• Design and implement machine learning pipelines with a focus on computer vision and deep learning • Identify, extract and process data from relevant data sources for model development • Create tests and evaluations to assess the application performance of machine learning models • Collaborate closely with our software and product teams • Continuously develop yourself and think outside the box

Role Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. If you have a knack for shipping high-quality, extremely impactful products, we need you on our team. - Understand business objectives and develop models that help to achieve them, along with metrics to track their progress. - Manage available resources such as hardware, data, and personnel to ensure timely delivery. - Research & Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability. - Explore, visualize, and identify differences in data distribution that could affect performance when deploying the model in the real world. - Verify data quality, and/or ensure it via data cleaning. - Supervise the data acquisition process. - Find available datasets online that could be used for training. - Define validation strategies. - Define the preprocessing or feature engineering to be done on a given dataset. - Define data augmentation pipelines. - Train models and tune their performance. - Analyze the errors of the model and design strategies to overcome them. - Deploy models to production. Qualifications - Strong problem-solving skills. - 7+ years of demonstrated history of machine learning design and end-to-end deployment. - Proven experience with building recommendation engines is a big plus. - Proficiency with a deep learning framework such as TensorFlow. - Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. - Expertise in visualizing and manipulating big datasets. - Proficiency with LLMs like ChatGPT. - Proficiency with OpenCV. - Proficiency with LangChain, PineCone. - Ability to select hardware to run an ML model with the required latency. - Familiarity with Firebase and Google Cloud. - Strong communication skills (written and verbal). - Analytical and data-driven to separate signal from the noise. - You must be a world-class individual contributor to thrive at Taffi. Culture at Taffi We’re highly energetic, insanely hardworking individuals who are extremely happy about the work we do. We’re diverse & distributed. We work remotely across 5 time zones, and our team is a game changer. We move fast but also find time to laugh and get to know more about each other's cultures and backgrounds. We believe in individual freedom, and with freedom comes great responsibility as we don’t like to involve or manage your work. Most of us wear multiple hats, sometimes even taking up responsibilities that are not in our role which needs an individual to be super curious and pretty open about the work responsibility.

Libertex Group Overview  Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends.  The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of KICK Sauber F1 Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview  We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions. Responsibilities: - Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions. - Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications - Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation. - Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring. - Implement new and support existing LLM projects (chatbots, knowledge base etc).

Role DescriptionAs a Machine Learning Intern, you’ll contribute to advancing Dropbox’s mission to create a more enlightened way of working through cutting-edge research and applied machine learning. You’ll collaborate with experienced engineers and researchers to design, prototype, and evaluate scalable AI/ML systems that power Dropbox Dash’s universal search and intelligent organization features. Your work will shape how millions of people find information, collaborate, and focus on meaningful work. This internship offers the opportunity to translate your research into real-world impact while gaining experience with large-scale production systems and cross-functional collaboration in a fast-moving, high-impact environment. Responsibilities - Research and prototype innovative machine learning approaches in areas such as Search, Large Language Models (LLMs), Multimodal Content Understanding, and Recommender Systems - Design and implement end-to-end ML pipelines—from data exploration to model training, evaluation, and deployment—in collaboration with mentors and product teams - Analyze large-scale datasets to identify opportunities for personalization and improved user experiences - Partner with Product, Design, and Engineering teams to integrate models into Dropbox products - Contribute to the team’s technical discussions, offering research-based perspectives to guide experimentation and long-term strategy Requirements - Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI - Graduation date in Winter 2027 or Spring/Summer 2028. - Proven experience in applied AI, through research publications, significant projects, or internships where you built or tested advanced ML solutions. - Strong coding skills (e.g., Python, PyTorch, scikit-learn, or similar ML libraries), plus an ability to quickly prototype and iterate on cutting-edge ideas. - Curiosity and drive to explore novel ML methodologies and translate them into practical applications that solve user needs. - Research experience in one or more of the following: Natural Language Processing, Large Language Models, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Graph Learning - Strong analytical and problem-solving skills, with the ability to bridge research and practical application - Excellent communication and collaboration skills, especially in interdisciplinary teams - Familiarity with modern ML infrastructure and large-scale data systems Preferred Qualifications - Publications in top-tier ML, AI, or NLP conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, KDD, SIGIR, CVPR) - Experience with LLM-based applications or Retrieval-Augmented Generation (RAG) systems - Interest in translating research insights into product impact for real-world users - Familiarity with the end-to-end process of building AI prototypes: from data exploration and model iteration to evaluation and user testing. - Passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals. CompensationUS Pay Range $11,500—$12,500 USD