{"id":133165,"url":"https://alion.io/job/avathon-ai-scientist-transportation-logistics","title":"AI Scientist – Transportation & Logistics","company":{"id":1894,"name":"Avathon","domain":"avathon.com","url":"https://alion.io/company/avathon","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":90,"open_postings":28,"ghost_share":0,"stale_share":0.214,"repost_share":0,"time_to_fill_p50_days":89,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","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":26000,"max_usd":53000,"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":"Computer Vision","optional":false},{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-12T11:34:35Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-12T15:47:43Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":122},"description":"Who We Are & Why Join Us\nAvathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.\nCutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.\nLearn more at: avathon.com\nAbout the Role\nAbout Avathon\nWe’re hiring a AI Scientist (Transportation & Logistics) at Avathon - where AI meets the real world.\nThis is a high-impact role at the intersection of operations research, reinforcement learning, and large-scale data systems, focused on building intelligent solutions that transform transportation and logistics networks.\nWe are looking for an experienced AI Scientist to lead the design and deployment of advanced optimization and machine learning systems across complex transportation ecosystems. You will work on real-world challenges such as routing, scheduling, network optimization, demand forecasting, and asset utilization across multimodal logistics environments including FCL, LCL, FTL, LTL, intermodal, and maritime transportation.\nThis role offers the opportunity to drive innovation in vessel scheduling, container repositioning, fleet optimization, and dynamic routing, while collaborating closely with engineering, product, and operations teams to bring scalable AI solutions into production.\nKey Responsibilities \nAI/ML Model Development \nDesign and implement advanced models for: \nFleet optimization and capacity planning \nVehicle routing and scheduling (VRP, TSP variants) \nDemand forecasting and optimization \nApply reinforcement learning, optimization algorithms, and hybrid ML + OR approaches \nTransportation Domain Solutions \nBuild solutions for: \nMaritime logistics (vessel scheduling, port operations) \nContainer repositioning and imbalance optimization \nTruckload (FTL), less-than-truckload (LTL), and intermodal routing \nIncorporate real-world constraints (time windows, capacity, regulations, SLAs) \nAI Engineering & Deployment \nProductionize models using scalable architectures (cloud-native, APIs) \nCollaborate with engineering teams to deploy AI solutions into production \nEnsure robustness, explainability, and monitoring of models \nData & Feature Engineering \nWork with large-scale datasets: \nShipment data, GPS/telematics, weather, port congestion, tariffs \nBuild feature pipelines and data validation frameworks \nLeadership & Strategy \nLead AI initiatives and mentor junior scientists \nTranslate business problems into AI solutions \nPartner with product, operations, and stakeholders to define roadmaps \nRequired Qualifications \nPhD in Computer Science, Operations Research, Applied Math, or related quantitative field \n6+ years of experience in AI/ML or optimization, or Supply Chain planning systems\nStrong expertise in: \nPython (NumPy, Pandas, PyTorch/TensorFlow) \nOptimization tools (Gurobi, CPLEX, OR-Tools) \nDeep knowledge of: \nRouting algorithms (VRP, shortest path, heuristics/metaheuristics) \nTime-series forecasting and probabilistic modeling \nExperience deploying models in production environments \nPreferred Qualifications \nExperience in transportation, logistics, or supply chain domain \nFamiliarity with Maritime shipping or fleet scheduling \nContainer logistics and repositioning problems \nExperience with: \nReinforcement learning for dynamic decision-making \nDigital twins and simulation systems \nKnowledge of cloud platforms (GCP, AWS, Azure) \nExperience with streaming data (Kafka, Spark) \nKey Skills \nOptimization + Machine Learning hybrid modeling \nStrong problem-solving and mathematical modeling skills \nAbility to handle ambiguous, real-world constraints \nCommunication skills to explain complex models to business stakeholders \nPublications / Patents: \nStrong plus if you have published in AI/ML/OR conferences (NeurIPS, ICML, INFORMS, etc.) \nInterview Process\nAs part of the interview process, you will be asked to complete a technical assessment. Expect atleast two-three rounds of Technical interviewing rounds and one onsite round. \nContract and temporary roles are not eligible for the above benefits.\nLocation: This role is not remote. Candidates must be based in Bengaluru and are expected to report to our office 5 days a week.\nAvathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.\nAvathon is committed to providing reasonable accommodations throughout the recruiting process. 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