ML Ops Engineer

ML Ops Engineer

Emmess technologies private Limited | Chennai, TN, IN

Posted a month ago

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Description

Position: MLOps Engineer

Qualifications:
 Overall, 4 to 5 years of work experience as a Machine Learning Engineer or related role.
 1.5 to 2 years of experience working as MLOps Engineer.
 Understanding of data structures, data modelling and software architecture.
 Familiarity and proficiency with machine learning frameworks (like PyTorch, TensorFlow, Keras, MxNet) and libraries (like scikit-learn, pandas).
 Knowledge of CUDA, OpenCL, OpenGL, and OpenCV.
 Proficiency in Python coding, knowledge in other programming languages is an added advantage.
 Understanding and scripting on SQL/ NoSQL databases (e.g., MySQL, MangoDB)
 Familiarity with various operating systems (e.g., Windows, Linux, UNIX)
 Knowledge on Big Data & tools like Spark based - distributed training and inferencing.
 Experience with deploying popular - highly scalable, distributed ML models and open-source projects.
 Must have worked on one of the MLOps Tools: MLFlow, Kubeflow, DVC etc.
Deploying code fand using:
• Cloud Platforms - Azure, AWS, GCP.
• Standalone Systems (Using Flask/ FastAPI/ Docker/ Kubernetes etc.)
• Handling Code with respect to various languages - PMML, Pickle, ONNX etc.

 Deep Neural Networks, Computer Vision and Natural Language Processing knowledge and understanding of Architecture/ Packages like Yolo, Mask-RCNN, NLTK, Gensim, SpaCy, CoreNLP etc. is a bonus.
 Knowledge of text detection & OCR, human / face detection, generative models, reinforcement learning, video analytics, model compression / optimization.
 Knowledge of math, probability, statistics, and algorithms.
 Outstanding analytical and problem-solving skills.
 Good team player and excellent written and verbal technical communication skills.
 Preferable to have FMCG/CPG domain knowledge.
 BE / BCA / BSc in Computer Science; Master's degree in the same stream is a plus.

Responsibilities:
 Build ML (Dev/Test/ UAT) Pipelines using DEVOPS tools for Continuous Training/ Integration and Deployment.
 Operationalize and Maintain the MLOps setup.
 Handle Deployment of ML Models using any of the methods like Canary, Shadow etc.
 Working with cross functional individuals like Data Engineers, SW Engineers to integrate the code as per the Deployment strategy.
 Perform Sanity/ Smoke and Other Tests as per the Requirements to ensure the code functionality is working as expected.
 Analyse logs generated as part of the AI code and develop methods to capture, raise red flag and communicate back to the respective stake holders.

Position: MLOps Engineer Qualifications:  Overall, 4 to 5 years of work experience as a Machine Learning Engineer or related role.  1.5 to 2 years of experience working as MLOps Engineer.  Understanding of data structures, data modelling and soft

Skills: MLops

Experience: 3.00-5.00 Years

Education: Bachelor Of Computer Application (B.C.A)