Emmes

AI Engineer

Senior Software Development Engineer - Fullstack (React/Node)

Senior Data Scientist

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

Wildlife Studios

Data Engineer

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Wildlife's Cloud Economics team in São Paulo, Brazil seeks a Data Engineer to build and maintain a data lake, consolidating information from various sources.  Responsibilities include ETL processes, enhancing data discovery, identifying unused data for optimization (sampling, deletion, storage migration), proposing data modeling improvements (table partitioning, migrating to delta tables), and developing a cost allocation data lake for major technology providers.  The ideal candidate is highly analytical, proactive, and results-oriented, contributing directly to company success.  This role demands strong SQL and Python programming skills, AWS experience, and knowledge of Airflow or similar workflow tools.

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 We're looking for a talented and passionate Data Engineer to join Wildlife's Cloud Economics team in São Paulo, Brazil.
The mission of the Cloud Economics team at Wildlife is to have world-class productivity and efficiency across the company by finding and further investigating efficiency opportunities related to the usage and/or provisioning of technology resources.&nbsp;
As a Data Engineer, you will be responsible for gathering all the information needed into the data lake; build and maintain such a lake permanently. You will also play a key role in developing the analyses and algorithms that identify the patterns and type of usage of our data that allow us to find opportunities to improve its usage and storage.
We know that the work we do has a high impact on our company's success and culture. The right person for this position is curious by nature, and comfortable in a "take the initiative" environment, loves solving problems, and can thrive in a fast and growing business.&nbsp;
<h2>What you’ll do</h2>
<ul>
<li>Be part of a high-output team, directly contributing to company results;</li>
<li>Build the required date lakes and do the corresponding ETL in order to be able to consolidate and query information about multiple data sources;</li>
<li>Enhance our data discovery capabilities;</li>
<li>Identify unused data and propose how to handle it (sampling, deletion, move to colder classes of storage);</li>
<li>Find and propose data modeling optimizations across the data lake to avoid inefficiencies like duplicated data, data normalization, data types, etc. (table partitioning, migrating to delta tables);</li>
<li>Develop an internal cost allocation data lake for our most significant technology providers.</li>
</ul>
<h2>What you'll need</h2>
<ul>
<li>University degree in courses related to computing such as Computer Engineering, Computer Science or a related field;</li>
<li>Solid experience working as a data engineer on technically challenging problems;</li>
<li>Proficiency in programming with SQL and Python;</li>
<li>Experience creating data pipelines;</li>
<li>Knowledge and experience with AWS;</li>
<li>Knowledge and experience with Airflow or other workflow management tool is a differential.</li>
</ul>
<h2>More about you</h2>
<ul>
<li>You are a resourceful person with a go-getter attitude;</li>
<li>You are passionate about the data industry and thirsty for innovation;</li>
<li>You are not afraid to propose and explore new initiatives;</li>
<li>You are a determined and metrics oriented engineer who wants to deliver results;</li>
<li>You have an analytic mindset and focus on ensuring visibility to your clients and peers;</li>
<li>You are passionate about working on and solving problems;</li>
<li>You are a team player. You're willing to help out wherever needed.</li>
</ul>
<h2>About Wildlife</h2>
Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Finland and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
<h2>Equal Opportunity</h2>
Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
We're committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

 

 
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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

Emmes seeks an AI Engineer with 3-8 years of experience in deploying and scaling machine learning models in AWS production environments. Experience with AWS services like SageMaker, Bedrock, Titan, Comprehend, Rekognition, and Transcribe is essential. Must have strong problem-solving, analytical skills, and experience with MLOps & CI/CD pipelines.

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 About the job
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 Overview The Emmes Company, LLC (“Emmes”) is a global, full-service Clinical Research Organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. We believe in the power of truth, so much so that we named our company Emmes, which means truth. Through decades of experience we have learned that collaborative relationships thrive and human health benefits when truth is our compass. Our “Character Achieves Results” culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships and Intellectual Curiosity. We are a trusted partner to clients who share our passion for improving public health in a world of ever-changing scientific research. If you share our motivations and passion in research, come join us! You will be joining a collaborative culture that empowers every Emmes employee — from entry level through top executive — to contribute to our clients’ success by sharing ideas openly and honestly. Primary Purpose Developing and deploying innovative AI solutions using the AWS technology stack. You will be responsible for assisting with automation of the entire AI lifecycle, from data staging, model training and development to deployment, monitoring, and application integration Responsibilities <ul> <ul><li>Design, develop, and deploy machine learning models using AWS services such as Bedrock, Titan, Comprehend, SageMaker as well as Rekognition and Transcribe.</li><li>Effectively integrate, automate, and optimize data pipelines for model training and inference using AWS Glue, S3, and Lambda.</li><li>Implement effective AWS infrastructure for training, testing, and deployi ng machine learning models, including deep learning models such as large language models (LLMs) and integration of foundation models.</li><li>Monitor and maintain deployed models in production, ensuring high performance and accuracy.</li><li>Collaborate with data engineers, data scientists and software engineers to integrate AI models into existing applications and systems.</li><li>Stay up-to-date on the latest advancements in AI and AWS technologies.</li><li>Benchmark and optimize computational performance of AI modeling processes.</li><li>Document and communicate technical findings and solutions effectively. </li></ul>
</ul>
Qualifications <ul> <ul><li>Master's degree in Computer Science, Data Science, or a related field.</li><li>3 to 8 years of experience in machine learning engineering or a related field.</li><li>Experience in deploying and scaling machine learning models in AWS production environments.</li><li>Experience with AWS services such as SageMaker, Bedrock, Titan, Comprehend, SageMaker, Rekognition, or Transcribe</li><li>Experience working with LLMs and foundation models such as provide through AWS Bedrock or Titan.</li><li>Experience with AWS Lambda and Glue.</li><li>Experience with MLOps and continuous integration/continuous delivery (CI/CD) pipelines.</li><li>Understanding of machine learning concepts and algorithms.</li><li>Strong problem-solving and analytical skills.</li><li>Ability to work effectively in a team environment.</li><li>Excellent communication and presentation skills. </li></ul>
</ul>
CONNECT WITH US! Follow us on Twitter - @EmmesCRO Find us on LinkedIn - The Emmes Company, LLC
 
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