Exness

Machine Learning Engineer

в Exness

5 000 —‍ 6 000 €/мес на руки

📍 Лимассол (Кипр)Помощь с переездом
Специализация
Machine Learning
Уровень
Senior
Английский
B2 — Upper-IntermediateB2 — Upper-Intermediate

With over 2,100 employees of more than 100 nationalities, Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. Unlimited by time zones, Exnessians from around the world have worked seamlessly together since 2008 to provide our traders with the best possible trading experience. Today, we stand proud with over 650,000 active traders and 4+ trillion USD in monthly trading volume.

You will join our newly formed product team, where you will contribute to developing an intelligent chatbot to improve our customers' experience. Your primary focus will be leveraging cutting-edge conversational AI technologies and configuring traditional and large language models (LLM). You will need a passion for technology to make a meaningful impact in this role.

For this role the successful candidate should be based/relocate to Cyprus, therefore If you would like to learn about relocation opportunities to Cyprus, please ask about additional information on the first interview with TA Specialist.

Stack

OpenAI GPTBERTLlamaLangChainLlamaIndexHaystackTensorFlowPyTorchPythonPandasNumPyScikit LearnCI/CDDockerKubernetes

You will

  • Develop, implement, and optimize state-of-the-art LLM applications for our customer support service.
  • Work inside the cross-functional product development team and integrate ML models into the chatbot ecosystem to improve user experience.
  • Fine-tune new LLM models, deploy them in production, write bindings for microservices.
  • Be responsible for model monitoring and maintenance. After the model is ready, we aim to monitor its metrics to understand when we should interfere and update the model.

What makes you a great fit

  • MS degree in computer science or a similar field or demonstrable working experience in software engineering.
  • Three or more years of the machine learning experience.
  • Knowledge of chatbot technologies and building conversational AI systems.
  • A deep understanding of modern LLMs (OpenAI GPT-*, Google BERT, Llama, etc.).
  • Experience with frameworks for developing applications powered by LLM, like LangChain, LlamaIndex, Haystack.
  • Experience in deploying and fine-tuning LLM on GPU.
  • Good understanding of mathematical statistics and probability theory.
  • Strong experience with machine learning, particularly NLP technologies, and the TensorFlow or PyTorch frameworks.
  • Proficiency in Python and relevant Python libraries (Pandas, NumPy, SciKit-Learn, etc.).
  • Experience in building and deploying AI models in a production environment.
  • Three or more years of industry experience in software engineering in Python (REST, FastAPI).
  • Ability to build applications and familiarity with best practices such as CI/CD, testing, and coding standards.
  • Experience with DevOps stack (Docker, K8s).
  • At least an upper-intermediate level of English.

What we offer along the way

  • Competitive and attractive compensation.
  • Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops.
  • Flight tickets, hotel or apartment accommodation for your first month, migration support, and legal help for you and your family.
  • Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care.
  • Generous time off, including 21 days of annual leave and paid sick leave.
  • Education allowance for your children’s school and kindergarten fees.
  • Access to our very own sports club with dedicated coaches, free Sanctum Club memberships for you and your spouse, corporate SUPs, jet skis, etc.
  • A branded company car with a parking space near the office.
  • Outstanding team-building experiences and Exness community gatherings.

Your journey after applying

  • First interview (up to 1 hour).
  • Short online English test (for non-native speakers).
  • 1st Technical interview (1 hour).
  • 2nd Technical Interview (1 hour).
  • Final interview (1 hour).
  • Team interview (up to 1 hour).
Кристина Азовцева Talent Acquisition Specialist
Exness

О компании Exness

Сфера
Банки / Финтех
Инвестиции
Приватное финансирование
Размер
1001+

Exness Group is a global multi-asset broker that was founded in 2008 with the mission to reshape the online trading industry. We aim to maximize our client's potential when trading the markets by offering better-than-market conditions on currencies, crypto, stocks, indices, metals, and commodities.

Our fresh scientific and ethical approach has resonated with traders around the world, and the company has gone from strength to strength, with trading volumes hitting new monthly records in 2023 at $4 trillion from an active client base of 650,000.We think business and act human. Our growing community has more than 2,0100 employees in offices located in Asia and Europe.

Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. We are constantly expanding into new markets, and we're looking for a passionate team to help us grow. If you are looking for a new challenge and want to be a part of the future of online trading, please check out our open positions.

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