Data Scientist Specializing in Artificial Intelligence and Machine Learning Models

6 days ago

Singapore beBeeMachine Full time $90,000 - $120,000

Job Title: Data Scientist with Expertise in Machine Learning

We seek a highly skilled Data Scientist to lead the design and implementation of machine learning algorithms addressing key business problems.

Key Responsibilities:

  • Develop and deploy machine learning models with scalability and performance in live environments.
  • Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization.
  • Design and implement machine learning algorithms addressing key business problems in visibility, prediction, demand forecasting, and freight audit.
  • Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices.
  • Perform feature engineering, model tuning, and validation to ensure models are production-ready and optimized for performance.
  • Build, test, and deploy real-time prediction models, maintaining version control and performance tracking.

Requirements:

  • Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field.
  • 5+ years of experience building, deploying, and scaling machine learning models in production environments.
  • Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques.
  • Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments.
  • Experience working in a product-based company, preferably within a startup environment with early-stage technical product development.
  • Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with real-time data processing, anomaly detection, and time-series forecasting in production.
  • Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions.
  • First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges.
  • A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results.
  • Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset.

The ideal candidate will have a proven track record of delivering high-quality results in a fast-paced environment.

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