Senior Machine Learning Engineer

Qualifications

Bachelors or masters degree in computer science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.

5+ years of experience in machine learning, data science, or related roles, with a strong track record of deploying machine learning models in production environments.

Proficiency in programming languages such as Python, R, or Java, with a focus on machine learning libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).

Extensive experience with SQL and related data technologies (e.g., PostgreSQL, MySQL, SQL Server, Oracle).

Strong knowledge of data modelling, data warehousing, and ETL processes.

Strong understanding of statistical analysis, data mining, and predictive modelling techniques.

Excellent problem-solving skills and the ability to think critically and creatively.

Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

Experience with version control systems (e.g., Git) and agile development methodologies.

Preferred Qualifications

Experience using Kubernetes or similar orchestration systems

In depth understanding of Data warehouse  Snowflake and No Relational Database - MongoDB

Experience with various messaging systems, such as Kafka.

Experience with distributed computing frameworks (e.g. Hadoop, Spark, Ray)

Knowledge of software development best practices, including CI/CD pipelines and containerization (e.g., Docker, Kubernetes).,