Demo

AI/ML Data Scientist

Atem Corp
Atlanta, GA Full Time
POSTED ON 4/9/2025
AVAILABLE BEFORE 5/9/2025
Role- AI/ML Data Scientist

Locations- Atlanta, GA (Locals or nearby)

Duration- Long Term

Exp Level- 12 yrs

USC/GC/H4

Job Duties

  • Collect software requirements from Business and Subject Matter Experts and analyse requirements.
  • Collaborating with data scientists and analysts to understand data requirements
  • Communicating technical concepts to non-technical stakeholders

Perform requirement analysis, design, develop/modify, build, and deploy software applications/utility software applications.

  • Monitoring data pipelines for performance and reliability
  • Troubleshooting and resolving issues in data pipelines
  • Developing and optimizing data processing algorithms
  • Implementing parallel processing and distributed computing techniques
  • Performing exploratory data analysis

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information.

  • Source data identification and collection
  • Data extraction from various databases, APIs, and external sources
  • Data ingestion and integration into data pipelines
  • Data cleaning and preprocessing
  • Structuring Unstructured Data
  • Implementing data quality checks and validations

Experience in programming languages, technologies and Software tools required for this position are :

  • Python, MATLAB, JavaScript, XML, SQL, HTML, Shell, Huggingface, PyTorch, Tensorflow, Pandas, matplotlib, NumPy, d3, dplyr, GitHub, Azure DevOps, GitLab, Jupiter Notebook, Machine Learning, Predictive modelling, MLOps etc..

Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

  • Designing and maintaining data storage systems
  • Database management and optimization
  • Implementing data security measures

Visualize, interpret, and report data findings. Create dynamic data reports.

  • Creating dashboards and reports for data visualization
  • Implementing interactive data visualization tools
  • Establishing data governance policies and procedures

Ensuring compliance with data regulations and standards

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