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Machine Learning EngineerDiverse LynxUnited States
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Machine Learning Engineer

Diverse Lynx
  • US
    United States
  • US
    United States

Über

Role
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Machine Learning Engineer Location
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New York / Dallas, TX (Need Only local candidates) Exp need - 8+ years
Local to NY/NJ or Dallas only!
Job Description
1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows. 3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution). 4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude). 5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions. 6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. 7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).
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.
  • United States

Sprachkenntnisse

  • English
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