Sr. Engineer - Machine Learning

Roles & Responsibilities :

Data/ML Engineer

Key Responsibilities

• secure ETL pipelines

• Apache Airflow

• Kafka/MQTT

• InfluxDB/TimescaleDB

• data encryption, signing, and security best practices

• MLFlow

• Python, SQL, and Pandas

• Collaborate with data scientists and ML engineers to ensure efficient and secure model deployment.

• Monitor and optimize performance of data pipelines and ML infrastructure.

Qualifications

Educational qualification:

Experience : 5-7 Years

Mandatory/requires Skills :

• 5-7 years

• Python, SQL, and Pandas

• Kafka/MQTT

• InfluxDB/TimescaleDB

• Apache Airflow

• secure ETL pipelines, encryption, and data signing practices

• MLFlow integration

• telemetry storage and processing

Good to Have

• Experience with cloud-based data platforms (AWS, GCP, Azure).

• Knowledge of containerization and orchestration tools (Docker, Kubernetes).

• Experience in monitoring tools and performance optimization for large-scale data systems.