
Sr Machine Learning Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- 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
- 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
- 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
- Master's degree / Bachelor's degree and 8 to 13 years.
- Cloud Computing certificate preferred
- Machine Learning and Data Science related certification
- 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
- Strong presentation and public speaking skills.