{"id":3293236,"url":"https://alion.io/job/aiotac-ai-engineer","title":"AI Engineer","company":{"id":4478667,"name":"Aiotac","domain":"aiotac.com","url":"https://alion.io/company/aiotac","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PK"],"hiring_countries_total":1,"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":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-10-18T14:13:48Z","employer_posted_date":null,"last_verified_at":"2026-10-18T14:13:48Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"We are seeking a highly skilled and motivated AI Engineer to join our team. The ideal candidate will design, develop, and deploy artificial intelligence solutions that drive innovation and efficiency across our products and services. You will collaborate with data scientists, software engineers, and product managers to build intelligent systems that solve complex problems.\nKey Responsibilities\n\nAI model development: Design, train, and optimize machine learning and deep learning models.\n\nData preprocessing: Clean, transform, and prepare large datasets for training and inference.\n\nAlgorithm implementation: Apply state-of-the-art techniques in NLP, computer vision, or predictive analytics.\n\nDeployment and scaling: Integrate models into production systems ensuring scalability and performance.\n\nCollaboration: Work closely with cross-functional teams to align AI solutions with business goals.\n\nResearch and innovation: Stay updated on emerging AI technologies and contribute to continuous improvement.\n\nQualifications\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.\n\nStrong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.\n\nSolid understanding of machine learning, deep learning, and statistical modeling.\n\nExperience with cloud platforms (AWS, Azure, GCP) is a Plus.\n\nKnowledge of data engineering and distributed computing is a plus.\n\nStrong problem-solving skills and ability to work in a fast-paced environment.\n\nPreferred Skills\nExperience in natural language processing or computer vision.\n\nFamiliarity with MLOps and CI/CD pipelines.\n\nAbility to communicate complex technical concepts to non-technical stakeholders.\n\nWhat We Offer\nCompetitive salary and benefits package.\n\nOpportunities to work on cutting-edge AI projects.\n\nCollaborative and innovative work environment.\n\nProfessional growth and learning opportunities.\n\nOriginally posted on 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