Data Driven Transportation Solutions Architect

4 days ago

Kannur, Kerala, India beBeeMachineLearning Full time US$ 1,80,000 - US$ 2,50,000

As a key member of our team, you will be instrumental in shaping the future of transportation with innovative solutions. Your expertise in machine learning will enable us to develop cutting-edge technologies that transform the industry.

About Us

We are a fast-growing company with a global presence, headquartered in Silicon Valley. Our mission is to empower high-quality local fleets and provide reliable ground transportation services worldwide.

Our corporate culture values collaboration, partner-centricity, and continuous improvement. We strive for excellence in everything we do.

Key Responsibilities:

  • Develop and implement machine learning models using Python and 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.
  • Provide technical leadership and mentorship to junior members of the team.

Requirements:

  • 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 beneficial.
  • The ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders at all levels of the organization.
  • A 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 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.
  • A basic understanding of the machine Learning project lifecycle.
  • Experience building and scaling machine learning models using large amounts of data.

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