Machine Learning Engineer
Machine Learning Engineer
qualitykiosk technologies pvt. ltd.Early Applicant
- Posted 2 months ago
- Be among the first 20 applicants
Job Description
- Role: AI ML Engineer
- Location: Mumbai or Bangalore
- Experience: 4 plus years
Key Responsibilities
- Machine Learning – hands-on experience in model development.
- Generative AI modules – building or integrating chatbots, conversational agents, or similar AI workloads
- AI-Related Cloud Infrastructure – deploying, monitoring, and scaling ML/AI services on AWS/Azure/GCP
- Microservices Architecture – designing or working with distributed, micro-architected applications
More Info
Key Skills
About Company
Skills:
containerization , MLops, Distributed Systems, Logging, LLM-based systems, Alerting, Model observability, Vector databases, Drift detection, Scalable inference systems, Machine Learning Engineering, Orchestration patterns, Model training, Cloud-native architectures, Embeddings, Data ingestion, Experiment tracking, cost tracking, ML platform development, tracing, Feature management, Model registry, Monitoring
Skills:
Tensorflow, Machine Learning, Pytorch, MLops, Natural Language Processing, Sql, Python, Deep Learning, Vector Databases, Generative AI, Retrieval-Augmented Generation
Skills:
Keras, Tensorflow, Frameworks, AWS, Pytorch, Python, Azure, Gcp, model evaluation, feature engineering, data preprocessing, cloud-based ML solutions, MLOps practices, model monitoring
Skills:
Sql, Machine Learning, Gcp, Docker, Spark, Kafka, Kubernetes, Python, AWS, RAG, Generative AI models, Llm
Skills:
FastAPI, Pyspark, Sql, Tensorflow, Azure ML, Pandas, Pytorch, XGBoost, Flask, Databricks, Python, Azure DevOps, scikit-learn, LightGBM