Job Description

Total Exp in years - 4 7

Responsibilities:
- Work on end-to-end ML Lifecycle from acquiring data, data cleaning, model building and deployment of models
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
- Verifying data quality, and/or ensuring it via data cleaning
- Experience in building Machine Learning and Deep Learning models either with predictive algorithms, Timeseries, NLP or Computer Vision and deployment of the same
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Supervising the data acquisition process if more data is needed
- Finding available datasets online that could be used for training and data augmentation pipelines
- Defining validation strategies,



defining preprocessing or feature engineering to be done on a given dataset
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
- Design/architect state-of-the-art data pipelines - on-prem, cloud and hybrid.
- Automate and streamline existing processes, procedures, and toolsets
- Innovate recent ways of managing, transforming and validating data
- Ensure code paths are unit tested, defect free and integration tested
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
- Design and implement cloud solutions, build MLOps on Azure
- Work with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
- Data science models testing, validation and tests automation.
- Communicate with a team of data scientists, data engineers and architect, docume

📌 Sr. ML Engineer (Bengaluru)
🏢 PradeepIT Consulting Services
📍 Bengaluru