{"schemaVersion":"jobsearcher.job.v1","id":"88899e7836ebe51051cf7f8a","url":"https://jobsearcher.com/jobs/88899e7836ebe51051cf7f8a","canonicalUrl":"https://jobsearcher.com/jobs/88899e7836ebe51051cf7f8a","title":"Python Gen AI Developer","description":"Overview\nAs a Python Gen AI Developer at NTT DATA, you will design and optimize generative AI models and bring them into production, collaborating with cross-functional teams to align AI solutions with business goals. You will work on frameworks like TensorFlow, PyTorch, or JAX and apply models such as GANs, VAEs, and LLMs to real-world applications. The role emphasizes integrating AI into cloud-based services and APIs, while advancing the AI strategy through hands-on development and experimentation. This is a hands-on, impact-focused position at the intersection of research, engineering, and product delivery.\n\nCompensation / Benefitsremote or hybrid work options\nResponsibilitiesDesign, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX.Research and implement machine learning algorithms and tools.Integrate generative AI models into production systems and applications via APIs, microservices, and cloud platforms (AWS, Azure, GCP).Manage and direct research and development processes to meet AI strategy needs.Develop ML applications aligned with project requirements and business goals.Perform ML tests and statistical analyses to fine-tune systems.Select appropriate datasets and data representations.Extend existing ML libraries and frameworks.Train systems and retrain as necessary.Collaborate with engineering and leadership on design, prototyping, testing, and training of AI/ML solutions.\nKey requirements5+ years of overall experience.3+ years of strong Python coding skills with libraries (NumPy, Pandas).2+ years solid understanding of generative AI models (GANs, VAEs, LLMs).Experience with Neo4J and MongoDB.Experience with Python web frameworks (FastAPI, Flask, Django).Experience in working in a scrum team and familiarity with related ceremonies.Strong communication skills.Experience with Gen AI implementations.Experience with Langchain, Vector DB, Embeddings or related frameworks.Experience with AI/ML model implementations using scikit-learn, TensorFlow, etc.Experience with GCP knowledge.Nice to have: Banking domain, Chat/IVR experience.strong communicationteam collaborationadaptabilityPythonNumPyPandas","company":"NTT Data","rawCompany":"ntt data","city":"Dallas","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-09-15T04:39:50.446Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Gen AI Developer","description":"Overview\nAs a Python Gen AI Developer at NTT DATA, you will design and optimize generative AI models and bring them into production, collaborating with cross-functional teams to align AI solutions with business goals. You will work on frameworks like TensorFlow, PyTorch, or JAX and apply models such as GANs, VAEs, and LLMs to real-world applications. The role emphasizes integrating AI into cloud-based services and APIs, while advancing the AI strategy through hands-on development and experimentation. This is a hands-on, impact-focused position at the intersection of research, engineering, and product delivery.\n\nCompensation / Benefitsremote or hybrid work options\nResponsibilitiesDesign, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX.Research and implement machine learning algorithms and tools.Integrate generative AI models into production systems and applications via APIs, microservices, and cloud platforms (AWS, Azure, GCP).Manage and direct research and development processes to meet AI strategy needs.Develop ML applications aligned with project requirements and business goals.Perform ML tests and statistical analyses to fine-tune systems.Select appropriate datasets and data representations.Extend existing ML libraries and frameworks.Train systems and retrain as necessary.Collaborate with engineering and leadership on design, prototyping, testing, and training of AI/ML solutions.\nKey requirements5+ years of overall experience.3+ years of strong Python coding skills with libraries (NumPy, Pandas).2+ years solid understanding of generative AI models (GANs, VAEs, LLMs).Experience with Neo4J and MongoDB.Experience with Python web frameworks (FastAPI, Flask, Django).Experience in working in a scrum team and familiarity with related ceremonies.Strong communication skills.Experience with Gen AI implementations.Experience with Langchain, Vector DB, Embeddings or related frameworks.Experience with AI/ML model implementations using scikit-learn, TensorFlow, etc.Experience with GCP knowledge.Nice to have: Banking domain, Chat/IVR experience.strong communicationteam collaborationadaptabilityPythonNumPyPandas","datePosted":"2026-09-15T04:39:50.446Z","dateModified":"2026-09-15T04:39:50.446Z","hiringOrganization":{"@type":"Organization","name":"NTT Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"88899e7836ebe51051cf7f8a"},"url":"https://jobsearcher.com/jobs/88899e7836ebe51051cf7f8a"}}