{"id":2925263,"url":"https://alion.io/job/cospex-ai-machine-learning-engineer-python","title":"AI / Machine Learning Engineer (Python)","company":{"id":4453852,"name":"Cospex","domain":"cospex.org","url":"https://alion.io/company/cospex","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":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Tunis, Tunisia"],"countries":["TN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000,"max":null,"currency":"TND","period":"month","gross":true,"usd_annual":12072},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","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":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"NLP","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Rest API","optional":true},{"name":"Time Series","optional":true}],"status":"closed","first_seen_at":"2026-09-25T15:10:22Z","employer_posted_date":null,"last_verified_at":"2026-10-25T13:26:45Z","board_verified":false,"closed_at":"2026-10-25T13:26:45Z","days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"Only English CVs will be accepted.\n\nAI / Machine Learning Engineer (Python)\n\nLocation: Tunisia Employment Type: Full-Time Experience Level: Mid-Level to Senior Application Requirement: English CVs only\n\nAbout the Opportunity\n\nWe are looking for a skilled and motivated AI / Machine Learning Engineer (Python) to join our team and contribute to the development of intelligent, scalable, and production-ready AI solutions.\n\nWe are seeking professionals who combine strong AI and Machine Learning expertise with advanced Python skills, analytical thinking, excellent English communication, professionalism, and a strong commitment to continuous learning .\n\nThe ideal candidate will be comfortable working with data, developing and optimizing machine learning models, integrating AI technologies into real-world applications, and collaborating with technical and non-technical stakeholders in an international environment.\n\nWe value professionals who are reliable, proactive, detail-oriented, adaptable, solution-oriented, and committed to delivering high-quality results .\n\nKey Responsibilities\n\nDesign, develop, test, and optimize Machine Learning and AI solutions .\n\nDevelop and maintain production-ready AI/ML models using Python.\n\nPrepare, clean, transform, and analyze structured and unstructured datasets.\n\nPerform feature engineering and select appropriate modeling approaches.\n\nTrain, evaluate, optimize, and deploy Machine Learning models.\n\nMonitor model performance and identify opportunities for improvement.\n\nIntegrate AI/ML models into existing applications, APIs, and backend systems.\n\nDevelop AI-powered applications and automation solutions.\n\nWork with modern AI technologies, including LLMs and Generative AI where applicable.\n\nCollaborate with software engineers, project managers, and other stakeholders.\n\nTranslate business and technical requirements into practical AI solutions.\n\nTroubleshoot technical and model-related issues.\n\nConduct experiments and evaluate different approaches to improve model performance.\n\nDocument models, workflows, experiments, technical solutions, and processes.\n\nFollow software engineering, testing, version control, and documentation best practices.\n\nContribute to the continuous improvement of AI systems and development processes.\n\nCore RequirementsAI & Machine Learning Skills\n\nMinimum 4 years of professional experience in AI Engineering, Machine Learning, Data Science, Python Development, or a related field.\n\nStrong Python programming skills .\n\nHands-on experience developing and deploying Machine Learning models.\n\nStrong understanding of supervised and unsupervised learning .\n\nExperience with data preprocessing, feature engineering, and model evaluation.\n\nExperience building, testing, optimizing, and deploying ML models.\n\nAbility to work with both structured and unstructured data .\n\nUnderstanding of model performance tuning and optimization.\n\nStrong data analysis and problem-solving skills.\n\nExperience integrating AI/ML solutions into production environments.\n\nUnderstanding of software development best practices.\n\nAbility to document models, workflows, experiments, and technical processes.\n\nPython & AI Technologies\n\nExperience with relevant Python libraries, frameworks, and tools such as:\n\nNumPy\n\nPandas\n\nScikit-learn\n\nTensorFlow\n\nPyTorch\n\nJupyter\n\nOther relevant Python-based AI/ML frameworks and libraries\n\nCandidates do not need to have experience with every technology listed above. Strong practical expertise in relevant tools and the ability to learn new technologies are highly valued.\n\nAdvanced AI / Generative AI Experience\n\nExperience in modern AI technologies is highly valued, including:\n\nLarge Language Models (LLMs)\n\nGenerative AI\n\nAI Agents\n\nRetrieval-Augmented Generation (RAG)\n\nPrompt engineering and evaluation\n\nVector databases and embeddings\n\nAI-powered applications\n\nAI automation and intelligent workflows\n\nModel/API integration\n\nLLM application development\n\nExperience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies is a plus.\n\nCommunication & Professional Skills\n\nAdvanced English communication skills — written and spoken.\n\nAbility to clearly explain technical concepts and AI solutions.\n\nAbility to communicate effectively with both technical and non-technical stakeholders.\n\nStrong analytical and critical-thinking skills.\n\nExcellent problem-solving abilities.\n\nStrong attention to detail.\n\nStrong sense of responsibility and ownership.\n\nAbility to work independently and collaboratively.\n\nProfessional attitude and strong teamwork skills.\n\nHigh level of reliability, commitment, and availability.\n\nGenuine interest in continuous learning and professional development.\n\nAbility to work effectively in an international and multicultural environment.\n\nPreferred Technical Qualifications\n\nCandidates with experience in the following areas will be strongly considered:\n\nAI & Machine Learning\n\nProduction-level Machine Learning systems\n\nDeep Learning\n\nNatural Language Processing (NLP)\n\nComputer Vision\n\nRecommendation systems\n\nTime-series modeling\n\nModel optimization and performance tuning\n\nGenerative AI\n\nLLM application development\n\nRAG architectures\n\nAI Agents\n\nEmbeddings and vector search\n\nPrompt engineering\n\nLLM evaluation\n\nAI workflow automation\n\nIntegration with commercial or open-source AI models\n\nEngineering & Infrastructure\n\nREST APIs and backend systems\n\nCloud-based AI applications\n\nDocker and containerization\n\nGit and version control\n\nCI/CD\n\nMicroservices\n\nDatabase technologies\n\nProduction deployment and monitoring\n\nCloud & MLOps\n\nExperience with one or more of the following is a plus:\n\nAWS\n\nMicrosoft Azure\n\nGoogle Cloud Platform (GCP)\n\nMLOps practices\n\nModel deployment\n\nModel monitoring\n\nModel versioning\n\nExperiment tracking\n\nData and model pipelines\n\nCI/CD for Machine Learning\n\nProduction AI infrastructure\n\nWhat We Value\n\nBeyond technical expertise, we are looking for professionals who demonstrate:\n\nOwnership: You take responsibility for your projects, models, and results.\n\nProblem-Solving: You approach complex technical challenges logically and proactively.\n\nContinuous Learning: You actively keep up with developments in AI and Machine Learning.\n\nReliability: You consistently deliver on commitments and responsibilities.\n\nCommunication: You can explain complex technical concepts clearly.\n\nTeamwork: You collaborate effectively with developers, managers, and stakeholders.\n\nAdaptability: You are comfortable learning new technologies and approaches.\n\nAttention to Detail: You care about the quality, reliability, and performance of your work.\n\nProfessionalism: You maintain high standards in both technical work and communication.\n\nCommitment: You are interested in building a long-term professional career and growing with the organization.\n\nWho We Are Looking For\n\nWe are particularly interested in professionals who can demonstrate a strong combination of:\n\nAI/ML Expertise + Python Skills + Analytical Thinking + Communication + Professionalism + Growth Mindset\n\nWe are not simply looking for someone who can train a model.\n\nWe are looking for an engineer who can understand a problem, analyze data, select appropriate AI/ML approaches, develop practical solutions, communicate technical decisions clearly, integrate solutions into real applications, and continuously improve their work.\n\nCandidates with experience taking AI/ML projects from development and experimentation through deployment and production are particularly encouraged to apply.\n\nCertifications\n\nRelevant certifications in the following areas are a plus, but not mandatory:\n\nArtificial Intelligence\n\nMachine Learning\n\nPython\n\nData Science\n\nCloud Computing\n\nAWS\n\nMicrosoft Azure\n\nGoogle Cloud\n\nMLOps\n\nPractical professional experience and demonstrated technical ability are highly valued.\n\nApplication RequirementsOnly English CVs will be accepted.\n\nPlease ensure your CV clearly highlights:\n\nYears of professional AI/ML experience\n\nPython experience\n\nMachine Learning frameworks and libraries\n\nAI/ML projects you have developed\n\nProduction or deployed AI/ML systems\n\nLLM / Generative AI experience, if applicable\n\nAI Agents / RAG experience, if applicable\n\nCloud experience, if applicable\n\nMLOps / deployment experience, if applicable\n\nRelevant certifications\n\nEnglish communication proficiency\n\nExperience working with international teams, if applicable\n\nPlease submit your CV in English and clearly present your professional experience, technical skills, and relevant AI/ML projects.\n\nImportant\n\nApplicants should have at least 4 years of relevant professional experience and be comfortable communicating in English within a professional international environment.\n\nWe look forward to connecting with talented AI and Machine Learning professionals who are ready to solve meaningful problems, build practical AI solutions, continuously develop their expertise, and grow with the 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