Aiml
1 week ago
Machine Learning Developer, you will be responsible for designing and implementing machine learning algorithms, predictive models and data mining algorithms.
Extending existing ML libraries and frameworks
Understanding business objectives and developing models that help to achieve them
Processing, cleaning, and verifying the integrity of data used for analysis
Creating automated anomaly detection systems and constant tracking of its performance
Implementing suitable AI/ML algorithms to solve specific problems
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Finding available datasets online that could be used for training
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate machine learning algorithms and tools
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Extend existing machine learning libraries and frameworks
Proven experience as a Machine Learning Developer or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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