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Job Location: The Great Bharat
Job Detail:
About the role
- Hands-on experience and strong programming skills in Python and SQL. Must have practical exposure to scientific software development packages like numpy, scipy, pytorch, pandas, scikit-learn or seaborn.
- Designing, developing, and researching Machine Learning systems, models, and schemes.
- Strong understanding and hands-on work experience on Deep Learning, Computer Vision, and NLP.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes covering all components with E2E technical architecture.
- Strong interpersonal skills and ability to understand the big picture and deliver results in a partnering and collaborative style.
- Passion to understand and analyze business problems consequently trying to address them by leveraging data characterized by high-volume, high dimensionality from multiple sources.
About you
- Proven experience on building machine learning models viz classification, clustering, time-series analysis, or recommender systems. Must have implemented ML algorithms such as KNN, Logistic Regression, Naive Bayes, Random Forest, Decision Tree, Dimensionality Reduction (PCA, TSNE) etc.
- Strong programming skills on Python with experience in database development in MSSQL
- Must be expert in Numpy, Pandas, Matplotlib, Seaborn, Dimensionality Reduction (PCA) with ability to build and deploy Machine learning models using modern AI techniques.
- Must be well versed with Matrices, Probablity, Statistics and Linear Algrebra
- Strong understanding and hands-on work experience on Deep Learning (RNN, CNN, LSTM, Auto encoders), Computer Vision and Bagging/Boosting.
- Proven experience in dealing with both structured & unstructured datasets and drawing the insights from the data.
- Experience / Knowledge on NLP libraries, Feature Engineering and Text Preprocessing techniques.
- Industrywide accepted certification on AI/ML topics.
- Good to have experience with Cloud platforms and DevOps.
- Strong problem solving and analytical skills.
- Effective presentation skills and ability to communicate analysis of complex models in a clear and precise manner.
- Excellent time management and organizational abilities.
Additional information
- Bachelor’s Degree (B.E. or B.Tech) or equivalent in the Computer Science, Computer Engineering or Information Technology disciplines with strong fundamentals in software engineering
- Minimum of 8-10 years of total experience and 4-5 years relative exp. in Artificial Intelligence and Machine Learning projects where models and integrated solutions (using process automation tools) were deployed to production.
Department
Global Delivery & Operations
Contract
Regular
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