{"schemaVersion":"jobsearcher.job.v1","id":"ed4eeb5a05c2e16000c86dc7","url":"https://jobsearcher.com/jobs/ed4eeb5a05c2e16000c86dc7","canonicalUrl":"https://jobsearcher.com/jobs/ed4eeb5a05c2e16000c86dc7","title":"AI/ML Developer","description":"We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery—it is about shaping how AI is built, shared, and scaled across the company.\r\nAs part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators —reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.\r\nA second core dimension of the role is knowledge leadership . Strategic hires will actively contribute to internal knowledge-sharing initiatives : technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction.\r\nIn addition, members of this group will act as AI project jumpstarters , joining new client engagements for up to 50% allocation over 1-2 months . In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.\r\nProject Description We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.\r\nTechnologies Python\r\nGit, CI/CD practices for ML and data pipelines\r\nPyTorch, TensorFlow\r\nMLflow\r\nLLMs and NLP tasks\r\nGenerative AI concepts\r\nQdrant, Pinecone, Weaviate, FAISS or similar\r\nRNNs, Transformers\r\nDataset labeling, annotation tools (e.g., Label Studio, CVAT)\r\nYOLO, SDD\r\nImage Classification\r\nWhat You'll Do Lead the design, development, and deployment of scalable ML services;\r\nArchitect and implement AI/ML solutions, ensuring model quality, governance, and security;\r\nOptimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);\r\nCollaborate with data scientists, analysts, and business stakeholders to understand ML requirements;\r\nMentor and guide junior engineers, promoting best practices in ML engineering;\r\nDevelop and maintain documentation, ML models, and technical standards;\r\nMonitor, troubleshoot, and resolve issues in production for ML pipelines and environments;\r\nStay up-to-date with emerging trends and technologies in AI/ML field;\r\nJob Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field;\r\n5+ years of experience in ML engineering, with at least 1 year of hands-on experience with LLMs;\r\nStrong proficiency in Python;\r\nExperience with cloud data platforms (AWS and/or Azure);\r\nFamiliarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;\r\nExperience with data governance, security, and compliance in cloud environments;\r\nExcellent problem-solving, communication, and leadership skills;\r\nEnglish: Upper Intermediate level or higher;\r\nWhat Do We Offer The global benefits package includes\r\nTechnical and non-technical training for professional and personal growth;\r\nInternal conferences and meetups to learn from industry experts;\r\nSupport and mentorship from an experienced employee to help you professional grow and development;\r\nInternal startup incubator;\r\nHealth insurance;\r\nSports activities to promote a healthy lifestyle;\r\nFlexible work options, including remote and hybrid opportunities;\r\nReferral program for bringing in new talent;\r\nWork anniversary program and additional vacation days.\r\nJ-18808-Ljbffr","company":"Coherent Solutions","rawCompany":"coherent solutions","city":"Poland","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:42:38.799Z","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":"AI/ML Developer","description":"We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery—it is about shaping how AI is built, shared, and scaled across the company.\r\nAs part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators —reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.\r\nA second core dimension of the role is knowledge leadership . Strategic hires will actively contribute to internal knowledge-sharing initiatives : technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction.\r\nIn addition, members of this group will act as AI project jumpstarters , joining new client engagements for up to 50% allocation over 1-2 months . In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.\r\nProject Description We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.\r\nTechnologies Python\r\nGit, CI/CD practices for ML and data pipelines\r\nPyTorch, TensorFlow\r\nMLflow\r\nLLMs and NLP tasks\r\nGenerative AI concepts\r\nQdrant, Pinecone, Weaviate, FAISS or similar\r\nRNNs, Transformers\r\nDataset labeling, annotation tools (e.g., Label Studio, CVAT)\r\nYOLO, SDD\r\nImage Classification\r\nWhat You'll Do Lead the design, development, and deployment of scalable ML services;\r\nArchitect and implement AI/ML solutions, ensuring model quality, governance, and security;\r\nOptimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);\r\nCollaborate with data scientists, analysts, and business stakeholders to understand ML requirements;\r\nMentor and guide junior engineers, promoting best practices in ML engineering;\r\nDevelop and maintain documentation, ML models, and technical standards;\r\nMonitor, troubleshoot, and resolve issues in production for ML pipelines and environments;\r\nStay up-to-date with emerging trends and technologies in AI/ML field;\r\nJob Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field;\r\n5+ years of experience in ML engineering, with at least 1 year of hands-on experience with LLMs;\r\nStrong proficiency in Python;\r\nExperience with cloud data platforms (AWS and/or Azure);\r\nFamiliarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;\r\nExperience with data governance, security, and compliance in cloud environments;\r\nExcellent problem-solving, communication, and leadership skills;\r\nEnglish: Upper Intermediate level or higher;\r\nWhat Do We Offer The global benefits package includes\r\nTechnical and non-technical training for professional and personal growth;\r\nInternal conferences and meetups to learn from industry experts;\r\nSupport and mentorship from an experienced employee to help you professional grow and development;\r\nInternal startup incubator;\r\nHealth insurance;\r\nSports activities to promote a healthy lifestyle;\r\nFlexible work options, including remote and hybrid opportunities;\r\nReferral program for bringing in new talent;\r\nWork anniversary program and additional vacation days.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:42:38.799Z","dateModified":"2026-07-04T02:42:38.799Z","hiringOrganization":{"@type":"Organization","name":"Coherent Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ed4eeb5a05c2e16000c86dc7"},"url":"https://jobsearcher.com/jobs/ed4eeb5a05c2e16000c86dc7"}}