Machine Learning Engineer
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Key skills for this role
Role Overview
The Machine Learning Engineer will build production-grade machine learning and Generative AI solutions that automate and scale predictive and generative models.
The role supports cross-functional teams in delivering measurable, insight-driven customer outcomes.
Key Skills for This Role
Full Job Posting
About J2TT
Jet2 Travel Technologies operates an innovation center in Pune that develops products and services for Jet2.com and Jet2holidays.
The technology center works with UK colleagues in a fast-paced, Agile environment using modern software engineering practices.
Work model
- Jet2TT describes a permanent transition to virtual work for most of its team.
- Teams collaborate in person at a regular cadence and with purpose, and onsite opportunities may be available depending on the role.
Role overview
The Machine Learning Engineer will build production-grade machine learning and Generative AI solutions that automate and scale predictive and generative models.
The role supports cross-functional teams in delivering measurable, insight-driven customer outcomes.
What the role involves
- Build, deploy, and optimize ML and Generative AI solutions on AWS.
- Develop ML, Generative AI, and data pipelines using MLOps, CI/CD, Terraform, and AWS cloud-native services.
- Build LLM-powered applications using RAG, prompt engineering, vector databases, MCP, and agentic AI workflows.
- Monitor, troubleshoot, and automate production AI workloads with alerting and self-healing automation.
- Collaborate with data science, data engineering, product, platform, and regional teams.
- Improve AWS platform scalability, performance, reliability, security, and cost efficiency.
- Apply software engineering practices including Git, testing, code reviews, documentation, and reusable patterns.
- Work with SageMaker, ECS or EKS, Lambda, Step Functions, Bedrock, S3, Glue, CloudWatch, and ElastiCache.
- Continuously evaluate AI Engineering, MLOps, LLMOps, and AIOps technologies.
Candidate requirements
- A bachelor's or master's degree in a relevant technical discipline or equivalent relevant experience is required.
- Three to five years of experience in machine learning engineering, MLOps, or cloud engineering is required.
- Strong Python and SQL skills are required, along with production software development using Git, testing frameworks, APIs, and engineering practices.
- Hands-on AWS experience and Infrastructure as Code experience with Terraform or an equivalent are required.
- Experience with MLOps, CI/CD, Docker, Kubernetes, automated deployment, production monitoring, incident troubleshooting, and reliability improvement is required.
- Working knowledge of Agile methodologies is a plus.
- AWS or Agentic AI certifications and additional Agentic AI projects are a plus.
Why join J2TT
- Benefits include permanent work from home, training and certification, rewards and recognition, health insurance, and collaboration with UK colleagues.
- The role offers learning opportunities through new product, AI/ML, and Generative AI initiatives.
Interview preparation
- The interview evaluates technical skills, smartness, and cultural fit, including project knowledge, current AI trends, collaboration, adaptability, and coding ability.
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