{"id":3104226,"url":"https://alion.io/job/devsinc-software-ai-engineer","title":"Senior AI Engineer","company":{"id":3374,"name":"Devsinc","domain":"devsinc.com","url":"https://alion.io/company/devsinc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":16,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-28T05:59:10Z"}},"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":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"Keras","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-22T18:26:59Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-28T08:43:18Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We are looking for a skilled and experienced Senior AI Engineer to design, develop, deploy, and maintain scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Python programming, machine learning algorithms, deep learning frameworks, cloud platforms, and production-grade model deployment.\nThe candidate will collaborate with cross-functional teams to develop intelligent applications, optimize model performance, and integrate AI/ML solutions into existing systems and business workflows.\nRequirements\nDesign, develop, train, and optimize machine learning and deep learning models for real-world applications.\nBuild AI/ML pipelines for data preprocessing, feature engineering, model training, evaluation, and inference.\nDevelop AI-powered applications using Python and relevant AI/ML libraries and frameworks.\nImplement Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions where required.\nDeploy, monitor, and maintain production-ready AI/ML models on cloud platforms.\nDevelop scalable APIs and backend services using FastAPI, Flask, or Django.\nImplement MLOps practices for model versioning, monitoring, testing, and deployment automation.\nOptimize model performance, scalability, reliability, and cloud resource utilization.\nCollaborate with cross-functional teams and provide technical guidance to junior engineers.\nResponsibilities:\nMinimum 4+ years of professional experience in AI/ML engineering, machine learning, or a related field.\nStrong proficiency in Python and libraries such as NumPy, Pandas, SciPy, and Scikit-learn.\nHands-on experience with AI/ML and deep learning frameworks such as PyTorch, TensorFlow, or Keras.\nStrong understanding of machine learning algorithms, deep learning, feature engineering, model evaluation, and hyperparameter tuning.\nExperience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).\nPractical experience deploying AI/ML models into production environments.\nKnowledge of Docker, Kubernetes, CI/CD pipelines, and model-serving 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