Sr Machine Learning Engineer
4 days ago
ABOUT THE ROLE
Role Description:
We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
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.
Stay updated with the latest trends and advancements
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, Hadoop), 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
Education and Professional Certifications
- Masters / Degree degree with 8 -12 years of experience in Computer Science, IT or related field
Soft Skills:
Excellent analytical and troubleshooting 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.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.
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