Role: Sr. Machine Learning Engineer/LeadLocation: Hyderabad,INDIA [Hybrid]
About Company:
Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processesto accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks whileautomating complex business functions in the Office of the CFO, redefining enterprise AI by combiningits proprietary specialized language model with multi-model support for leading large language models(LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, andGoogle Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AI’sagentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimizevendor management, streamline collections, add controls to procurement spend, accelerate dataextraction, and automatically handle finance inbox inquiries.Corporate finance and accounting teams at leading companies such as Rocket Companies, RingCentral,Truist Insurance Holdings, Match Group, Ochsner Health System, Stock X, Denny’s, Blackbaud,Memorial Sloan Kettering Hospitals, and Iowa State University use Auditoria to accelerate business valuewhile minimizing heavy IT involvement, improving business resilience, lowering attrition, andaccelerating business insights for finance teams.Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along withparticipation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock,NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures.Awards and Recognition
- Q4 2024 AIconics Award Auditoria made the shortlist for the Solutions Provider of the Year
Award which recognizes AI solutions providers who have had an exceptional year.
- Q2 2024 Constellation ShortList™ for AI-Driven Cognitive Applications for the fifth year in a
row.
- Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a
sample vendor for Composite AI.
- In 2024, Auditoria was named a sample vendor for intelligent applications in finance in the Hype
Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics,
2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports.
- Q3 2023 The Channel Co. CRN Tech Innovators Award Finalist
- 2023 SSON Impact Awards Technology of the Year Finalist
- 2023 Best SaaS for Improved Productivity Finalist
- 2022 Gartner Cool Vendor in Finance
- 2022 AI Breakthrough Awards Best Robotic Process Automaton
- Q1 2021 The Channel Co. CRN Emerging Vendors Automation
- 2021 SSON Impact AwardsWinner Technology of the Year
- 2021Constellation’s The Pitch Winner
Responsibilities:
Looking for strong candidates with a passion for participating in Auditoria’s mission. Areas of
Responsibilities (subject To Change Over Time):
Developing and managing data pipelines for ML and analytics.Effectively analyze and resolve engineering issues as they arise.Implementing ML algorithms to classify textual categorization and information extraction.Writing containerized microservices for serving the model in a production environment.Writing unit tests alongside development.
Skills Sets:
Must-haves○Python programming expertise: data structures, OOP, recursions, generators, iterators,decorators, familiarity with regular expressions.○Working knowledge and experience with deep learning framework Pytorch orTensorflow. Embedding representations.○Familiarity with SQL database interactions.○Familiarity with Elasticsearch document indexing, querying.○Familiarity with Docker, Dockerfile.○Familiarity with REST API, JSON structure. Python packages like FastAPI.○Familiarity with git operations.○Familiarity with shell scripting.○Familiarity with PyCharm for development, debugging, profiling.○Experience with Kubernetes.Desired○NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic naturallanguage concepts, handling. Tokenization, lemmatization, stemming, edit distances,named entity recognition, syntactic parsing, etc.○Good knowledge and experience with deep learning framework Pytorch or Tensorflow.○More complex operations with Elasticsearch. Creating indices, indexable fields, etc.○Good experience with KubernetesSkills: React JS,JS
