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hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION You will help shape how analytics and generative AI are delivered at enterprise scale - turning…
Build and deploy music-AI models that turn audio into sheet music, MIDI, and piano rolls for musicians, using Python, PyTorch/JAX and large-scale ML systems.
Senior engineer building AI data-enrichment features in Java/Python/React on AWS/K8s, mentoring junior engineers and shipping high-quality code across time zones.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Designs, builds, and deploys AI/ML models and data pipelines to boost workforce productivity using Python and cloud tools.
Lead CI/CD and AI agent workflows for a Dubai-based agency, owning GitLab pipelines, Helm charts, and Python-centric DevOps tooling while collaborating with AI and cloud infra teams.
Senior engineer building and maintaining the BI semantic layer, ensuring data quality, and enabling AI projects with dbt and analytics best practices.
Builds AI/ML platforms, prototypes, and data pipelines for a product-focused team in an international setting.
Lead the design and delivery of enterprise Agentic and Generative AI systems using LLMs, RAG, multi-agent frameworks, and cloud-native platforms.
Leads GenAI architecture for AIG, designing cloud and AI solutions that align with enterprise standards and drive business transformation.
Analyzes and drives GenAI product development to innovate AI applications in insurance risk management and customer service, collaborating with cross-functional teams to explore transformative AI solutions.
Design and implement cloud infrastructure, CI/CD pipelines, and GenAI solutions using Azure, AWS, Python, and Kubernetes.
About the team We're building the AI-native compliance platform for community banks and financial institutions. Regulatory pressure is intensifying. Financial crime is becoming more sophisticated. Compliance teams are…
Build and deploy enterprise-scale data pipelines and AI workflows on Google Cloud, focusing on Text-to-SQL, LLM evaluations, and synthetic data generation for large customers.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Designs and builds data pipelines and integrations to feed GenAI workflows, using REST APIs, SFTP, batch processing, and orchestration tools.
Designs and implements enterprise data integrations and prepares data pipelines for GenAI initiatives, ensuring reliable data flow and quality across systems.
Deploys and scales AI applications for enterprise clients, integrating models from low-level GPU stacks to front-end interfaces using DevOps practices and cloud infrastructure.
Build and deploy AI solutions, collaborate with clients, and optimize ML infrastructure using Python and DevOps practices.
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