Data Scientist

Koantek

$90K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Data Science, Machine Learning, or AI-related roles.
  • Strong experience in Generative AI and LLM applications.
  • Hands-on experience with LangChain or similar AI orchestration frameworks.
  • Solid understanding of key Machine Learning concepts such as Predictive Modeling, Classification, Regression, and Time Series Analysis.
  • Experience with ML Ops practices and deploying ML models in production.
  • Proficiency in Python and common data science libraries/frameworks.
  • Experience with cloud platforms and modern AI/ML toolsets.

Responsibilities

  • Design, develop, and implement Generative AI solutions like chatbots and AI assistants.
  • Work with frameworks such as LangChain and related LLM orchestration tools.
  • Build and optimize machine learning models for various applications including classification and regression.
  • Develop end-to-end ML pipelines to support model deployment in production environments.
  • Collaborate with cross-functional teams to identify business needs for AI/ML solutions.
  • Monitor, maintain, and enhance model performance and reliability.
  • Work with structured and unstructured datasets to derive actionable insights.

Benefits

  • Opportunity to work with cutting-edge Generative AI technology.
  • Collaborative and cross-functional work environment.
  • Access to cloud-based AI/ML environments for scalable solutions.
  • Professional development and continuous learning opportunities.
Full Job Description
Job Description
Job Title: Data Scientist / Senior Data Scientist

Job Description:

We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments.

Key Responsibilities:

  • Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
  • Work with frameworks such as LangChain and related LLM orchestration tools.
  • Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting.
  • Develop end-to-end ML pipelines and support deployment of models into production environments.
  • Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions.
  • Monitor, maintain, and improve model performance and reliability.
  • Work with structured and unstructured datasets to derive actionable insights.

Required Skills:

  • Strong experience in Generative AI and Large Language Model (LLM) applications.
  • Hands-on experience with LangChain or similar AI orchestration frameworks.
  • Solid understanding of Machine Learning concepts including:
    • Predictive Modeling
    • Classification
    • Regression
    • Time Series Analysis
  • Experience with ML Ops practices and deploying machine learning models into production.
  • Proficiency in Python and common data science libraries/frameworks.
  • Experience with cloud platforms and modern AI/ML toolsets.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

  • Experience with Databricks is a plus.
  • Familiarity with cloud-based AI/ML environments.
  • Experience working in enterprise-scale AI initiatives.

Experience Required:

  • 5+ years of experience in Data Science, Machine Learning, or AI-related roles.

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