Principal Machine Learning Engineer - Hyderabad / Secunderabad, Telangana - Amgen Technology Private Limited

    Amgen Technology Private Limited
    Amgen Technology Private Limited Hyderabad / Secunderabad, Telangana

    2 days ago

    Full time
    Description

    Roles & Responsibilities:

    • Collaborate with data scientists to develop, train, and evaluate machine learning models.
    • Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
    • Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
    • Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
    • Develop and implement monitoring systems to track model performance and identify issues.
    • Conduct A/B testing and experimentation to optimize model performance.
    • Work closely with data scientists, engineers, and product teams to deliver ML solutions.
    • Guide and mentor junior engineers in the team
    • Stay updated with the latest trends and advancements

    What we expect of youWe are all different, yet we all use our unique contributions to serve patients.

    Basic Qualifications:

    • Doctorate degree and 2 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR
    • Master s degree and 8 to 10 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR
    • Bachelor s degree and 10 to 14 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR
    • Diploma and 14 to 18 years of years of Computer Science, Statistics, and Data Science, Machine Learning experience

    Preferred Qualifications:

    Must-Have Skills:

    • Strong foundation in machine learning algorithms and techniques
    • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
    • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
    • Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills

    Good-to-Have Skills:

    • Experience with big data technologies (e.g., Spark), and performance tuning in query and data processing
    • Experience with data engineering and pipeline development
    • Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
    • Knowledge of NLP techniques for text analysis and sentiment analysis
    • Experience in analyzing time-series data for forecasting and trend analysis
    • Familiar with AWS, Azure, or Google Cloud;
    • Familiar with Databricks platform for data analytics and MLOps

    Professional Certifications

    • Cloud Computing and Databricks certificate preferred

    Soft Skills:

    • Excellent analytical and fixing skills.
    • Strong verbal and written communication skills
    • Ability to work effectively with global, virtual teams
    • High degree of initiative and self-motivation.
    • Ability to manage multiple priorities successfully.
    • Team-oriented, with a focus on achieving team goals
    • Strong presentation and public speaking skills.

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Principal machine learning engineer