{"id":111315,"url":"https://alion.io/job/accenture-llmgenai-engineer","title":"AI/ML Computational Scientist","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2096,"ghost_share":0.001,"stale_share":0.146,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riga, Latvia"],"countries":["LV"],"hiring_countries":["LV"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-30T08:23:55Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":100},"description":"Apply for a highly demanded new age job - a Data Scientist/ GenAI LLM Engineer. Be part of Accenture team working in Latvia and delivering projects to world leaders in various fields, like TV & Entertainment, Telecommunication, Finances, Insurance, Industry, Logistic & Supply Chain, and others.\nWorking at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information.\nAs an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients.\nWhat we offer:\nCompensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. The range of base pay for this role is:\nAssociate Manager - 2333 - 6200\nSpecialist - 1900- 4700\nSenior Analyst - 1700 - 3400\nAnalyst - 1400 - 2800\n\nFlexible vacation + health & travel insurance + relocation\n\nHybrid work model: flexible hours with the possibility to combine office and remote work\n\nYour responsibilities will include:\nWork with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing\n\nCI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.\n\nDesign prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.\n\nResearch, design, build, and train innovative applications of LLMs to solve complex real-world problems.\n\nProvide technical guidance to clients adopting LLM technologies.\n\nWork with Fortune 500 companies from different industries all over the world\n\nSkills development and training opportunities, company-paid certifications\n\nOpportunities to advance career\n\nAn open-minded and inclusive company culture\n\nEDUCATION\nBachelor's Degree or equivalent\n\nBASIC (REQUIRED) QUALIFICATION\nProven experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.\n\nExperience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming\n\nHands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks\n\nExperience in building and deploying AI/ML based software to a cloud environment.\n\nPREFERRED QUALIFICATION\nProficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..\n\nExperience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.\n\nExperience with the following programming languages: Python, C++, Java, R, SQL\n\nStrong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders\n\nStrong client-facing skillsets in a consulting environment\n\nStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams\n\nEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation\n\nMS or PhD in related field preferred (computer science, engineering, etc.)\n\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.","description_format":"text","description_chars":5535,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Latvia","iso":"LV","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Business Process Outsourcing (BPO)","Management 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