Onebridge

Artificial Intelligence

• Serve as a strategic delivery lead across multiple enterprise client accounts
• Build and maintain strong relationships with client executives
• Lead solutioning efforts including feasibility assessments and proposals
• Provide technical leadership across AI/ML model development
• Manage global delivery teams across onshore and offshore locations
• Collaborate with data scientists, engineers, and domain experts
• Contribute to internal accelerators and best practices
• Stay current with emerging AI technologies

AI/ML Delivery Manager

Platform Engineer

• Develop and maintain backend services using Python and FastAPI, ensuring high performance, scalability, and maintainability.
• Design and implement features powered by Generative AI, integrating models and APIs to enhance platform intelligence.
• Build and manage cloud-native applications using AWS services such as Lambda, S3, and DynamoDB to support robust infrastructure.
• Collaborate with product managers, designers, and engineers to deliver well-architected, user-focused technical solutions.
• Participate in code reviews, testing, and debugging to ensure code quality and adherence to best practices.
• Contribute to infrastructure automation using Terraform, supporting CI/CD pipelines and environment consistency.
• Monitor system health, logs, and performance metrics to ensure platform reliability and proactively address issues.

Solutions Engineer

• Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs
• Advise client executives (CTOs, CDOs) on strategic data initiatives, platform evolution, and enterprise-scale architecture decisions
• Lead pre-sales and business development efforts, assessing current-state environments, comparing technologies, and justifying ROI for tailored solutions
• Ensure governance and alignment of delivered solutions with original scope, serving as the escalation point for delivery teams
• Collaborate across cross-functional teams, such as engineering, BI, platform, integration, and AI, to drive innovation and data democratization
• Mentor and guide data teams, leading discussions and technical delivery without formal people management responsibilities
• Stay current on product evolution, including Lakehouse Monitoring, Lake Designer, Delta Sharing, Mosaic AI, and Matrix.

Technical Solution Architect, Databricks

Data Engineer

• Design and operate cloud-native data pipelines that transform complex operational data from legacy systems into modern, scalable products.
• Build and maintain robust ETL/ELT pipelines that ingest, validate, and transform operational data from legacy systems.
• Design and enforce platform data standards, including schema governance and reusable models.
• Develop serverless workflows using AWS-native services like Step Functions, Lambda, S3, ECS, and Terraform.
• Create automation tools that empower non-engineering teams to execute data migrations reliably.
• Embed observability into pipelines with logging, error handling, rollback paths, and monitoring.
• Collaborate with engineering, product, and client-facing teams to define platform standards and long-term vision.
• Build reusable infrastructure to reduce complexity, improve data quality, and accelerate growth; help shape Platform team focused on schema management, validation frameworks, integrations, and automation.

Data Engineer, AWS

Business Intelligence Developer

• Develop and maintain advanced Power BI dashboards and reports aligned with business goals
• Build and optimize data models using DAX and Power Query for performance and usability
• Design and implement custom visuals using Deneb and Vega/Vega-Lite specifications
• Collaborate with stakeholders across geographies to gather requirements and deliver solutions
• Ensure data accuracy, consistency, and security across all visualizations
• Continuously improve existing reports based on feedback and evolving business needs

Power BI Specialist, Deneb

AI Engineer

• Design and implement cutting-edge AI solutions that drive innovation and efficiency
• Architect and develop AI-powered services, tools, and products ensuring scalability, reliability, and performance
• Lead end-to-end project execution from initial concept and design through development, testing, and deployment
• Build and integrate AI models using Azure OpenAI and other Azure AI Services, applying best practices in model training, fine-tuning, and production deployment
• Implement Retrieval-Augmented Generation (RAG) and work with both open-source and proprietary LLMs
• Collaborate with stakeholders across teams to translate business needs into clear technical specifications
• Maintain high standards of quality, CI/CD, and version control (Git/Azure DevOps)
• Stay current with emerging AI technologies and proactively identify opportunities to enhance existing systems
• Work independently and within global teams, contributing to a collaborative and innovative environment while managing tasks with minimal supervision
• Work onsite two days per week in the specified city

Full-stack Engineer

• Design and develop full stack applications that incorporate GenAI models and services
• Build and maintain APIs and backend services using Python frameworks (FastAPI, Flask, Django) focusing on performance and scalability
• Create intuitive front-end interfaces using modern JavaScript frameworks (React, Vue, Angular)
• Integrate GenAI tools and libraries (Hugging Face, LangChain, OpenAI APIs) for natural language processing and content generation
• Collaborate with cross-functional teams to iterate on prototypes, gather feedback, and refine solutions in agile development cycles
• Support cloud deployment and DevOps practices, including containerization (Docker), CI/CD pipelines, and hosting on AWS, Azure, or GCP

Full Stack Developer, GenAI

• Design and maintain scalable data pipelines leveraging AWS (Glue, EMR, Lambda, Redshift, Athena) and Databricks
• Optimize data workflows to improve performance, reliability, and data quality across diverse data sources
• Drive best practices in data engineering including code quality, automation, and CI/CD processes
• Collaborate with data science, product, and business teams to translate requirements into technical solutions
• Evaluate and integrate big data tools and frameworks (Hadoop, Talend, SparkSQL) to enhance the data ecosystem
• Provide technical guidance, establish engineering standards, and shape a modern, scalable data ecosystem

Data Engineer, AWS/Databricks

Infrastructure Engineer

• Lead the design, deployment, and maintenance of Azure AI infrastructure and ML platforms, ensuring scalability, compliance, and reliability
• Build and manage data pipelines for ingesting, storing, and processing structured and unstructured datasets
• Develop and maintain APIs and system integrations with enterprise platforms
• Implement MLOps best practices, including CI/CD pipelines, model deployment workflows, and monitoring model performance in production
• Collaborate with data scientists, compliance experts, and product owners to operationalize AI solutions and deliver actionable insights
• Support dashboards, reporting, and analytics using BI tools to translate complex data into clear insights for business teams

ML Infrastructure Engineer, Azure AI

Engineer

• Support scientists by ensuring accounts, workflows, and documentation are well-organized and easy to use.
• Keep bioinformatics systems running smoothly through testing, quality checks, and proactive monitoring.
• Partner with researchers to analyze immune repertoire sequencing data, provide insights, and answer project-specific questions.
• Translate scientific needs into technical solutions by developing scripts, dashboards, and automations.
• Act as a connector between scientific teams and technical stakeholders, helping both sides get the most out of the platform.
• Provide high-touch support for priority projects, ensuring scientists feel confident and supported at every step.

Bioinformatics Engineer

Content Writer

• Write and edit patient-friendly content for clinical trial web pages, including trial summaries, study duration, inclusion/exclusion criteria, and other key details, using trial protocols as source material.
• Ensure content meets health literacy standards, is easily translatable for global audiences, and supports accessibility across reading levels and cognitive abilities.
• Collaborate with UX, web development, and design teams to align content with user experience goals and contribute to system migrations (e.g., from Contentful to Adobe Experience Manager).
• Expand and update content across research area pages (e.g., oncology, neuroscience, diabetes) and broader website sections.
• Support executive communication needs by simplifying complex medical and business information into clear, visual, and engaging presentations.
• Support graphic design needs for digital or print assets, especially in collaboration with global or capacity-constrained teams.

Regulatory Content Writer, Pharma

• Design and implement scalable data and solution architectures leveraging Databricks Lakehouse Platform
• Partner with clients to understand business objectives and translate them into actionable Databricks solutions
• Participate in pre-sales calls and client workshops, providing technical insights and recommendations
• Deliver hands-on solution design and Databricks development, ensuring data governance, scalability, and best practices
• Drive project execution, aligning stakeholders and guiding teams toward successful delivery without direct people management
• Collaborate across engineering, analytics, and business teams to promote data democratization and innovation

• Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm partnering with large healthcare, life sciences, financial services, and government organizations.
• Design and implement scalable Azure solutions, including App Services, AKS, Functions, SQL, and Storage.
• Lead development and management of CI/CD pipelines using Azure DevOps or GitHub Actions.
• Apply Infrastructure as Code principles using Terraform or Bicep to provision and maintain cloud resources.
• Architect and integrate Azure AI and machine learning services into business solutions.
• Ensure adherence to security and networking best practices within the Azure environment.
• Collaborate with cross-functional teams to identify opportunities for AI/ML adoption and optimize solution performance.

Senior Azure Solutions Architect

Frontend Engineer

• Lead the design, development, and maintenance of responsive dashboards and front-end applications using React.js or Vue.js, ensuring high performance and scalability.
• Collaborate with stakeholders and product teams to translate complex requirements into user-friendly, visually compelling interfaces.
• Apply UX design principles to optimize workflows, enhance usability, and improve overall user experience.
• Conduct thorough testing, mentor team members on best practices, and ensure applications meet quality and accessibility standards.
• Participate in code reviews, establish front-end development standards, and drive continuous improvement initiatives.
• Stay current with emerging front-end technologies and UX design methodologies, providing thought leadership on innovative UI solutions.

AI/ML Delivery Manager

Platform Engineer

Technical Solution Architect, Databricks

Data Engineer, AWS

Power BI Specialist, Deneb

AI Engineer

Full Stack Developer, GenAI

Data Engineer, AWS/Databricks

ML Infrastructure Engineer, Azure AI

Bioinformatics Engineer

Regulatory Content Writer, Pharma

Technical Solution Architect, Databricks

Senior Azure Solutions Architect

Front-End Engineer, UX Design