AI Solutions Engineer

Overview

Develop and deploy machine learning models and integrated software solutions that support business or research problems. The role focuses on model performance, production integration, and ongoing monitoring.

What you'll do

• Develop software supporting machine learning model development, deployment, and lifecycle management.
• Train and validate models using suitable metrics and techniques.
• Optimize hyperparameters to improve model performance and generalization.
• Deploy scalable and reliable machine learning models to production.
• Monitor deployed models and update them for changing data or requirements.
• Design and maintain machine learning pipelines that produce scalable models.
• Coordinate with CI/CD, research, and engineering teams on model deployment and training automation.

What you'll need

• Typically 4–7 years of relevant work experience, or 3–5 years with an advanced degree.
• A four-year or graduate degree in computer science, statistics, mathematics, data science, or a related discipline, or equivalent demonstrated competence.
• Experience with machine learning, algorithms, and statistical modeling techniques.
• Programming skills in Python, Java, or C++.
• Knowledge of deep learning and natural language processing.
• Experience with tools such as PyTorch, scikit-learn, TensorFlow, Apache Spark, AWS, or Microsoft Azure.
• Ability to respond to moderately complex issues and support team decision-making.

Nice to have

• AWS Certified Machine Learning Specialty certification.

Details

• Location: Bengaluru, Karnataka, India.
• Employment type: Full time.