{"id":2585457,"url":"https://alion.io/job/george-bernard-ai-ml-engineer","title":"AI / ML Engineer","company":{"id":4423584,"name":"George Bernard","domain":"georgebernard.co","url":"https://alion.io/company/georgebernard","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","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":"Amazon SageMaker","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","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":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex 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accuracy, and inference speed.\nDeploy models using cloud platforms or MLOps frameworks.\nCollaborate with data engineers, product teams, and software engineers.\nMaintain model monitoring, versioning, and retraining workflows.\nRequired Skills & Experience:\nStrong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).\nProficiency in Python and ML-ready libraries (NumPy, Pandas, Matplotlib).\nExperience with model deployment using Docker, FastAPI, Flask, or cloud ML services.\nUnderstanding of algorithms, statistics, and data modelling.\nExperience with NLP, deep learning, or computer vision (as required).\nFamiliarity with MLOps tools (MLflow, Kubeflow, Vertex AI, Sagemaker) is a plus.\nGood understanding of data structures and distributed systems.\nAI Tools Implementation & Customization\nInstalling and running open-source LLMs (Ollama, Llama, Mistral, etc.).\nIntegrating LLMs into applications (via API, local server, containers).\nDesigning and building RAG (Retrieval-Augmented Generation) systems.\nImplementing vector databases (Weaviate, Pinecone, ChromaDB, Qdrant).\nBuilding embeddings pipelines and prompt pipelines.\nCreating automation flows using n8n, LangChain, FastAPI, etc.\nFine-tuning or customizing models for company-specific tasks.","description_format":"text","description_chars":1611,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-15T03:42:37Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely 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