{"id":1135935,"url":"https://alion.io/job/skan-ai-ai-engineer","title":"AI Engineer","company":{"id":63247,"name":"Skan AI","domain":"skan.ai","url":"https://alion.io/company/skan-ai","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Keka","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"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":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Function Calling","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-23T07:15:28Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T11:04:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"AI Engineer\nAbout Skan AI\nBe at the Forefront of the Agentic AI Revolution\nAt Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.\nWhy Skan AI\nWe're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.\nBacked by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.\nOur diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.\nWho are we looking for\nWe are looking for an AI Engineer with exceptional problem-solving skills and a strong foundation in classical algorithms, data science, machine learning and deep learning to join our core Data Science team. You will design, build, and optimize AI/ML systems that analyze massive volumes of sequential event data captured from enterprise desktop activity, turning raw interaction streams into structured process understanding, variant analysis, and actionable operational insights.\nKey Responsibilities\nTackle complex, open-ended problems where business processes must be reverse-engineered from noisy, incomplete, and high-volume event streams; there is no textbook answer -- you define the approach.\nDesign efficient algorithms for process discovery at scale, handling billions of events, millions of unique traces, and thousands of activity variants while maintaining sub-second query performance.\nDesign and implement models for mining, clustering, and classifying sequential activity data (event logs, user interaction sequences, clickstreams) at enterprise scale.\nBuild ML models to classify and label user activities from raw desktop observation data (screenshots, UI metadata, application events) using computer vision and NLP. \nTrain, evaluate, and deploy models including sequence-to-sequence architectures (Transformers, LSTMs, HMMs), graph neural networks and clustering algorithms for process pattern recognition.\nApply techniques from temporal data mining, e.g., sequential pattern mining, episode mining, and time-series analysis to extract insights from event streams.\nLeverage LLMs and generative AI for intelligent summarization, anomaly explanation, and natural-language querying of process data.\nDebug and reason through edge cases in complex data pipelines where subtle algorithmic errors can cascade into incorrect process maps affecting enterprise decisions.\nPartner with product, UX, and customer-facing teams to translate business process challenges into well-defined algorithmic and ML problem statements.\nContribute to Skan's agentic AI capabilities, building models that not only discover inefficiencies but recommend and orchestrate automated actions.\nStay current with advances in AI. Research and experiment with state-of-the-art AI techniques to improve existing models and integrate cutting-edge techniques into production systems.\nQualifications & Skills\nRequired:\nBachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.\nExceptional problem-solving ability: You excel at breaking down ambiguous, complex problems into tractable sub-problems and designing clean algorithmic solutions. \nStrong proficiency in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and SQL.\nDeep understanding of data structures, algorithms, and optimization techniques.\nExperience with data engineering, feature extraction, and model evaluation.\nKnowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.).\nFamiliarity with graph algorithms and graph-based modeling (traversal, shortest path, community detection, graph neural networks).\nExperience with LLMs and knowledge of multi-modal AI (text, image).\nHands-on experience building and deploying ML/AI models or algorithm-heavy systems in production.\nNice to Have:\nStrong performance in competitive programming, algorithmic challenges, or systems design interviews is a signal we value.\nFamiliarity with process mining concepts, event logs, process discovery algorithms, conformance checking, and variant analysis. Experience with PM4Py, ProM, or similar tools is a plus.\nKnowledge of cloud computing (AWS, GCP, Azure) and MLOps tools.\nFamiliarity with agentic AI frameworks and LLM-based tool-use patterns (LangChain, function calling, RAG pipelines).","description_format":"text","description_chars":5138,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Automation (BPA)","Analytics Platforms","Computer Vision","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-09-23T08:04:22Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":63,"reasons":["conf:3","win:early"],"computed_at":"2026-09-23T14:16:10Z"},"pay":null,"html_url":"https://alion.io/job/skan-ai-ai-engineer","json_url":"https://alion.io/job/skan-ai-ai-engineer.json","meta":{"generated_at":"2026-09-23T14:16:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}