Lead Data Scientist

1 day ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time US$ 1,25,000 - US$ 1,75,000
Machine Learning Engineer

Data scientists who can think out of the box and expect more from their career are needed. They must be skilled in AI/ML solutions, model design, feature planning, system infrastructure, production setup and monitoring, and release management.

To succeed in this role, you will need to have excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. You should also have experience in selecting features, building and optimizing classifiers using machine learning techniques.

Apart from these skills, it is essential to have a good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.. A strong grasp of IT concepts with a strong algorithms/data structures background is necessary.

Key Skills:
  • Experience in developing industrial IT solutions with Data Science
  • Developing and deploying machine learning, deep learning, NLP solutions
  • Strong proficiency with libraries like scikit-learn, pandas, PyTorch/TensorFlow
  • Familiarity with NoSQL databases such as MongoDB, Cassandra, HBase
  • Prior experience in developing APIs, services using either C# or Java

You will also have the opportunity to work closely with product teams to implement algorithms with Python and/or R, and to facilitate integration with enterprise applications using APIs to enrich implementations.

This position requires a minimum of 5 years of experience in designing/developing industrial IT solutions with Data Science and a minimum of 3-5 years of experience in developing and deploying machine learning, deep learning, NLP solutions.

Why Join Us?

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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