Jobs at Fractal

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.

Consult, design, and operationalize large-scale enterprise data solutions on AWS, modernize data platforms, and mentor engineers. Requires expertise in AWS and data pipeline development.

The Lead Architect will evaluate technology, create best practices, and ensure smooth project deliveries while collaborating with data teams. Requires expertise in GCP and data solutions.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.

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

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

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

Design, build, test, and maintain enterprise iOS applications. Own the mobile development lifecycle, collaborate with product, design and backend teams, manage App Store releases, ensure performance, security and quality, and troubleshoot and optimize applications.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

The Senior Data Scientist will lead AI/ML projects, manage a data science team, implement analytical solutions, and leverage data for business insights.

The Data Modeler is responsible for designing and architecting enterprise data applications, focusing on data modeling, strategy, and warehouse development.

Responsible for architecting and developing full stack enterprise applications, collaborating with multiple teams, and mentoring junior engineers.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

Lead and run enterprise data governance: develop frameworks, policies, metadata and lineage, lead data quality remediation, define stewardship and ownership, ensure regulatory compliance (GDPR/CCPA), set KPIs, train staff, and manage a governance team.

This role involves planning and designing Azure infrastructure, developing cloud solutions, mentoring teams, and ensuring cloud security and compliance.

The Senior Fullstack Engineer will design, develop, and maintain enterprise web applications while collaborating with data teams and managing junior engineers.

The Senior Consultant will leverage SQL and Tableau to create BI solutions, translating business needs into interactive dashboards and reports, ensuring data accuracy, and collaborating with stakeholders.

Design and implement end-to-end generative AI solutions using LLMs and multimodal models. Build libraries, tools, and production integrations; perform research, code reviews, testing, deployment, and cross-functional collaboration. Focus areas include NLP, computer vision/audio, prompt engineering, model fine-tuning, and cloud deployment.