Hire Jupyter Notebook Developer

- Experienced software engineer with a strong focus on automation, testing, and DevOps. - Certified SAFe 5 Practitioner with over 10 years of experience in the IT field, working with a variety of industries, including payment gateways, healthcare, and natural disaster prevention. - Experience with Appium (3 yr. of experience) and K6 (4 yr. of experience) - Proficient in Performance Testing with K6 and Jmeter - Worked with prominent companies, including Johnson & Johnson, which involved some financial software components or integrations. - Proficient in tools such as Argo-workflow, Jira, Mantis, Azure, Cypress, Selenium, Robot Framework, and Jupyter Notebook. - Upper-Intermediate English. - Availability starting from ASAP

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Data Science - 5 years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

- 6 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Advanced English.

• Business Intelligence/Data Analysis/Visualization • PowerBI, Google Data Studio, Tableau. • Has hands-on experience with various data sources as Cloud DBs (Snowflake), on-premise DBs (Microsoft SQL Server, Oracle, OLAP cubes), APIs (Jira, Service Now etc.) and of course text files (Excel, csv, json format). • Has a strong background in analysis and statistics, has hands-on experience using Python for data analysis. • Solid troubleshooting skills, ability and willingness to learn quickly, highly responsible person. Interested in communication with stakeholders and end-users. • Upper-Intermediate English level. • Available: ASAP • No scheduled vacations within next 3 months.

- Data visualization expertise with Tableau and Power BI - Strong knowledge of PostgreSQL and MS SQL - Easy-learning and goal-oriented with good teamwork skills - Responsible, communicable, and creative - Advanced English

- 13 years of experience in IT - Proficiency in Python, Pandas. - Data quality for ICC profiles and algorithms for display color calibration - Mathematical modeling (MATLAB, Octave, Comsol, MathCad), software algorithms, numerical methods (algebra, interpolation, regression, nonlinear problems, optimization, ordinary and partial differential equations), machine learning. - Upper-Intermediate English. - Available in two weeks

- Data Engineer with 6+ years of experience in data integration, ETL, and analytics; - Expertise in Spark, Kafka, Airflow, and DBT for data processing; - Experience in building scalable data platforms for finance, telecom, and investment domains; - Strong background in AWS, GCP, Azure, and cloud-based data warehousing; - Led data migration projects and implemented real-time analytics solutions; - Skilled with Snowflake, ClickHouse, MySQL, and PostgreSQL; - Experience in optimizing DWH performance and automating data pipelines; - Experience with CI/CD, data governance, and security best practices.

- Over 15 years experience in leading the design, developing, and delivery of complex IT projects and high-performance solutions, +10 years in business intelligence and in the data analytics field - Advanced hands-on experience in reactive, microservices-based, distributed system design and development including stream application platforms for advanced analytics including machine learning and data science - Proficient Data Engineer-researcher focused on the immediate benefits for the business using Big Data tools (AWS Glue, AWS Greengrass, AWS EMR, AWS Data Lake) with advanced analytical and visualization APIs (graph DB – Titan, Neo4J, Tinkerpop, software development – Scala, Python) with CI/CD pipelines – Jenkins, Circle CI, GitLab actions - Generative AI - Q&A with multiple choices, pre-trained models (Hugging Faces ecosystem, T5, BERT, GPT), ChatBot for online gambling platform (LangChain, Pinecone, Cohere, Faiss, Hugging Face Hub) - Generative AI in NLP - information retrieval for 1) generate personalized recommendations for products or services based on a user's preferences and past behavior 2) summarize legal documents and contracts, making it easier for lawyers and legal professionals to review and analyze large volumes of legal documents. 3) create content such as product descriptions, blog posts, and social media posts - Recommendations platforms - mobile games platform (generate game recommendations based on player history, promo-offers, AWS Personalize ), self-learning algorithms for data-based risk management in agriculture (Monte-Carlo tree and Markov chains) - Upper-intermediate English. - Availability starting from ASAP