1

Senior Machine Learning Engineer Jobs in Stroudsburg, PA

... Engineering and Platform teams tointegrate ML systems with data infrastructure Requirements * - 3+ years of hands-on ML/AI engineering with demonstratedend-to-end system ownership * - Production ...

New

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... Develop and implement AI and machine learning models using Python and related frameworks. * Design ...

The position requires advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, and various AI platforms. * He collaborates cross-functionally with data ...

Manufacturing Engineer

Budd Lake, NJ · On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ · On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ · On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ · On-site

$80 - $100/hr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

New

next page

Showing results 1-20

Senior Machine Learning Engineer information

See Stroudsburg, PA salary details

$57.2K

$121.7K

$176.4K

How much do senior machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior machine learning engineer in Stroudsburg, PA is $121,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $137,900.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Stroudsburg, PA are hiring for Senior Machine Learning Engineer jobs?

Cities near Stroudsburg, PA with the most Senior Machine Learning Engineer job openings:

Senior AI Machine Learning Engineer

Techsa

Whitehall, PA • On-site

$120 - $190/hr

Other

Posted yesterday

New


Job description

  • - Own ML/AI systems end-to-end: data pipelines, modeltraining, serving infrastructure, monitoring, and iteration
  • - Build LLM-powered applications with custom pipelines,prompt management, evaluation, and optimization
  • - Implement multi-agent orchestration systems usingLangGraph, CrewAI, or AutoGen for autonomous workflows
  • - Build and optimize RAG pipelines using LlamaIndex withchunking strategies, embedding selection, re-ranking, and evaluation
  • - Deploy and manage LLM inference infrastructure using vLLMor Ollama for on-premise sovereign deployments
  • - Build traditional ML scoring models: churn prediction,propensity scoring, LTV estimation, next-best-action
  • - Design and build feature pipelines using Apache Flink(streaming) and Spark (batch) for real-time and batch ML
  • - Implement MLOps practices: model versioning, registry,drift monitoring, A/B testing, and staged rollouts
  • - Design and implement AI operators for visual low-codecanvas (LLM Gateway, RAG Pipeline, Intent Classifier)
  • - Optimize ML inference for latency and throughput at scale(10K+ QPS)
  • - Collaborate with Data Engineering and Platform teams tointegrate ML systems with data infrastructure
Requirements
  • - 3+ years of hands-on ML/AI engineering with demonstratedend-to-end system ownership
  • - Production experience building LLM-powered applications(not just API consumption)
  • - Hands-on experience with agent orchestration: LangGraph,CrewAI, or AutoGen in production
  • - Production RAG experience with evaluation metrics, hybridsearch, and re-ranking strategies
  • - Experience building ML models: churn, propensity, LTV,segmentation, recommendation systems
  • - Hands-on experience with data pipelines: Spark for batch,Flink or Kafka Streams for real-time
  • - Experience with vector databases at scale: OpenSearchk-NN, Qdrant, or Milvus
  • - Real-time ML inference experience at 1,000+ QPS
Good to Have
  • - Experience at AI-first companies or building AI/MLplatforms from scratch
  • - Telco or enterprise data platform background
  • - Experience with LLM fine-tuning: LoRA, QLoRA, PEFTtechniques
  • - Experience with embedding models: sentence-transformers,fine-tuning for domain
  • - Kubernetes for ML workload orchestration and GPUscheduling
  • - Knowledge of PII detection (Presidio) and LLM guardrails(NeMo Guardrails)
#J-18808-Ljbffr