Kapture CX - Machine Learning Application Engineer

Description :

We are seeking a Machine Learning Application Engineer with strong Python backend expertise to design, build, and deploy scalable ML-powered applications.

This role sits at the intersection of machine learning, backend engineering, and production systems, enabling real-world impact through intelligent, data-driven solutions.

Key Responsibilities :

- Design, develop, and deploy ML-powered applications with robust Python backend systems

- Integrate machine learning models into production environments via APIs and microservices

- Build scalable backend services to support model inference, data pipelines, and real-time predictions

- Collaborate with Data Scientists to translate models into production-ready solutions

- Develop and maintain RESTful APIs and backend frameworks (Flask/FastAPI/Django)

- Optimize model performance, latency, and scalability in production systems

- Implement data pipelines and preprocessing workflows for structured and unstructured data

- Work with cloud platforms (AWS/GCP/Azure) for deployment and monitoring of ML services

- Ensure best practices in code quality, testing, and system reliability

- Monitor model performance and implement feedback loops for continuous improvement

Required Skills & Qualifications :

- 4-6 years of experience in backend engineering and ML application development

- Strong proficiency in Python and backend frameworks like FastAPI, Flask, or Django

- Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch

- Experience in building and deploying ML models in production environments

- Solid understanding of REST APIs, microservices architecture, and distributed systems

- Experience with databases (SQL/NoSQL such as PostgreSQL, MongoDB)

- Familiarity with Docker, Kubernetes, and CI/CD pipelines

- Experience with cloud platforms (AWS/GCP/Azure) and MLOps practices

- Strong problem-solving and debugging skills

Good to Have :

- Experience with LLMs / Generative AI / NLP applications

- Knowledge of stream processing (Kafka, Spark)

- Exposure to feature stores, model versioning, and monitoring tools

- Experience in building real-time ML systems

Key Competencies :

- Strong analytical and problem-solving mindset

- Ability to work in a cross-functional environment (Product, Data Science, Engineering)

- Excellent communication skills with a focus on translating ML concepts into business value

- Ownership mindset and ability to work in fast-paced environments