| ML Engineer -- Remote -- NO GC at Remote, Remote, USA |
| Email: [email protected] |
| From: Raghu Prasad, Blue ocean venture [email protected] Reply to: [email protected] Hi, Role: ML Engineer Remote Job Description: This role requires a hands-on engineer who excels in building, deploying, and maintaining scalable ML solutions within a product environment. The successful candidate will work on productionizing ML models, managing data pipelines, implementing CI/CD workflows, and conducting A/B testing to ensure the highest quality and performance of AI-driven products. You will work closely with cross-functional teams, including AI leads, ML scientists, MLOps engineers, and product owners, to develop cutting-edge solutions that impact millions of lives worldwide. The Senior ML Engineer will directly report to the Head of AI. 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. Qualifications: BSc. or MSc. degree in Computer Science, Engineering, Data Science, or a related field. 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. Keywords: continuous integration continuous deployment artificial intelligence machine learning ML Engineer -- Remote -- NO GC [email protected] |
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| Mon Nov 11 20:58:00 UTC 2024 |