Technical Project Manager (AI, Data & Cloud)
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Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
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 strong 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: Python
o Frontend: React Angular Vue
Familiarity with CI/CD pipelines containerization (Docker Kubernetes) and cloud infrastructure (AWS preferred).
Experience working with DevOps and MLOps workflows is a strong plus.
Proficiency in Agile methodologies with hands-on use of Jira Azure DevOps (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 (TensorFlow PyTorch Scikit-learn) or analytics tools (Power BI Tableau Looker).
Exposure to big data technologies (Spark Kafka Airflow Redshift Snowflake BigQuery).
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.
Required Skills:
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 DevOps 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 Python React Angular Vue CI/CD pipelines containerization Docker Kubernetes cloud infrastructure AWS DevOps workflows MLOps workflows Agile methodologies Jira Azure DevOps communication skills stakeholder management US client engagement US time zone coordination AI/ML frameworks TensorFlow PyTorch Scikit-learn analytics tools Power BI Tableau Looker big data technologies Spark Kafka Airflow Redshift Snowflake BigQuery 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
