Hire AI and ML 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.

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

* Experienced Data Engineer and BI Developer with 6+ years of expertise in Database Design and Business Intelligence Development. * Proficient in cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure. * Skilled in building high-performance data integration and workflow solutions, including ETL operations for data warehousing and supporting OLAP, OLTP, and Data warehouse systems. Experience in optimizing DWH performance and automating data pipelines; * Modern data engineer skills such as data modeling, data warehousing, data lake, data governance, and data quality. * Experience with big data technologies such as Hadoop, Spark, and Kafka, and experience with data streaming and real-time data processing. * Proficiency in SQL and NoSQL databases, Snowflake, and ClickHouse * Data visualization tools such as Tableau or Power BI. * Programming languages such as Python, Java, or Scala, and understanding of machine learning concepts, with experience building and deploying machine learning models. * Experience with CI/CD, data governance, and security best practices.

* Machine Learning Engineer with over six years of experience in AI and machine learning. * Specializes in recommendation systems, predictive analytics, and computer vision solutions. * Experience with predictive models for demand forecasting and property valuation, optimizing inventory and decision-making processes.

- Senior AI/ML engineer with hands-on experience in GenAI platforms, LLM orchestration, and RAG pipelines; - Skilled in Python and C# for backend services, chatbot architecture, and AI integration pipelines; - Built and deployed RAG systems using Azure OpenAI, AI Search, and LangChain; - Developed Whisper-based transcription pipelines with speaker diarization for business meeting summarization; - Integrated OpenAI models and multimodal embeddings into workflow automation tools like Jira and Trello; - Experience in distributed processing with Celery, RabbitMQ, and Redis for asynchronous task execution; - Deployed scalable AI services in Azure and AWS environments, using Kubernetes, Helm, and Azure DevOps; - Built real-time event processing and notification systems using Kafka and Apache Camel; -Designed APIs and backend services for customer support chatbots, voice platforms, and CRM integration; - Applied prompt engineering, testing (xUnit, pytest), and CI/CD automation across multiple AI initiatives.

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.

Accomplished Software Architect and Hands-on Engineering Manager with a strong history of building, leading, and mentoring cross-functional teams in designing, developing, and deploying high-scalability, secure software solutions leveraging cloud platforms, microservices architectures, CI/CD pipelines, and performance optimization strategies. Experienced in both startup environments and well-established organizations, with expertise in architecting reliable distributed systems, implementing best practices, and driving innovation while delivering quality software.

A highly proficient Full-Stack Developer with over 7 years of experience, specializing in AI and NLP applications alongside web development. Adept at optimizing large language models, designing intelligent systems, and developing full-scale software solutions. The engineer's technical skill set encompasses Python, JavaScript, TypeScript, Java, C++, and SQL, with mastery in AI & NLP tools such as Hugging Face and TensorFlow. Their proficiency extends to full-stack development with a focus on MERN stack and Vue.js, demonstrated by a history of delivering high-performance, responsive e-commerce platforms, and proprietary CMS interfaces. With a Bachelor's degree in Computer Science and a strong background in DevOps practices, cloud platforms, and deployment technologies, the candidate has a proven track record of enhancing backend performance and streamlining deployment pipelines, positioning them as an asset for technically demanding roles.