Company Description 9Sprints is an integrated technology services firm that delivers custom software engineering, program governance, practical AI automation, and IT talent solutions to help organizations scale. The company focuses on building robust, scalable digital products, recovering delayed or challenged initiatives, and assembling specialized technical teams. By combining engineering expertise with strong delivery practices, 9Sprints helps clients accelerate product launches and achieve measurable business outcomes.

Team members collaborate across disciplines to solve complex problems and contribute directly to impactful digital and AI solutions.

Role Description This is a full-time Machine Learning Engineer role based in Hyderabad, structured as a hybrid position with both on-site and work-from-home flexibility.

The Machine Learning

Engineer will design, build, and deploy machine learning models for real-world business use cases, including data preprocessing, feature engineering, training, and evaluation. Daily responsibilities include collaborating with product and engineering teams to understand requirements, selecting appropriate algorithms, implementing and optimizing models, and integrating them into production systems. The role also involves conducting experiments, analyzing performance metrics, tuning models, and documenting solutions to ensure reliability and maintainability.



The engineer will stay current with advances in machine learning and AI to recommend improvements and contribute to the firm’s practical automation offerings.

Qualifications

- Robust foundation in Computer Science concepts, including data structures, Algorithms, and software engineering practices.
- Knowledge of Statistics and Pattern Recognition to design, evaluate, and interpret machine learning models and results.
- Experience working with Neural Networks and other machine learning techniques for classification, regression, and prediction tasks.
- Proficiency in one or more programming languages commonly used in ML (such as Python), plus experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Ability to work with structured and unstructured data, including data cleaning, transformation, and feature engineering.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Strong problem-solving skills, attention to detail, and ability to work effectively in a hybrid environment with cross-functional teams.
- Experience deploying models to production (APIs, microservices, or cloud platforms) and familiarity with MLOps practices is an advantage.

Share your resumes to [email protected]

📌 Machine Learning Engineer (Hyderabad)
🏢 9Sprints
📍 Hyderabad