<h3>Description</h3>

<p><strong>Please note: This job posting is not for immediate hire but rather an opportunity to submit an application for future consideration.</strong></p>

<p>&nbsp;</p>

<p>At The Engineered Innovation Group, we&rsquo;re passionate about building software that solves problems. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a cross-functional team to develop real-world solutions and positive user experiences at every interaction.</p>

<p>Specifically, we are searching for a Machine Learning Engineer to help us define and build the next generation of features and products for our partners and clients.</p>

<p>&nbsp;</p>

<h2>About The Company&nbsp;&nbsp;</h2>

<p>EIG is an innovation group that aims to help organizations create new products and services that drive growth and a competitive edge. We have clients in the healthcare, SaaS, sports, AI, supply chain, and marketing industries.</p>

<p>&nbsp;</p>

<p>EIG is a small but growing innovation agency located in Indianapolis, IN. However, we believe that the best talent isn&rsquo;t geographically centralized and remote work is our norm.</p>

<p>&nbsp;</p>

<h2>Our Core Values (And we take them seriously)</h2>

<p><strong>Trust</strong></p>

<p>We build trusted relationships with our employees, contractors, customers, vendors, and partners. Trust encompasses delivering projects on time, quality work, and ensuring our customers&rsquo; proprietary information privacy and protection.</p>

<p>&nbsp;</p>

<p><strong>Insatiable Curiosity</strong></p>

<p>We are incredibly curious, whether it is people, technologies, or academics. Our curiosity fuels our ability to discover possibilities and make them a reality.</p>

<p>&nbsp;</p>

<p><strong>Abundance</strong></p>

<p>We believe that the world is full of opportunities, and even failures are opportunities. Our job is to identify the opportunities and leverage them to make a positive impact.</p>

<p>&nbsp;</p>

<p><strong>Diversity</strong></p>

<p>Not only does science reveal that the crux of creativity is in having a team of diverse backgrounds and voices, but it is also the right thing to do.&nbsp;</p>

<p>&nbsp;</p>

<p><strong>Measured Creativity</strong></p>

<p>Contrary to popular belief, creativity is not free form. Creativity is served by free-form thinking and techniques, but we believe creativity is as much science as an art.</p>

<h2>About You</h2>

<ul>
	<li>You have hands-on experience training and implementing machine learning models using tools at scale, such as PyTorch, TensorFlow, Python and associated packages.</li>
	<li>You have a strong track record of taking new research ideas in Machine Learning into production.&nbsp;</li>
	<li>You have experience with model training, deployment, and serving using cloud environments&nbsp; and the associated tools and technologies.</li>
	<li>You understand the architecture and development workflow for large-scale batch and streaming machine learning systems.&nbsp;</li>
	<li>You&rsquo;re insatiably curious and love learning new things and applying those learnings to your work</li>
	<li>You love to work across multiple projects and different industries</li>
	<li>You are comfortable working across various projects</li>
	<li>You have experience working with agile teams</li>
	<li>You&rsquo;re able to work with offshore teams in various time zones</li>
</ul>

<h2>What You Will Do</h2>

<ul>
	<li>Develop, optimize, and deploy machine learning algorithms and models for various applications, such as natural language processing, computer vision, recommendation systems, and predictive analytics.</li>
	<li>Clean, preprocess, and transform large datasets to extract relevant features for training machine learning models.&nbsp;</li>
	<li>Implement state-of-the-art machine learning algorithms using popular frameworks and libraries such as Tensorflow/Keras, PyTorch, or scikit-learn. Train and fine-tune models using appropriate training techniques (e.g., supervised, unsupervised, reinforcement learning) and evaluate their performance using suitable metrics.</li>
	<li>Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Ensure seamless integration of models with existing systems and optimize their performance in real-world scenarios.</li>
	<li>Conduct exploratory data analysis to gain insights and identify patterns or trends in the data. Communicate findings effectively through visualizations, reports, and presentations to stakeholders.</li>
	<li>Stay updated with the latest advancements in the field of machine learning, deep learning, and artificial intelligence. Evaluate and implement state-of-the-art techniques to improve model performance and solve complex business challenges.</li>
	<li>Collaborate with a multi-functional, agile team, spanning data science, design, product management, engineering, and domain experts, to understand requirements, develop solutions, and deliver high-quality products. Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members when necessary.</li>
</ul>

<h2>Preferred Skills and Experience</h2>

<ul>
	<li>Bachelor&#39;s degree in Computer Science, Data Science, Machine Learning, or a similar field or related field of study</li>
	<li>3+ years of real-world experience in a data science or machine learning engineering role</li>
	<li>Previous experience as a data scientist or machine learning engineer in a similar role</li>
	<li>Detailed knowledge of machine learning concepts and models, including modern deep learning frameworks</li>
	<li>Technical expertise in model development and deployment, data mining, and building data pipelines</li>
	<li>Strong development experience through hands-on coding in Python</li>
	<li>Hands-on experience with implementing models using scikit-learn, Tensorflow or PyTorch</li>
	<li>Strong understanding of MLOps best practices</li>
	<li>Strong numerical, statistical and analytical skills</li>
	<li>Experience and familiarity with at least one cloud platform; Google Cloud Platform (GCP) is a plus</li>
	<li>Exceptional verbal, written, and presentation skills.</li>
	<li>Ability to work effectively both independently and as part of a team, including customer teams</li>
</ul>

<h2>Benefits</h2>

<ul>
	<li>Health, vision, and dental insurance</li>
	<li>$100 per month technology stipend</li>
	<li>$100 monthly health stipend (to apply to gym memberships, fitness classes, etc.)</li>
	<li>Two weeks of paid time off (in addition to 13+ company holidays)</li>
	<li>Professional Development Reimbursement</li>
	<li>Parking stipend for employees who are in office 3+ days per week (Indianapolis only)&nbsp;</li>
</ul>

<h4>Salary</h4>

<p>$140,000 - $150,000 per year</p>

### Description

**Please note: This job posting is not for immediate hire but rather an
opportunity to submit an application for future consideration.**



At The Engineered Innovation Group, we're passionate about building software
that solves problems. We are searching for someone who brings fresh ideas,
demonstrates a unique and informed viewpoint, and enjoys collaborating with a
cross-functional team to develop real-world solutions and positive user
experiences at every interaction.

Specifically, we are searching for a Machine Learning Engineer to help us
define and build the next generation of features and products for our partners
and clients.



## About The Company  

EIG is an innovation group that aims to help organizations create new products
and services that drive growth and a competitive edge. We have clients in the
healthcare, SaaS, sports, AI, supply chain, and marketing industries.



EIG is a small but growing innovation agency located in Indianapolis, IN.
However, we believe that the best talent isn't geographically centralized and
remote work is our norm.



## Our Core Values (And we take them seriously)

**Trust**

We build trusted relationships with our employees, contractors, customers,
vendors, and partners. Trust encompasses delivering projects on time, quality
work, and ensuring our customers' proprietary information privacy and
protection.



**Insatiable Curiosity**

We are incredibly curious, whether it is people, technologies, or academics.
Our curiosity fuels our ability to discover possibilities and make them a
reality.



**Abundance**

We believe that the world is full of opportunities, and even failures are
opportunities. Our job is to identify the opportunities and leverage them to
make a positive impact.



**Diversity**

Not only does science reveal that the crux of creativity is in having a team
of diverse backgrounds and voices, but it is also the right thing to do.



**Measured Creativity**

Contrary to popular belief, creativity is not free form. Creativity is served
by free-form thinking and techniques, but we believe creativity is as much
science as an art.

## About You

  * You have hands-on experience training and implementing machine learning models using tools at scale, such as PyTorch, TensorFlow, Python and associated packages.
  * You have a strong track record of taking new research ideas in Machine Learning into production. 
  * You have experience with model training, deployment, and serving using cloud environments  and the associated tools and technologies.
  * You understand the architecture and development workflow for large-scale batch and streaming machine learning systems. 
  * You're insatiably curious and love learning new things and applying those learnings to your work
  * You love to work across multiple projects and different industries
  * You are comfortable working across various projects
  * You have experience working with agile teams
  * You're able to work with offshore teams in various time zones

## What You Will Do

  * Develop, optimize, and deploy machine learning algorithms and models for various applications, such as natural language processing, computer vision, recommendation systems, and predictive analytics.
  * Clean, preprocess, and transform large datasets to extract relevant features for training machine learning models. 
  * Implement state-of-the-art machine learning algorithms using popular frameworks and libraries such as Tensorflow/Keras, PyTorch, or scikit-learn. Train and fine-tune models using appropriate training techniques (e.g., supervised, unsupervised, reinforcement learning) and evaluate their performance using suitable metrics.
  * Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Ensure seamless integration of models with existing systems and optimize their performance in real-world scenarios.
  * Conduct exploratory data analysis to gain insights and identify patterns or trends in the data. Communicate findings effectively through visualizations, reports, and presentations to stakeholders.
  * Stay updated with the latest advancements in the field of machine learning, deep learning, and artificial intelligence. Evaluate and implement state-of-the-art techniques to improve model performance and solve complex business challenges.
  * Collaborate with a multi-functional, agile team, spanning data science, design, product management, engineering, and domain experts, to understand requirements, develop solutions, and deliver high-quality products. Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members when necessary.

## Preferred Skills and Experience

  * Bachelor's degree in Computer Science, Data Science, Machine Learning, or a similar field or related field of study
  * 3+ years of real-world experience in a data science or machine learning engineering role
  * Previous experience as a data scientist or machine learning engineer in a similar role
  * Detailed knowledge of machine learning concepts and models, including modern deep learning frameworks
  * Technical expertise in model development and deployment, data mining, and building data pipelines
  * Strong development experience through hands-on coding in Python
  * Hands-on experience with implementing models using scikit-learn, Tensorflow or PyTorch
  * Strong understanding of MLOps best practices
  * Strong numerical, statistical and analytical skills
  * Experience and familiarity with at least one cloud platform; Google Cloud Platform (GCP) is a plus
  * Exceptional verbal, written, and presentation skills.
  * Ability to work effectively both independently and as part of a team, including customer teams

## Benefits

  * Health, vision, and dental insurance
  * $100 per month technology stipend
  * $100 monthly health stipend (to apply to gym memberships, fitness classes, etc.)
  * Two weeks of paid time off (in addition to 13+ company holidays)
  * Professional Development Reimbursement
  * Parking stipend for employees who are in office 3+ days per week (Indianapolis only) 

#### Salary

$140,000 - $150,000 per year

