TOP 10+ AI Developers for hire

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.

- 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.

A seasoned software engineering leader with over two decades of global industry experience specializing in BFSI, AI-driven digital transformation, and Salesforce. Has an agile and DevOps-focused engineering background with a strong understanding of end-to-end AI workflows. Boasting a history of significant contributions in DevOps pipeline optimizations, cloud technologies, and AI model monitoring. Expertise in navigating complex project management within Agile frameworks. Proven success in leading high-impact AI transformation projects, ensuring scalability and operational excellence. Technical skills include AWS Cloud, Agile + DevOps Integration, and Salesforce, alongside proficiency in implementing Generative AI and LLM solutions.

- Highly experienced Head of Data Science with 12+ years of experience in creating and managing DS/ML teams in startups and corporate projects; - Proficient in AI, NLP, Adtech, Fintech, and CV; - Strong leadership skills and a client-oriented approach; - Skilled in Python, SQL, Prompt Engineering, HuggingFace, PyTorch, Scikit-learn, Pandas, LangChain, LlamaIndex, Spacy, GPT, Plotly, GCP, AWS, Azure, Postgre, MongoDB, BigQuery, and Vector DB; - Proactive in implementing innovative approaches for product features using Generative AI, LLM, and GPT; - Experienced in proposing innovative solutions for new business problems and managing teams; - Holds a PhD in Data Science and a Master's degree in Computer Science.

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.

- Senior Blockchain Engineer with 20+ years in software development and a strong track record in the Solana ecosystem; - Experienced in Rust for Solana smart contract development, with extensive experience building on-chain programs for DeFi, staking, NFT, and messaging platforms; - Skilled in full-stack development: React and TypeScript for front-end dApps, Node.js and Python for backend systems; - Experience with AWS and Google Cloud for scalable cloud applications and infrastructure; - Ability to lead teams and manage projects, including migrating Ethereum products to Solana (Community Gaming); - Skilled in blockchain frameworks and tools: Anchor, CPI, Metaplex, Token-2022; - Strong SQL background with hands-on experience in PostgreSQL, MySQL, and SQLite; - Experienced in system architecture, Linux server administration, and distributed applications; - Notable achievements include leading Solana product delivery for NeuralBond (on-chain messaging) and Palus Finance (staking platform).

The engineer in question manifests proficiency in mobile application development, with extensive experience in the creation and enhancement of complex platforms within the Nigerian market. Possessing demonstrated expertise in Flutter and Dart for cross-platform development and a grasp of native API interfacing using Swift and Kotlin, the engineer has effectively employed TypeScript for cloud function management on Firebase. Additionally, the engineer has skilfully set up CI/CD with Fastlane and integrated real-time communications with websockets, contributing to the delivery of robust, user-friendly applications. Maintaining a strong focus on performance and stability, the engineer leverages tools such as Firebase Crashlytics and Flutter's performance profiling. Moreover, the engineer's background encompasses a Computer Science degree, providing a sound theoretical foundation underpinning their practical skills. With a portfolio featuring innovative features like AI-based verification, video calling via the Agora SDK, and advanced in-app transaction functions, the engineer’s technical acumen ensures a performance-focused and user-centric development approach.