Join our Team As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we've made it our business to make a mark. Being part of Ericsson empowers you to learn, lead and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team. Within the Solution Area Cognitive Networks Solutions Software R&D (SA CNS SW R&D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently coupled with the appropriate testing. Are you ready to write the future with us? Come, and be where it begins. About this opportunity: We are seeking an experienced ML/MLOps Lead to guide our cross-functional teams through the complete machine learning lifecycle, from initial prototyping to scalable deployment. You won't just be building models; you will be architecting the ecosystem that sustains them. In this pivotal role, you will bridge the gap between experimental data science and production engineering, establishing technical standards and operational frameworks that turn innovative models into reliable business solutions. If you're passionate about bridging the gap between cutting-edge machine learning and production-scale systems, and thrive in a collaborative environment, we'd love to hear from you. What you will do: - Lead the design and implementation of scalable ML infrastructure and deployment pipelines using AWS SageMaker and other cloud-native ML services - Establish MLOps best practices including model lifecycle management, automated testing, monitoring, and governance frameworks - Architect and implement Infrastructure as Code (IaC) solutions for ML workloads, ensuring reproducibility and scalability - Guide cross-functional teams in translating research prototypes into production-ready ML systems - Drive the adoption of software engineering best practices within ML workflows, including version control, CI/CD, and code quality standards - Mentor team members on ML model optimization, feature engineering, and data pipeline design - Collaborate with stakeholders to define technical requirements and ensure alignment between research initiatives and product delivery - Design and implement monitoring and observability solutions for ML models in production - Lead technical decision-making for ML platform architecture and tooling selection The skills you bring: - 5+ years of experience in machine learning engineering with a strong background in both ML/DS and software engineering - Bachelor's or Master's degree in Computer Science, Data Science, or related field - Proven expertise in MLOps platforms, particularly AWS SageMaker (training, deployment, pipelines, model registry) - Strong proficiency in Infrastructure as Code tools (Terraform, CloudFormation, CDK) - Experience with container technologies (Docker, Kubernetes) and ML orchestration frameworks - Solid programming skills in Python, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) - Deep understanding of CI/CD pipelines, version control (Git), and software development lifecycle - Experience with data engineering tools and practices (ETL/ELT, data versioning, feature stores) - Strong communication and mentoring skills with ability to work across technical and non-technical stakeholders Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Egypt (EG) || Cairo Req ID: 775240

• Diseñar, operar y evolucionar nuestra plataforma de AIOps, asegurando que los diferentes productos de inteligencia artificial funcionen de forma fiable, escalable y eficiente. • Trabajar con tecnologías modernas en AWS (Sagemaker), colaborando estrechamente con equipos de data science, ingeniería de datos y producto.

Title: Senior AI / ML Engineer Location: Chicago United States Job Description: CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry's most challenging problems and take calculated risks in a collaborative environment. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. We are seeking a Senior AI / ML Engineer to help define and build how CTC leverages AI across the firm. You will work closely with executive stakeholders to identify where AI creates real leverage for our engineers, quants, and traders, and then build it. The AI landscape is moving fast and the strategy needs to evolve with it - this role carries both the technical and strategic responsibility of figuring out what bets to make and executing on them. This role sits within our Developer Experience organization. WHAT YOU'LL DO - Partner with leadership to shape CTC's AI strategy as the space evolves. - Evaluate emerging AI technologies and make informed recommendations on what to adopt, what to watch, and what to skip. - Build and ship AI capabilities that drive real adoption across engineering, quant, and trading teams. - Work across the firm to understand workflows, identify high-value use cases, and build tools that fit how people actually work. - Establish sensible practices for deployment, security, and governance as the function matures. WHAT WE'RE LOOKING FOR - 7+ years of engineering experience with a strong track record of building and shipping developer tools, platforms, or internal tooling that achieved broad adoption. - Demonstrated applied experience with LLMs and generative AI; deep curiosity and strong opinions about where this space is heading. - Python proficiency required; C++ or low-latency systems experience is a strong plus. - Background working in demanding technical environments - proprietary trading, hedge funds, or similar settings where reliability and developer productivity directly impact the business. - Good judgment about where AI adds value and where it doesn't, in a space that moves quickly. - Comfort with ambiguity and working closely with senior leadership. - Strong communication skills across technical and non-technical audiences. - Financial sector experience strongly preferred. - Advanced degree in Computer Science, Machine Learning, Statistics, Engineering, or related field is a plus. Compensation The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual's skills, experience, qualifications, and firm performance. Salary Range $175,000-$250,000 USD Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need. Our Benefits We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous time off, insurance coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, and a variety of other benefits focused on providing the best employee experience. (Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to Diversity, Equity and Inclusion At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

• Design, build, and maintain scalable systems for serving machine learning models in production • Optimise inference performance, including latency, throughput, and cost efficiency • Collaborate with ML researchers and engineers to productionise models • Implement monitoring, logging, and alerting to ensure system reliability • Identify opportunities to improve infrastructure and drive technical enhancements across the platform • Provide on call support to the services supported by the team