About the Opportunity:
Talented and motivated Architect to be a part of the software solution team. Participate in the full software development lifecycle, including design, coding/unit-testing, and implementation. Successful candidates will efficiently promote and leverage suitable & modern technologies, design patterns, and best practices to build high-quality, high-performing, and highly scalable systems.
Role & Responsibilities
Responsible for providing end to end technical solutions using emerging technologies such as Cloud and AI/ML
Designing, coding, implementation, optimization, and integration of application components
Designing and developing a quick prototype to assess/ make technology decisions and present it to business stakeholders.
Research cutting edge distribute learning algorithms, integrate with the end-to-end ML pipeline, and prove the concepts with POCs
Research, design and integrate the end-end ML pipeline.
Build data-driven insights and high impact data, models
Translate business requirements into data science hypotheses and translate them to build the production-ready AI/ML pipeline.
Ensure maximum test coverage for all code developed
Work with onshore-offshore development teams.
Ensure software deliverables are aligned with the defined architecture, established standards, and quality practices
Troubleshooting and maintenance of developed applications
Articulate business and technical solutions to audiences of different levels
Experience in modern DevOps practices (including Git, CI/CD, Azure DevOps/VSTS)
Work collaboratively with team members, business analysts, product owners, QA Team, and Project Management Team.
Participate in architecture, design & code reviews
Contribute to the development of Proposals
Proficiency in writing technical documents
Experience in writing the white papers
Qualifications:
Experience building and optimizing data pipelines, architectures, and data sets.
Experience in web services and REST API
Expertise in data modeling and data processing including feature engineering, data transformation, normalization, cleansing, and encoding.
Expertise in working with Structured and Unstructured datasets.
Advanced skills in a programming language such as R/Python data engineering skills
Expertise in platforms such as Azure/AWS cloud services and hands-on experience with various services such as Data Lake, Data Warehouse, RDBMS, and No-SQL Database
Location
Pune
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