{"id":3266866,"url":"https://alion.io/job/devsinc-software-engineer-aiml-2","title":"Software Engineer - AI/ML","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":79,"open_postings":14,"ghost_share":0,"stale_share":0.786,"repost_share":0.071,"time_to_fill_p50_days":29,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","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":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-26T09:41:41Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-04T00:19:20Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"We are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects.\nCore Responsibilities\nDevelop, train, test, and optimize machine learning models for real-world applications.\nPerform data collection, cleaning, preprocessing, and feature engineering to prepare datasets for model development.\nImplement machine learning and deep learning algorithms to solve business problems.\nDevelop AI-powered applications using Large Language Models (LLMs), prompt engineering, and Generative AI techniques.\nBuild and integrate Retrieval-Augmented Generation (RAG) pipelines and work with embeddings and vector databases where required.\nEvaluate model performance using appropriate metrics and improve accuracy, efficiency, and reliability.\nIntegrate AI/ML models into applications using REST APIs and backend services.\nAssist in deploying models to production and maintaining their performance.\nCollaborate with software engineers, product teams, and other stakeholders to deliver AI-driven solutions.\nMaintain clean, reusable, and well-documented code while following software development best practices.\nStay updated with emerging AI/ML technologies, frameworks, and industry trends.\nQualification\nBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.\nAt least 1 year of hands-on experience in AI/ML development through professional employment or relevant practical experience.\nExperience working on AI/ML projects, with the ability to explain the approach, implementation, and results.\nUnderstanding of the machine learning development lifecycle, from data preparation to model evaluation and deployment.\nAbility to troubleshoot technical issues and work collaboratively within a team.\nRequirements\nProficiency in Python programming and object-oriented programming concepts.\nWorking knowledge of NumPy, Pandas, and Scikit-learn.\nUnderstanding of supervised and unsupervised learning algorithms.\nFamiliarity with deep learning frameworks such as PyTorch or TensorFlow.\nKnowledge of data preprocessing, feature engineering, and model evaluation techniques.\nBasic experience with Generative AI, LLMs, prompt engineering, or AI APIs.\nFamiliarity with REST APIs, Git, and model deployment practices.\nStrong analytical thinking, problem-solving, and communication skills.\nBenefits\nProvident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch & Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports 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