{"id":3464502,"url":"https://alion.io/job/hcltech-platform-engineer-iii-20","title":"Platform Engineer III","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","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":10000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CNN","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Time Series","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Transformers","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"LightGBM","optional":true},{"name":"MLFlow","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"PostgreSQL","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-10-29T14:57:36Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T06:31:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nWe are looking for a highly skilled Machine Learning Engineer to design, develop, deploy, and optimize AI/ML solutions that solve real-world business challenges. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, MLOps, model deployment, and cloud-based AI platforms. The role involves working closely with data scientists, software engineers, and business stakeholders to build scalable AI products and intelligent automation solutions.\nKey Responsibilities\nDesign, develop, train, and deploy machine learning models for business and industrial use cases.\nBuild end-to-end ML pipelines covering data ingestion, feature engineering, model training, validation, deployment, and monitoring.\nDevelop predictive analytics, recommendation systems, anomaly detection, forecasting, and classification solutions.\nWork with structured, semi-structured, and unstructured datasets.\nOptimize model performance, accuracy, scalability, and inference latency.\nImplement MLOps practices for continuous training, deployment, and monitoring.\nCollaborate with software engineering teams to integrate ML models into enterprise applications.\nEvaluate and benchmark machine learning and deep learning models.\nDevelop proof-of-concepts and production-ready AI solutions.\nStay 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