Hire AWS SageMaker (Amazon SageMaker) Developer

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

- 10+ years experience working in the IT industry; - 8+ years experience working with Python; - Strong skills with SQL; - Good abilities working with R and C++; - Deep knowledge of AWS; - Experience working with Kubernetes (K8s), and Grafana; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Experience working with Amazon S3, Athena, EMR, Redshift; - Specialised in Data Science and Data Analysis; - Work experience as a team leader; - Upper-Intermediate English.

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

- 5 years with QA automation - Strong testing theory understanding. Defect life cycle and issue workflow understanding, Experience in creating and executing test cases. Reporting - Experience with data and BI tools - DevOps experience with CI/CD, pipelines, Docker, AWS, SQL

Software engineer with 6 years of application development expertise in PHP 5.x and RoR frameworks, fortified by a robust foundation with an MCA in Computer Applications and a B.Sc in Computer Science. Demonstrates proficiency in a diverse stack including PHP, Ruby, MySQL, POSTGRES, JavaScript, Ajax, CSS, and mastery of frameworks such as Codeigniter, CakePHP, and Rails, as well as CMS like Drupal. Exhibits strong analytical and project management skills complemented by a history of driving full SDLC for a variety of projects like Photobin, YFE, iSafeTalk, and iQGlobal. Leverages version control systems such as SVN and GIT, development tools like Dreamweaver, and proficiency in Linux and Apache to deliver robust applications. Excels in collaborative environments, showing seasoned leadership in guiding technical team members and a track record of technical problem-solving and innovation.

- Software engineer with over a decade of experience and background in AI and data science. - Skilled in predictive machine learning models, financial market analysis, and microcontroller development. - Proficient in Python, SQL, ETL processes, and data visualization tools like Power BI and Tableau. - Demonstrated expertise in managing technical directions of organizations and a history of academic excellence with a Master’s in Agronomy and advanced certifications in Data Analytics and Data Science. - ChatGPT 3 Turbo API and automating analysis tasks, showcasing the ability to leverage modern AI technologies to solve complex problems.

- 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