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Data Scientist

Data Scientist
ZAR IT Solutions
8 months ago

Data Scientist

US|Software Engineer (Senior) (3063)

Location: Tampa, Dallas, Jersey - Hybrid

Max Bill Rate: $80/hr.

CTH Perm

Interview Process: 2 rounds

Responsibilities

  • Collaborate with business stakeholders to understand business requirements and translate them into technical specifications for a Machine Learning solution.
  • Perform data analysis, feature engineering, and model selection.
  • Apply various Machine Learning algorithms and Generative AI techniques to solve business problems.
  • Develop and implement efficient MLOps pipelines and infrastructure for training and serving ML and Large Language models.
  • Monitor and evaluate the performance of models, identify and address potential issues, and implement improvements.
  • Document design decisions, technical specifications, establish and adhere to code quality best practices.
  • Stay up-to-date on the latest advancements in AI and actively participate in knowledge sharing within the team.
  • Work closely with external SMEs and vendors to partner on execution and get knowledge-transfer on exit to ensure key subject matter expertise is retained and preserved within Client.
  • Execution of projects at a rapid pace with the ability to multi-task and pivot as needed.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field.
  • 7+ years of experience in Machine Learning and Data Science.
  • Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn) and LLMs.
  • Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP).
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong problem-solving skills and analytical thinking.
  • Passion for learning and staying up-to-date with the latest advancements in Machine Learning.

Expertise level

Work arrangement

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