{"id":3205606,"url":"https://alion.io/job/veraxion-ai-engineer","title":"AI Engineer","company":{"id":722518,"name":"Veraxion","domain":"veraxion.com","url":"https://alion.io/company/veraxion","size_band":"51-200","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-24T12:35:45Z","employer_posted_date":null,"last_verified_at":"2026-10-24T12:35:45Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"We are looking for a hands-on AI Engineer with strong experience in building and implementing AI/ML solutions to solve real-world business problems. The ideal candidate should have practical experience developing AI/ML applications, with a strong preference for candidates who have deployed, maintained, or supported solutions in production environments. Candidates with experience in AWS, GCP, or Azure are welcome.\n\nResponsibilities: \nDesign, develop, and implement AI/ML solutions for real-world business use cases.\nBuild and integrate AI/ML models into applications and business workflows.\nDevelop and validate proof-of-concept (POC) solutions and help transition successful implementations into production.\nDeploy, maintain, and support AI/ML solutions in production environments.\nCollaborate with cross-functional teams to identify business requirements and deliver effective AI-driven solutions.\nMonitor and troubleshoot deployed solutions to ensure performance, reliability, and scalability.\nContinuously explore and apply relevant AI/ML techniques to improve solution quality and efficiency.\n\nRequirements: \n3-6 years of relevant experience in AI Engineering, Machine Learning, or AI/ML implementation.\nStrong hands-on experience in developing and implementing AI/ML solutions.\nExperience working on real-world AI/ML use cases.\nExposure to at least one cloud platform: AWS, GCP, or Microsoft Azure.\nUnderstanding of the AI/ML solution development lifecycle, including development, testing, deployment, and maintenance.\nAbility to translate business requirements into practical AI/ML solutions.\n\nPreferred Qualifications: \nExperience building, deploying, or supporting AI/ML solutions in production environments.\nExperience with end-to-end AI/ML implementation, from development and validation to deployment and monitoring.\nExperience transitioning POCs into production-ready solutions.\nPractical experience solving business problems using AI/ML technologies.\nSkills\nAI, AWS, Azure, GCP, ML, deployment, machine learning, 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