Search the 21 jobs at HiLabs

As a Sr Data Scientist, you will utilize AI/ML techniques to tackle healthcare problems through the development of algorithms and software tools. You'll collaborate with stakeholders to enhance data products, optimize machine learning solutions, and perform quantitative data analysis, while supervising a team of data scientists and clinicians.

The Data Analyst will design, develop, and maintain ETL/ELT pipelines, optimize databases, collaborate with teams to ensure data integration, and automate processes for performance. A focus on data validation, documentation, and helping cross-functional teams with their data needs is vital.

The Test Automation Architect will design and implement test automation strategies, develop frameworks, guide teams, conduct audits, mentor engineers, and collaborate with cross-functional teams to ensure quality in AI-driven solutions at HiLabs.

The Sr. DevOps Engineer will manage cloud infrastructure, implement CI/CD pipelines, enhance cloud security, and collaborate with cross-functional teams to ensure efficient deployment processes. The role requires expertise in AWS, Kubernetes, Docker, and Infrastructure as Code methodologies to maintain and optimize systems in a healthcare SaaS environment.

The Senior QA Engineer will lead QA efforts focused on ensuring data quality across multiple systems. Responsibilities include defining testing strategies, performing manual testing, developing automation scripts, mentoring junior team members, and collaborating with cross-functional teams to validate data integrity and performance.

The Data Engineer will focus on developing Big Data applications, collaborating on the software development process, and ensuring the quality of software through code reviews and testing. Responsibilities include full-stack development, application tier design, and the creation of modular components/APIs, while working in a dynamic, innovative environment.

As a Data Scientist at HiLabs, you will leverage AI/ML techniques to solve complex healthcare issues, develop and optimize algorithms, conduct data analysis, and collaborate with teams to implement robust data solutions.

The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines, optimize databases, collaborate with cross-functional teams, and ensure data quality through validation processes. The role requires developing automated data workflows and providing solutions to meet operational data needs.

The Software Test Engineer will conduct manual testing of web applications, manage quality control tasks, perform data entry for validation purposes, and maintain testing documentation. They will collaborate with cross-functional teams to ensure high product quality and timely completion of projects.

As a Scrum Master at HiLabs, you will lead a global scrum team, ensuring scrum methodology is followed, facilitating sprint meetings, and promoting continuous improvement. You will help manage team backlogs, enhance collaboration, and improve the broader scrum process while interacting with multiple product teams and stakeholders to achieve delivery goals.

The Senior Software Development Engineer will focus on full-stack application development, designing and developing both front-end and back-end solutions. Responsibilities include creating reusable APIs, managing the software development lifecycle, performing code reviews, and ensuring high-quality software through best practices, with a collaborative approach to development.

The Senior SDET will automate data, API, and UI testing processes, initially starting with manual testing. Responsibilities include collaborating with cross-functional teams, developing and executing test scripts, automating data pipelines and API testing, while maintaining the automation framework and implementing CI/CD practices.

The Lead/Senior Software Development Engineer in Test (SDET) will drive quality assurance for AI and ML-based software solutions. Responsibilities include designing and maintaining automated testing frameworks, performing data validation, collaborating with engineers for comprehensive test coverage, and ensuring the quality of APIs and data pipelines in a healthcare setting.

The Senior Software Engineer will design solutions based on customer requirements, lead technical architecture and development, collaborate with product managers and engineers, and ensure cohesive implementation across teams. They will also serve as a subject matter expert and oversee project life cycles from kickoff to delivery.

As a Senior/Lead Software Engineer at HiLabs, you'll work closely with stakeholders to develop and implement scalable machine learning algorithms for healthcare solutions. Responsibilities include deploying AI/ML techniques, optimizing solutions, conducting data analysis, and leading a team to strategize healthcare AI applications.

The Lead/Senior Data Scientist at HiLabs will apply AI/ML techniques to solve complex healthcare problems, lead a team in developing robust ETL data pipelines, and manage deployment processes while adhering to best development practices. Responsibilities also include code reviews, testing, and collaborating with various teams to enhance project outcomes.

This role involves full-stack application development, creating modular components and APIs, managing the development process from conception to deployment, collaborating with the team, and ensuring high-quality software through code reviews and testing.

The Senior Data Scientist will leverage AI/ML techniques to tackle complex healthcare problems, develop data pipelines, lead a team, and enhance the quality of solutions. Responsibilities include full-stack development, managing ETL processes, and collaborating on data software development.

The Senior Product Manager at HiLabs will drive customer success by managing product delivery and interactions with stakeholders. This role involves collaborating with customers to enhance product value, identifying high-value features, and working cross-functionally with internal teams.

The Data Engineer will design, develop, and maintain ETL/ELT pipelines for large datasets, optimize databases, collaborate with teams for data integration, automate tasks, and document processes, focusing on enhancing data accuracy and efficiency in a fast-paced environment.