{"id":3281802,"url":"https://alion.io/job/celestial-systems-ai-ml-engineer","title":"AI - ML Engineer","company":{"id":4478274,"name":"Celestial Systems","domain":"celestialsys.com","url":"https://alion.io/company/celestial-systems","size_band":"201-500","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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with advancements in AI, including LLMs, RAG architectures, and innovations in database and cloud technology.\n\nRequirements: \nBachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.\nProven experience working with LLMs (e. g., GPT, BERT) and implementing them in production-level applications.\nExpertise in RAG architecture for improving model relevance and performance in AI-driven systems.\nStrong experience with Vector Databases to handle large-scale, high-dimensional data.\nProficiency in Python and ML frameworks (e. g., TensorFlow, PyTorch, Hugging Face).\nFamiliarity with deploying AI/ML models on cloud platforms (e. g., AWS, Azure) with a focus on scalability.\nExcellent problem-solving skills and ability to work collaboratively in a dynamic, fast-paced environment.\n\nPreferred Skills: \nExperience with MLOps for scaling and automating ML model deployment and management.\nFamiliarity with graph databases and semantic search 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