Lead Engineer - Machine Learning
First seen by Alion on Oct 28, 2026.
Job :
Lead Engineer
Responsibilities :
- Lead the design, development, and productionization of machine learning and AI-driven products.
- Own ML initiatives from conceptualization through deployment and continuous improvement.
- Develop scalable, reusable, and maintainable ML service components with quality-first principles.
- Build and deploy ML, Deep Learning, Generative AI, and Agentic AI solutions.
- Design and expose ML services using FastAPI and RESTful APIs.
- Collaborate with business stakeholders to translate requirements into technical solutions.
- Ensure robustness, scalability, performance, and maintainability of ML applications.
- Lead and mentor team members, fostering technical growth and best practices.
- Work in an Agile, DevOps-driven environment with distributed teams.
- Quickly learn and adopt new technologies as required to deliver results.
Key Skills Required:
Machine Learning & AI:
- 3 - 5 years of experience in Machine Learning and data modeling.
- Strong experience in Machine Learning, Deep Learning, and Large Language Models (LLMs).
- Hands-on expertise with TensorFlow, PyTorch, and ML libraries.
- Proficiency in Generative AI and Agentic AI, including automation use cases.
- Experience with agentic AI platforms such as Glean and Agent Bricks.
- Experience in developing and productionizing ML applications.
- Mentor developers and write clean, well-documented, and testable code.
Data engineering & Analytics:
- 7+ years of experience in statistics and analytics on large-scale datasets.
- Strong SQL and data analysis skills, including SQL DW concepts.
- Experience with Spark ecosystem: PySpark, Databricks, Synapse Notebooks (1+ year hands-on).
- Proficiency in Azure Data Services: Azure Synapse, Azure Data Factory, Azure Data Lake, Azure security model.
- Experience building pipelines for full and incremental data loads from Azure and on-prem sources.
- Strong knowledge of data management, processing, cleaning, transformation, aggregation, and modeling.
- Working knowledge of Power BI reports and dashboards (AAS / PBI).
Systems, Cloud & DevOps :
- Strong programming skills in Python (Java is a plus).
- Experience with FastAPI, RESTful services, and microservices architecture.
- Proficiency with databases such as MySQL, PostgreSQL, and MongoDB.
- Experience deploying applications using Docker and Kubernetes.
- Experience with streaming and messaging systems: Kafka, Kinesis, RabbitMQ.
- Familiarity with Azure Git and DevOps practices.
Leadership & Soft Skills :
- Proven experience leading projects end-to-end.
- Strong mentoring and team leadership experience.
- Excellent written and verbal communication skills.
- Ability to work effectively in distributed teams.
- Strong understanding of data structures and design patterns.
- Exposure to the retail industry is a plus.
Education :
- Bachelor's degree in computer science or a related field (required).
- Master's degree is a plus.
Skills
Machine Learning, Data Engineering, Python, Deep Learning, Generative AI, PySpark, Tensorflow, PyTorch, FastAPI, Agentic AI, Azure Data Factory