AI/ML Engineer - Python Frameworks
First seen by Alion on Nov 14, 2026.
About the Role:
We are looking for an experienced AI/ML Engineer with strong expertise in Python development, machine learning engineering, backend development, and cloud-based application deployment. The ideal candidate will have hands-on experience developing and deploying scalable AI/ML solutions, building microservices, and integrating machine learning models into enterprise applications.
Key Responsibilities:
- Design, develop, test, and deploy scalable Artificial Intelligence and Machine Learning solutions into production environments.
- Architect and implement end-to-end machine learning pipelines to automate data processing, model training, and deployment workflows.
- Develop and maintain high-performance backend microservices to serve AI/ML models.
- Build scalable APIs and integrate machine learning models into existing enterprise applications.
- Develop backend services using Python frameworks such as Django and FastAPI.
- Collaborate with engineering teams to integrate AI/ML capabilities into enterprise software ecosystems.
- Optimize CI/CD pipelines to streamline application and ML model deployment.
- Monitor model performance in production environments and identify opportunities for optimization and improvement.
- Implement model monitoring and retraining strategies to maintain model accuracy and reliability.
- Work with cloud platforms and containerized applications to support scalable deployments.
- Troubleshoot application, integration, and production issues.
- Follow software engineering best practices to ensure code quality, scalability, and maintainability.
Required Skills & Qualifications:
- 5 - 12 years of experience in Python development, AI/ML engineering, or related software engineering roles.
- Strong proficiency in Python programming.
- Hands-on experience with Django and FastAPI.
- Experience developing and maintaining REST APIs and microservices.
- Strong understanding of Machine Learning concepts and model deployment.
- Experience building and managing end-to-end ML pipelines.
- Knowledge of data structures, algorithms, and problem-solving techniques.
- Strong SQL skills, including writing and optimizing complex queries.
- Experience with cloud platforms such as AWS, GCP, or Microsoft Azure.
- Hands-on experience with Docker and containerized applications.
- Familiarity with CI/CD pipelines and automation practices.
- Understanding of distributed systems, scalability, and high-availability application design.
Good to Have:
- Experience with Generative AI and Large Language Models (LLMs).
- Knowledge of LangChain, RAG, prompt engineering, and vector databases.
- Familiarity with PyTorch, TensorFlow, or Scikit-learn.
- Experience with Kubernetes and cloud-native deployments.
- Knowledge of Kafka and event-driven architectures.
- Exposure to model monitoring, model drift detection, and MLOps practices.
- Experience with Git and Agile/Scrum methodologies.
Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related discipline.
Preferred Candidate Profile:
- Strong software engineering and analytical skills.
- Ability to develop production-ready AI/ML applications.
- Experience collaborating with cross-functional engineering and product teams.
- Strong communication, debugging, and problem-solving abilities.
- Availability: Immediate joiners or candidates serving notice with a last working day by the end of the month are preferred.
Skills
Machine Learning, Python, Django, FastAPI, RESTful API, Microservices Architecture, SQL, Artificial Intelligence