Head- Machine Learning

Job content

Note :-Work -Work from Home till Covid 19 (Further Notification

Must Have Skills :

Python.
Libraries like Numpy, Pandas, SK-learn, TensorFlow 2.0, PyTorch, Keras, XGboost, Autograd, Plotly, Jupyter etc.
ML algorithms like clustering, SVMs, NNs, XGBoost etc.
MySQL, MongoDB, ElasticSearch or other NoSQL database implementations.
APIs and JSON-REST. Able to access and work with various data APIs.
A wide set of machine learning approaches and designing the features and data processing to actually make them work.

Nice to have Skills:
Experience with consumer marketing, or utility markets
Experience with semi-remote or fully distributed teams
Knowledge of backend technologies Message Queues, IPC
Worked with cloud providers like AWS and Digital Ocean.

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:
Managing a team of machine learning engineers and big data specialists
Researching and Development through different methodologies on different data sets
Interpreting and analyzing data problems
Leading our Machine Learning team and ensuring quality work from team members
Managing projects as per client requirements
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
Taking responsibility to do the data-driven products
Ensuring the data quality and integrity

Experience:
10+ years of experience in the field of Data Sciences or Machine Learning
Qualification:
B.E / B. Tech / M. Tech in CS/IT or Data Sciences
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