Sr Machine Learning Engineer

• 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.