The AI/ML Engineer is responsible for designing, developing, and implementing artificial intelligence and machine learning models to solve enterprise IT and operational challenges. The role encompasses NLP, computer vision, automation, predictive modeling, and MLOps at varying scales of responsibility based on the level. The ideal candidate will help drive automation, optimize service performance, and contribute to Astreya’s innovation in managed services.
Scope
• Translate business goals into measurable ML goals (KPIs, acceptance thresholds) in collaboration with PMs and data scientists.
• Own the full lifecycle from prototyping (incl. deep learning and GenAI) to deployment and monitoring.
• Develop and maintain observability dashboards and alerts tied to ML metrics and feature drift.
• Run and safeguard models in real time
• Pilot current ML tools/frameworks, leading integration into production where appropriate.
• Act as a cross-org ML thought leader—aligning product, infra, legal, and UX on responsible ML.
Key Deliverables by Level
Level 1
AI/ML Engineer I
• Cleaned,
annotated, and pre-processed datasets for supervised learning models
• Simple machine learning models (e.g., logistic regression, decision trees) implemented under guidance
• Exploratory data analysis reports
• Jupyter notebooks documenting model experiments
• Unit-tested ML scripts
• Essential Duties and Responsibilities (All Levels):
• Assist in data cleaning, feature engineering, testing basic ML models, write and debug simple scripts
• Develop ML modules, assist in deployment, support data pipelines, contribute to documentation and unit testing
• Support data preparation, model training under guidance, debug code, attend knowledge sessions
• Develop and maintain smaller AI modules (e.g., anomaly detection), assist in deployments, write technical documentation
• Lead development of scalable ML models, integrate into ITSM systems, ensure compliance and performance metricsArchitect end
📌 AI/ML Engineer I (India)
🏢 Astreya
📍 India