Top Tech Jobs & Startup Jobs

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

Design and implement data solutions on Azure, optimize data processing frameworks, enforce governance policies, and enable BI reporting while collaborating with teams.

Facilitate and execute Scrum ceremonies, coach teams and Product Owner, foster self-organizing teams, resolve conflicts, mobilize delivery towards goals, and support analytics solution delivery.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Lead end-to-end delivery of technical projects using Agile and governance practices. Define scope, create project plans, track progress, manage risks, facilitate Agile ceremonies, and coordinate with architects, cloud, DevOps, security, and business stakeholders to ensure timely implementation.

Design, build, and maintain scalable data pipelines on GCP; migrate data from Teradata to BigQuery; write optimized SQL and Python ETL/ELT; implement monitoring, testing, validation, and reconciliation; document processes and collaborate with analysts, architects, and stakeholders.

Work on the AWS DevOps platform, defining role responsibilities, mandatory technical and non-technical skills, and educational/certification requirements. Collaborate with hiring/staffing teams and support rapid growth in a customer-focused environment.

Lead delivery and growth for Fortune 50 hi-tech accounts, driving multi‑million AI and GenAI programs. Manage global cross‑functional teams, executive relationships, account economics, proposals, and expand long‑term partnerships while ensuring delivery quality and client satisfaction.

Lead new business development and solution sales within TMT accounts for analytics and AI services. Build multi-threaded client relationships, position Fractal offerings, drive pre-sales and consultative campaigns, and manage account growth and margins across global teams.

Design and build end-to-end generative AI and LLM solutions, research GenAI advances, develop and maintain code libraries, participate in SDLC and code reviews, collaborate cross-functionally, and support NLP, CV, and multimodal model development and deployment.