{"id":2381991,"url":"https://alion.io/job/dynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron","title":"Sr Machine Learning Engineer (MLOps) - Remote India - Dynatron","company":{"id":4418891,"name":"Dynatron Software","domain":"dynatronsoftware.com","url":"https://alion.io/company/dynatronsoftware","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":242000,"period":"year","method":"global_role_seniority_cell","sample_n":1986},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-12T19:34:13Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T02:50:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Dynatron\nDynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealership service departments. Our analytics, automation, and AI-powered workflows help service leaders improve profitability, increase operational efficiency, and make smarter business decisions.As Dynatron expands its AI and machine learning capabilities, building models is only part of the challenge. We need the infrastructure, engineering discipline, and operational rigor to deploy those capabilities reliably, monitor them continuously, and scale them confidently.\nThe Opportunity\nWe’re looking for a Senior Machine Learning Engineer (MLOps) to own the production infrastructure and operational lifecycle behind Dynatron’s growing AI and machine learning capabilities.This is a senior, hands-on engineering role focused on turning models into reliable production services. You’ll build and own the pipelines, infrastructure, monitoring, governance, and deployment practices that allow our Data Science team to move from experimentation to production safely and repeatedly.\nYou’ll support both traditional machine learning and modern generative AI/LLM workloads, including retrieval-based and agentic applications. You’ll be responsible not simply for getting models into production, but for ensuring they remain performant, observable, secure, cost-effective, and maintainable once they get there.\nYou’ll work closely with our U.S.-based Data Science team. Because many of Dynatron’s data pipelines and model workloads run overnight in U.S. time, they align naturally with the India workday. You will have significant ownership of the production environment during this critical operating window.\nWhat You’ll Do\nBuild & Own the ML Production Lifecycle\nDesign, build, and maintain deployment pipelines that move models reliably from development through validation and into production.\nEstablish model versioning, lineage, registry, and automated promotion practices.\nDefine repeatable production-readiness standards and deployment patterns across ML and AI workloads.\nPartner with Data Scientists to make model handoffs efficient, consistent, and production-ready.\nDrive ML Reliability & Observability\nOwn production monitoring across model performance, drift, data quality, inference health, latency, and availability.\nEstablish alerts and operational thresholds that identify degradation before it materially impacts downstream products or customers.\nDiagnose production failures, perform root-cause analysis, and implement durable corrective actions.\nBuild operational practices that improve reliability as Dynatron’s portfolio of production models grows.\nOperationalize Generative AI & LLM Workloads\nDeploy and support production LLM applications, including retrieval-based and agentic architectures.\nBuild evaluation frameworks that measure quality, reliability, and performance of generative AI capabilities.\nMonitor token consumption, inference costs, and cost per interaction to ensure AI capabilities remain economically sustainable.\nImplement appropriate controls around model access, usage, safety, and production behavior.\nBuild Training & Retraining Infrastructure\nDesign and operate infrastructure supporting model training, validation, and retraining.\nBuild automated retraining pipelines triggered by appropriate performance, data, or business conditions.\nEnsure training environments and workflows are reproducible, scalable, and observable.\nPartner with Data Engineering and Data Science to ensure reliable movement of data throughout the ML lifecycle.\nEstablish AI/ML Governance\nImplement model access controls, auditability, lineage, and governance standards.\nSupport model risk classification and appropriate controls based on use case and business impact.\nProduce documentation and technical evidence required to support security, compliance, and internal governance requirements.\nHelp establish responsible production practices as Dynatron expands its use of AI.\nOwn Production Operations\nTake meaningful ownership of the operational health of Dynatron’s production ML and AI services.\nRespond to incidents, troubleshoot failures, and coordinate resolution across teams when necessary.\nBuild runbooks and operational procedures that reduce dependence on tribal knowledge.\nIdentify recurring operational issues and automate them away wherever practical.\nWhat You Bring\nMLOps & Production ML Experience\n6+ years of experience in software engineering, data engineering, machine learning engineering, or a related technical discipline.\n3+ years of hands-on experience deploying and operating AI/ML systems in production.\nDemonstrated experience supporting both traditional machine learning and LLM-based workloads in production.\nStrong understanding of the complete model lifecycle from development and validation through deployment, monitoring, retraining, and retirement.\nGenerative AI & LLM Expertise\nProduction experience with LLM-powered applications and agentic frameworks.\nExperience with retrieval architectures, evaluation methodologies, and production monitoring for generative AI.\nUnderstanding of LLM performance, latency, token utilization, and cost-per-interaction management.\nAbility to establish practical operational and governance controls around generative AI systems.\nCloud & MLOps Engineering\nDeep experience with a major cloud platform and its managed AI/ML services; AWS strongly preferred.\nHands-on experience with model registries, pipeline orchestration, ML CI/CD, automated retraining, and production monitoring.\nStrong Python engineering skills.\nExperience with containerization and infrastructure-as-code.\nExperience designing reliable, repeatable, and automated production environments.\nProduction Operations\nExperience operating production services with meaningful ownership for reliability and availability.\nStrong incident response, troubleshooting, and root-cause analysis skills.\nAbility to distinguish symptoms from underlying system failures and implement long-term solutions.\nComfortable making sound operational decisions independently when immediate U.S.-based support may not be available.\nCommunication & Documentation\nStrong written technical communication skills.\nExperience creating runbooks, architectural documentation, standards, and operational procedures.\nProactive communication style suited to distributed, asynchronous teams.\nAbility to work effectively across Data Engineering, Data Science, Product, and other technical functions.\nEducation\nBachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.\nNice to Have\nExperience implementing AI governance, model risk tiering, or access-control frameworks.\nExperience with modern data warehouse and orchestration technologies in production analytics environments.\nExperience supporting large-scale data and ML workloads within an AWS ecosystem.\nExperience working successfully on distributed global teams with U.S.-based colleagues.\nWhat Success Looks Like\nSuccessful Senior Machine Learning Engineers at Dynatron:Make deploying a model to production repeatable rather than exceptional.\nBuild production AI and ML services that are observable, reliable, secure, and cost-effective.\nIdentify model degradation and operational issues before they become significant customer or business problems.\nCreate clear standards for how ML and AI capabilities move from experimentation into production.\nBuild governance into the ML lifecycle rather than adding it after deployment.\nReduce manual intervention through automation and strong engineering practices.\nCreate documentation and runbooks that allow knowledge to scale across the organization.\nOperate independently while maintaining strong partnership with U.S.-based Data Science and Data Engineering teams.\nWhy Dynatron\nHelp build the production foundation behind a rapidly expanding portfolio of AI-enabled SaaS products.\nWork across traditional ML, generative AI, LLMs, and emerging agentic technologies.\nSolve meaningful MLOps challenges against large-scale automotive datasets and real-world customer applications.\nHigh-impact senior IC role with meaningful ownership of Dynatron’s production AI infrastructure.\nWork closely with Data Science, Data Engineering, Product, and technology leadership as Dynatron continues its evolution toward an AI-first organization.\nRemote environment offering autonomy, ownership, and significant technical responsibility.\nCompensation & Benefits\nCompensation: Competitive and market-aligned for IndiaEmployment: Full-time through Dynatron’s Employer of Record partner\nBenefits Include:\nCompetitive local benefits provided through our Employer of Record\nRemote working environment\nOngoing professional development opportunities\nOpportunity to work directly with U.S.-based Data and Technology teams\nMeaningful ownership of production systems supporting Dynatron’s AI strategy\nReady to build the engineering foundation that turns AI experimentation into reliable, scalable production capabilities? Join Dynatron and help us operationalize the next generation of intelligent automotive software.","description_format":"text","description_chars":9221,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T19:34:13Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:1","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron","json_url":"https://alion.io/job/dynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron.json","meta":{"generated_at":"2026-10-14T02:53:47Z","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":4438,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4418891},"rest":"https://alion.io/mcp/rest/get_company?id=4418891"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron"},{"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%2Fdynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron"},{"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%2Fdynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron"},{"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/dynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdynatronsoftware-sr-machine-learning-engineer-mlops-remote-india-dynatron"}]}