Job Location: Pune
We are looking for people with knowledge of:
Excellent verbal communications, including the ability to clearly and concisely articulate
complex concepts to both technical and non-technical collaborators
Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world
problems on large scale data
Extensive experience with Python and SQL for software development, data analysis, and
machine learning
Experience on Libraries: TensorFlow, Keras, Numpy, sklearn,pandas, scikit-image, matplotlib,Jupyter, Statsmodels
Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks,Deep Learning, Logistic Regression, Associations Analysis
Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
Aptitude and experience in applied statistics and machine learning techniques
Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
Experience launching production-quality machine learning models at scale e.g. data set
construction, pre -processing, deployment, monitoring, quality assurance
Experience with math programming is an added advantage. For example: optimization,
computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touch points.
We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
Translating high-level problems and key objectives into granular model requirements.
Defining acceptance criteria that are well structured, detailed, and comprehensive.
Developing and testing algorithms using our price forecasts, and customers’ energy
portfolio.
Collaborating with the software engineering team in deploying the developed models
tailored to specific customer needs.
Participating in the software development process, and doing the required testing, and
debugging to support the deployed models.
Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
Driving the response to the discovery of regressions or failures, by undertaking various
exercises (e.g. debugging, RCA, etc.) as needed
Experience:
5-8 years of experience in the field of Data Sciences or Machine Learning
Qualifications:
B.E / B. Tech / M. Tech in CS/IT or Data Sciences
Kindly share your updated cv, If above requirement is matched with your Experience & Skills set.
IIT;NIIT in computer science
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