{"id":2921985,"url":"https://alion.io/job/cisco-systems-machine-learning-engineering-technical-leader-2","title":"Machine Learning Engineering Technical Leader","company":{"id":90,"name":"Cisco Systems","domain":"cisco.com","url":"https://alion.io/company/cisco-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":238,"ghost_share":0.029,"stale_share":0.458,"repost_share":0.101,"time_to_fill_p50_days":25,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":90000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"NLP","optional":false}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T23:09:28Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Meet the Team\nJoin our team that's advancing Cisco’s AI/ML capabilities by designing innovative algorithms and neural network architectures for natural language processing, machine perception, and Generative AI. You will drive the development of scalable, production-ready machine learning solutions that power Cisco’s products and deliver measurable business impact.\nYour Impact\nAnalyse Cisco and external datasets to identify opportunities, formulate hypotheses, and translate business needs into feasible ML solutions.\nDesign and optimise advanced models using transformers, convolutional neural networks, knowledge distillation, student-teacher frameworks, GANs, and other emerging techniques.\nLead the exploration and adoption of state-of-the-art algorithms and architectures for complex, business-critical ML applications.\nEstablish technical vision and model design practices across functions and product portfolios, guiding teams toward scalable and reliable solutions.\nAutomate ML workflows spanning model selection, training, inference, and deployment to improve efficiency and performance.\nArchitect specialised data pipelines and optimisation techniques to enhance model training, accuracy, and computational efficiency.\nChampion CI/CD-driven model integration, deployment, lifecycle management, and continuous improvement.\nMinimum Qualifications\nBachelor’s degree with 12+ years, Master’s degree with 8+ years, or PhD with 5+ years of relevant experience.\nStrong expertise in machine learning, deep learning, and neural network architecture design for NLP, machine perception, or related applications.\nHands-on experience developing and optimising advanced ML models, including transformer-based and convolutional architectures, knowledge distillation, student-teacher models, and GANs.\nProficiency in model training, inference optimisation, data preparation, and specialised data-splitting strategies.\nExperience automating ML workflows, improving model performance, and addressing scalability, efficiency, and reliability challenges.\nPreferred Qualifications\nDemonstrated technical leadership in shaping system architecture and mentoring engineers on ML platforms and cloud-native best practices.\nStrong systems-thinking skills to balance model quality, scalability, reliability, latency, and cost in production environments.\nProven ability to evaluate emerging AI/ML approaches and translate research into scalable, production-ready solutions.\nPassion for staying current with advancements in AI/ML, Generative AI, and next-generation model architectures.\nWhy Cisco?\nAt Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.\nFueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.\nWe are Cisco, and our power starts with you.\nDisclaimer\nTo ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:\nbe in direct response to an application you have submitted through the company career site\nbegin with screening or an interview\noriginate from a Cisco email address, and\nbe conducted across email, phone, or WebEx\nCisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.\nIf you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. 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