Machine Learning Engineer

Job Description

What it s really like to work here:

We recognize the value that company culture plays in the recruitment process. Beyond the standard technical and experience fit, we look for individuals who will become a part of our family. When you join our team, you become a part of a strong network of brilliant and an accomplished legacy from top engineering and business schools in the world such as the Indian Institute of Technology, Oxford University, University of Cambridge, University College of London and many more.

We want more people who can thrive in a collaborative team-environment. Our multi-layered support system, comprising a global network of advisors, provides unparalleled opportunities for growth and learning in a friendly environment. We don t believe in old-fashioned hierarchies. We work in teams and give people at all levels the freedom to lead and implement projects. With flexible hours and merit-based reward systems, we offer tremendous potential for advancement.

You are the person for this job, if you have these qualities:

• Results-oriented. You can meet tight deadlines and produce clear and concise feedback/reports to senior management.

• Collaboration. You have the ability to work closely with other business teams in a collaborative setting.

• Communication skills. You are great at conveying your message to team members and other stakeholders.

• Honesty. You work diligently and honestly. You have strong moral principles.

• Knowledgeable. You are constantly researching and always up-to-date with all recent advancements in data sciences. You have a flair for using the right metrics to measure model performance, quality, and reliability.

• Problem-solver. You proactively identify challenges and risks to the project and offer solutions. You demonstrate the ability to transform theoretical knowledge to practical, real-world situations.

• Critical-thinker. You have the ability to think critically and conceptually about the role of each feature/development unit in the achievement of the product s goals.

• Experience. You have previously worked with large databases to access, manipulate and process data.

We are looking for people with knowledge of:

• Python

• Libraries like Numpy, Pandas, sk-learn, tensorflow 2.0, pytorch, keras, xgboost, autograd, plotly, Jupyter etc.

• MySQL, MongoDB, ElasticSearch or other NoSQL database implementations.

• APIs and JSON-REST. Able to access and work with various data APIs.

• Ensemble Algorithms, Artificial Neural Networks and Deep Learning, Clustering Algorithms, Decision Tree Algorithms, Dimensionality Reduction Algorithms,clustering, SVMs, NNs, XGBoost etc.

• A wide set of machine learning approaches and designing the features and data processing to actually make them work.

What you ll work on:

As an ML Engineer, you will be creating a forecasting model in python for the Solar and Wind Plants by using the various Machine Learning algorithms. Ultimately, through your contribution to the renewable energy revolution, you will be doing your bit to mitigate the effects of climate change. These are a few things you can look forward to working on:

• Developing and testing the forecasting algorithms using large data sets such as load weather historical, grid etc.

• Collaborating with the team to deploy the developed model as per the client need

• Taking responsibility for the Model development process, testing, and debugging required for deploying the models

• Collaborating with the operations team and management to establish strategies.

• Ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.

• Driving the response to discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.)

• Staying up-to-date on evolutions in best practice, tooling, and strategies in the ML space.

Qualifications:

• B.E / B. Tech / M. Tech in CS/IT or Data Sciences

Experience:

• 2-4 years of experience in the field of Data Sciences or Machine Learning

Where you will work:

• Pune, Maharashtra

• Gurgaon, Haryana

Remuneration:

• The remuneration for this position is one of the most competitive in the market

Keyskills :
artificial neural networksdeep learningreward systemsdata processingneural networksrenewable energymachine learningequipment supplybusiness schoolsmodel developmentdimensionality reductionxmlisorcasetfitsolarmysql