Axcess Tech Systems India
Data Science Lead - AWS Data Engineering & AI/ML
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
5 September 2026
What they need
We offer Cloud Managed Services, AI Data solutions, and DevOps Automation to enhance the agility, intelligence, and delivery velocity of businesses.
We are a cloud-native services company delivering solutions across geographies and industries, with a strong focus on AI and Data-driven transformation.
We specialize in cloud transformation, AI Data services, DevOps automation, managed services, and cloud-native application development. Helping organizations modernize intelligently, not just migrate.
With offices in the USA and India, we enable businesses to transform and secure their IT infrastructure, scale operations with data-backed insights, and manage customer workloads through ISO 27000-certified and SOC 2 compliant Global Network Operations Centers (GNOC).
Job Information
Job Title Data Science Lead - AWS Data Engineering AI/ML
Industry Data Science
Work Experience 3-5 years
City Bengaluru
State/Province Karnataka
Country India
ZIP/Postal Code 560102
Im Interested Refer a Friend
Job Description
We are seeking a Team Lead - in domain, primarily, of Data Engineering and Analytics (DEA) and partially of DS/AIML on AWS - who will be responsible for one s team technical development activities, ones own individual technical contributions, along with quality of development, for DEA/DS/AIML projects. This role is ideal for someone who understands data and cloud engineering, has moderate exposure to AI/ML projects, and is comfortable working in a structured, processdriven Agile setup, reporting directly to the Head of DEA/DS/AIML. This is a partially development and a technical lead role, but not an architect position, and also not a project management position. The role is ensuring disciplined and efficient development work from self and the team being led, customer satisfaction, and internal process adherence - sticking to defined responsibilities and guiding team members in their development tracks
Responsibilities
Development Delivery
- Work on assigned DEA/DS/AIML development projects and tasks.
- Coordinate with developers to track progress and ensure quality deliverables.
- Review code, data flows, and technical artifacts before delivery.
- Ensure deliverables meet AWS and organizational standards.
- Obtain required approvals from the DEA/DS/AIML Head.
- Support milestone-driven customer delivery.
SCRUM Process Adherence
- Participate in Agile/SCRUM activities such as stand-ups, sprint planning, and retrospectives.
- Track tasks, manage dependencies, and escalate blockers.
- Ensure adherence to sprint discipline and organizational processes.
Customer Support Coordination
- Ensure timely, high-quality customer deliverables.
- Coordinate with delivery leads for updates and clarifications.
- Act as a bridge between developers, delivery leads, and the DEA/DS/AIML Head.
Requirements
- Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.
- 5+ years of experience in software development with a focus on Java technologies.
- Proven experience leading software modernization projects, including migration to modern Java frameworks.
- Strong expertise in Java, Spring Boot, and related technologies.
- Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (Docker, Kubernetes).
- Experience with modern software development practices, such as DevOps, CI/CD, and automated testing.
- Exceptional problem-solving and debugging skills.
- Outstanding communication and leadership abilities.
- Capacity to work effectively in a collaborative team environment.
- A commitment to staying up-to-date with the latest industry trends and technologies.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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