Machine Learning Engineer (Freelancer)

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Mactores is a team of emerging technologists, data engineers, and data scientists driven by excellence in technology to solve critical business problems. We help bridging complex business challenges with technical expertise. Specializing in AI, Fast Data, Industrial IoT and Cloud helps us collaborate with organizations that view technology as a strategic driver to success.

As a Machine Learning Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. 
If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid corporate culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.What you will do?

• Understand the business drivers and analytical use-cases. 
• Translate use cases to data models, descriptive, analytical, predictive, and engineering outcomes.
• Explore new technologies and learn new techniques to solve business problems creatively
• Think big! and drive the strategy for better data quality for the customers.
• Become the voice of business within engineering and of engineering within the business with customers.
• Collaborate with many teams - engineering and business, to build better data products and services
• Deliver the projects along with the team collaboratively and manage updates to customers on time

What we're looking for

• Hands-on experience in data modeling, data visualization, and pipeline design and development
• Hands-on exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
• Prior experience working with business stakeholders, in an enterprise space is a plus
• Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
• Experience in working independently and driving projects end to end, strong analytical skills.