Data Scientist and Machine Learning Engineer

4 days ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time ₹ 1,04,000 - ₹ 1,30,878
Job Title

Data Scientist & Machine Learning Engineer

About the Job

We are looking for a skilled Data Scientist & Machine Learning Engineer to join our team. As a key member of our data science department, you will be responsible for developing and deploying machine learning models that drive business growth.

Key Responsibilities
  • Develop and train machine learning models using various techniques such as supervised and unsupervised learning
  • Analyze and process structured and unstructured data to identify trends and insights
  • Create data visualizations to present findings and recommendations to stakeholders
  • Collaborate with engineering and product development teams to build and test ML/DL solutions
  • Own the entire life cycle of ML operations from data processing, model training, hyperparameter tuning, deployment, model management, and observability
Requirements
  • Bachelor's degree in engineering or related field
  • Excellent hold on core programming languages such as Java, C++, and Python
  • In-depth working knowledge of current ML techniques, both supervised and unsupervised learning techniques
  • Implementation experience with classification, regression, pattern recognition, reinforcement learning, deep learning, and optimizations
  • Strong math and analytical skills with business acumen
Preferred Qualifications
  • Master's degree in engineering or related field
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Knowledge of cloud-based platforms such as AWS or GCP
Benefits

We offer a competitive salary and benefits package, including health insurance, retirement savings plan, and paid time off.

Other Information

This is a full-time position with a permanent contract.

The ideal candidate will have a strong passion for machine learning and data science, excellent communication skills, and the ability to work collaboratively in a team environment.

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