Company Description KVF TECH designs and builds secure, compliant cloud infrastructures and end-to-end SaaS solutions on AWS, Azure, and GCP. The company helps organizations in sectors such as healthcare and logistics launch and scale cloud-native applications. By combining cloud computing and AI, KVF TECH focuses on driving business growth, improving performance, and optimizing operations.

Team members work with modern technologies and complex environments, contributing to solutions that support mission-critical workloads.

Role Description The Machine Learning Engineer Lead will oversee the design, development, and deployment of ML models and pipelines for cloud-native applications. This contract, remote role involves leading technical discovery, translating business requirements into ML solutions, and collaborating with data engineers, software engineers, and product stakeholders. Daily responsibilities include selecting appropriate algorithms, training and validating models, implementing scalable ML services, and optimizing performance and reliability in production environments.

The lead will also review code, establish best practices, document architectures,



and mentor team members in machine learning and cloud integration.

Qualifications

- Strong foundation in Computer Science and Algorithms, with experience designing productive, scalable solutions.
- Proficiency in Pattern Recognition and Neural Networks for building and refining predictive and generative models.
- Solid understanding of Statistics to design experiments, evaluate models, and interpret results reliably.
- Hands-on experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and Python or similar languages.
- Experience deploying ML workloads on cloud platforms such as AWS, Azure, or GCP, including use of managed ML services.
- Background leading ML or data science projects, including mentoring engineers and coordinating cross-functional collaboration.
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
- Strong communication skills and ability to work effectively in a remote, distributed team environment.

📌 Machine Learning Engineer Lead (India)
🏢 KVF TECH
📍 India