Top Tech Jobs & Startup Jobs in Pune

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

As a Business Technology Solutions Associate Consultant at ZS, you will lead data governance projects, manage data catalogs, and collaborate with clients to implement technology solutions for data management.

Support staffing operations by documenting staffing commitments, coordinating between recruiting/staffing/HR, tracking skills and development goals, capturing demand, producing standard and ad-hoc reports, monitoring hours, auditing scheduling systems for data integrity, and providing tools training.

Lead project teams to define scope, execute analyses, test hypotheses, synthesize findings, and present recommendations to clients. Drive thought leadership, business development, and mentor junior staff while managing project tasks and client relationships.

Develop advanced statistical models and leverage data analytics to guide decision-making. Communicate results effectively and mentor Associates. Experience in Pharma and real-world data analysis is preferred.

Perform IT compliance audits, document and monitor controls, create remediation plans, support client-directed audits (SOX, SSAE/SAS, PCI), develop IT policies and training, assist legal on technology compliance, participate in DR planning/testing, and support vendor assessments and security projects.

The Finance Associate will manage client invoicing, billing compliance, and financial reporting, collaborating with project teams, ensuring timely transaction accuracy, and resolving financial issues.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Design and implement secure multicloud (especially Azure) architectures, define security standards, lead threat modeling and risk assessments, automate cloud security (IaC/CI-CD), integrate AI/ML for detection and automation, mentor engineers, and partner with cross-functional teams to ensure secure AI model lifecycle and cloud operations.