{"id":2906973,"url":"https://alion.io/job/mathco-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":455909,"name":"MathCo","domain":"mathco.com","url":"https://alion.io/company/mathco","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career 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development\nCoordinate with stakeholders to gather requirements, set priorities, and define project timelines\nEnsure projects align with overall business objectives and data strategy\nEnsure data quality, integrity, and security across all data engineering projects\nIdentify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations\nAbility to build/drive reusable frameworks that can drive efficiency of the overall data system\nManages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes\nRequired Skills (Must have)\nTech:\nExperience of 4.5-7 years in development and deployment of scalable AI/ML solutions\nHas strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc\nDevelop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)\nDesign and optimize Retrieval-Augmented Generation (RAG) solutions\nManage Databricks workflows, including job and cluster creation also Databricks API\nApply data structures and algorithms knowledge, including multiprocessing and optimization techniques\nUtilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development\nPerform SQL optimization and database architecture design (schema creation, normalization, functions, triggers)\nDeploy and orchestrate AI models using Docker and Kubernetes\nCollaborate using GitHub for version control and team collaboration\nWork with cloud platforms for AI solution deployment and management (Azure, GCP, AWS)\nUtilize PySpark for data processing (optional)\nBasic understanding of CI/CD pipelines and deployment process\nNon-Tech:\nStrong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients\nProficient in written and verbal communication and able to hold conversations with mid-management-level clients\nAbility to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact\nStrong people skills, including conflict resolution, empathy, communication, listening, and negotiation\nShows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team\nGood to Have Skills\nFamiliarity with data visualization tools and techniques\nKnowledge of data security and privacy practices\nUnderstanding of data governance and compliance frameworks\nExperience with graph databases and graph processing frameworks\nExperience with data virtualization and data federation techniques\nProficiency in data profiling and data quality management\nSelf-driven with a strong sense of 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