{"id":2812524,"url":"https://alion.io/job/softvil-technologies-associate-engineer-engineer-data-science-artificial-intelligence","title":"Associate Engineer / Engineer – Data Science & Artificial Intelligence","company":{"id":4446504,"name":"Softvil Technologies","domain":"softvilmedia.com","url":"https://alion.io/company/softvil-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Colombo, Sri Lanka"],"countries":["LK"],"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":"Agile","optional":false},{"name":"AIOps","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","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":"Time Series","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-05T10:22:31Z","employer_posted_date":null,"last_verified_at":"2026-10-05T10:22:31Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"We’re Hiring: Associate Engineer / Engineer – Data Science & Artificial Intelligence\n\nContract Type: 1-Year Contract\n\nLocation: Colombo, Sri Lanka\n\nAre you passionate about Machine Learning, Artificial Intelligence, Generative AI, and MLOps? Join our team and work on scalable, production-grade AI solutions for enterprise environments.\n\nKey Responsibilities\n\nDesign, develop, and optimize ML models for classification, regression, clustering, forecasting, and anomaly detection\n\nBuild and deploy Deep Learning models using TensorFlow/PyTorch\n\nWork with LLMs/SLMs, prompt engineering, fine-tuning, evaluation, and model serving\n\nDevelop and maintain MLOps/LLMOps pipelines, including training, versioning, CI/CD, deployment, and lifecycle management\n\nImplement model monitoring, drift detection, performance, latency, bias, and cost monitoring\n\nApply AIOps techniques to operational and telemetry data\n\nDevelop secure and scalable APIs to integrate AI/ML capabilities into enterprise applications\n\nCollaborate with Data Engineering teams on data preparation and feature engineering\n\nConduct model validation, experimentation, benchmarking, and reproducibility\n\nContribute to technical architecture, design documentation, and engineering best practices\n\nWhat We’re Looking For\n\nBachelor’s degree in IT, Computer Science, Data Science, Engineering, Mathematics, or a related field\n\n1–3 years of hands-on experience in Data Science or ML Engineering\n\nStrong Python skills and experience with scikit-learn, PyTorch, TensorFlow, NumPy, and pandas\n\nExperience developing and deploying production-grade ML models\n\nKnowledge of MLflow, Kubeflow, Vertex AI, SageMaker, or similar MLOps platforms\n\nExposure to LLMOps, RAG, vector databases, embeddings, and prompt engineering\n\nExperience with APIs, microservices, Docker/Kubernetes, and cloud platforms (AWS/Azure/GCP)\n\nUnderstanding of data pipelines, feature engineering, model lifecycle management, and CI/CD\n\nKnowledge of time-series analysis, anomaly detection, and telemetry data\n\nStrong analytical, problem-solving, and communication skills\n\nComfortable working in Agile, cross-functional teams with an engineering-first mindset\n\nInterested 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