Engineer - Data Science (44385)
Engineer - Data Science (44385)
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Job Description
Job Title: Data & GenAI AWS Specialist
Location: Bangalore
Job Overview:
We are seeking a seasoned Data & GenAI Specialist with deep expertise in AWS Managed Services (PaaS) to join our innovative team. The ideal candidate will have extensive experience in designing sophisticated scalable architectures for data pipelines and Generative AI (GenAI) solutions leveraging AWS cloud services. Key to this role is the ability to articulate architecture solutions clearly and effectively to customers helping them conceptualize and implement advanced GenAI-driven applications tailored precisely to their business requirements.
Responsibilities:
Engage closely with customers to thoroughly understand their business challenges translate their requirements into comprehensive architecture solutions and effectively communicate intricate technical details.
Architect and oversee the design development and deployment of scalable resilient data processing pipelines utilizing AWS services such as AWS Glue AWS Lambda Amazon EMR and Amazon SageMaker.
Lead the architectural design and implementation of robust GenAI systems leveraging AWS foundational models and frameworks including Amazon Bedrock AWS Inferentia Amazon SageMaker and Amazon Kendra.
Collaborate with internal and customer teams to align architectural strategies with business objectives ensuring adherence to AWS best practices.
Optimize and refine data architectures to effectively handle large-scale GenAI workloads prioritizing performance scalability and robust security.
Document and promote architectural best practices in data engineering pipeline architecture and GenAI development within AWS environments.
Stay abreast of emerging architectural trends innovative technologies and advancements in AWS and GenAI ecosystems to ensure solutions remain cutting-edge and efficient.
Have a keen sense of maximising and extending the AWS investments already done by the clients instead of a rip and replace mentality.
Qualifications:
Masters degree or higher in Computer Science Data Science AI or related technical fields
Knowledge of architecting and building data pipelines and GenAI solutions specifically on AWS.
Expert-level proficiency in AWS architectural patterns and services including AWS Glue Lambda EMR S3 and SageMaker.
Deep experience with GenAI and foundational models such as Amazon Bedrock Amazon SageMaker JumpStart and related AWS tools.
Solid understanding of popular GenAI frameworks and libraries (e.g. Hugging Face LangChain etc).
Excellent grasp on building AI Agents and Agentic workflows.
Exceptional communication skills adept at clearly conveying complex architectural concepts to non-technical stakeholders.
Desired Skills:
Knowledge of deploying cloud-native architectures leveraging CI/CD and Infrastructure-as-Code (Terraform CloudFormation).
Strong understanding of software architecture data architecture and enterprise-level system design.
Outstanding problem-solving capabilities and adaptability within fast-paced evolving technological landscapes.
AWS certifications particularly AWS Certified Solutions Architect Professional or AWS Certified Machine Learning Specialty strongly preferred.
Why Join Us:
Be at the forefront of cutting-edge GenAI and AWS cloud architectural innovation working on the AI Lab.
Thrive in a collaborative dynamic and supportive team environment.
Continuous learning and growth opportunities.
Education and Experience Required
Altimetrik is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race color religion age sex sexual orientation gender identity national origin disability status or protected veteran status or any other status protected by the laws or regulations in the locations where we operate.
Employment Type
Full Time
