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Machine Learning Engineer

  • Job type Posted on: Jul 24, 2026
  • Experience level RESOURCESOFT INC
  • Employment type Philadelphia, Pennsylvania
  • Employment type Onsite
  • Salary Full-time
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Job Title :

Machine Learning Engineer

Job Type :

Full-time

Job Location :

Philadelphia Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Requirements
  • 3 or more years of experience engineering scalable machine learning models utilizing Python and PySpark architectures.
  • Proficiency in developing advanced predictive algorithms utilizing Scikit-learn and deep learning frameworks.
  • Experience with executing complex SQL queries to architect robust data ingestion and transformation pipelines.
  • Experience in deploying models into production environments leveraging Docker and modern MLOps practices.
  • Experience with configuring and deploying advanced local Large Language Models for enterprise applications.
  • Experience in applying rigorous statistical methods, probability theory, and complex algorithm design.
  • Excellent communication skills to articulate experimental performance metrics and architectural strategies.
Responsibilities
  • Architect, train, and deploy sophisticated machine learning and deep learning models for real-world applications.
  • Engineer high-performance data pipelines to automate massive-scale data collection, cleaning, and ingestion.
  • Optimize complex mathematical models systematically to maximize computational speed, scalability, and precision.
  • Execute rigorous experimental evaluations to accurately analyze performance metrics including accuracy, recall, and AUC.
  • Orchestrate seamless model deployment lifecycles by containerizing applications for production environments.
  • Refine overarching software architectures to guarantee the continuous reliability of massive data integrations.
  • Analyze iterative algorithmic feedback to proactively enhance the efficiency of deployed artificial intelligence systems.

Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

Resourcesoft is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

For more information about Resourcesoft and our services, please visit our website.

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Jobcon Logo Position Details

Posted:

Jul 24, 2026

Reference Number:

21553-27990

Employment:

Full-time

Salary:

Not Available

City:

Philadelphia

Job Origin:

CIEPAL_ORGANIC_FEED

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Requirements
  • 3 or more years of experience engineering scalable machine learning models utilizing Python and PySpark architectures.
  • Proficiency in developing advanced predictive algorithms utilizing Scikit-learn and deep learning frameworks.
  • Experience with executing complex SQL queries to architect robust data ingestion and transformation pipelines.
  • Experience in deploying models into production environments leveraging Docker and modern MLOps practices.
  • Experience with configuring and deploying advanced local Large Language Models for enterprise applications.
  • Experience in applying rigorous statistical methods, probability theory, and complex algorithm design.
  • Excellent communication skills to articulate experimental performance metrics and architectural strategies.
Responsibilities
  • Architect, train, and deploy sophisticated machine learning and deep learning models for real-world applications.
  • Engineer high-performance data pipelines to automate massive-scale data collection, cleaning, and ingestion.
  • Optimize complex mathematical models systematically to maximize computational speed, scalability, and precision.
  • Execute rigorous experimental evaluations to accurately analyze performance metrics including accuracy, recall, and AUC.
  • Orchestrate seamless model deployment lifecycles by containerizing applications for production environments.
  • Refine overarching software architectures to guarantee the continuous reliability of massive data integrations.
  • Analyze iterative algorithmic feedback to proactively enhance the efficiency of deployed artificial intelligence systems.

Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

Resourcesoft is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

For more information about Resourcesoft and our services, please visit our website.

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