Machine Learning Engineer

Are you a Machine Learning Engineer who thrives on designing and deploying scalable ML solutions?

This is your opportunity to join an innovative organization where your expertise will drive data-driven decision-making and business success! You’ll work with cutting-edge technologies, build robust ML pipelines, and collaborate with cross-functional teams to transform data into actionable insights.

What You’ll Be Doing:

• Developing and maintaining data pipelines using Python and tools like Apache Airflow and Kafka.
• Building, training, and deploying machine learning models for production environments.
• Conducting software testing and ensuring the reliability of ML solutions.
• Managing relational and NoSQL databases for efficient data storage and querying.
• Implementing CI/CD pipelines and using Docker/Kubernetes for deployment.
• Utilizing cloud platforms (Azure, AWS, or Google Cloud) for infrastructure management.
• Documenting workflows and best practices for data engineering and ML processes.

Essential Skills:

✅ 5+ years of experience in data engineering and machine learning roles

✅ Strong proficiency in Python

✅ Experience with Pandas, scikit-learn, TensorFlow, Airflow, and Kafka

✅ Cloud platforms (AWS, Azure, or GCP)

✅ Strong understanding of Agile, Scrum, and DevOps methodologies

✅ Experience with CI/CD pipeline management and Docker/Kubernetes

Bonus Skills:

• Knowledge of simulations, optimization algorithms
• Knowledge of real-time data streaming.

Flexible working: Hybrid setup – 2 days in-office, the rest remote!

Work on high-impact ML projects with real-world applications.

Don’t miss this opportunity! Apply now to be at the forefront of AI & ML innovation.