Position: Trainee ML developer
Company: GlobalLogic
Category: Python
Experience required: no_exp
English level: intermediate
Published: 2020-12-01T00:00:00+02:00

GlobalLogic is building an analytical platform for the client. A platform which will be gathering information about some companies from various sources, will normalize it according to the predefined flow and will show it to the user as a set of analytical dashboards. The gathered and processed information will let the customers make decisions regarding the business state of the investigated companies. Analytical information will help customers to predict the future state of the appropriate companies and improve customer’s business processes.

The project is aimed to define and bring to life a digital platform that connects the client employees with relevant and meaningful information about their portfolio holdings, enabling insights and action.

Requirements

A mathematician or relevant education
Good understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, GBM, xGBoost , etc
Practical experience with data mining, data visualization
Python
Good applied statistics skills, such as distributions, statistical testing, regression, etc.

nice to have:

Practical experience with Rest API (Flask, Tornado)
Practical experience with Tensorflow

Experience with MapReduce, Hadoop, Spark
Familiarity with Scala, Java

Responsibilities

Undertaking data collection, preprocessing and analysis
Analyze large amounts of information to discover trends and patterns
Building models to address business problems
Presenting information using data visualization techniques
Collaborate with engineering and product development teams

We Offer

Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to participate in creating market-defining products using the latest technologies.

Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible opportunities and options.

Professional Development: Our dedicated Learning & Development team regularly organizes certification and technical / soft skill training to help you realize your professional goals.

Excellent Benefits: We provide our consultants with competitive compensation and benefits

Fun Perks: We want you to love where you work, which is why we host sports classes, cultural, social and team building activities such as sports competitions and end-of-year corporate parties. Our vibrant offices also include dedicated GL Zones and rooftop decks where you can drink coffee or tea with your colleagues over a game of table football or darts!

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic unites over 16,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred company by both global HR consulting firms and local boards. By creating an environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our consultants to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.