Job Description: Represent Company and explain benefits of their services especially MEP Design to prospective clients, architects, developers, corporates, PMCs, etc. Assess client requirement and identify appropriate technical solutions and service . Develop and execute strategies to build long-term relationship with the clientele Travel across the region for business & project management Coordinate projects with clients and internal design team for meeting the deliverables within specify timelines. Technical presentation to clients, technical site visit to various projects. Explain drawings and documents as furnished by the deign team to architect/ developer / clients. Techno commercial negotiation with clients to book orders and at various stages of deliverables as required. Use appropriate judgement to optimally leverage resources to address issues or opportunities. To ensure customer satisfaction thereby generating repeat business. Knowledge Required: Statutory national and international codes like related electrical design / plumbing design/HVAC design, / Fire Design Design /Co-ordination/ Execution experience in any one/all of the services (Mechanical / Electrical/ Plumbing & Firefighting). Knowledge on building information modelling (BIM) will be added advantage Knowledge in project management consultancy will be added an advantage Skills Required: Knowledge on Auto Cad, MS office (Excel, Word & Power Point etc.). Co-ordination with other MEPF services Excellent in speaking and writing in English and religion language

Role Summary: The AI Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models. Essential Responsibilities: Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives. Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform). Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements. Serve as a primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives. Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases. Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines. Assume the role of an engagement coordinator between the Thryve India team and US counterparts (techno-functional). Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. Proactively track delivery statuses and project progress, taking ownership of all deliverables from Thryve. Communicate effectively with team members, US stakeholders, and management. Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies. Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features. Required Skills and Qualifications: Bachelor's degree in engineering, computer science, or a related field. 12 to 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives. Good understanding of US Health insurance with at least 2+ years of experience in the same. Experience and understanding of the entire MLOps pipeline, from data ingestion to production. Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps. Proven ability to take successful, complex ideas from experimentation to production. Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform. Excellent communication, presentation, and interpersonal skills. Proven experience in leading, motivating & inspiring teams to foster collaboration. Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders. Experience in implementing process improvements and learning from past projects to enhance future performance. Ability to analyze external and internal processes and create strategies for service delivery optimization. Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations. Experience In handling team & managing multiple stakeholders.