machine learning

Advansys

<ul>
<li>Lead the design and development of machine learning systems and deep learning models.</li>
<li>Design and implement machine learning models using AWS services like SageMaker, Lambda, and EC2.</li>
<li>Drive the team's adoption of AWS best practices for machine learning and AI.</li>
<li>Run machine learning tests and experiments to ensure the robustness and reliability of models.</li>
<li>Implement appropriate ML algorithms and tools for various applications.</li>
<li>Study and transform data science prototypes into scalable solutions.</li>
<li>Lead initiatives to explore and implement General AI concepts within our cloud-based machine learning models.</li>
<li>Develop strategies to leverage Gen AI for creating adaptive and self-improving AI systems using cloud services.</li>
<li>Research and stay updated with the latest machine learning and cloud services developments.</li>
<li>Collaborate with cross-functional teams to integrate machine learning models into cloud-based applications.</li>
<li>Provide mentorship and technical leadership to the AI/ML development team.</li>
<li>Ensure data governance, security, and compliance measures are in place for AI/ML platforms.</li>
<li>Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li>
<li>Minimum of 8 years of experience in machine learning and AI.</li>
<li>Proven experience as an ML Technical Leader or similar role.</li>
<li>Strong machine learning, statistics, programming, and data science expertise.</li>
<li>Familiarity with cloud service platforms and machine learning frameworks.</li>
<li>Ability to manage multiple projects simultaneously and work under pressure.</li>
<li>Familiarity with cloud data storage, orchestration, and computation services.</li>
<li>Excellent leadership skills with the ability to manage and inspire a team.</li>
</ul>

Machine Learning Lead

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?
Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex computational problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power various aspects of highly complex travel searches, recommendations and advertising.<div>
This is your opportunity to build the core algorithms that drive Expedia Group's advertising marketplace. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive a global ecosystem of advertising partners and millions of travelers across Expedia Group&rsquo;s B2C and B2B platforms.
</div><div>What You'll Do
</div><div><ul><li>Design &amp; Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
</li></ul></div><div><ul><li>Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.
</li></ul></div><div><ul><li>Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.
</li></ul></div><div>Who you are
</div><div>Experience &amp; Education
</div><div><ul><li>PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
</li></ul></div><div><ul><li>3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.
</li></ul></div><div>Functional &amp; Technical Skills
</div><div><ul><li>Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
</li></ul></div><div><ul><li>Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL. Follow software engineering best practices and contribute to the team's shared codebase.
</li></ul></div><div><ul><li>First-Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.
</li></ul></div><div>Highly Desired Experience
</div><div><ul><li>Domain knowledge in online advertising or e-commerce.
</li></ul></div><div><ul><li>Experience building and deploying models using GenAI/LLM technologies.
</li></ul></div>Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Scientist

Viasat

<div>About us:
<div>
One team. Global challenges. Infinite opportunities. At Viasat, we&rsquo;re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We&rsquo;re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.</div>
What you'll do:
<div>
Capacity &amp; Demand Data Modelling is driving advances in data science, analysis, and engineering at Viasat and looking for adeveloper who demonstrates curiosity, adaptability, and enjoys solving tough engineering problems. The team works withcustomers and stakeholders to help drive business value by building applications utilizing our data and machine learningplatforms. This task is an exciting challenge for building solutions starting with research and development following all theway through to engineering and deploying projects into production.</div>
The day-to-day:
<div>
You will work on a production machine learning application that makes real-time revenue-affecting inferences for thebusiness. You will design and implement new features and enhancements to our machine learning application whileproviding ongoing support, monitoring, and maintenance of deployed products. Additionally, you will monitor emergingtechnologies and best practices for potential adoption within the Company.</div>
What you'll need:
<ul><li>5+ years of professional software development experience specialized in Machine Learning</li><li>
A degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Math, Physics,or related field or equivalent work experience</li><li>
Strong communication and presentation skills</li><li>
Ability to work with data science and infrastructure teams to design, implement, and deploy machine learningproducts</li><li>
Proven team player with the ability to multi-task in a fast-paced dynamic agile work environment</li><li>
Advanced proficiency in Python &amp; Machine Learning tools</li><li>
Ability to work with remote team members across time zones</li><li>
Travel up to 10%</li></ul>
What will help you on the job:
<ul><li>5+ years of professional software development experience</li><li>
Strong system, software, and test background including both design and implementation</li><li>
Advanced proficiency in Python</li><li>
Strong understanding of probability, statistics, linear algebra, and calculus</li><li>
Experience with data cleaning, transformation, and feature engineering</li><li>
Experience with Machine Learning Libraries and Frameworks - TensorFlow and/or PyTorch|scikit-learn | Keras</li><li>
Knowledge of various machine learning algorithms &ndash; (Supervised (regression, classification), unsupervised (clustering,dimensionality reduction), and reinforcement learning etc).</li><li>
Familiarity with large language models (LLMs) like GPT-3, GPT-4, LaMDA, or similar architectures.</li><li>
Experience with productionized Machine Learning applications</li><li>
Knowledge of different data formats and sources (e.g., SQL databases, NoSQL databases, cloud storage)</li></ul>
EEO statement:
<div>
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.</div></div><div></div>

Machine Learning Engineer

Magnetar Capital

<div><div>About Magnetar

Magnetar is a leading global alternative asset manager with $22B+ AUM as of May 31, 2025. We are based in Evanston, IL&mdash;just north of Chicago and easily accessible by the &ldquo;L&rdquo;&mdash;with additional offices in New York, London and Menlo Park, CA.

Grounded in two decades of investing experience, we aim to generate consistent performance for our investors by identifying differentiated investment opportunities and building scalable businesses across our core strategies: Alternative Credit and Fixed Income, Systematic Investing, and Venture.

This year, we proudly celebrate our 20th anniversary&mdash;a testament to our legacy of innovation, expertise and commitment to our clients and team.

Magnetar employees are among the best in the business at what they do. Our employees thrive on intellectual curiosity, collaboration and identifying creative solutions to complex problems. Our team is made up of highly skilled, passionate professionals who care deeply about delivering results for our investors, our firm and one another. We are proud to foster an inclusive, welcoming environment that empowers each employee to succeed.

At Magnetar, our commitment to our employees matches our dedication to our work. We offer top-tier benefits including comprehensive health, dental and vision insurance, a 401k match, competitive paid time off, wellness programs, daily lunches, and professional development through Magnetar University. We are also passionate about giving back, supporting financial education and community engagement through our Foundation and various volunteer initiatives.

We hope you&rsquo;ll consider joining us as you explore a career at Magnetar!</div>
Magnetar Capital, LLC seeks Machine Learning Engineer at its facility located at 10 E. 53rd Street, New York, NY 10022.

JOB DESCRIPTION:

Design, develop, and implement machine learning models and algorithms to automate various back-office processes. Engage in work that directly impact the efficiency of operations. Collaborate closely with our infrastructure engineers to ensure that solutions are scalable, secure, and integrated seamlessly into our existing systems. Develop and deploy machine learning models to automate back-office processes, such as trade reconciliation, reporting, compliance checks, and other operational tasks. Work closely with infrastructure engineers to integrate machine learning solutions with existing systems, ensuring scalability and security. Utilize Python, Snowflake, and Databricks to develop data pipelines, preprocess data, and implement machine learning algorithms. Continuously monitor and optimize machine learning models to improve accuracy and efficiency. Collaborate with cross-functional teams to identify areas where machine learning can add value and propose innovative solutions. Stay up to date with the latest advancements in machine learning and apply them to improve our processes. Up to 25% domestic travel required.

REQUIREMENTS:

This position requires a Master&rsquo;s degree, or foreign equivalent, in Computer Science, Data Science, Machine Learning, Information Engineering, or in a related field, plus 2 years of experience as a Machine Learning Engineer, Software Engineer, or related occupation. Additionally, the applicant must have employment experience with: (1) Applying AI techniques to generate investment theses, automate workflows, and produce quantitative model signals; (2) Performing sentiment analysis, conducting model fine-tuning and evaluation, and executing information extraction from unstructured text data; (3) Designing and implementing algorithmic approaches that drive strategic decision-making and optimize investment performance; (4) Constructing and managing robust data frameworks and pipelines to ensure efficient integration and accessibility of critical data; and (5) Developing and applying comprehensive models for investment analysis, risk assessment, and portfolio optimization.

RATE OF PAY: $139,506-$225,000 per year
<div>Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</div></div>

Specright

<div>Job Title: Machine Learning Engineer
Job Summary
Specright is seeking a highly motivated and talented Machine Learning Engineer to join the Shared Services team. As a Machine Learning Engineer, you will have the opportunity to design, develop, and maintain scalable cloud-based ML pipelines, evaluate and provide recommendations based on best practices, and collaborate with other technical team members.
Specright offers cloud-based software (SaaS) for specification data management to Enterprise and Mid-Market level companies with complex needs. Whether it's packaging, formulas, or products, Specright helps companies reduce costs and empower efficiencies by sharing, analyzing and auditing specifications.
Responsibilities and Duties<ul><li>
Design, implement, and maintain ML pipelines to support machine learning model validation and deployment in a cloud-based environment</li><li>
Optimize and enhance existing machine learning systems and data pipelines for improved performance and scalability</li><li>
Collaborate effectively with technical team members to define system requirements and deployment strategies</li><li>
Provide support and troubleshooting to engineers and customers for new and existing deployments</li><li>
Provide support and guidance to other AI/ML team members</li></ul>
Qualifications<ul><li>
Highly experienced in designing and managing scalable ML pipelines in a cloud-based environment such as AWS</li><li>
Experience with scripting languages such as Python and Bash</li><li>
Experience with CI/CD platforms such as Jenkins</li><li>
Experience with NLP (e.g. classification, NER, etc.), LLMs, or Computer Vision (e.g. recognition, detection, segmentation)</li><li>
Ability to code, test, and debug service issues at multiple levels within a stack using multiple languages and platforms</li></ul>
Preferred Qualifications<ul><li>
B.S. or M.S. in Computer Science, Electrical Engineering, or related fields</li><li>
Deep understanding of cross-functional AWS services and organizational cloud management</li></ul>
About Specright
Specright is the first purpose-built, patented platform for Specification Management. Whether it's
packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company's Most Innovative Companies for 2023, had three executives honored as SupplyDemand Chain Executive Pros to Know in 2023 and won Food Logistics' 2022 Top SoftwareTechnology Provider award. For more information, visit: www.specright.com.
Location
Cairo, Egypt.
Culture
We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas and information. It's more important to innovate, then worry about making mistakes.
Perks<ul><li>
Competitive salaries</li><li>
Flexible work hours</li><li>
Full benefits package that includes Medical, Vision, and Dental</li></ul></div>

Bazzle Balloons

What You'll Work OnAs a Junior Machine Learning Engineer, you will:<ul><li>Assist in the design, development, and deployment of machine learning models and pipelines.</li><li>Support the automation of training, evaluation, and deployment workflows.</li><li>Contribute to the implementation of MLOps best practices including versioning, monitoring, and model management.</li><li>Work with tools like Docker, MLflow, Weights &amp; Biases, or similar for reproducible experimentation.</li><li>Collaborate with data scientists, backend engineers, and product teams to deliver production-ready ML solutions.</li><li>Learn to deploy models in cloud environments such as AWS, GCP, or Azure.</li><li>Stay up to date with machine learning advancements and apply relevant techniques to improve performance and scalability.</li></ul>Core Skills &amp; QualificationsWe are looking for someone with:<ul><li>1+ years of experience in machine learning or data science roles.</li><li>Proficient in Python and popular ML libraries like Scikit-learn, Pandas, TensorFlow, or PyTorch.</li><li>Solid understanding of ML concepts such as supervised/unsupervised learning, feature engineering, and evaluation metrics.</li><li>Basic experience working with SQL or NoSQL databases.</li><li>Strong understanding of data structures and algorithms.</li><li>Familiarity with API integration and deploying ML models in production environments is a plus.</li><li>Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) is a plus.</li><li>Experience with tools like MLflow, LangChain, LangSmith, or vector databases is a bonus.</li><li>Good communication skills, a growth mindset, and an eagerness to learn.</li></ul>Nice-to-Have<ul><li>Experience with building and maintaining Retrieval-Augmented Generation (RAG) pipelines, leveraging vector databases and retrieval techniques to enhance LLM-powered applications.</li><li>Familiarity with distributed computing and big data technologies.</li><li>Contributions to open-source ML projects or research publications.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>machine learning or data science roles: 2 years (Required)</li><li>Python: 1 year (Required)</li><li>ML libraries like Scikit-learn, Pandas, TensorFlow, PyTorch.: 1 year (Required)</li><li>SQL or NoSQL databases: 1 year (Required)</li><li>data structures and algorithms: 1 year (Required)</li><li>API integration and deploying ML models: 1 year (Required)</li><li>cloud platforms (AWS, GCP, or Azure) : 1 year (Required)</li><li>containerization tools (Docker, Kubernetes): 1 year (Preferred)</li><li>MLflow, LangChain, LangSmith: 1 year (Preferred)</li><li>vector databases: 1 year (Preferred)</li></ul>Work Location: Remote

PHAZERO

<div>About PhazeRo
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.
Position Overview
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.
Key Responsibilities<ul>
<li>Develop scalable machine learning models and algorithms to solve specific business problems.</li>
<li>Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications.</li>
<li>Implement and optimize model deployment pipelines for production environments.</li>
<li>Evaluate model performance and iterate on designs to enhance accuracy and efficiency.</li>
<li>Research and stay current with the latest advancements in machine learning and artificial intelligence.</li>
<li>Document processes and communicate results effectively to stakeholders.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>2+ years of experience in machine learning, data science, or related roles.</li>
<li>Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop).</li>
<li>Experience in model evaluation metrics and techniques for model validation.</li>
<li>Strong problem-solving skills and the ability to work independently.</li>
<li>Excellent communication skills and a collaborative approach to work.</li>
<li>Passion for machine learning and eagerness to stay updated with industry trends.</li>
</ul>Benefits<ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

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