Senior Machine Learning Engineer

1 week ago

Delhi, India Elife Transfer Full time

Our Company:A fast-growing start-up headquartered in San Francisco, CA, USA in the heart of Silicon Valley. We recruit worldwide as our customer base is global. Reliable ground transportation provider, any type of vehicle globally.Vision: Reliable ground transportation services globally with all types of vehicles.Mission: Empower high-quality local fleetsCorporate Culture: team first- Partner-centric- Team collaboration,- Never "not my job", end-to-end ownership,- Continuous learning and improvement,- Hard-working and pragmatic,- Don’t be a middleman,- Result-drivenJob title: Sr Machine Learning EngineerJob description- 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.- Provide technical leadership and mentorship to junior members of the team.Job requirements- 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 experienceQualifications:- 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.It’s great, but not required, if you have- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space- Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

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