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Partner with clients to define data science strategies, conduct analyses, create roadmaps and business cases, communicate methods to non-technical audiences, collaborate on end-to-end solutions, and identify/deploy ML and GenAI solutions.

The DevOps Engineer will lead multiple client projects, design and support applications, and mentor other engineers, utilizing modern development practices and technologies.

Work with clients to elicit, document, and validate business and technical requirements; decompose requirements into user stories; facilitate Agile ceremonies; support product discovery, prototyping, and data-driven analysis; manage risks and ensure timely delivery across cross-functional teams.

Design and lead cloud-native data architectures and end-to-end ELT/ETL pipelines across major cloud platforms. Build and optimize data lakes/warehouses, enforce data security and governance, implement IaC and CI/CD, conduct data profiling, and advise clients on AI/ML integration while mentoring delivery teams.

Lead end-to-end technical delivery for custom software, data, analytics, and digital transformation programs. Drive product ideation, scoping, solution design, estimation, and cloud-based architecture. Manage teams, budgets, risks, client relationships, and performance metrics while leveraging automation and Agile practices to deliver business value.

The role involves managing client engagements, driving sales and project delivery, mentoring team members, and advising on emerging technologies.

The Principal Consultant drives client engagement, identifies business challenges, crafts solutions, mentors consultants, and oversees project delivery and execution.

Lead cross-functional development teams and partner with senior stakeholders to define and deliver end-to-end software solutions. Own architecture and full SDLC, design and support mission-critical systems, set architecture standards and best practices, mentor engineers, and integrate cloud, containerization, CI/CD, database, and AI/ML technologies into scalable applications.

As a Business Analyst at Inspire11, you will collaborate with clients to define their business needs, document requirements for digital solutions, and ensure project execution aligns with business goals.

Design and deploy scalable ML infrastructure, implement CI/CD for models, monitor production models, build generative AI solutions, ensure security/compliance, preprocess/analyze data, develop and fine-tune models (TensorFlow/PyTorch), and communicate results to stakeholders. Onsite presence may be required.