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Data Scientist - AI/ML
- Insight Global (Atlanta, GA)
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Job Description
Insight Global is looking for a Data Scientist focused on AI and Machine Learning for a Data Analytics & AI consulting firm. This candidate will be responsible for working on a project that will serve a large insurance client. This is a fulltime role with compensation starting at $135K as well as benefits and bonus structures.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Skills and Requirements
Architect and implement distributed training strategies utilizing frameworks like Horovod or DeepSpeed.
Deploy and manage ML models using containerization (Docker, Kubernetes) and serving frameworks (TensorFlow Serving, TorchServe, Seldon Core).
Implement robust model monitoring and drift detection systems.
Leverage MLOps best practices for CI/CD of ML pipelines and models.
Profile and optimize model performance for low-latency inference.
Integrate with various data storage solutions (e.g., distributed file systems, vector databases).
Contribute to the development of internal AI/ML infrastructure and tooling.
Troubleshoot and debug complex distributed AI/ML systems.
Key Skills:Deep understanding of Machine Learning paradigms (Supervised, Unsupervised, Deep Learning, Reinforcement Learning).
Expertise in Python and relevant scientific computing libraries (NumPy, SciPy).
Proficient in deep learning frameworks (TensorFlow, PyTorch) and their ecosystems.
Strong experience with data pipeline orchestration tools (Airflow, Kubeflow).
Expertise in feature engineering platforms (Feast, Tecton).
Solid understanding of distributed computing concepts and frameworks (Spark, Dask).
Experience with containerization and orchestration (Docker, Kubernetes).
Knowledge of ML model serving frameworks (TF Serving, TorchServe, Seldon Core).
Familiarity with model monitoring and drift detection techniques.
Strong understanding of data serialization and storage formats (e.g., Parquet, Avro, Protocol Buffers). null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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