TOP 10+ AI Developers for hire

- 10+ years in AI/ML & Data Science, high-performance systems, 10+ years in DevOps and 5+ years in MLOps; - Expertise in Python, Asyncio, Aiohttp, Redis, PostgreSQL, Neo4j, ElasticSearch, and cloud platforms (AWS, GCP, Azure); - Experience with high-load environments, Redis queues, custom assemblies, and data isolation in production-ready systems; - Skilled in Active Directory integrations, NLP, similarity engines, and AI-driven architectures, with focus on context engineering, summarization, and agentic RAG pipelines (LlamaIndex, Quadrant, IntentRouter); - Experienced with both text and voice AI models (speaker identification, speech-to-text) and ontology-driven algorithms (PCA, classifiers, semantic understanding from scratch); - Knowledge of AWS services (S3, EC2, Fargate, EKS, Bedrock pipelines), Kubernetes, CI/CD automation, and cloud migrations (AWS to GCP); - Passion for NLP, AI, and similarity engines, with preference for applied AI/ML approaches over purely statistical methods; - Experienced leadership in R&D and engineering management, delivering production-ready AI/ML solutions in defense, search, and semantic platforms.

- 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).

- 5+ years of experience in Python backend development, focused on distributed systems, REST API design, and microservice architecture; - Experienced with FastAPI, Django, and Django REST Framework, with a deep understanding of framework internals and asynchronous programming (asyncio, Celery, Kafka); - Experience developing and maintaining scalable APIs and high-performance backend services for AI-driven platforms, cryptocurrency systems, and automation tools; - Solid knowledge of RDBMS systems with emphasis on PostgreSQL - database schema design, optimization, and query performance tuning; - Experience with SQLAlchemy (declarative and async modes) and integration of data pipelines across multiple services; - Skilled in Docker-based deployments and cloud environments (AWS, Azure) with hands-on CI/CD setup and monitoring; - Experienced in secure authentication systems (JWT, OAuth2) and real-time data streaming using Kafka and Celery; - Strong command of SDLC, code quality, testing (Pytest), and Agile methodologies; - Experience in AI integration - building and deploying AI agents and workflow automation tools with LangChain, Supabase, and Firebase.