Machine Learning Engineer
First seen by Alion on Sep 8, 2026.
Key Responsibilities :
- Design the architecture of scalable AI/ML platforms and solutions.
- Translate complex business problems into appropriate ML, Deep Learning, and Gen AI approaches.
- Develop and fine-tune predictive models, algorithms, and AI applications.
- Build efficient data and model pipelines to support large-scale AI workloads.
- Apply statistical techniques for experimentation, model validation, and performance evaluation.
- Develop reusable frameworks and components for AI/ML applications.
- Take models from prototype to production, including integration, deployment, and optimization.
- Improve model performance, scalability, latency, and reliability in production environments.
- Establish model observability and monitoring practices to track performance, data quality, drift, and system health.
- Work closely with Data Engineering, Product, Software Engineering, and Business teams to deliver production-ready AI solutions.
- Evaluate emerging AI/Gen AI technologies and identify opportunities for their practical adoption.
Required Skills :
- 5 - 8 years of experience in AI/ML, Machine Learning Engineering, or a related domain.
- Strong programming expertise in Python.
- Strong proficiency in SQL and data manipulation.
- Solid understanding of Machine Learning and Deep Learning algorithms.
- Hands-on experience with Generative AI technologies and use cases.
- Strong foundation in Statistics, model development, and evaluation techniques.
- Understanding of data engineering principles and large-scale data pipelines.
- Experience with AI/ML model deployment and production environments.
- Knowledge of model observability, monitoring, and performance optimization.
- Strong understanding of system architecture and scalable solution design.
Preferred Candidate Profile :
- Has built and deployed AI/ML solutions in production environments.
- Comfortable working across the complete AI lifecycle - data - experimentation - model - deployment - monitoring.
- Strong ownership of technical architecture and engineering decisions.
- Ability to work in a fast-paced environment and solve ambiguous, complex problems.
Skills
Machine Learning, Artificial Intelligence, Deep Learning, Generative AI, Predictive Modeling, Python, SQL, System Architecture