{"schemaVersion":"jobsearcher.job.v1","id":"0451cee419e3734627142b02","url":"https://jobsearcher.com/jobs/0451cee419e3734627142b02","canonicalUrl":"https://jobsearcher.com/jobs/0451cee419e3734627142b02","title":"Data Scientist","description":"Role: Sr. Data Scientist\nLocation: Washington-DC, USA\nNature: Day one On-Site\nExperience: 10+ years\nJob Type: Fulltime\n\n*Candidates with Career gap can also apply*\n\nRoles and Responsibilities:\n\nParticipating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions.\nConduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models.\nAbility to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.\nStrong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment.\nAnalyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements.\nPerform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents.\nLead efforts to train and fine-tune language models, ensuring they meet high standards of performance, efficiency, and safety.\nWork on strategies to scale language models, optimizing for efficiency and reducing resource consumption.\nDeploy model in cloud- Azure, AWS, GCP.\n\nPreferred qualifications\n\nExperience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.\nExperience in deploying LLM models in production.\nExperience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc.\nSolid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models.\nProficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models like Llama 2, Falcon LLM.\nStrong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).\nStrong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.\nFamiliarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.\nPrior experience in handling LLM use cases or working with large-scale language models is highly desirable.\nEnsure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.\n\nKrishna |Talent Acquisition Specialist| Triunity Software Inc.\nPhone: 732-784-3793, Extension No:-1005\nEmail: krishna@triunitysoft.com\nW: www.triunitysoft.com","company":"Triunitysoftwareinc","rawCompany":"triunitysoftwareinc","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:34:53.198Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Role: Sr. Data Scientist\nLocation: Washington-DC, USA\nNature: Day one On-Site\nExperience: 10+ years\nJob Type: Fulltime\n\n*Candidates with Career gap can also apply*\n\nRoles and Responsibilities:\n\nParticipating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions.\nConduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models.\nAbility to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.\nStrong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment.\nAnalyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements.\nPerform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents.\nLead efforts to train and fine-tune language models, ensuring they meet high standards of performance, efficiency, and safety.\nWork on strategies to scale language models, optimizing for efficiency and reducing resource consumption.\nDeploy model in cloud- Azure, AWS, GCP.\n\nPreferred qualifications\n\nExperience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.\nExperience in deploying LLM models in production.\nExperience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc.\nSolid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models.\nProficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models like Llama 2, Falcon LLM.\nStrong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).\nStrong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.\nFamiliarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.\nPrior experience in handling LLM use cases or working with large-scale language models is highly desirable.\nEnsure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.\n\nKrishna |Talent Acquisition Specialist| Triunity Software Inc.\nPhone: 732-784-3793, Extension No:-1005\nEmail: krishna@triunitysoft.com\nW: www.triunitysoft.com","datePosted":"2026-04-12T20:34:53.198Z","dateModified":"2026-04-12T20:34:53.198Z","hiringOrganization":{"@type":"Organization","name":"Triunitysoftwareinc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0451cee419e3734627142b02"},"url":"https://jobsearcher.com/jobs/0451cee419e3734627142b02"}}