AI/ML Technical Project Manager
- Thryve Digital
- 12 - 18 years
- Hyderabad
- 19 days ago
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Job Description
Job Role : AI/ML Technical Project Manager
Exp: 12-18 Years
Work Location : Chennai / Hyderabad
Work Model : Hybrid
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 18 years of total experience, with at least 2 years of experience leading/managing AI/ML projects with Predictive Modeling experience, achieving clear & measurable business objectives.
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Project & Program Management
Role Category: Technology / IT
Role: IT Project Manager
Employement Type: Full time
Contact Details:
Company: Thryve DigitalLocation(s): Hyderabad
Keyskills: Technical Project Management Artificial Intelligence Natural Language Processing IT Project Management Machine Learning IT Projects Deep Learning Python
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