{"id":2495587,"url":"https://alion.io/job/ntt-data-romania-ai-engineer-python","title":"AI Engineer (Python)","company":{"id":4401319,"name":"NTT DATA Romania","domain":"nttdata.ro","url":"https://alion.io/company/nttdata-ro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brașov, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-14T04:22:27Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T14:29:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who we are\nWe are looking for Artificial Intelligence Engineering Experts to lead the design, industrialization, and continuous improvement of production AI capabilities for our platform. The role will provide deep hands-on expertise across machine learning, generative AI, data and model pipelines, evaluation, deployment, MLOps or LLMOps, observability, security, and operational reliability.\nThe experts will work with Product, Architecture, Data, Engineering, Cybersecurity, Compliance, Quality Assurance, DevOps, and business stakeholders to identify viable use cases and convert experimentation into governed, measurable, maintainable services. They will establish technical standards, challenge weak assumptions, manage AI-specific risks, and mentor teams in sound engineering and scientific practices.\nWhat you'll be doing\nAssess proposed AI use cases for technical feasibility, data readiness, expected value, operational constraints, risk, and appropriate build, buy, or reuse options\nDefine AI engineering reference architectures, reusable components, lifecycle standards, guardrails, and decision criteria for machine-learning and generative-AI solutions\nLead solution design across data preparation, feature or context engineering, model selection, experimentation, training or fine-tuning, evaluation, serving, integration, and monitoring\nDevelop and optimize production AI components, including predictive models, retrieval pipelines, embeddings, vector search, generative workflows, tool use, and agentic orchestration where justified\nEstablish reproducible experimentation, source control, dataset and model versioning, metadata capture, benchmark management, and clear promotion criteria\nDesign and implement MLOps or LLMOps pipelines for automated testing, packaging, security checks, deployment, rollback, model or prompt promotion, and environment consistency\nCreate rigorous evaluation frameworks covering task performance, robustness, groundedness, hallucination, safety, bias, explainability, latency, scalability, and cost as applicable\nDefine production monitoring for model and data quality, drift, usage, errors, safety events, service performance, resource consumption, and business outcomes\nApply security, privacy, responsible-AI, and regulatory-by-design controls, including data minimization, access control, provenance, human oversight, misuse prevention, and auditable records\nLead technical reviews, proofs of value, architecture decisions, technology assessments, and root-cause analyses for material AI incidents or performance degradation\nCollaborate with application engineers to expose AI capabilities through reliable APIs, services, event flows, and user experiences with appropriate fallback behavior\nDocument data assumptions, model choices, experiments, limitations, evaluation evidence, dependencies, operational procedures, risks, and technical decisions\nMentor AI, data, and software engineers, promote knowledge sharing, and raise engineering maturity across delivery teams\nTrack relevant AI engineering developments and recommend adoption only when evidence demonstrates value, feasibility, and acceptable risk\nWhat you'll bring along\nDeep knowledge of machine-learning engineering, model development lifecycles, statistics, supervised and unsupervised learning, deep learning, and production inference\nStrong hands-on Python experience and familiarity with frameworks such as scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent technologies\nAdvanced understanding of generative-AI engineering, large language models, embeddings, retrieval-augmented generation, vector stores, prompt or context engineering, tool calling, and agent orchestration\nExperience with data preparation, feature engineering, data quality, lineage, distributed processing, SQL or NoSQL stores, and secure access to enterprise information\nExperience with MLOps or LLMOps practices, experiment tracking, model registries, pipeline orchestration, containerization, cloud AI services, and automated deployment\nStrong knowledge of model evaluation, benchmarking, error analysis, drift detection, explainability, robustness, safety testing, and human-in-the-loop validation\nUnderstanding of AI security, privacy, responsible-AI, governance, intellectual-property, and regulatory control considerations\nAbility to design reliable distributed services, APIs, batch or streaming pipelines, observability, capacity models, and production-support processes for AI workloads\nStrong scientific reasoning, systems thinking, technical leadership, documentation, and communication skills\nAbility to explain complex AI trade-offs to engineering, product, risk, compliance, and executive stakeholders\nProfessional working proficiency in English to understand technical and scientific documentation and communicate effectively with international teams\nProven expert-level track record designing, delivering, and operating production machine-learning or generative-AI systems\nExperience working with AI assistant platforms and CLI tools\nDemonstrable ability to move from experimentation to reliable, monitored, secure, and maintainable production services\nExperience providing technical leadership across data, AI, Agent development, software engineering, architecture, platform, security, and governance stakeholders\nStrong hands-on engineering capability; profiles limited to research, strategy, or demonstrations without production ownership will not be sufficient\nAbility to make evidence-based decisions under uncertainty and to define measurable acceptance and operational criteria for AI behavior\nProactive, rigorous, collaborative, and continuous-improvement mindset with strong ownership of AI quality and operational risk\nRelevant AI, machine-learning, cloud, data, security, or architecture certifications are desirable but not mandatory","description_format":"text","description_chars":5865,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T04:22:27Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":19,"reasons":["conf:2","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-romania-ai-engineer-python","json_url":"https://alion.io/job/ntt-data-romania-ai-engineer-python.json","meta":{"generated_at":"2026-10-14T21:19:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28443,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4401319},"rest":"https://alion.io/mcp/rest/get_company?id=4401319"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-romania-ai-engineer-python"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fntt-data-romania-ai-engineer-python"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fntt-data-romania-ai-engineer-python"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ntt-data-romania-ai-engineer-python\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-romania-ai-engineer-python"}]}