{"id":2889817,"url":"https://alion.io/job/com7-ai-engineer","title":"AI Engineer","company":{"id":3813860,"name":"COM7","domain":"comsevencareer.com","url":"https://alion.io/company/comsevencareer","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bangkok, Thailand"],"countries":["TH"],"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-20T01:27:34Z","employer_posted_date":null,"last_verified_at":"2026-10-20T01:27:34Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a hands-on AI Engineer with strong Machine Learning and Generative AI capabilities who can deliver reliable, scalable, and production-ready AI solutions. The ideal candidate should be able to work across the full AI lifecycle, take ownership of assigned initiatives, collaborate with cross-functional teams, and drive solutions from problem definition through production implementation.Key Responsibilities· Design, develop, train, evaluate, and optimize Machine Learning and AI models for business use cases.· Prepare, transform, and analyze structured and unstructured data for model development and AI applications.· Develop AI solutions using Machine Learning, Deep Learning, Predictive Analytics, NLP, Generative AI, and other relevant technologies.· Build Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Agentic Workflows.· Design and optimize retrieval pipelines, including embeddings, vector databases, vector search, reranking, and context optimization.· Integrate AI solutions with internal systems, databases, APIs, microservices, and third-party services.· Deploy and operate AI/ML solutions in cloud or enterprise environments and support production implementation.· Apply MLOps and LLMOps practices, including model deployment, monitoring, testing, retraining, versioning, and lifecycle management.· Translate business requirements and operational challenges into practical and scalable AI/ML solution designs.· Take ownership of assigned AI initiatives from problem framing and solution design through development, deployment, monitoring, and continuous improvement.· Collaborate with business stakeholders, Data Engineering, Infrastructure, and other cross-functional teams to design, integrate, and deliver AI solutions.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Statistics, Mathematics, or a related field.\n\n 4+ years of relevant experience in Machine Learning, Data Science, or related roles, including at least 2 years of hands-on experience in AI Engineering, Generative AI, or Large Language Model (LLM) applications.\n\nStrong programming skills in Python and SQL.\n\nHands-on experience developing Machine Learning solutions, including data preparation, feature engineering, model selection, training, validation, evaluation, and deployment.\n\nPractical experience with Machine Learning and Deep Learning frameworks and architectures such as Scikit-learn, PyTorch, TensorFlow, Transformer architectures, or similar technologies.\n\nStrong understanding of Machine Learning, Statistics, Model Evaluation, and Model Validation.\n\nPractical experience with LLMs, RAG, Prompt Engineering, vector databases, and Generative AI applications.\n\nExperience deploying AI/ML solutions in cloud environments such as AWS, Azure, or Google Cloud Platform.\n\n Ability to collaborate with business and technology teams to design and implement practical AI/ML solutions.\nBenefits\nสวัสดิการ1.วันหยุดพักผ่อนประจำปี (พักร้อน)2.วันหยุดสำหรับกิจธุระ (ลากิจ)3.วันหยุดประจำปี4.ประกันสุขภาพกลุ่ม (IPD / OPD / อุบัติเหตุ)5.กองทุนสำรองเลี้ยงชีพ6.ประกันสังคมและกองทุนเงินทดแทน7.โบนัส และปรับเงินเดือนประจำปี8.เงินช่วยเหลือครอบครัวกรณีต่างๆ เช่น (มงคลสมรส / คลอดบุตร / อุปสมบท / เยี่ยมไข้ / ฌาปนกิจ)9.กิจกรรมเสริมสร้างความสัมพันธ์ประจำปี ( งานเลี้ยงประจำปี / กิจกรรมตามวันสำคัญต่างๆ )10.ตรวจสุขภาพประจำปี11.ห้องออกกำลังกาย (Fitness) สำหรับพนักงาน12.สนามฟุตซอลสำหรับพนักงาน13.ห้องละหมาดสำหรับพนักงานอิสลาม14.ห้องพยาบาลและอุปกรณ์ปฐมพยาบาล15.พนักงานทุกระดับมีการอบรมเพื่อพัฒนาความรู้และเสริมศักยภาพตลอดทั้งปี16.Commission และ Incentive (เฉพาะตำแหน่ง)17.ค่าเดินทาง และเบี้ยเลี้ยง (กรณีเดินทางไปปฏิบัติงานนอกสถานที่)18.เสื้อฟอร์มพนักงาน (ประจำสาขา)19.ซื้อสินค้าราคาพิเศษสำหรับพนักงาน20.สวัสดิการเงินกู้ยืมเพื่อที่อยู่อาศัยกับ 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