15 вакансій для Machine Learning-інженерів із зарплатою до $8000

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.