Machine Learning Engineer
New
H
HangLoyalty Platform
Remote, New YorkFull-TimeSenior
SalaryCompetitive salary & equity compensation.
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonPyTorchSnowflakePostgresRedisTensorflowLLM
Requirements
- Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in machine learning and data related roles.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
- Experience with data processing and data analytics.
- Experience with vector databases (Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss).
- Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
- Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
- Experience with Snowflake, Postgres, RDS, Redis and AWS.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to work well in a team.
Responsibilities
- Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
- Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
- Continuously test and refine algorithms to improve accuracy and efficiency.
- Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
- Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
- Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.
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