ML Engineer

We are seeking a talented Data Scientist / Machine Learning Engineer with 3–6 years of hands-on experience to join our growing Data & AI Engineering team. The right candidate is someone who has strong expertise in building scalable machine learning models and data pipelines, and is passionate about leveraging data to solve complex business problems.

This role is suited for someone who enjoys working with large datasets, modern ML frameworks, and cloud-based data platforms to build intelligent solutions that drive real business impact.

Roles & Responsibilities

• Design, develop, and deploy machine learning models for tasks such as classification, prediction, scoring, and recommendation systems.

• Build and optimize scalable data pipelines and data processing workflows to support machine learning and analytics initiatives.

• Work with large-scale datasets using frameworks such as Spark, Hadoop, Kafka, or Kinesis to process structured and unstructured data efficiently.

• Develop and implement deep learning models, including CNNs and NLP-based architectures, for advanced analytics and AI-driven applications.

• Leverage AWS services such as EC2, EMR, Redshift, RDS, and AWS AI/ML services to build and deploy scalable machine learning solutions.

• Develop efficient data models and optimize query performance across SQL and NoSQL databases.

• Work closely with cross-functional teams and external stakeholders to understand requirements, translate business problems into data-driven solutions, and deliver impactful outcomes.

• Continuously evaluate model performance and improve solutions through experimentation, feature engineering, and model tuning.