Data Scientist

2 weeks ago


Shimoga, Karnataka, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title: Artificial Intelligence and Machine Learning Specialist - India Wide

We are seeking a highly skilled Artificial Intelligence and Machine Learning Specialist to join our team on an India-wide basis. As a key member of our data science team, you will be responsible for developing innovative solutions to complex problems by leveraging cutting-edge machine learning and GEN AI techniques.

You will lead a team of data scientists to deliver high-quality project results on time, identify client needs in various domains by analyzing large datasets, ensuring data integrity, and performing exploratory data analysis using advanced methods.

Select features, build and optimize classifiers/regressors using machine learning and deep learning techniques.

Enhance data collection procedures to include relevant information for analytical systems, ensuring data quality and accuracy.

Present results clearly to technical and non-technical stakeholders through ad-hoc analysis and custom reports with strong data visualization skills.

Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques.

Strong programming skills in Python, excellent communication and interpersonal skills, and ability to present complex concepts to both technical and non-technical stakeholders.

Key Skills Include:

  • Excellent understanding and hands-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI.
  • Deep learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
  • Coding in common data science language & tools such as R, Python.
  • Common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
  • Cloud platforms (Azure/AWS), deployment of models in production.


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