AI Engineer
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Job Description
Designation: AI Engineer
Experience : 5 9 Years
Location : Hyderabad
Notice Period Immediate or 15 days maximum
Requirements
Mandatory Skills
3 years of work experience in writing code in Python
Experience in using various Python libraries like Pandas NumPy
Experience in writing good quality code in Python and code refactoring techniques (e.g. IDE s PyCharm Visual Studio Code; Libraries Pylint pycodestyle pydocstyle Black)
Deep understanding of data structures algorithms and excellent problemsolving skills
Machine Learning libraries like Scikitlearn XGBoost
Experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression Gradient Boosted Decision Trees Random forest etc.
Experience of working with Sequence Models in Deep Learning like LSTMs etc. especially in the context of Time Series Forecasting.
Deep Learning frameworks like TensorFlow Keras PyTorch
Experience in distributed training of models on Nvidia GPU s
Deploying AI solutions into production environment
Experience of model training and serving on any of the cloud environments (AWS GCP Azure)
Strong working knowledge of source code control tools such as Git Bitbucket
Prior experience of designing developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous
Strong drive to learn and master new technologies and techniques
Strong communication and collaboration skills
Good attitude and selfmotivated
Benefits
Where Innovation Acceleration and Transformation meet to deliver highROI technology and business solutions.
Our design thinking approach to agile software development coupled with premium fullstack capabilities and a cuttingedge innovation mindset accelerates timetomarket. This results in longterm strategic and competitive advantages for our clients and partners.
Veltris Innovate Accelerate Transform to enable technologydriven Enterprise Business and Industry transformations.
Mandatory Skills 3+ years of work experience in writing code in Python Experience in using various Python libraries like Pandas, NumPy Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE s PyCharm, Visual Studio Code; Libraries Pylint, pycodestyle, pydocstyle, Black) Deep understanding of data structures, algorithms, and excellent problem-solving skills Machine Learning libraries like Scikit-learn, XGBoost Experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc. Experience of working with Sequence Models in Deep Learning, like LSTMs, etc. especially in the context of Time Series Forecasting. Deep Learning frameworks like TensorFlow, Keras, PyTorch Experience in distributed training of models on Nvidia GPU s Deploying AI solutions into production environment Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) Strong working knowledge of source code control tools such as Git, Bitbucket Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous Strong drive to learn and master new technologies and techniques Strong communication and collaboration skills Good attitude and self-motivated
Employment Type
Full Time
Key Skills
