{"id":1280317,"url":"https://alion.io/job/artizent-lead-aiml-engineer","title":"Lead AI/ML Engineer","company":{"id":3801272,"name":"Artizent","domain":"artizent.com","url":"https://alion.io/company/artizent","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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon 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integrations with Claude-based models.\n\n- Design data pipelines and architectures to support AI/ML and Generative AI workloads.\n\n- Identify opportunities to optimize and fine-tune AI/ML workloads for performance, scalability, and cost efficiency.\n\n- Collaborate with Data Scientists, ML Engineers, Data Engineers, and Cloud Architects.\n\n- Evaluate AI/ML solutions and recommend appropriate AWS services and architecture patterns.\n\n- Ensure AI solutions meet requirements around reliability, security, scalability, and data quality.\n\nMandatory Skills :\n\n- AWS SageMaker\n\n- Amazon Bedrock\n\n- RAG (Retrieval-Augmented Generation)\n\n- Agent Core\n\n- Claude / LLM Integration\n\n- AI/ML Workload Optimization\n\n- Data Architecture for AI/ML\n\nGood to Have :\n\n- Generative AI / LLM applications\n\n- Vector databases and embeddings\n\n- AWS data services\n\n- MLOps / LLMOps\n\n- Prompt engineering\n\n- Model fine-tuning\n\n- Strong understanding of cloud-native AI architectures\n\nCandidate Profile :\n\n- Strong experience designing AI/ML data and solution architectures.\n\n- Hands-on experience with AWS AI/ML services.\n\n- Strong understanding of RAG and enterprise GenAI architectures.\n\n- Ability to optimize AI/ML workloads and work with emerging AI technologies.\n\n- Excellent analytical, problem-solving, and stakeholder-management skills.\nSkills\nArtificial Intelligence, Machine Learning, RAG, Generative AI, VectorDB, AWS, LLM, Prompt Engineering, AWS SageMaker, AWS 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