{"id":2757740,"url":"https://alion.io/job/aptiv-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":5724,"name":"Aptiv","domain":"aptiv.com","url":"https://alion.io/company/aptiv","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","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":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Transformers","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"C++","optional":true},{"name":"Kubeflow","optional":true},{"name":"MATLAB","optional":true},{"name":"MLFlow","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-17T11:05:52Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Your Role\nSr. Machine Learning Engineer\nROLES AND RESPONSIBILITIES\nDesign, develop, train, fine-tune, and validate Machine Learning and Deep Learning models for ADAS/Automotive validation use cases.\nBuild end-to-end ML pipelines including data acquisition, dataset curation, preprocessing, labeling, cleaning, feature engineering, and model evaluation.\nDevelop and train Deep Neural Networks (DNNs), CNNs, RNNs, Transformers, and other state-of-the-art architectures for perception, signal processing, event detection, and validation workflows.\nSupport initiatives such as TSI validation by training models from scratch using large-scale vehicle datasets.\nDefine training, validation, and test datasets and establish data quality standards for model development.\nAnalyze dataset quality, class imbalance, labeling accuracy, feature distributions, and data drift issues.\nImplement model training workflows on AWS, Azure, and HPC environments utilizing distributed training techniques when required.\nPerform hyperparameter tuning, model optimization, performance benchmarking, and error analysis.\nDevelop evaluation frameworks and validation methodologies for ML model performance across different operating conditions.\nCollaborate with algorithm and validation teams to investigate model failures and improve model robustness.\nCreate reproducible ML pipelines and maintain model training, experiment tracking, and documentation standards.\nSupport deployment readiness reviews and provide technical guidance on model performance and limitations.\nApply structured problem-solving techniques to support root-cause analysis.\nLearn ADAS system architecture and data flow from sensor → ECU → analytics → validation.\nParticipate in hands-on vehicle testing and data collection under guidance of senior engineers.\nSupport vehicle instrumentation, logging setup, and data validation.\nHelp ensure collected data meets analysis and validation requirements.\nExtract and prepare large-scale automotive datasets required for machine learning model development and validation.\nDevelop automated data processing pipelines for sensor, CAN, Ethernet, camera, radar, and vehicle telemetry data.\nIdentify high-value training scenarios and edge cases for model development and validation.\nCollaboration & Process Adherence\nWork closely with Algorithm development team, Systems and validation engineers and Project and engineering managers\nFollow established ADAS V-cycle development, validation, and documentation processes.\nContribute to continuous improvement of data analysis tools and workflows.\nYour Background\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, or related discipline.\n6-8 years of industry experience in Machine Learning, Data Science, Deep Learning, or related fields.\nStrong Python development skills with hands-on experience building production-grade ML pipelines.\nDemonstrated experience training Machine Learning and Deep Learning models from scratch using large-scale datasets.\nHands-on experience with dataset creation, data collection, labeling, cleaning, augmentation, feature engineering, and data quality assessment.\nStrong understanding of statistical learning, model evaluation metrics, validation methodologies, and error analysis.\nExperience working with large-scale structured and unstructured datasets.\nUnderstanding of automotive signals, ECUs, CAN, Ethernet, and embedded systems fundamentals.\nNice to Haves\nExperience developing or validating AI/ML models for ADAS, Autonomous Driving, Robotics, or Automotive applications.\nExperience with perception datasets involving camera, radar, lidar, and vehicle sensor data.\nExperience training transformer-based models and foundation models.\nFamiliarity with MLOps tools including MLflow, Weights & Biases, Kubeflow, Azure ML, or SageMaker.\nKnowledge of model explainability, bias analysis, robustness testing, and AI validation methodologies.\nExperience with GPU optimization, distributed training, and large-scale data processing frameworks.\nExposure to C/C++, MATLAB, signal processing, or embedded software development.\nExperience with CANoe, CANalyzer, SIL/HIL environments, and automotive validation workflows.\nWhy Join Aptiv\nYou grow at Aptiv.\nAptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.\nYou make an impact at Aptiv.\nOne of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.\nYou have support at Aptiv.\nWe ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.\nYour Benefits\nHigher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);\nLife and accident insurance;\nSodexo cards for food and beverages\nWell Being Program that includes regular workshops and networking events;\nEAP Employee Assistance;\nAccess to fitness clubs (T&C apply);\nCreche facility for working parents\nMeet the Next-Generation Aptiv\nAt Aptiv, we deliver innovative solutions that people trust when it matters most.\nProgress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on-advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.\nGuided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.\nJoin Us to Deliver Innovative Solutions That People Trust!\nPrivacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates\nAptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.","description_format":"text","description_chars":6686,"description_truncated":false,"requirements":{"experience_years_min":6,"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":["Passive Components & Connectors","Automotive Components","Automotive Software","Electrical Equipment & Cables"],"lifecycle":[{"event":"open","at":"2026-10-17T02:04:05Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.69,"p_room":0.45,"age_days":29,"expected_fill_days":17,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/aptiv-senior-machine-learning-engineer","json_url":"https://alion.io/job/aptiv-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T11:08:24Z","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":14519,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":5724},"rest":"https://alion.io/mcp/rest/get_company?id=5724"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faptiv-senior-machine-learning-engineer"},{"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%2Faptiv-senior-machine-learning-engineer"},{"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%2Faptiv-senior-machine-learning-engineer"},{"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/aptiv-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faptiv-senior-machine-learning-engineer"}]}