{"id":3410686,"url":"https://alion.io/job/samsung-electronics-ai-ml-engineer","title":"AI / ML Engineer","company":{"id":166,"name":"Samsung Electronics","domain":"samsung.com","url":"https://alion.io/company/samsung","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":130,"ghost_share":0.008,"stale_share":0.615,"repost_share":0.023,"time_to_fill_p50_days":34,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Oracle","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-28T17:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-28T17:35:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for a skilled AI/ML Engineer with hands-on experience in machine learning, statistical modeling, generative AI, and production deployment. The ideal candidate should be proficient in Python, LLMs, RAG, AI agents, and MLOps, with the ability to develop scalable AI solutions that deliver measurable business outcomes.\n\nResponsibilities: \nDevelop and deploy machine learning models for regression, classification, forecasting, and anomaly detection.\nBuild AI/ML solutions using Python, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.\nDevelop Generative AI applications using LLMs, RAG, prompt engineering, tool calling, and agent workflows.\nOptimize models and AI applications for accuracy, cost, latency, and scalability.\nUse AI coding tools such as Claude Code, Cursor, or similar tools to improve development productivity.\nWork with SQL databases, including PostgreSQL, SQL Server, or Oracle.\nDeploy and monitor AI/ML models using Git, CI/CD, Docker, Kubernetes, and cloud platforms, preferably AWS.\nIntegrate AI solutions with business applications, APIs, and enterprise systems.\nConduct code reviews, mentor junior engineers, and establish engineering best practices.\nCollaborate with senior stakeholders on requirements gathering, effort estimation, project tracking, and status reporting.\nFollow AI governance, data privacy, security, and responsible AI practices.\n\nRequirements: \nSkills include Python, Pandas, NumPy, and Scikit-learn.\nMachine learning and statistical modeling expertise.\nExperience with generative AI, LLMs, RAG, and prompt engineering.\nExperience with AI agents, tool calling, and agent workflows.\nProficiency in TensorFlow or PyTorch.\nSQL and relational database experience.\nMLOps, Git, CI/CD, Docker, and production deployment experience.\nHands-on experience deploying real-world AI/ML solutions.\n\nNice To Have: \nAWS cloud services experience.\nExperience with MCP servers and agentic tooling.\nFamiliarity with Claude Code, Cursor, or similar AI coding tools.\nExperience with Kubernetes and model monitoring.\nTechnical leadership and stakeholder management experience.\nProven experience in production AI/ML deployments, measurable business outcomes, and end-to-end generative AI application development.\nSkills\nGenerative AI, LLM, Large Language Model, ML, Machine Learning, Python, RAG, Retrieval-Augmented Generation, Statistical Modeling","description_format":"text","description_chars":2386,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Smartphones","Televisions","Semiconductor Manufacturing","Displays & Panel Technology"],"lifecycle":[{"event":"open","at":"2026-10-28T17:35:00Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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