Цей дайджест складається з 15 найцікавіших вакансій для ML-інженерів і розробників, які хочуть працювати ML-продуктом, із зарплатою до $8000. Щоб підписатися на нові вакансії з тегом “Machine Learning” — натисніть на посилання, встановлюйте необхідні фільтри доти, поки не залишаться тільки відповідні вакансії, а потім натисніть тумблер «підписатися».
[Kyiv] [Developer] Machine Learning Engineer (PlantIn) @Genesis
- Досвід роботи з Machine Learning алгоритмами від 2+ років.
- Сильні технічні навички в галузі аналізу даних, статистики та програмування. Аналітичне/математичне мислення.
- Відмінні знання в галузі Machine Learning з використанням Python та фреймворків TensorFlow, PyTorch.
- Знання апарату Deep Learning, Residual Networks, SimCLRv2.
[Kyiv] [Developer] Machine Learning Engineer (PlantIn) @Genesis
- Досвід роботи з Machine Learning алгоритмами від 2+ років.
- Сильні технічні навички в галузі аналізу даних, статистики та програмування. Аналітичне/математичне мислення.
- Відмінні знання в галузі Machine Learning з використанням Python та фреймворків TensorFlow, PyTorch.
- Знання апарату Deep Learning, Residual Networks, SimCLRv2.
[Kyiv] [Developer] Machine learning, data scientist @WeFuture
- Proven 2+ years experience as a Machine Learning Engineer.
- Solid understanding of machine learning fundamentals.
- Deep knowledge of math, probability, statistics and algorithms.
- Understanding of data structures, data modeling and software architecture.
- Expertise in visualizing and manipulating big datasets.
- Proficiency with a TensorFlow (Keras) or PyTorch.
- Ability to write robust code in Python.
- Strong proficiency with basic libraries for machine learning (scikit-learn, matplotib, numpy, pandas).
[Remote] [Developer] ML Platform Engineer @Newxel
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent).
- Strong software engineering skills in complex real-time systems.
- Fluency in Python.
- Experience working with AWS cloud technologies such as Sagemaker or equivalent.
- Familiarity with orchestration tools such as airflow and mlflow.
- Exposure to machine learning methodology and best practices.
[Remote] [Developer] ML Engineer @Newxel
- B.Sc. in Mathematics/Statistics/Physics/Computer Science or a related field.
- Strong Python background, specific proficiency with ML libraries (Scikit-learn, Pandas, PyTorch, TF, etc.).
- Practical experience with tabular data and time series.
- Experience in Microservices architecture, cloud technologies, Docker/K8s.
- Ability to design and own a feature through all its phases.
- Fluent English.
[Remote] [Developer] Machine Learning Engineer for Toshiba product @Xenoss
- Experience in ML/AI related to the images/video processing.
- Proficient in Python and C++.
- TensorFlow / Keras / PyTorch.
- Experience in implementing machine learning algorithms on mobile / embedded devices is a plus.
[Kyiv] [Developer] Staff Full Stack Software Engineer @Sift
- 8+ years experience designing/delivering highly-available services.
- Expertise in creating succinct, performant, and easily readable code in Java.
- Expertise with RESTful services.
- Experience in Javascript, HTML, CSS, and related web technologies.
- Experience with distributed systems and/or highly scalable, customer-facing applications.
- Experience using large-scale NoSQL databases like HBase or BigTable.
- Experience with cloud infrastructure (e.g. GCP, AWS).
- Strong Awareness of customer needs and the user experience.
- Strong communication & collaboration skills – a team-first, product-first mindset.
[Kyiv] [Developer] Senior Full Stack Engineer @Sift
- 5+ years experience designing/delivering highly-available services.
- Experience in creating succinct, performant, and easily readable code in Java.
- Experience in Javascript, HTML, CSS, and related web technologies.
- Experience with RESTful services.
- Strong Awareness of customer needs and the user experience.
- Strong communication & collaboration skills – a team-first, product-first mindset.
[Kyiv] [Developer] Senior Backend Software Engineer @Sift
- 5+ years experience designing/delivering highly-available services.
- Experience in creating succinct, performant, and easily readable code in Java.
- Experience with RESTful services.
- Strong Awareness of customer needs and the user experience.
- Strong communication & collaboration skills – a team-first, product-first mindset.
[Lviv/Remote] [Developer] Senior Machine Learning Engineer (Audience segmentation platform) @Sigma Software
- 5+ years of hands-on experience in the AI/ML domain.
- Deep knowledge in one track of ML: NLP and/or image processing, etc.
- Deep knowledge of Python and experience with popular libraries such as NumPy, pandas, and TensorFlow.
- Solid knowledge of the State-of-the-Art DS/ML approaches and techniques.
- Experience in designing and applying solution architectures, taking into account different trade-offs and limitations.
- Experience with AWS.
- Experience with traditional NLP tools such as language modeling, word embedding.
- Strong ability to troubleshoot issues and make ML-system changes as needed to resolve the issue.
- Upper-Intermediate level of English and above.
[Kyiv/Remote] [Developer] ML Engineer Team Lead @Tango Me
- Years of people’s management.
- Experience managing a multidisciplinary team- an advantage.
- Advanced Python knowledge.
- Good understanding of ML principles.
- Strong understanding of designing high performance, fault-tolerant distributed software solutions.
- Experience creating and optimizing big data processes, pipîelines, and architectures.
- Experience in streaming technologies like Spark streaming or Dataflow.
- Experience with Asynchronous messaging using Pub/Sub, Kafka, RabbitMQ, or alike.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Knowledge of CI/CD tools and processes such as Git, GitLab and Jenkins.
- Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL, Redis).
- Familiarity with Unix/Linux OS and shell scripts.
- Strong organizational skills.
[Kyiv/Remote] [Developer] Senior ML Engineer / MLOps @Tango Me
- Advanced Python knowledge.
- Understanding ML principles.
- Strong understanding of designing high performance, fault-tolerant distributed software solutions.
- Experience creating and optimizing big data processes, pipelines, and architectures.
- Experience in streaming technologies like Spark streaming or Dataflow.
- Experience with Asynchronous messaging using Pub/Sub, Kafka, RabbitMQ, or alike.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Knowledge of CI/CD tools and processes such as Git, GitLab and Jenkins.
- Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL, Redis).
- Familiarity with Unix/Linux OS and shell scripts.
- Strong organizational skills.
[Kyiv/Lviv] [Developer] C++ Deployment Engineer @SQUAD
- 2+ years of commercial development experience.
- MS or BS in Computer Science.
- Strong C++ knowledge and CS fundamentals (C++11/14/17 is a plus).
- Hardware knowledge and principles understanding is an asset.
- Experience with cross-platform development and code optimization skills.
- Strong knowledge of algorithms.
- Knowledge of Linux development: IPC; multithreading; daemons; commonly used libraries and interfaces such as STL, boost; TCP/IP networking.
- Basic Python 3 knowledge.
- Good written and spoken English.
[Kharkiv/Remote] [Developer] Machine Learning Engineer @It-Jim
- Has 1+ years of experience in machine learning/data science.
- Has a good understanding of algorithms and data structures.
- Is not afraid of unsolved and challenging problems.
- Is able to read research papers and reproduce the results via prototyping of the methods.
- Is confident in Python and its libraries (numpy, scikit-learn, pandas, seaborn, matplotlib, scipy).
- Is strong in calculus, linear algebra, probability and statistics.
- Is experienced in git.
- Is familiar with Tensorflow, Keras and/or Pytorch.
- Is a good team player and has experience in teamwork.
- Is strong in written and spoken English (at least intermediate).
[Remote] [Developer] Senior Machine Learning Engineer @NCube
- Computer Science or similar degree.
- Programming experience: Python + Django.
- Strong knowledge of Machine learning.
- Good Unix / Linux.
- Upper-Intermediate English.
Recruitika — сервіс анонімного моніторингу пропозицій про роботу від ІТ-компаній. Для тих, хто вже шукає нову роботу, не звільняючись з нинішньої. І для тих, хто просто хоче мати план Б. Дізнайтеся більше про те, як він працює тут.