Job Title: Technical Project Manager (AI, Data & Cloud)

Location: Kochi - Hybrid Job Type:

Full-time Experience: 10+ years

Job Summary

We are hiring a Technical Project Manager who can code, architect, and build not just coordinate. This is a hands-on technical leadership role for someone who has grown from developer or solution architect into delivery leadership.

The ideal candidate will own end-to-end technical delivery, actively participate in architecture decisions, code reviews, and solution design, and lead teams building scalable, cloud-native, AI- and>experience is a robust plus).

Experience delivering AI, data analytics, or data-driven platforms, including dashboards, analytics pipelines, or ML-enabled features.

Solid understanding of data architectures, such as data warehouses, data lakes, ETL/ELT pipelines, and analytics workflows.

AWS Cloud Certification (minimum: AWS Cloud Practitioner; Associate or Professional preferred).

Experience with modern tech stacks:

o Backend: Node.js, Python, Java, .NET

o Frontend: React, Angular, Vue

Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure (AWS preferred).

Experience working with Dev Ops and MLOps workflows is a strong plus.

Proficiency in Agile methodologies, with hands-on use of Jira, Azure Dev Ops (ADO), or similar tools.

Strong communication and stakeholder management skills able to bridge business, engineering, and data teams.

Experience working directly with US-based clients and stakeholders, including overlap with US time zones and participation in technical discussions, planning, and delivery governance.

Nice to Have

Experience with AI/ML frameworks (Tensor Flow, PyTorch, Scikit-learn) or analytics tools (Power BI, Tableau, Looker).





Exposure to big data technologies (Spark, Kafka, Airflow, Redshift, Snowflake, Big Query).

Familiarity with multi-cloud environments (Azure, GCP).

Experience with microservices, serverless architecture, and event-driven systems.

Background in product development environments or startup culture.

Experience in budgeting, resource planning, and delivery forecasting.

Prior experience delivering solutions in Oil & Gas, Energy, or Utilities domains, including data platforms, analytics, operational systems, or digital transformation initiatives.

What We Offer

Work on impactful, AI- and data-driven projects with real engineering ownership.

A team of strong developers, architects, data engineers, and PMs who value tech-first leadership.

Performance-based growth with opportunities to move into senior leadership roles.

Flexible work culture focused on outcomes, quality, and delivery excellence.

. Skillset Required: coding, architecture, technical leadership, end-to-end technical delivery, architecture decisions, code reviews, solution design, team leadership, scalable systems, cloud-native systems, AI systems, data-driven systems, AI delivery, data analytics delivery, ML-enabled platforms, engineering practices, technical delivery planning, sprint execution, QA, deployment, post-release stability, business requirements translation, cloud-ready solutions, AI components,



data analytics components, system architecture design, APIs design, data pipelines design, cloud infrastructure management, prototyping, PoCs, technical escalation, engineering, Dev Ops, QA, data, product teams coordination, AI/ML solution delivery, data analytics solution delivery, reporting solutions, performance tuning, reliability, data integrity, Agile practices implementation, Scrum practices implementation, project plan creation, technical documentation, risk logs, delivery metrics, client engagement, stakeholder management, leadership collaboration, IT experience, project management, delivery management, technical program management, developer experience, solution architect experience, tech lead experience, full-stack architecture, data architectures, data warehouses, data lakes, ETL pipelines, ELT pipelines, analytics workflows, AWS Cloud Certification, Node.js, Python, Java, .NET, React, Angular, Vue, CI/CD pipelines, containerization, Docker, Kubernetes, cloud infrastructure, AWS, Dev Ops workflows, MLOps workflows, Agile methodologies, Jira, Azure Dev Ops, communication skills, stakeholder management, US client engagement, US time zone coordination, AI/ML frameworks, Tensor Flow, PyTorch, Scikit-learn, analytics tools, Power BI, Tableau, Looker, big data technologies, Spark, Kafka, Airflow, Redshift, Snowflake, Big Query, multi-cloud environments, Azure, GCP, microservices, serverless architecture, event-driven systems, product development, startup culture, budgeting, resource planning, delivery forecasting, Oil & Gas domain knowledge, Energy domain knowledge, Utilities domain knowledge, operational systems, digital transformation

📌 Technical Project Manager (AI& Data & Cloud) (India)
🏢 HIRESTAR JOB BANK
📍 India