Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

How Will You Make an Impact

Seeking a strategic technical associate with expertise in process innovation, product development, AI integration, and platform engineering.

This position encompasses more than just engineering; it demands systems thinking, technical proficiency, and the capacity to lead implementation teams while crafting vision and adoption strategy.

Roles & Responsibilities:

Hands-on individual contributor of a team of highly skilled software developers, testers and domain experts-ensuring great execution of Agile/SCRUM processes and repeatable, predictable, and high-quality delivery of software solutions.Participate in and lead the design and development of new software and/or extensive software revisions.Work with the product owner to define technical requirements and priorities then develop user stories, designs, and development tasks to be delegated to the team. Be responsible for a successful conclusion to sprints and releases.Identify areas to collaborate on across the different domains in order to drive consistency, technology and process sharing, as well as code re-use.Represent the team in cross-organisational development forums as well as customer requirements gathering and software validation and training sessions.Rely on extensive experience and judgment to understand sophisticated problems and resolve them efficiently, Use prior knowledge and experience to provide functional and technical support and leadership to colleagues.Participate in training and orienting new software engineers as they join the team.

Candidate Requirement: Education & Experience levels:

Bachelors of Engineering/Computer Science or Master degree or equivalent with 8+ years of overall Experience.

Skills Knowledge & Experience:

Strong AWS expertise, including S3, Lake Formation, Glue, Athena, Redshift, EC2, Lambda, Step Functions, IAM (roles, policies, cross-account access)Very comfortable and experienced with designing object oriented software and services deployed in a client server or (preferably) cloud setting.5 + years of solid experience building and operating data lakes at scale.3 + years of hands-on experience with ML training and inference pipelines.3 + years of proficiency in Python (data pipelines, ML tooling).5 + years of experience with Java-based backend services.2+ years of experience with Angular/Vue for frontend applications.Experience building data/ML apps using Streamlit.Data modeling and partitioning strategiesExperience with Feature engineering workflowsExperience with Model lifecycle managementExperience supporting data science and research teams.