Harnham

Employ integration with major big data frameworks, such as Databricks, as necessary to address client needs.. Proficiency in Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.. Experience with Docker and/or Kubernetes (minimum 1 year).. Experience with task schedulers (e.g., Celery, Airflow, Prefect, etc.). and web-app development stacks (e.g., Flask/Django) (minimum 1 year).

senior machine learning engineer

Senior Data Scientist (TS/SCI)Washington, DC$180,000 - $200,000Defense CompanyMy client is an innovative analytics firm dedicated to empowering organizations across industries to make swift, informed decisions through accessible AI solutions. Our platform simplifies complex data into user-friendly visualizations, enabling predictive analytics for future insights. With a rich foundation in research, including collaborations with prestigious institutions, our technology has gained recognition in both corporate and government sectors. Responsibilities<ul><li>Utilize the features of the companies AI Platform to implement operational solutions for clients.</li><li>Lead the development cycle of AI solutions from conceptualization to deployment, utilizing customer data.</li><li>Employ integration with major big data frameworks, such as Databricks, as necessary to address client needs.</li></ul> Qualifications<ul><li>Active TS/SCI security clearance required, with willingness to operate from an SCIF.</li><li>Residence in or near Washington DC/Northern Virginia to access relevant SCIFs.</li><li>Anticipated regular travel to client sites and military installations.</li><li>Bachelor's degree in Computer Science.</li><li>Minimum 3 years of Python coding experience for production-level applications.</li><li>Proficiency in Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.</li><li>Experience deploying machine learning models in production environments (minimum 1 year).</li><li>Familiarity with SQL/NoSQL databases or alternative database systems (e.g., elasticsearch, graph databases, etc.).</li><li>Proficiency with Git or an alternative version control tool (minimum 3 years).</li><li>Experience with Docker and/or Kubernetes (minimum 1 year).</li><li>Strong sense of ownership and accountability.</li><li>Excellent written and verbal communication skills in English.</li></ul> Preferred Skills<ul><li>Demonstrated leadership in developing projects within a SCIF environment.</li><li>Experience in Cyber Analytics, including PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.</li><li>Familiarity with integrating applications using Spark, Dask, Snowpark, or Kafka (minimum 1 year).</li><li>Experience with task schedulers (e.g., Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g., Flask/Django) (minimum 1 year).</li></ul> HOW TO APPLYPlease register your interest by sending your résumé to Nicolas Gonzales via the Apply link on this page.

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