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AI/ML Engineer
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- Posted 10 days ago
- Be among the first 30 applicants
Job Description
About The Role
You will own model lifecycle from feature design through deployment and monitoring.
What You Will Do
You will own model lifecycle from feature design through deployment and monitoring.
What You Will Do
- Build ML pipelines and models.
- Deploy and monitor model behavior in production.
- Collaborate with data and platform teams for robust delivery.
- 3+ years in applied ML with production deployments.
- Strong Python and ML framework proficiency.
- MLOps literacy and statistical grounding.
- LLM and RAG deployment patterns.
- BFSI or healthcare AI domain exposure.
More Info
About Company
Skills:
Aws Lambda, Machine Learning, Design Patterns, Dependency Injection, Rest Apis, Python, OOP principles, event loops, fault-tolerant cloud services, JSON serialization, Distributed System Design, modularity, asyncio, queue-based orchestration
Skills:
Django, Git, Cloud, Docker, Agile, FastAPI, Rest Apis, AI ML, Python, Microservices, CI CD
Skills:
data preparation , prophet , Sql, Tensorflow, Numpy, Pandas, MLops, Pytorch, Gcp, Azure, Python, AWS, Generative AI, Feature Engineering, Scikit-learn, Model Optimization, CI CD, Agentic AI, Time Series Forecasting, Hyperparameter Tuning, RAG, Large Language Models
Skills:
BigQuery, Dataproc, Sql, Jenkins, Cloud Storage, Terraform, Sonarqube, DataFlow, Python, Logging, Cloud Functions, Cloud Build, Cloud Monitoring, GitHub Enterprise, Pub Sub, GitHub Actions, Cloud Run, Dataplex, Vertex AI
Skills:
probability , Logistic Regression, Clustering, Sql, XGBoost, Python, AWS, Computer Vision, trees, Statistics, calculus, anomaly detection, Test-Driven Development, Geometric Computation, linear algebra