JOB INBOUND5

Job Description

Role : Sr. Machine Learning Engineer / Lead

Location : Hyderabad,INDIA [Hybrid]

About Company :

Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes

to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while

automating complex business functions in the Office of the CFO, redefining enterprise AI by combining

its 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, and

Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Auditoria.AI's

agentic AI, called SmartBots, integrates with systems of record and accounting inboxes to optimize

vendor management, streamline collections, add controls to procurement spend, accelerate data

extraction, 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 value

while minimizing heavy IT involvement, improving business resilience, lowering attrition, and

accelerating business insights for finance teams.

Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with

participation 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.

row.

sample vendor for Composite AI.

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.

Job Description

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 or

Tensorflow. 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 natural

language 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

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Skills Required

Pycharm, Sql, Tensorflow, Rest Api, Git, Nltk, Docker, Shell Scripting, Elasticsearch, Pytorch, Python Programming, Kubernetes