{"id":3451599,"url":"https://alion.io/job/xfusion-digital-technologies-ai-solutions-engineer","title":"AI Solutions Engineer","company":{"id":59237,"name":"xFusion Digital Technologies","domain":"xfusion.com","url":"https://alion.io/company/xfusion-digital-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5500,"max":6800,"currency":"SGD","period":"month","gross":true,"usd_annual":63624},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"GDPR","optional":true}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-29T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"We are seeking a highly skilled AI Solutions Engineer to join our team in Singapore. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI models into real-world applications, ensuring scalability, efficiency, and business impact.\n\nKey Responsibilities\n· Design, develop, and deploy large language models (LLMs) to meet business needs.\n· Work closely with stakeholders to understand requirements and translate them into AI-driven solutions.\n· Optimize and fine-tune existing AI models for performance and scalability.\n· Stay updated with the latest advancements in AI, data, and LLM technologies.\n· Lead AI projects from concept to deployment, ensuring best practices in data security and ethical AI.\n· Provide technical guidance to teams on AI-related initiatives.\n· Evaluate and integrate third-party AI tools and frameworks when necessary.\n· Document AI models, workflows, and processes for knowledge sharing.\n\nSkills & Qualifications\nMust-Have:\n· Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields.\n· Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.\n· Experience with NLP, Computer Vision, or Generative AI (e.g., LLMs, GANs).\n· Knowledge of cloud AI services (e.g., AWS SageMaker, Google Vertex AI, Azure ML).\n· Solid understanding of data preprocessing, feature engineering, and model evaluation.\n· Experience with MLOps and AI model deployment pipelines (Docker, Kubernetes, CI/CD).\n· Strong problem-solving skills and ability to work in a fast-paced environment.\nGood-to-Have:\n· Experience in AI consulting or solution architecture.\n· Familiarity with data and AI technologies.\n· Knowledge of ethical AI and regulatory compliance (e.g., PDPA, GDPR).\nSkills\nTensorFlow, Scalability, Kubernetes, Regulatory Compliance, Pipelines, SageMaker, Computer Vision, Product Management, PyTorch, Solution Architecture, Python, Vertex, Docker, Data Science, 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