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Python Developer

Columbia,MD

1904 Python Developer jobs in Columbia,MD

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DevOps Software Engineer

Eliassen Group

Gaithersburg, MD 20883

$55/hr
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Principal DevOps Engineer

Keller Schroeder

Baltimore, MD 21201

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Geotechnical/Civil Engineer - Business Development Specialist

3P CAREERS | CIVIL ENGINEERING | ARCHITECTURE | INTERIOR DESIGN

Baltimore, MD 21201

New, Posted 4 hours ago
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Senior Power BI Developer - W2 ONLY

nTech Workforce

Baltimore, MD 21201

New, Posted 1 day ago
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ServiceNow Developer - Clearable for Department of Defense Secret

Insight Global

Fort George G Meade, MD 20755

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Scientist, Analytical Development

Kelly Services

Gaithersburg, MD 20883

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Process Development & MSAT Sr Scientist / Manager, Cell Therapy - 257116

Medix™

Gaithersburg, MD 20883

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Senior AI Platform Developer (17775)

The Baer Group

Gwynn Oak, MD 21207

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Application Developer (mid-level)

Sparksoft Corporation

Columbia, MD 21046

New, Posted 1 day ago
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AI/ML Engineer Intern, Summer 2027

BAE Systems

Rockville, MD 20850

~ 37 min OnsiteRetirement Benefit

Full-Time Salary Range: $49592 - $68993
Can elect to participate in the 401(k) savings plan
Temporary employees working 20+ hours per week are eligible for medical benefits, the employee assistance program, and business travel accident insurance.
Enrolled student at an accredited 4-year college / university having completed a minimum of three years (Junior) by start of internship.
Pursuing a Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Computer Engineering or a related STEM field.
Some understanding of the AI/ML development process and its applications.
Knowledge of AI/ML libraries and frameworks (e.g., TensorFlow, Pytorch, Scikit-learn).
Knowledge in programming languages (e.g., Python, JSON/XML, structured and unstructured query languages).
Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
Knowledge of data visualization tools (e.g., Matplotlib, Seaborn) and data storytelling techniques.
Familiarity with natural language processing (NLP) and computer vision libraries (e.g., NLTK, spaCy).
Experience with ETL/TS tools and frameworks (e.g., Apache Beam, AWS Glue).
Familiarity with big data technologies like Hadoop, Spark, and Kafka.
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