience with AI ML frameworks relevant to Google Gemini Experience with data engineering frameworks and technologies Experience with MLOps and CI CD pipelines Experience with deploying AI models to production environments Prior experience working within a COE structure