Senior Machine Learning Engineer

Ascentt is building cutting-edge data analytics & AI / ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

About the Role :

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud environments. The ideal candidate will be a self-starter with strong problem-solving skills and hands-on experience in building and deploying ML models using big data technologies like PySpark and cloud platforms like Amazon SageMaker .

Key Responsibilities :

• Design, develop, and deploy scalable machine learning models for real-world business problems using structured and unstructured data.
• Analyze large datasets using PySpark and other distributed computing frameworks to extract insights and prepare features for ML pipelines.
• Apply a wide range of statistical, machine learning, and deep learning techniques , including but not limited to regression, classification, clustering, time-series forecasting, and NLP.
• Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment.
• Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment.
• Collaborate closely with data engineers, data scientists, and product teams to integrate models with business workflows.
• Monitor and improve model performance, scalability, and reliability in production.
• Contribute to setting up and maintaining the ML environment and tooling (including environment configuration, CI / CD pipelines for ML, model versioning, etc.).

Required Qualifications :

Preferred Qualifications :

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