19 Data Mining jobs in Kuwait

• Analyzing complex data sets to provide insights and recommendations.
• Developing algorithms and statistical models to extract valuable information from data.
• Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions.
• Presenting findings and recommendations to stakeholders clearly and concisely.
• Keeping up-to-date with advancements in data science and technology.

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work collaboratively in a team environment.

Management Consultant (Data, AI & Analytics)

Whether you are starting out as a Junior, growing as a Senior, or ready to lead as an Engagement Manager, we are hiring across all levels.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing?

• Involved in managing projects across Data, AI & Analytics, ensuring end-to-end execution and timely delivery.
• Break down and structure complex client challenges into clear, actionable solutions.
• Create compelling client proposals, business development materials, and presentation decks.
• Bridge the gap between technical and business teams by translating complex data and technical concepts into clear business insights.
• Contribute to the expansion of our data consulting practice

What are we looking for?

• You must have prior management consultancy experience, ideally within Strategy Consulting or Data Consulting.
• Graduated from a Business school or an Engineering Program
• We are looking for profiles with a dual focus on “business” and “data”
• You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service, etc).

Innovation : We have a passion for creating impactful projects and believe innovation can come from anyone.

Action: We make things rather than telling people how to make them.

Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.

3 weeks ago Be among the first 25 applicants

BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.

In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.

Requirements

• Experience: 3-5 years
• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python
• Outstanding analytical and problem-solving skills
• Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus
  
  

• Study and transform data science prototypes
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Deploy the trained models and build REST APIs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Study project Requirements
• write technical details at BRDs
• Keep abreast of developments in the field
  
  

• Paid Time Off
• Work From Home
• Performance Bonus
• Training & Development

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions
  
  

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long
  
  

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project
  
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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