Job Description

Elutions

, a premier enterprise AI company, delivers transformative financial

benefits to our client base utilizing our proprietary AI ecosystem, Maestro. The

platform's AI pipeline automates the understanding of our client's domain, the

identification of operational anomalies within their processes, the prescription of a

root cause analysis for said anomalies, and issuance of the corrective/remedial

actions in real-time required to optimize said processes and track the financial

improvement of their operations to provide a fully optimized, autonomous

environment for our clients. Maestro AI is industry agnostic, with a current focus

on large industrial companies within the oil & gas, chemical manufacturing, utility,

and logistics verticals.







Our AI Engineering team utilizes Maestro's AI Pipeline to build scalable solutions

addressing complex business challenges such as: Network Optimization, Yield

Optimization, Throughput Optimization, Process Optimization, Utility Utilization,

Predictive & Preventative Maintenance, Run-plan Scheduling, Pricing Strategies,

Logistics within Planning & Scheduling, among others. The Maestro ecosystem is

designed to be industry agnostic where the AI engineering team can optimize any

business challenge presented to them through the utilization of the platform.



Maestro's AI pipeline applies a proprietary neural network, advanced machine

learning techniques, generative AI, and large language model (LLM), all

developed in-house, to deliver financial and operational improvements, optimize

our client's operations, and drive innovation within their organizations and within

Elutions' forward development.



Our AI Engineering team represents the forefront of innovation at Elutions,

delivering scalable AI solutions tailored to our clients' domains while

simultaneously incorporating lessons learned from previous deployments to

preempt market trends and remain the world leader in operational AI applications.

Key Responsibilities for an AI Engineer

Develop and maintain existing AI pipeline (neural network, machine

learning, LLM, etc.) to expand its capabilities, enable reliable knowledge

retrieval & reasoning, and incorporate state-of-the-art technologies to further

automate tasks and expand on the clients' overall operational improvements.

o Specific focus on the machine learning and large language model

disciplines is a requirement

Design and implement robust models, within the Maestro AI pipeline, and

experiment with new approaches to support performance and KPI

optimization.

Design and implement agent-based workflows to support KPI analysis,

performance monitoring, and multi-step analytical reasoning across data and

models.

Build and iterate-on efficient, maintainable prototypes, rigorously evaluate

model performance from both statistical and business perspectives, and

deploy scalable solutions to the production environment.

Collaborate closely with in-house Domain Engineers to solve

industrial/business problems utilizing the Maestro AI pipeline.

Play a key role in communicating complex technical concepts clearly to non

technical stakeholders.

Ideal Candidate Profile

Master's degree in Computer Science, Artificial Intelligence, Electrical

Engineering, Computer Engineering, Statistics, or a related field, with

preferably 1-3 years of experience developing AI or machine learning

algorithms or technologies, but we will accept candidates who are newly

graduated as well.

Proficiency in Python and SQL, with hands-on experience using deep

learning frameworks such as PyTorch or TensorFlow.

Familiarity with MLOps processes supporting the full lifecycle from model

development to deployment in production environments.

Experience in data science with machine learning algorithms and applying

them in line with industry best practices.

Experience building or working with large language model (LLM)

applications, including retrieval-augmented generation (RAG) systems, with

proficiency in LLM frameworks such as LangChain and LlamaIndex.

Elutions Interview Process

There will be three interviews for the most qualified candidates:

1. Introduction - Candidates will interview with Department Leadership and

AI Engineering team members to assess whether they are fits within

Elutions' culture and the AI Engineering Team;

2. Technical Assessment - AI Engineering leadership will administer an in

person or virtual technical test to assess whether the candidate has the

requisite technical knowledge and skills to be brought onto the team;

a. Should Elutions' Leadership not be satisfied with the outcome of the

test then they can elect to administer a take home test for further

assessment;

3. Offer Package Issuance - Following the first two interviews the candidate

will be notified whether they are eligible for the position and will be issued

an Offer Package for their consideration. Any questions will be directed to

the Department Head for swift responses and execution of the agreement.