| ML Engineer - Contract - Remote- NO GC at Remote, Remote, USA |
| Email: [email protected] |
| From: Abhilash s h, Blue ocean ventures [email protected] Reply to: [email protected] Role: ML Engineer Location: Remote Role: ML Engineer Location: Remote Job Description Senior Machine Learning Engineer Who we are: - At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners. Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives. Our vision: - To inspire new possibilities for the health ecosystem with technology and human ingenuity. What is in it for you As an Senior Machine Learning Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards . Responsibilities: - Work closely with ML/CV/NLP scientists, and MLOps engineers to engineer, deploy, and optimize machine learning models to scale across production environments, ensuring robustness and reliability. Design and implement efficient data management and data processing pipelines to handle large volumes of structured and unstructured data. Write clean, modular, and maintainable code following best practices in software engineering, with an emphasis on scalability and performance. Build and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate model training, testing, and deployment. Implement and manage A/B testing frameworks to evaluate model performance and ensure alignment with business objectives. Work closely with data scientists, MLOps engineers, product managers, and software engineers to align on requirements and successfully integrate ML solutions into products. Develop monitoring solutions to ensure models are performing optimally in production, addressing issues proactively to maintain service quality. Create and maintain comprehensive documentation for code, workflows, and system architecture to facilitate knowledge sharing and maintainability. Experience: - 10+ Years Location: - San Diego, CA (Remote) Educational Qualifications: - Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Mandatory skills: Minimum of 5 years of hands-on experience in machine learning engineering, with a strong focus on productionizing models and building ML infrastructure. Proficiency in Python, with experience in Java, Scala, or similar programming languages. Experience with ML and DL frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Strong understanding of CI/CD best practices and experience with tools like Jenkins, GitLab CI, or similar. Knowledge of A/B testing frameworks and model validation techniques. Proficiency in building and maintaining data processing pipelines using tools like Apache Spark, Airflow, or Kafka. Familiarity with cloud services (e.g., AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes). Experience building APIs with frameworks such as Streamlit, Flask, or FastAPI for model deployment and interaction. Strong understanding of software engineering principles, including object-oriented programming, version control, and testing frameworks. Experience in developing scalable and maintainable code for real-world applications. Excellent problem-solving abilities and analytical mindset. Strong communication skills, both written and verbal. Ability to work collaboratively in an Agile environment with cross-functional teams. Regards, Abhilash SH https://www.linkedin.com/in/abhilash-s-h-ab07a5231/ Blue Ocean Ventures 5555 Glenridge Connector Suite 200 Atlanta, GA 30342 Email:[email protected] Will To Serve Will To Win Will To Lead Keywords: continuous integration continuous deployment machine learning information technology California Georgia ML Engineer - Contract - Remote- NO GC [email protected] |
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| Fri Nov 15 01:01:00 UTC 2024 |