{"id":169259,"url":"https://alion.io/job/minfy-technologies-jr-data-scientist-consultant","title":"Jr. Data Scientist (Consultant)","company":{"id":59584,"name":"Minfy Technologies","domain":"minfytech.com","url":"https://alion.io/company/minfy-technologies","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":83,"open_postings":18,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":120000,"currency":"AUD","period":"year","gross":null,"usd_annual":84033},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","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":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"Chroma","optional":true},{"name":"Databricks","optional":true},{"name":"FAISS","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-07-29T12:27:03Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-25T04:22:27Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"We are looking for an AI Engineer / Data Scientist with 3-5 years of hands-on experience across classical machine learning, data science and applied Generative AI.\nIn this role, you will design, build and deploy AI solutions that solve real business problems. You will work across traditional ML models, data analysis, NLP, GenAI, embeddings, vector search, RAG pipelines and LLM-based applications. You will collaborate with business stakeholders, architects, software engineers and data teams to move AI use cases from concept through to production.\nYou should be comfortable working with Python, SQL, machine learning libraries, cloud platforms and modern GenAI tools. You should also be able to explain your models, evaluate their performance, and understand the risks of using AI in enterprise environments.\nResponsibilities include:\nDeveloping machine learning and GenAI solutions for business use cases.\nBuilding models for prediction, classification, recommendation, forecasting, anomaly detection and NLP.\nDesigning RAG pipelines using embeddings, vector databases and LLMs.\nWorking with structured and unstructured data.\nBuilding data and ML pipelines for training, evaluation, deployment and monitoring.\nIntegrating AI models into APIs, applications and enterprise workflows.\nEvaluating model quality, reliability, cost, latency and business impact.\nApplying responsible AI practices including privacy, security, explainability and human review.\nCollaborating with business, engineering and architecture teams.\nRequired skills:\n3-5 years’ experience in data science, machine learning or AI engineering.\nStrong Python and SQL skills.\nExperience 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