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Technical Delivery Manager - Machine Learning / Artificial Intelligence

PEOPLE IMPACTHyderabad

30+ days ago

Job description

Position : AIML Technical Delivery Manager.

Location : Hyderabad / Chennai.

Experience : 12- 18 years.

About the Role :

We are seeking an accomplished AIML Technical Delivery Manager, passionate about transforming the US healthcare ecosystem with AI and ML solutions.

This is a pivotal leadership role focusing on the delivery, operations, and evolution of scalable, production-grade ML models, with a special emphasis on US health insurance use cases.

Youll lead cross-functional AIML teams, drive engagement between Indian and US stakeholders, and ensure excellence at every stage of project executionfrom ideation to production deployment.

Key Responsibilities :

Technical & Strategic Leadership :

Drive the AI / ML programs technical strategy, ensuring alignment with both business needs and company objectives.
Guide architectural choices, experiment with innovative technologies, and foster technical best practices among AI teams.

Team & Delivery Management :

Mentor and manage a high-performing team of ML Engineers, MLOps, and Data Engineers.

Plan and oversee end-to-end delivery of advanced analytics platforms and ML models for critical US healthcare applications.

Manage day-to-day technical operations, ensuring delivery meets scope, quality, and timeline expectations.

Stakeholder Engagement :

Be the primary India-based liaison for US clients and leadershipbridging business objectives with technical solutions.

Translate complex requirements into actionable AI / ML projects.

Regularly communicate delivery status, risks, and workflows to multiple stakeholders.

Collaboration & Innovation :

Orchestrate cross-functional teams (engineering, data science, product, and infrastructure) to convert business challenges into impactful batch and real-time ML solutions.

Continuously evaluate and propose new technologies, frameworks, and MLOps processes to accelerate delivery and improve outcomes.

Process Excellence :

Implement and advocate for best-in-class engineering and MLOps practices.

Proactively identify and resolve risks, driving contingency plans as necessary.

Champion continuous improvement to enhance speed, reliability, and scalability of ML-powered features.

Requirements :

Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

12- 18 years of overall experience, including 5+ years in delivery / AI project management and at least 3 years working directly in US Health Insurance or US Healthcare Analytics.

Hands-on expertise and leadership in end-to-end MLOps pipelinesfrom data ingestion, model experimentation, deployment to monitoring.

Proven ability to take AIML solutions from PoC to production in the US healthcare domain, demonstrating measurable business impact.

In-depth knowledge of AI / ML algorithms (supervised, unsupervised, reinforcement learning) and cloud platforms (GCP preferred, AWS / Azure a plus).

Exceptional communication, stakeholder management, and presentation abilities; capable of interfacing with both technical and business audiences, including C-suite leaders.

Demonstrable experience leading, developing, and motivating multidisciplinary AI teams (10+ people), fostering innovation and collaboration.

Strong track record of risk identification, mitigation planning, and continuous delivery improvement.

Experience with diverse, globally distributed teams; adept at working across time zones and cultures.

Preferred Attributes :

Prior product development experience in US payer / provider landscape or value-based care analytics.

Exposure to regulatory / privacy compliance relevant to US healthcare (HIPAA, etc.)

Experience implementing automation and CI / CD for ML models at scale.

(ref : hirist.tech)

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Technical Delivery Manager • Hyderabad

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