Machine Learning Engineer

Major Responsibilities Include

• Understand the customer’s business need and guide them to a solution using your preferred stack
• Provide expertise in the development of ETL solutions
• Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
• Use Deep Learning frameworks like PyTorch, Tensorflow and MxNet to help our customers build DL models.
• Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
• Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.
• Assist customers with identifying model drift and retraining models.
• Research and implement novel ML and DL approaches.

Basic Qualifications

• BS or Masters degrees in computer science, engineering, or related technical, math, or scientific field
• 7+ years of professional experience in a business environment
• 7+ years of experience of IT platform implementation in a highly technical or analytical role
• 3+ years of experience handling large datasets
• 3+ years Application Development experience required with cloud technologies
• 3+ years of experience with database flavors of RBDMS, NoSQL, Graph, or Search
• Strong understanding of DevOps practices with practical hands-on application
• Strong understanding of code management and code deployment
• Proficiency developing software code in one or more programming languages (Java, Scala, Python, etc.)
• Strong interest in Machine Learning solutions
• Strong verbal and written communications skills and ability to lead effectively across organizations

Preferred Qualifications

• 2+ years of relevant experience in building large scale machine learning or deep learning models and/or systems
• 3+ years of hands-on experience in implementation of Big Data systems like Hadoop/Spark clusters
• 3+ years Application Development experience required with serverless technologies
• 2+ years IoT hands-on implementation experience (edge computing preferred)
• 2+ years of experience with Streaming technologies (Kafka, Kinesis, etc.)
• 3+ years working with enterprise customers
• AWS DevOps Professional, Developer Associate, or Ops Associate certification
• 1+ years hands-on experience with MXNet, TensorFlow, or PyTorch
• Experience training distributed ML models on CPU and GPU hardware
• Serving ML models through realtime APIs
• Experience deploying production-grade machine learning solutions on public cloud platforms

What we offer

• Stimulating work environment
• Attention to the aspirations and needs of each team member
• Smartworking / flexible working hours

Place of work: Remote

Type of contract: Full time

Additional Information
Space Whale is an indie game studio with experience in developing and publishing VR, AR and multiplatform games.
We’re a team of passionate and highly skilled people with the goal to craft the most engaging and exciting games for our players, on different platforms.
We will evaluate the applications received regardless of different personal and cultural characteristics or orientations; if you are among the candidates rated most in line with the required profile, you will be contacted to continue the selection process.