Machine Learning Visionary

4 days ago

Bellary, Karnataka, India beBeeMachineLearning Full time ₹ 1,95,39,000 - ₹ 2,51,11,000
Job Title: Senior Machine Learning Engineer

We are seeking a highly skilled Senior Machine Learning Engineer to join our team. The ideal candidate will have expertise in machine learning, natural language processing, and artificial intelligence.

About the Role

The Senior Machine Learning Engineer will be responsible for developing and implementing machine learning models using Python, SQL, and other relevant tools. They will collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to business problems. Conduct research and experimentation to explore new machine learning approaches and technologies. Optimize existing machine learning models for improved performance and efficiency.

  • Develop and implement machine learning models using Python, SQL, and other relevant tools.
  • Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to business problems.
  • Conduct research and experimentation to explore new machine learning approaches and technologies.
  • Optimize existing machine learning models for improved performance and efficiency.
Requirements

To be successful as a Senior Machine Learning Engineer, you will need:

  • A strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, statistical modeling.
  • In-depth knowledge of reinforcement learning algorithms (e.g., DQN, PPO, Actor-Critic) with hands-on project experience.
  • Proven experience in time series forecasting methods (e.g., ARIMA, LSTM, Prophet) and their practical application.
  • Proficient in Python, SQL, and other relevant programming languages.
  • Familiarity with cloud computing platforms such as AWS or Azure is a plus.
  • Ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders at all levels of the organization.
  • Bachelor's or master's degree in computer science, mathematics, statistics, or related field with a minimum of 5 years of experience.
Qualifications

You will also need:

  • Expertise in Python with the ability to write performant production-quality code, familiarity with SQL.
  • Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, CloudFormation, EKS, AWS Security and Networking).
  • Experience with distributed large-scale data processing.
  • Basic understanding of the machine Learning project lifecycle.
  • Experience building and scaling machine learning models using large amounts of data.
  • Expertise in Python and the ability to write performant production-quality code, familiarity with SQL.
Nice to Have

If you have experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space, that's great. If you excel in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions, that's also a plus.

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