{"id":2340296,"url":"https://alion.io/job/g-able-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":49532,"name":"G-Able","domain":"g-able.com","url":"https://alion.io/company/g-able","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"RLHF","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-12T11:11:36Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T11:11:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Welcome!\nResponsibilities:Design and develop scalable, flexible, and efficient data pipelines for data preparation, feature extraction, training, and inference, integrated with the AI Platform.\nImplement MLOps practices to support the model lifecycle, including data versioning, model tracking, CI/CD pipelines, deployment, and monitoring.\nResearch and select appropriate Cloud and AI-related services (e.g., LLMs, image processing, document processing) tailored to specific use cases.\nDevelop AI solutions that reduce the need for frequent retraining of Foundation Models by applying advanced techniques such as RLHF.\nRegularly audit AI models for security, reliability, stability, and accuracy.\nCreate and manage technical documentation, user guides, and operational guidelines for AI system maintenance.\nReview and enhance code quality, integration testing, and collaborate with QA to maintain system stability.\nCollaborate with Application, Data Platform, and Product teams to integrate AI solutions into existing systems.\nStay up to date with emerging technologies in AI, MLOps, Cloud, DevOps, and industry best practices.\nEvaluate third-party tools, frameworks, and platforms to enhance AI development efficiency.\nSupport internal teams and clients in understanding and adopting the AI Platform.\nQualifications:\nBachelor's or Master’s in Computer Science, Artificial Intelligence, or a related field.\nExtensive experience in designing AI applications and knowledge of machine learning frameworks like Tensor Flow or PyTorch.\nProven ability to lead and manage projects with cross-functional teams.\nStrong communication skills to effectively collaborate with various stakeholders.\nCritical thinking and problem-solving skills are essential.\nExperience with ethical AI practices and ensuring compliance with data protection regulations.\nAt least 2-5 years of experience in AI work.\nGrowth with Tech leader company. 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