Machine Learning Engineer
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Job Description
Job Details:
Position: ML Engineer (MLOps)
Experience: 9+ years
Work Mode: Onsite
Location: Pune, Bangalore, Indore
Notice Period: Immediate Joiners
Must Have: Python, databases, Postgres, ECS - S3, LLMs, ML Flow hub, git hub.
Job Summary:
Experienced individual with scrum, scoping issues, writing and implementing clean scalable code, submitting
pull requests and resolving issues found by linters/scanners, code reviews.
More Info
About Company
Skills:
Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Java, Sql, Tensorflow, Pytorch, MLops, Predictive Modeling, XGBoost, Clustering, Python, embeddings, Scikit-learn, Go, Forecasting, vector databases, Classification, recommendation systems, CI/CD, Fraud Detection, ranking
Skills:
Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection
Skills:
Java, Tensorflow, Machine Learning, Pytorch, Python, Cloud Platforms, R, AI Systems, scikit-learn
Skills:
Java, Tensorflow, Pytorch, Python, Statistics, Machine learning pipelines and systems, scikit-learn, Scalable computing resources, Optimization, R, probability theory, Experimental methodologies, Cloud platforms, Machine learning algorithms and models, ML model development and deployment
Skills:
Deep Learning, Keras, Pytorch, Java, Tensorflow, Python, Machine Learning, R, Data Analysis