{"id":1999048,"url":"https://alion.io/job/hcltech-senior-technical-specialist-40","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-07T10:19:21Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T19:56:02Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Summary\nGENERAL DESCRIPTION\nWe are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.\nKey Responsibilities\nEY FEATURES OF THE POSITION\nFunctional / Technical\nDevelop, deploy, and optimize machine learning and AI solutions that address complex business challenges.\nCreate multi-agent systems and equip AI models with function/tool-calling capabilities\nDesign and implement RAG systems to ground AI responses in enterprise data\nAssess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability\nOptimize agentic workflows and AI agents for production use cases\nTesting and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs\nPerformance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them\nCollaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes\nParticipate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions\nSkill Requirements\nompetencies\nStrong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges\nExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization\nAbility to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule\nContinuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence\nAttention to detail and commitment to producing high-quality, reliable, and maintainable code\nEducation and skills requirements\nBachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field\nStrong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch\nProven experience working with Large Language Models (LLMs)\nGood understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns\nExperience with data preprocessing, feature engineering, and model selection and evaluation techniques\nKnowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization\nUnderstanding software development best practices, including version control, testing, and documentation\nExcellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively\nMinimum 6-9 years of relevant work experience in machine learning, data science or a related field\nOther 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