Hire Mlflow Developer

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

Experienced IT professional with more than ten years of expertise in Cloud Systems, DevOps, Machine Learning and MLOps practices. Pavlo specializes in building scalable and reliable ML pipelines, optimizing models for real-world use, and managing full lifecycle of machine learning projects. Technical skills include TensorFlow, PyTorch, Kubernetes, Kubeflow, Terraform, Python, as well as cloud platforms such as AWS SageMaker and Azure Cognitive Services.

- Solution Architect with 7 years of experience. My experience includes architecting, managing, and implementing various platform solutions. I have extensive knowledge of designing complex data solutions. I understand the tradeoffs of implementing commercial and open-source data solutions and have helped clients implement the best platform based on their business requirements. - IT engineer with 15 years of solid experience in the following areas: full development life cycle, CI/CD, software development processes and methodologies, architecture and infrastructure design, and disaster recovery solution elaboration. - Outstanding analytical and problem-solving skills. Professional oriented on a result with leadership and communications skills.

Software Engineer with over 5 years of AI implementation experience, possessing deep expertise in machine learning and natural language processing. Proven track record in developing AI strategies, implementing automated document workflows, and training teams in AI tool adoption. Proficient in a range of technologies including AWS, Azure, Docker, Kubernetes, and various machine learning libraries (TensorFlow, PyTorch, Scikit-learn). Strong background in DevOps with experience setting up CI/CD pipelines and database administration, paired with the ability to produce precise technical documentation. Notably contributed to improved forecasting and customer service through predictive modeling. Holds a Master's degree in Project Management, reinforcing a solid foundation in both the practical and theoretical aspects of technology and project execution.

Software engineer with over 8 years of experience, including 5+ years specialized in AI. Proven track record in leading AI strategy, implementing machine learning models, and training teams on AI tool usage. Expertise in Python and various ML libraries (e.g., TensorFlow, PyTorch), as well as in CI/CD, virtualization, and API development. Adept in managing cloud infrastructures (AWS, Azure) and ensuring system performance and efficiency. Holds a Master’s in Project Management, indicating a strong foundation in leading complex technical initiatives.

- 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.

- 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