SatSure

Senior Machine Learning Researcher

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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

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Wildlife Studios

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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

Senior Machine Learning Researcher needed for deep tech company SatSure, working on earth observation data for agriculture, infrastructure, and climate action. Must-haves: deep learning, statistical modeling, Python, ML frameworks (TensorFlow/PyTorch).

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 Seeking an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications. Key responsibilities include model development for segmentation, object classification, crop monitoring, and disaster management. Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and strong research skills are essential. Advanced degree required. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. Roles and Responsibilities: <ul><li>Implementing deep-learning models and/or frameworks that can be used in scene/semantic/panoptic segmentation, object classification, synthetic data generation using earth observation data in agriculture and infrastructure domain.</li><li>Design and implement performance evaluations frameworks for incremental and step function improvements.</li><li>Exploring and developing new methods for improving detection/classification performance</li><li>Building model monitoring and active learning pipelines to address the target and data shifts happening in the domain.</li><li>Building models to solve open research problems on LULC, crop classification, change monitoring and disaster management etc from earth observations.</li><li>Define and implement performance metrics for the research problems and be very methodical / organized with experiment management and performance evaluations.</li></ul>
 Qualifications: <ul><li>Master’s degree or PhD in Engineering, Statistics, Mathematics or Computer Science, Machine Learning / Deep Learning domains</li><li>5-8 years of experience in machine learning based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning etc.</li></ul>
 Must-Haves: <ul><li>Experience with tools/frameworks from theoretical and practical aspects of computer science and ML/DL. This includes probability, statistics, learning theory etc.</li><li>Prior experience working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs etc include sequence networks eg LSTMs</li><li>Proficiency in any programming language, preferably Python, with hands-on experience in using ML frameworks such as Tensorflow/Pytorch, Pytorch Lightning, MxNet etc</li><li>Ability to design, develop, optimize for machine learning/ deep learning models</li><li>Knowledge of application of ML for earth observation data, is good to have</li><li>Appetite for research and implementing innovative solutions for complex problems</li></ul>
 Benefits: <ul><li>Medical Health Cover for you and your family including unlimited online doctor consultations</li><li>Access to mental health experts for you and your family</li><li>Dedicated allowances for learning and skill development</li><li>Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves</li><li>Twice a year appraisal</li></ul>
 Interview Process: <ul><li>Intro call</li><li>Assessment</li><li>Presentation</li><li>Interview rounds (ideally up to 3-4 rounds)</li><li>Culture Round / HR round</li></ul>

 
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