120 Senior Systems Modelling Algorithm Engineer Eng021 jobs in Reading

We want you to #JOINTHEREBELLION!   

For 30 years we’ve been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd. 

We’re seeking a skilled and innovative Machine Learning Engineer to join our cutting-edge ML Team. You’ll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming.

This mid-level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products.

In this role, you’ll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that:

• Generate game levels and 3D worlds.

• Enhance our game products.
• Develop custom tools for our teams.
• Integrate ML and deep learning (DL) models into our production workflows and real-time gaming environments.

You’ll be hands-on from research through deployment, exploring state-of-the-art advancements, running experiments, refining algorithms, and ensuring scalable, high-performance solutions. You’ll work with complex datasets, including tabular, imagery, 3D point clouds, and proprietary game data.

This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition to your new environment. 

We believe in the power of face-to-face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we’re open to discussing hybrid options.

Key Responsibilities: 

• Implementation, and optimisation of ML algorithms and tools for game-level generation and enhancement.
• Collaborate with cross-disciplinary teams (art, design, code) to integrate ML models into real-time game workflows.
• Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models.
• Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production.
• Analyse diverse datasets to inform model architecture and feature engineering.
• Stay current with state-of-the-art ML/DL research and evaluate new technologies for practical application.
• Mentor and guide junior ML engineers, sharing best practices and reviewing their work.
• Present technical findings, progress, and recommendations to stakeholders and leadership.

Requirements

• MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. 

• Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems.

• Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. 

• Hands-on experience with supervised, unsupervised, semi-supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable.

• Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data).

• Proficient with ML frameworks (NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras).

• Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows.

• Outstanding problem-solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines.

Benefits

We offer an extensive benefits package to our team including:

• 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years – one day each year until you reach 31 days)
• Private Medical Insurance, healthcare cash plan, including dental and Vision
• Life Assurance, Income Protection & Critical Illness Cover
• Enhanced Family Leave
• Interest Free, Tax-Free loans
• Enhanced Pension Scheme
• EAP a range of Mental Health and Wellbeing Support
• Plus loads more… including a wide range of discounts, freebies, and social events!

Right to Work Statement

This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship.

Life at Our Oxford HQ

Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces.

Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city’s train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio.

Our open-plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable!

Inside Rebellion

Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms.

Find out more about us here

Our size, stability, and the variety of in-house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work-life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well-being.

We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products.

If you are interested in working at Rebellion, but this role doesn’t sound quite like you, we’re recruiting for a range of positions across the studio and we’re always happy to receive speculative applications via our website. Visit our Careers website to view all our live vacancies: Rebellion: Careers

#LI-Hybrid

**Job Requisition ID #**
25WD8887
**Position Overview**
As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities.
As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem.
Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.
In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.
**Responsibilities**
+ **Cloud-Based Data Preparation:** Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
+ **Optimization:** Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
+ **Model Development:** Develop ML models, building on the latest published research.
+ **Model Improvement:** Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
+ **Integration:** Integrate existing ML models into novel applications.
+ **Application Development:** Develop and deploy applications that integrate AI/ML technology or models.
+ **Problem Solving:** Apply ML methods to address challenges in the CAD/CAM space.
+ **Literature Review:** Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
+ **Collaboration:** Work collaboratively with cross-functional teams to integrate research findings into product development.
+ **Mentorship:** Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
+ **Publication:** Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.
**Requirements**
+ **Research Expertise:** Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
+ **Real-World Experience:** Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
+ **Programming Skills:** Proficiency in Python and JavaScript (required), C++ (optional).
+ **Analytical Skills:** Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
+ **Code Quality:** Natural aptitude for good code and software architecture.
+ **Work Ethic:** Hands-on mentality.
**Preferred requirements**
+ **Cloud Computing:** Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
+ **Governance Understanding:** Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
+ **ML Frameworks:** Experience with ML frameworks for data preparation and training at a large scale.
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Are you a visionary Machine Learning Engineer passionate about pushing the boundaries of artificial intelligence? Our client is a pioneering tech firm looking for a Lead Machine Learning Engineer to spearhead groundbreaking AI projects. This is a fully remote position, offering unparalleled flexibility to work from anywhere in the UK. You will be responsible for the end-to-end development lifecycle of machine learning models, from conceptualization and data preprocessing to deployment and ongoing optimization. This role demands a strong blend of theoretical knowledge and practical expertise in designing, building, and scaling sophisticated ML systems. You will lead a team of talented data scientists and engineers, mentoring them and fostering a collaborative, innovative environment. Key responsibilities include identifying opportunities to apply machine learning to solve complex business problems, developing robust data pipelines, selecting appropriate algorithms and frameworks, and implementing production-ready ML solutions. You will also focus on model evaluation, performance monitoring, and continuous improvement. Expertise in areas such as deep learning, natural language processing, computer vision, or reinforcement learning is highly desirable. The ability to translate business requirements into technical solutions and communicate complex findings to both technical and non-technical audiences is crucial. We are seeking an individual with a proven track record of delivering impactful AI solutions and a deep understanding of software engineering best practices, including MLOps. If you thrive in a remote-first culture, are driven by innovation, and want to shape the future of AI, this is the role for you. Join our client’s world-class team and contribute to cutting-edge advancements.

Key Responsibilities:

• Lead the design, development, and deployment of machine learning models and systems.
• Architect scalable and robust ML pipelines for data processing, model training, and inference.
• Develop and implement advanced ML algorithms, including deep learning, NLP, and computer vision techniques.
• Collaborate with product and engineering teams to identify and prioritize ML opportunities.
• Manage and mentor a team of data scientists and ML engineers.
• Ensure the quality, performance, and scalability of deployed ML solutions through rigorous testing and MLOps practices.
• Stay abreast of the latest research and advancements in AI and machine learning.
• Communicate complex technical concepts and results effectively to diverse stakeholders.
• Drive innovation and best practices in machine learning development.
• Optimize existing ML models for performance and efficiency.
• Contribute to the company’s overall AI strategy and roadmap.

Qualifications:

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive experience in developing and deploying production-level machine learning models.
• Proficiency in programming languages such as Python and associated ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proven leadership experience, with the ability to manage and mentor technical teams.
• Excellent problem-solving and analytical skills.
• Exceptional communication and presentation skills.

Our client, a pioneering AI research and development company based in **Oxford, Oxfordshire, UK**, is looking for a talented and driven Machine Learning Engineer specializing in Natural Language Processing (NLP). This role is ideal for an individual passionate about advancing the frontiers of AI and contributing to cutting-edge projects. You will be responsible for developing, training, and deploying state-of-the-art NLP models, collaborating with a team of world-class researchers and engineers, and contributing to the entire machine learning lifecycle. Key responsibilities include designing and implementing NLP algorithms, conducting research into new NLP techniques, preprocessing and analyzing large text datasets, evaluating model performance, and integrating models into production systems. The ideal candidate will have a strong academic background, with a Master's or PhD in Computer Science, Artificial Intelligence, or a related field, and a proven track record in NLP research and development. Expertise in programming languages like Python and libraries such as TensorFlow, PyTorch, spaCy, or NLTK is essential. You must have excellent analytical and problem-solving skills, with the ability to work independently and as part of a collaborative team. This position requires a deep understanding of transformer models, text generation, sentiment analysis, and other NLP tasks. The role involves hands-on development and requires a commitment to staying at the forefront of AI innovation. You will have the opportunity to work on challenging problems and make significant contributions to the field of artificial intelligence.

Our client, a cutting-edge technology firm specialising in advanced data analytics and AI solutions, is seeking a highly skilled Lead Machine Learning Engineer to join their R&D team based in Oxford, Oxfordshire, UK . This is an exciting opportunity to work at the forefront of artificial intelligence, developing and deploying sophisticated machine learning models that drive innovation across various industries. As the Lead ML Engineer, you will be responsible for designing, implementing, and optimising machine learning algorithms and systems, from initial data exploration and feature engineering to model training, validation, and production deployment. You will lead a team of talented ML engineers and data scientists, providing technical guidance, mentorship, and strategic direction. Key responsibilities include researching and evaluating new ML techniques, developing robust data pipelines, collaborating with software engineers to integrate ML models into production environments, and ensuring the scalability and performance of our AI solutions. The ideal candidate will have a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with extensive experience in building and deploying machine learning models in real-world applications. Strong programming skills in Python, proficiency with ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and a solid understanding of cloud platforms (AWS, Azure, GCP) are essential. Experience with MLOps practices, containerisation technologies (Docker, Kubernetes), and big data technologies (Spark, Hadoop) is highly desirable. You will be expected to stay current with the latest advancements in AI and machine learning, contribute to academic publications or conferences, and champion best practices within the team. This role requires exceptional problem-solving abilities, a proactive and collaborative work ethic, and the capability to translate complex business problems into effective ML solutions. You will be working within a vibrant ecosystem of research institutions and tech companies in Oxford , contributing to groundbreaking AI projects. Strong communication skills are crucial for collaborating with cross-functional teams and presenting findings to stakeholders. Join us to shape the future of AI.

Responsibilities:

• Lead the design, development, and deployment of machine learning models.
• Develop and maintain robust data pipelines and ML infrastructure.
• Mentor and manage a team of machine learning engineers and data scientists.
• Conduct research into new ML algorithms and techniques.
• Collaborate with software engineering teams for model integration.
• Optimise model performance, scalability, and efficiency.
• Implement MLOps best practices for continuous integration and deployment.
• Stay current with advancements in AI and machine learning research.
• Present technical findings and project updates to stakeholders.
• Contribute to the company's intellectual property and publications.

Qualifications:

• Master's or PhD in Computer Science, AI, or a related quantitative field.
• Minimum of 5 years of experience in machine learning engineering.
• Expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Excellent problem-solving and analytical skills.
• Proven leadership and team management experience.
• Strong communication and presentation skills.
• Familiarity with big data technologies is a plus.

Our client, a cutting-edge technology firm in Oxford, Oxfordshire, UK , is seeking an exceptional Senior Data Scientist with a specialization in Machine Learning. This role is crucial for driving innovation and developing sophisticated predictive models and AI solutions that will power our client's next generation of products and services. You will work with large, complex datasets, employing advanced statistical analysis and machine learning algorithms to uncover insights and create tangible business value. Collaboration with cross-functional teams, including engineering, product management, and business intelligence, will be essential.

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
• Extract, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and opportunities.
• Build and deploy scalable machine learning pipelines for production environments.
• Evaluate model performance, iterate on algorithms, and optimize solutions.
• Collaborate with software engineers to integrate ML models into existing products and platforms.
• Communicate complex findings and insights clearly to both technical and non-technical stakeholders through visualizations and presentations.
• Mentor junior data scientists and contribute to the team's technical growth.
• Stay current with the latest advancements in machine learning, AI, and data science research.
• Develop and maintain robust documentation for models, methodologies, and code.
• Identify new data sources and opportunities for enhancing analytical capabilities.
• Contribute to the company's data strategy and roadmap.
• Participate in code reviews and knowledge sharing sessions.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on machine learning model development and deployment.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
• Strong understanding of statistical modeling, data mining techniques, and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
• Experience in a specific domain relevant to the company's industry is a plus.

Join our innovative team in Oxford, Oxfordshire, UK , and help shape the future of technology.

Our client is at the forefront of innovation and is seeking a talented AI Research Scientist to join their cutting-edge team in Reading, Berkshire, UK . This role focuses on developing novel machine learning algorithms and applying them to solve complex real-world problems. You will be part of a collaborative research environment, pushing the boundaries of artificial intelligence and contributing to the creation of next-generation technologies. This hybrid role offers a blend of in-office collaboration and remote flexibility.

Responsibilities:

• Conduct research and development in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
• Design, implement, and evaluate machine learning models and algorithms.
• Process and analyze large datasets to extract meaningful insights and identify patterns.
• Develop and maintain robust, scalable, and efficient AI systems and pipelines.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
• Stay up-to-date with the latest advancements in AI and machine learning, including academic publications and industry trends.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
• Contribute to the intellectual property portfolio through patents and technical disclosures.
• Present research findings and project progress to technical and non-technical audiences.

Qualifications:

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in AI/ML, demonstrated through publications, patents, or significant project contributions.
• Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
• Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a team.
• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
• Ability to work independently and manage research projects effectively.
• Passion for pushing the limits of AI and creating impactful solutions.

Join a forward-thinking company that values innovation and provides a stimulating environment for research and development. This is an excellent opportunity to make a significant contribution to the field of AI.

Our client, a cutting-edge AI research and development firm, is seeking a highly skilled Senior Machine Learning Engineer to contribute to the advancement of artificial intelligence. This role involves hands-on development of sophisticated ML models and AI solutions. The position offers a hybrid work arrangement, combining the benefits of remote work with collaborative office interactions.

Key Responsibilities:

• Design, develop, and deploy advanced machine learning models and algorithms.
• Implement and optimise deep learning architectures for various applications.
• Process, clean, and analyse large datasets to extract valuable insights.
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into products and services.
• Build and maintain robust ML pipelines for training, evaluation, and deployment.
• Stay abreast of the latest research and advancements in machine learning and AI.
• Evaluate and select appropriate ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Develop strategies for model validation, performance monitoring, and continuous improvement.
• Write high-quality, maintainable, and efficient code in languages such as Python.
• Contribute to the architectural design of AI systems.
• Mentor junior ML engineers and provide technical leadership.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Identify and address potential biases and ethical considerations in ML models.
• Conduct rigorous testing and experimentation to validate model performance.
• Publish research findings and contribute to the broader AI community.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of hands-on experience in machine learning engineering.
• Proficiency in programming languages such as Python, Java, or C++.
• Expertise with ML frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
• Strong understanding of statistical modeling, data mining, and algorithm design.
• Experience with data processing and manipulation techniques.
• Knowledge of cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience with MLOps practices and tools is highly desirable.
• Proven ability to work on complex, end-to-end ML projects.
• Published research in reputable AI conferences or journals is a strong plus.

This role is located in Reading, Berkshire, UK , and is offered with a hybrid work model.

Our client is a pioneering AI research company looking for an exceptional AI Research Scientist specializing in Machine Learning to join their fully remote team. This is an exciting opportunity to work at the forefront of artificial intelligence, contributing to groundbreaking research and development in a collaborative, remote-first environment. You will be responsible for designing, implementing, and evaluating advanced machine learning models for various applications. Key areas of focus include deep learning, natural language processing, computer vision, and reinforcement learning. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record. You should have hands-on experience with Python and major ML frameworks such as TensorFlow, PyTorch, or Keras. This role requires strong analytical and problem-solving skills, excellent communication abilities, and the capacity to work independently and effectively within a distributed team. You will collaborate with other researchers and engineers to push the boundaries of AI technology.

Key Responsibilities:

• Conduct cutting-edge research in artificial intelligence and machine learning.
• Develop, implement, and test novel ML algorithms and models.
• Analyze and interpret complex datasets to extract meaningful insights.
• Collaborate with cross-functional teams on AI-driven projects.
• Stay up-to-date with the latest advancements in AI and ML research.
• Publish research findings in leading academic journals and conferences.
• Contribute to the development of internal AI tools and platforms.
• Mentor junior researchers and contribute to team knowledge sharing.
• Engage in peer review of research proposals and results.
• Drive innovation and translate research into practical applications.

Qualifications:

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• Proven track record of research and publications in top-tier AI conferences/journals.
• Expertise in machine learning, deep learning, and related fields (NLP, Computer Vision, etc.).
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Strong coding and software development practices.