Artificial Intelligence Specialist

16 hours ago

Erode, Tamil Nadu, India beBeeMachine Full time ₹ 80,00,000 - ₹ 1,20,00,000
Machine Learning Engineer Role

We are seeking a skilled Machine Learning Engineer to join our team.

Job Description

The ideal candidate will have a strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, and statistical modeling. They should be proficient in Python, SQL, and other relevant programming languages. Experience with cloud computing platforms such as AWS or Azure is a plus.

Responsibilities include:

  • Developing and implementing machine learning models using Python, SQL, and other relevant tools.
  • Collaborating with cross-functional teams to identify opportunities for applying machine learning techniques to business problems.
  • Conducting research and experimentation to explore new machine learning approaches and technologies.
  • Optimizing existing machine learning models for improved performance and efficiency.
  • Providing technical leadership and mentorship to junior members of the team.

Requirements:

Strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, and statistical modeling.

Proficient in Python, SQL, and other relevant programming languages.

Experience 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.

Preferred Qualifications

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.

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