- Data Science & Data Engineering.
- Python,
- Machine Learning,
- GCP Suite,
- Apache Airflow,
- BigQuery,
- SQL Server,
- GitHub.
Responsibilities:
- Develop and implement robust, scalable, and efficient data pipelines for collecting, processing, and analyzing large volumes of structured and unstructured data using Google cloud technologies such as BigQuery, DataFlow, etc.
- Design, develop, and deploy machine learning models
- Perform data cleaning, feature engineering, and data transformation tasks to prepare data for analysis and modeling.
- Implement and maintain data engineering best practices, ensuring data quality, reliability, and performance.
- Conduct code reviews, provide constructive feedback, and mentor junior team members to enhance their technical skills.
- Stay up to date with the latest advancements in machine learning, data engineering, and related technologies, and evaluate their potential impact on our products and solutions.
- Skills/Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field with 5+ years experience
- Solid experience in developing and deploying machine learning models and data pipelines.
- Strong background in data engineering, including data preprocessing, feature engineering, and ETL pipelines.
- Proficiency in programming Python (also Java experience preferred)
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experienced in Pandas, Numpy, Tensorflow/Keras, and other ML libraries in Python
- Familiarity with Apache Airflow workflow management tool
- Knowledge of Google cloud platform and services such as BigQuery, DataFlow,
- Familiarity with relational and NoSQL databases, SQL, and data warehousing concepts.
Seeking a skilled and highly motivated Machine Learning/Data Engineer to join the data technology group. As a Senior Machine Learning/Data Engineer, you will play a critical role in designing, developing, and deploying scalable and robust machine learning models and data pipelines for large scale datasets. You will be responsible for leading a team of offshore consultants, providing technical guidance, and overseeing their deliverables