{"schemaVersion":"jobsearcher.job.v1","id":"5f803b2ce4529a0bee907255","url":"https://jobsearcher.com/jobs/5f803b2ce4529a0bee907255","canonicalUrl":"https://jobsearcher.com/jobs/5f803b2ce4529a0bee907255","title":"Software Engineer","description":"AI/ML Engineer — Job DescriptionContract type: W2About the RoleSoft Standard Solutions is a leading staffing and consulting firm, specializing in connecting skilled IT professionals with top clients across the US and helping candidates secure strong, long-term placements. We are currently hiring a Software Engineer with good experience in Python development and Machine Learning for one of our esteemed clients. This is a great opportunity for someone who enjoys building scalable software while applying ML techniques to solve real-world problems, with the added support of our placement and career guidance services throughout the process.Roles & ResponsibilitiesDesign, develop, and deploy machine learning models for real-world business use casesPerform data collection, preprocessing, feature engineering, and exploratory data analysisTrain, evaluate, and fine-tune ML/DL models for accuracy, performance, and scalabilityBuild and deploy AI/ML pipelines into production environmentsWork with NLP, Computer Vision, or Generative AI/LLM use cases as applicableIntegrate ML models into applications via APIs and microservicesCollaborate with data engineers, software developers, and product teams to deliver AI-driven solutionsMonitor deployed models for performance, drift, and retraining needs (MLOps)Conduct experiments, A/B testing, and document model performance and findingsStay current with emerging AI/ML trends, tools, and researchRequired SkillsetCore: Python, Statistics, Data Structures & AlgorithmsML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, KerasData Handling: Pandas, NumPy, SQL, Data Preprocessing, Feature EngineeringSpecializations: NLP, Computer Vision, Generative AI/LLMs (as applicable)MLOps & Deployment: MLflow, Docker, Kubernetes, Model Serving (Flask/FastAPI)Cloud Platforms: AWS/Azure/GCP (SageMaker, Azure ML, Vertex AI)Other: Git, Jupyter Notebooks, Agile/Scrum, Model Evaluation Metrics","company":"Softstandard Solutions","rawCompany":"softstandard solutions","city":"Everett","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-10-11T03:25:47.435Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer","description":"AI/ML Engineer — Job DescriptionContract type: W2About the RoleSoft Standard Solutions is a leading staffing and consulting firm, specializing in connecting skilled IT professionals with top clients across the US and helping candidates secure strong, long-term placements. We are currently hiring a Software Engineer with good experience in Python development and Machine Learning for one of our esteemed clients. This is a great opportunity for someone who enjoys building scalable software while applying ML techniques to solve real-world problems, with the added support of our placement and career guidance services throughout the process.Roles & ResponsibilitiesDesign, develop, and deploy machine learning models for real-world business use casesPerform data collection, preprocessing, feature engineering, and exploratory data analysisTrain, evaluate, and fine-tune ML/DL models for accuracy, performance, and scalabilityBuild and deploy AI/ML pipelines into production environmentsWork with NLP, Computer Vision, or Generative AI/LLM use cases as applicableIntegrate ML models into applications via APIs and microservicesCollaborate with data engineers, software developers, and product teams to deliver AI-driven solutionsMonitor deployed models for performance, drift, and retraining needs (MLOps)Conduct experiments, A/B testing, and document model performance and findingsStay current with emerging AI/ML trends, tools, and researchRequired SkillsetCore: Python, Statistics, Data Structures & AlgorithmsML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, KerasData Handling: Pandas, NumPy, SQL, Data Preprocessing, Feature EngineeringSpecializations: NLP, Computer Vision, Generative AI/LLMs (as applicable)MLOps & Deployment: MLflow, Docker, Kubernetes, Model Serving (Flask/FastAPI)Cloud Platforms: AWS/Azure/GCP (SageMaker, Azure ML, Vertex AI)Other: Git, Jupyter Notebooks, Agile/Scrum, Model Evaluation Metrics","datePosted":"2026-10-11T03:25:47.435Z","dateModified":"2026-10-11T03:25:47.435Z","hiringOrganization":{"@type":"Organization","name":"Softstandard Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Everett","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5f803b2ce4529a0bee907255"},"url":"https://jobsearcher.com/jobs/5f803b2ce4529a0bee907255"}}