{"id":192277,"url":"https://alion.io/job/velos-shield-senior-machine-learning-engineer-iiot-ot","title":"Senior Machine Learning Engineer (IIoT & OT)","company":{"id":96920,"name":"Velos Shield","domain":"velosshield.com","url":"https://alion.io/company/velos-shield","size_band":null,"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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Docker","optional":false},{"name":"Explainable AI","optional":false},{"name":"Flink","optional":false},{"name":"Kubeflow","optional":false},{"name":"LIME","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"Spark","optional":false},{"name":"TCP/IP","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Zero Trust","optional":false},{"name":"ONNX","optional":true},{"name":"SIEM","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-09-02T19:16:25Z","employer_posted_date":null,"last_verified_at":"2026-09-02T19:16:25Z","board_verified":false,"closed_at":null,"days_open":52,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":52},"description":"We are seeking a highly skilled Senior Machine Learning Engineer (5+ Years of Experience) to serve as the Core Technical Owner of our Operational Technology Network Intrusion Detection System (NIDS). In this pivotal role, you will lead the transformation of massive streams of semi-structured network telemetry(primarily JSON) into real-time, actionable security intelligence. You will design and deploy ML pipelines that effectively distinguish between cyber threats and physical equipment anomalies, ensuring maximum uptime and zero-trust safety for our industrial clients.\nThe candidate will have responsibilities across the following functions:\nAdvanced ML Pipeline and Data Engineering:\nHigh-Performance Telemetry Ingestion: Design optimised parsers and data pipelines to ingest, flatten, and feature-engineer complex, nested JSON network packets and industrial protocol payloads at scale.\nModel Development: Build, train, and validate unsupervised anomaly detection, time-series forecasting, and deep learning architectures optimised for zero-day threat detection.\nDifferentiated Classification: Architect algorithms capable of cleanly separating Security Incidents (e. g., lateral movement, unauthorised commands) from Operational Anomalies (e. g., PLC misconfiguration, equipment drift, packet drops).\nAI Innovation and Feature Engineering:\nExplainable AI (XAI): Integrate frameworks like SHAP or LIME into the alerting engine to ensure OT operators receive transparent, human-readable Root Cause Analysis (RCA).\nAutomated Asset Discovery: Deploy clustering techniques to fingerprint, profile, and inventory all network assets automatically based on traffic metadata patterns.\nPredictive Maintenance: Leverage historical telemetry to predict physical network switch failures and bandwidth congestion before they disrupt operations.\nSmart Policy Synthesis: Utilise traffic flow analytics to automatically recommend zero-trust firewall configurations and micro-segmentation policies.\nProduction Deployment and MLOps:\nEdge Deployment: Containerise and deploy resource-efficient models (using Docker/Kubernetescapable of running seamlessly at the industrial edge or centralised cloud.\nRobust MLOps: Establish robust MLOps practices using tools like MLflow, Weights and Biases, or Kubeflow to track model drift, concept drift, and performance degradation in dynamic environments.\nRequirements:\n5+ yearsof professional experience actively building, scaling, and productionizing machine learning systems.\nProgramming: Expert-level Python, including core data stacks (NumPy, Pandas, Scikit-Learn).\nDeep Learning: Hands-on experience building custom architectures using PyTorch or TensorFlow.\nData Engineering: Deep familiarity handling massive, nested JSON datasets. Experience with stream-processing (Apache Kafka, Spark, Flink) is required.\nSecurity/OT: Understanding of networking (TCP/IP, OSI model, PCAP). Familiarity with OT protocols (Modbus, DNP3 BACnet, PROFINET) is a massive plus.\nModelling: Proven track record withUnsupervised/Semi-Supervisedarchitectures (Isolation Forests, Autoencoders, GNNs).\nPreferred Qualifications:\nMust have a deep understanding of MLOps pipelines and optimisation tools for edge computing (e. g., ONNX, TensorRT).\nGood to have prior experience building Network Intrusion Detection Systems (NIDS) or working in Cybersecurity/SIEM product development.\nAdvanced Degree: Bachelor's, Master's, or PhD in Computer Science, Data Science, Cybersecurity, or a related quantitative field.","description_format":"text","description_chars":3517,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Information Security"],"lifecycle":[{"event":"open","at":"2026-09-02T19:16:25Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.57,"p_room":0.45,"age_days":52,"expected_fill_days":27,"reasons":["seen:52","win:tail"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/velos-shield-senior-machine-learning-engineer-iiot-ot","json_url":"https://alion.io/job/velos-shield-senior-machine-learning-engineer-iiot-ot.json","meta":{"generated_at":"2026-10-25T08:56:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12787,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":96920},"rest":"https://alion.io/mcp/rest/get_company?id=96920"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvelos-shield-senior-machine-learning-engineer-iiot-ot"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvelos-shield-senior-machine-learning-engineer-iiot-ot"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvelos-shield-senior-machine-learning-engineer-iiot-ot"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/velos-shield-senior-machine-learning-engineer-iiot-ot\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvelos-shield-senior-machine-learning-engineer-iiot-ot"}]}