deep learning engineer

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 65+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.
We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.
You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.
Up to break barriers and shape what's next for the future of Revolut&rsquo;s AI-driven capabilities? Let's get in touch.
What you&rsquo;ll be doing<ul><li>
Building AI-driven features from scratch, like personal assistants, chatbots, copilots, and more</li><li>
Developing user-focused and backend features using deep learning</li><li>
Delivering impactful, scalable, data-driven AI solutions</li><li>
Collaborating with Product, Engineering, and Data teams to solve deep learning challenges</li><li>
Integrating cutting-edge AI technologies to drive innovation at Revolut</li></ul>
What you'll need<ul><li>
Experience in deep learning within natural language processing area and large language models</li><li>
A bachelor's degree in a STEM major (mathematics, computer science, engineering)</li><li>
Excellent knowledge of data science (Python, SQL) and production tools</li><li>
A deep understanding of probability and statistics fundamentals</li><li>
Big-picture thinking to correctly diagnose problems and productionise research</li><li>
Excellent communication and collaboration skills to partner with Product Owners and business heads</li></ul>
Nice to have<ul><li>
A master's or PhD in a quantitative discipline</li><li>
Solid experience with additional programming languages, such as Java, Scala, C++</li><li>
Experience at a large tech company worth &gt;$15B</li><li>
School/university Olympic medal competitions in physics, maths, economics, or programming</li></ul>
Compensation range<ul><li>
Krakow: PLN17,200 - PLN37,500 gross monthly*</li><li>
Poland: PLN17,200 - PLN37,500 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
Notice: This is a remote position based in United Arab Emirates.</div>

Data Scientist (NLP Deep Learning Engineer)

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

IUNU

<div>At IUNU (&ldquo;you knew&rsquo;), we&rsquo;re revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry. 
 
Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we&rsquo;d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. 
 
Responsibilities<ul><li>
Study and transform data science prototypes</li><li>
Design machine learning systems</li><li>
Research and implement appropriate ML algorithms and tools</li><li>
Develop machine learning applications according to requirements</li><li>
Select appropriate datasets and data representation methods</li><li>
Run machine learning tests and experiments</li><li>
Perform statistical analysis and fine-tuning using test results</li><li>
Train and retrain systems when necessary</li><li>
Extend existing ML libraries and frameworks</li><li>
Keep abreast of developments in the field</li></ul> 

Requirements<ul><li>
3-5 years of proven experience as a Machine Learning Engineer or a similar role</li><li>
Strong experience with Deep Learning</li><li>
Understanding of data structures, data modeling, and software architecture</li><li>
Deep knowledge of math, probability, statistics, and algorithms</li><li>
Ability to write robust code in Python, Java, and R</li><li>
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)</li><li>
Excellent communication skills</li><li>
Ability to work in a team</li><li>
Outstanding analytical and problem-solving skills</li><li>
BSc in Computer Science, Mathematics, or a similar field; a Master&rsquo;s degree is a plus</li></ul> 

Diversity 
At IUNU, we&rsquo;re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.
eJVMiKCwhq</div>

Applied Machine Learning Engineer

Accenture

Project Role : AI / ML Engineer 
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
Must have skills : Machine Learning 
Good to have skills : NA 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in developing and deploying chatbots and conversational agents. - Familiarity with image processing techniques and tools. - Ability to work with large datasets and perform data preprocessing. Additional Information: - The candidate should have minimum 7.5 years of experience in Machine Learning. - This position is based at our Hyderabad office. - A 15 years full time education is required.
 
15 years full time education

AI / ML Engineer

Project Role : AI / ML Engineer 
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
Must have skills : Large Language Models 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, utilizing generative AI models, and exploring various AI methodologies such as deep learning and neural networks. You will collaborate with cross-functional teams to ensure the seamless integration of AI technologies into existing systems, contributing to innovative projects that enhance operational efficiency and user experience. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Evaluate and integrate new AI technologies and methodologies into existing systems. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for AI deployment. - Familiarity with natural language processing techniques. - Knowledge of data preprocessing and feature engineering. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.
 
15 years full time education

DataEconomy

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>12/04/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Pune City
</div></div><div>State/Province
<div>Maharashtra
</div></div><div>Country
<div>India
</div></div><div>Zip/Postal Code
<div>411001
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>About DATAECONOMY: We are a fast-growing data &amp; analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data &amp; analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>Data Scientist 
Location &ndash; Balewadi, Pune 
Job Type - Permanent 
We are on the lookout for a resourceful and proficient AI Engineer / Developer to join our forward-thinking team. The ideal candidate will not only possess a strong foundation in Python programming, advanced mathematics, and algorithms, but also have specialized knowledge in Generative AI (GenAI) and Large Language Models (LLMs). This role is pivotal in developing machine learning and deep learning models, understanding and applying various neural network architectures, and handling intricate data processing and visualization. The successful candidate will be adept in natural language processing, deploying AI and ML solutions, and upholding AI security. 
Key Responsibilities:<ul><li> 
 Develop and refine machine learning and deep learning models.</li><li> 
 Apply expertise in neural network architectures, specifically for GenAI and LLM applications.</li><li> 
 Handle complex data processing, cleaning, and visualization tasks.</li><li> 
 Utilize natural language processing techniques for advanced AI solutions.</li><li> 
 Efficiently deploy AI/ML models in production environments, focusing on scalability and robustness.</li><li> 
 Uphold and enhance AI security measures to protect systems and data.</li><li> 
 Collaborate with cross-functional teams to integrate AI solutions, particularly GenAI and LLMs, into broader systems and applications.</li><li> 
 Stay abreast of the latest trends and advancements in AI, machine learning, GenAI, and LLMs.</li></ul> 
Requirements<ul><li> 
 Proficiency in Python programming.</li><li> 
 Advanced knowledge in mathematics and algorithm development.</li><li> 
 Experience in developing machine learning and deep learning models.</li><li> 
 Strong understanding of neural network architectures, with emphasis on GenAI and LLMs.</li><li> 
 Skilled in data processing and visualization.</li><li> 
 Experienced in natural language processing.</li><li> 
 Knowledgeable in AI/ML deployment, DevOps practices, and cloud services.</li><li> 
 In-depth understanding of AI security principles and practices.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3>
Requirements<ul><li> 
 Proficiency in Python programming.</li><li> 
 Advanced knowledge in mathematics and algorithm development.</li><li> 
 Experience in developing machine learning and deep learning models.</li><li> 
 Strong understanding of neural network architectures, with emphasis on GenAI and LLMs.</li><li> 
 Skilled in data processing and visualization.</li><li> 
 Experienced in natural language processing.</li><li> 
 Knowledgeable in AI/ML deployment, DevOps practices, and cloud services.</li><li> 
 In-depth understanding of AI security principles and practices.</li></ul></div></div></div>

GenAI Engineer

Excel Global Solutions

Job Description:Programming: Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).Machine Learning: Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.Deep Learning: Experience with deep learning frameworks and architectures (e.g., CNNs, RNNs, Transformers).Large Language Models (LLMs):<ul><li>Experience with LLM architectures and APIs (e.g., GPT, BERT, etc.).</li><li>Demonstrated ability to fine-tune, prompt engineer, and apply LLMs to specific tasks.</li><li>Understanding of the strengths and limitations of current LLMs.</li><li>Experience with experimenting with LLMs.</li></ul>Data Science: Solid foundation in data analysis, data visualization, and statistical modeling.Database Knowledge: Experience with SQL and NoSQL databases.Cloud Platforms: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services.Version Control: Proficiency with Git and GitHub.Problem-Solving: Excellent analytical and problem-solving skills.Job Type: Full-timePay: &#8377;1,000,000.00 - &#8377;2,200,000.00 per yearApplication Question(s):<ul><li>How many years of years of experience do you have as a python developer?</li></ul>a)4 years b)More than 5 years<ul><li>Can you start immediately for this role?</li></ul>a)Yes b)No<ul><li>How many years of experience do you have working as AI/ML Engineer?</li></ul>a)3 years b)More than 3 yearsWork Location: Remote

AI/ML Engineer

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