Data-Driven Innovation Specialist

5 days ago

India beBeeMachine Full time US$ 1,04,000 - US$ 1,30,878
Machine Learning Engineer Role">

Our organization is a rapidly growing startup with headquarters in the heart of Silicon Valley. We have a global customer base and recruit talent from around the world.

Our vision is to provide reliable ground transportation services globally using various types of vehicles.

Our mission is to empower high-quality local fleets by fostering a collaborative team environment.

Our corporate culture is built on teamwork, where every individual takes ownership of their work and contributes to our collective success.

  • We value partnerships, collaboration, and continuous learning.
  • Our teams are hardworking, pragmatic, and result-driven.

Job Title: Senior Machine Learning Engineer

Job Description

  • Develop and implement machine learning models using Python, SQL, 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 team members.

Required Skills and Qualifications

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

Benefits and Opportunities

  • 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.

Additional Requirements

  • Experience working in consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
  • Ability to excel in solving ambiguous and complex problems, navigating uncertain situations, breaking down complex challenges into manageable components, and developing innovative solutions.

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