Reveal Health Tech

Reveal Health Tech is an early-stage IT startup based in the US and India, dedicated to harnessing the transformative potential of technology in healthcare. The company seeks passionate individuals to join its mission to innovate and meet client needs through advanced tech solutions.

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đź“Ť India

🧭 Full-Time

🔍 Healthcare, biotechnology

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Strong knowledge of Python, SQL, and additional data processing languages.
  • Experience with ETL tools such as Apache Spark and Airflow.
  • Proficiency in AWS services including EC2, Lambda, RDS, and Glue.
  • Experience with CI/CD tools like GitHub Actions and containerization using Docker.
  • Familiarity with ML/Gen AI services like AWS SageMaker and PyTorch is ideal.
  • Proven ability to work independently in an agile team.

  • Architect and deploy efficient, scalable ETL pipelines for data ingestion, transformation, and loading.
  • Develop and maintain backend architecture focusing on reliable, secure APIs and data integrations.
  • Create and implement infrastructure components and CI/CD pipelines for deployment.
  • Establish automated testing and monitoring solutions for data quality and compliance.
  • Collaborate with cross-functional teams for system integration.
  • Document architectures, processes, and technical decisions.

AWSDockerPythonSQLAgileETLPyTorchAirflowData scienceSparkCI/CDCompliance

Posted 2024-11-07
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đź“Ť India

🔍 Healthcare technology

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fields.
  • Proficiency in basic machine learning concepts and methods, especially related to GenAI and NLP.
  • Strong knowledge of ML/Gen AI services and libraries, including AWS SageMaker, AWS Bedrock, and PyTorch.
  • Experience with opensource LLMs.
  • Strong knowledge of Python, SQL, and additional data processing languages.
  • Experience in AWS for data processing and back-end applications.
  • Experience with ETL tools like Apache Spark, Airflow, and CI/CD tools is a plus.

  • Contribute to solving business problems with cutting-edge AI solutions.
  • Collaborate with cross-functional teams to gather requirements.
  • Focus on practical AI challenges to improve reasoning and evaluation.
  • Research advancements in generative AI technologies.
  • Document architectures, processes, and technical decisions.
  • Scale user-interactive RAG solutions for quick operation on large datasets.
  • Design AI tools callable via API or for batch transformations.
  • Implement end-to-end solutions for algorithms, including tooling for monitoring, logging, automated testing, and performance testing.

AWSPythonSQLETLMachine LearningPyTorchAirflowAlgorithmsData scienceSparkCI/CD

Posted 2024-11-07
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đź“Ť India

🧭 Full-Time

🔍 Healthcare technology

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proficiency in data modeling and using AWS services.
  • Proven experience as a Data Engineer or similar role.
  • Strong knowledge of AWS services related to data engineering.
  • Experience designing and building data pipelines.
  • Understanding of data lake and warehousing best practices.
  • Proficiency in programming languages for data manipulation (e.g., Python, SQL).
  • Experience with relational databases like PostgreSQL.
  • Understanding of database systems and performance optimization.
  • Experience implementing data quality checks.
  • Familiarity with Cloudformation and CI/CD for deployment.
  • Experience with data quality validation tools.
  • Ability to work independently and collaboratively.

  • Designing and implementing scalable, robust, and maintainable data pipelines using AWS services.
  • Implementing data quality checks and validation processes.
  • Designing data models and architectures for data processing workflows.
  • Utilizing validation tools to automate processes.
  • Collaborating with cross-functional teams to meet data requirements.
  • Monitoring and optimizing data pipeline performance.
  • Debugging and resolving data-related issues.
  • Documenting data pipeline architectures and processes.
  • Staying updated with new technologies in data engineering.

AWSPostgreSQLPythonSQLDynamoDBMachine LearningData engineeringServerlessCI/CD

Posted 2024-10-13
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đź“Ť United States

🔍 Digital health technology

  • Bachelor's degree in Computer Science or related field.
  • Minimum of 5 years of professional experience as a Full-Stack Engineer, with a focus on AI.
  • Strong proficiency in Python and JavaScript.
  • Experience with front-end technologies such as React or Angular.
  • Experience with back-end frameworks such as Django or Node.js.
  • Solid understanding of machine learning concepts and algorithms.
  • Experience with AI frameworks and libraries such as TensorFlow or PyTorch.
  • Experience with LLMs, Prompt engineering, Langchain.
  • Experience with cloud platforms such as AWS or Azure.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

  • Lead the technical development of AI-driven products and applications in the digital health space.
  • Collaborate with clients and cross-functional teams to understand requirements, define project roadmaps, and deliver high-quality solutions.
  • Architect and design resilient and scalable AI systems.
  • Integrate AI and machine learning models into front-end and back-end systems.
  • Ensure application performance, security, and reliability.
  • Stay updated with the latest AI technologies and industry trends.

AWSLeadershipNode.jsPythonDjangoJavascriptMachine LearningPyTorchJavaScriptAlgorithmsAzureAngularReactTensorflowAnalytical SkillsCollaboration

Posted 2024-10-09
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đź“Ť California, United States

🔍 Healthcare technology

  • 4+ years of professional experience in back-end development.
  • Proficiency in programming languages such as Python or Java.
  • Experience with back-end frameworks such as Django or Spring.
  • Strong understanding of Object-Oriented Programming (OOP) principles.
  • Knowledge of relational and non-relational databases.
  • Familiarity with version control systems and agile development methodologies.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and building scalable applications.
  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • Develop and maintain the back-end architecture for software applications.
  • Collaborate with cross-functional teams to gather requirements and ensure seamless integration with front-end systems.
  • Optimize applications for maximum speed and scalability.
  • Conduct unit tests and debugging to ensure software reliability and stability.
  • Perform code reviews and provide constructive feedback to team members.
  • Maintain code integrity and organization through version control and documentation.

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Posted 2024-09-23
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