Overview
Job Description : Responsibilities
- The role is responsible for designing, developing, and productionizing AI / ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and post-launch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
Minimum Qualifications & Experience
- Bachelor’s Degree in Computer Science, Data Science, or related field.
- Overall Experience : 7+ Years
- Industry Experience : Aviation, Transportation, Enterprise Operations or related.
Certification & Regulatory
- Professional certification in Machine Learning (preferred).
Required Technical Skill
- Proficiency in Azure Foundry and Azure ML (Hands-on experience required).
- Strong expertise in ML algorithms and deep learning techniques.
- Experience with computer vision, predictive modeling and NLP (including sentiment analysis).
- Hands-on experience with fine tuning and deploying large language models (LLMs).
- Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
- Experience in modern IT environments with governance (change / release management, service, helpdesk systems).
Skills, Tools, and Systems Experience
- Programming & Data Science : Python, R, SQL, Streamlit
- Data Engineering : Apache Spark, Kafka, dbt
- Responsible AI Tools : AI Governance Platform (e.g. Atlan)
Seniority level
Employment type
Job function
Industries
- Airlines and Aviation and Transportation Programs
Note : This refined description preserves the original information while removing unrelated boilerplate and correcting structure to improve clarity.
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