{"id":2788171,"url":"https://alion.io/job/persistent-systems-aiml-engineer","title":"AI/ML Engineer","company":{"id":59479,"name":"Persistent Systems","domain":"persistent.com","url":"https://alion.io/company/persistent-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-13T05:52:14Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T20:26:58Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"About Persistent\nWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.\nOur disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix? Assessment 2026 and Software Product Engineering PEAK Matrix? Assessment 2026.\nAbout Position:\nWe are seeking an experienced AI/ML Engineer to join our MLOps team and drive the deployment, operationalization, monitoring, and maintenance of Machine Learning solutions in production. The ideal candidate will have strong expertise in Python, SQL, machine learning model deployment, data pipelines, and MLOps practices, with the ability to collaborate closely with Data Science, Data Engineering, and Business teams to deliver scalable AI solutions.\nRole: ML Ops\nLocation: Pune/Hyderabad\nExperience: 8 to 12 years\nJob Type: Full-Time Employment\nWhat You'll Do:\n Collaborate with Data Science and Engineering teams to deploy, operationalize, and scale machine learning models in production environments.\nDesign, develop, and maintain end-to-end MLOps pipelines for model training, validation, deployment, monitoring, and retraining.\nOperationalize complex machine learning models and algorithms, ensuring reliability, scalability, and performance.\nDevelop and maintain adaptable data pipelines to support use-case-specific data requirements.\nIntegrate AI/ML solutions into business workflows and collaborate with upstream and downstream teams to ensure seamless data and model consumption.\nBuild and maintain automated pipelines for generating and publishing model performance metrics to support model governance and oversight processes.\nMonitor model health, performance, data quality, and model drift, and implement remediation strategies when required.\nDevelop operational runbooks, support procedures, and maintenance guidelines for production ML solutions.\nParticipate in troubleshooting, root cause analysis, and continuous improvement of ML platforms and pipelines.\nExpertise You'll Bring:\n8+ years of overall IT experience with at least 3 years of hands-on AI/ML engineering experience.\nStrong programming experience in Python and SQL.\nExperience deploying and supporting machine learning models in production environments.\nStrong understanding of machine learning concepts and algorithms, including:Regression\nClassification\nModel evaluation and performance measurement\n\nKnowledge of Natural Language Processing (NLP) concepts, including:Sentiment Analysis\nTopic Modeling\nTF-IDF\n\nHands-on experience with:Scikit-Learn\nPandas\nPySpark\nVADER Sentiment (or similar NLP libraries)\n\nExperience designing and maintaining data pipelines and ETL/ELT workflows.\nFamiliarity with model monitoring, performance tracking, and model lifecycle management.\nExperience working with cloud-based AI/ML platforms and distributed data processing environments.\nStrong collaboration and communication skills with cross-functional teams.\nExperience with Vertex AI or Dataiku.\nExposure to MLOps tools and frameworks such as MLflow, Kubeflow, Airflow, or similar.\nExperience with cloud platforms such as GCP, AWS, or Azure.\nKnowledge of CI/CD automation for ML deployments.\nExperience with model governance, risk oversight, and compliance processes.\nBenefits:\nCompetitive salary and benefits package\nCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications\nOpportunity to work with cutting-edge technologies\nEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awards\nAnnual health check-ups\nInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents\nValues-Driven, People-Centric & Inclusive Work Environment:\nPersistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.\nWe support hybrid work and flexible hours to fit diverse lifestyles.\nOur office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.\nIf you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment\nLet?s unleash your full potential at Persistent -persistent.com/careers\n?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?","description_format":"text","description_chars":5727,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Information Technology","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-17T17:06:51Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.45,"p_room":0.28,"age_days":65,"expected_fill_days":26,"reasons":["conf:2","win:tail","crowd:brand"],"computed_at":"2026-10-17T22:50:43Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-aiml-engineer","json_url":"https://alion.io/job/persistent-systems-aiml-engineer.json","meta":{"generated_at":"2026-10-17T22:50:43Z","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":1008,"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":59479},"rest":"https://alion.io/mcp/rest/get_company?id=59479"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersistent-systems-aiml-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%2Fpersistent-systems-aiml-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%2Fpersistent-systems-aiml-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/persistent-systems-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-aiml-engineer"}]}