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AI Engineer

Diverse Lynx

Role overview

Qualifications

  • Strong fundamentals in Machine Learning, Deep Learning, and Statistics
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with LLMs and Generative AI frameworks
  • Exposure to Cloud platforms (Azure/AWS/GCP)

Responsibilities

  • Design, build, train, evaluate, and deploy machine learning and deep learning models
  • Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning
  • Perform data preprocessing, feature engineering, and model validation
  • Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes

About the company

Diverse Lynx logo

Diverse Lynx

IT Services & IT Consulting

We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

Role: AI Engineer
Duration: 6 months
Location: Remote
Type : Contract
Pay rate: $60/hr - $70/hr (Depends upon experience)

Job Description:
We are seeking a highly skilled AI Engineer to design, develop, deploy, and scale Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes. The role focuses on applying ML, Deep Learning, and Generative AI capabilities to solve complex enterprise problems and integrate AI solutions into production systems.

Key Responsibilities:
  • Design, build, train, evaluate, and deploy machine learning and deep learning models
  • Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning
  • Perform data preprocessing, feature engineering, and model validation
  • Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes
  • Integrate AI models into microservices and enterprise platforms
  • Collaborate with business and delivery teams to translate requirements into AI use cases
  • Ensure compliance with security, privacy, and responsible AI standards

Required Technical Skills:
  • Strong fundamentals in Machine Learning, Deep Learning, and Statistics
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with LLMs and Generative AI frameworks
  • Exposure to Cloud platforms (Azure/AWS/GCP)
  • Knowledge of APIs, microservices, Docker, Kubernetes

Preferred Skills:
  • Experience in Retail or Enterprise Transformation programs
  • Knowledge of MLOps and Model Governance
  • Exposure to Agile delivery environments

Soft Skills:
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management
  • Continuous learning mindset

Success Metrics:
  • Delivery of scalable, reliable AI solutions
  • Measurable business impact from AI initiatives
  • Strong collaboration with cross-functional teams






Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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