Hire Neo4j Developer

- 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.

An adept Senior Software Engineer with a strong background in Elixir/Phoenix, robust API development, and systems scalability. Engineered the 'Wukong API Proxy' to streamline deployment timelines at Mindvalley, resulting in significant reduction of developer wait times. Skillfully managed Robu Sdn Bhd’s software team, developing its B2B2C platform and ensuring efficient cloud-based deployments. At Fave, excelled in site reliability while transitioning infrastructure from AWS to GCP and enhanced web app performances via Elixir optimizations. With a Bachelor's in IT from Universiti Teknologi Petronas, the candidate demonstrates a solid grasp of software development. Emphasizes AI-assisted workflows, mastering languages like Ruby on Rails, Elm/React, and Rust, and diversifies with a foundational understanding of cryptography and blockchain technologies.

- Senior Data Engineer with a strong technology core background in companies focused on data collection, management, and analysis. - Proficient in SQL, NoSQL, Python, Pyspark, Oracle PL/SQL, Microsoft T-SQL, and Perl/Bash. - Experienced in working with AWS stack (Redshift, Aurora, PostgreSQL, Lambda, S3, Glue, Terraform, CodePipeline) and GCP stack (BigQuery, Dataflow, Dataproc, Pub/Sub, Data Studio, Terraform, Cloud Build). - Skilled in working with RDBMS such as Oracle, MySQL, PostgreSQL, MsSQL, and DB2. - Familiar with Big Data technologies like AWS Redshift, GCP BigQuery, MongoDB, Apache Hadoop, AWS DynamoDB, and Neo4j. - Proficient in ETL tools such as Talend Data Integration, Informatica, Oracle Data Integrator (ODI), IBM Datastage, and Apache Airflow. - Experienced in using Git, Bitbucket, SVN, and Terraform for version control and infrastructure management. - Holds a Master's degree in Environmental Engineering and has several years of experience in the field. - Has worked on various projects as a data engineer, including operational data warehousing, data integration for crypto wallets/De-Fi, cloud data hub architecture, data lake migration, GDPR reporting, CRM migration, and legacy data warehouse migration. - Strong expertise in designing and developing ETL processes, performance tuning, troubleshooting, and providing technical consulting to business users. - Familiar with agile methodologies and has experience working in agile environments. - Has experience with Oracle, Microsoft SQL Server, and MongoDB databases. - Has worked in various industries including financial services, automotive, marketing, and gaming. - Advanced English - Available in 4 weeks after approval for the project

- DevOps/Cloud Architect with 10+ years of experience in DevOps, Cloud, and MLOps engineering; - Led large-scale projects including Hadoop-to-AWS OLAP migration, cutting operational costs by 25% and improving system performance; - Expertise in Kubernetes-based microservices architectures, AWS Fargate, and high-availability designs achieving 99.99% uptime; - Experience in multi-cloud (AWS, GCP) and hybrid on-prem/cloud adoption; - Skilled in containerization and orchestration with Docker, Kubernetes, and OpenShift; - Advanced in Infrastructure as Code (Terraform, Helm, Ansible) and GitOps/CI/CD automation (GitLab CI, GitHub Actions, ArgoCD, Jenkins); - Delivered automated CI/CD for serverless apps with AWS SAM, reducing deployment time from hours to 20 minutes; - Experienced in MLOps with AWS Sagemaker and Kubeflow, building end-to-end ML workflows; - Skilled in DevSecOps, implementing RBAC, Secrets Manager, SAST/SCA scans, reducing vulnerabilities by 50%; - Skilled in cloud networking, storage, and big data systems (Spark, Hadoop, EMR, Kinesis); - Expertise in Python, Go, Java, and Bash for automation and integration; - Experience of technical leadership, mentoring engineers, and guiding 50+ developers in Kubernetes/Docker adoption; - Experienced in architectural design, Cloud as Code initiatives, and cross-team collaboration; - Certified Kubernetes Administrator (CKA), AWS Solutions Architect, and GCP Professional Cloud Architect.

Passionate Senior Software Engineer with 7 years of experience excels in building complex web applications leveraging mastery in languages such as JavaScript, TypeScript, C#, Go, and Python. Renowned for architecting a legal SaaS platform yielding a 40% operational efficiency boost and pioneering AI-powered chatbot integration, showcasing a 30% reduction in case handling efforts. Adept in cloud services (AWS, Azure, GCP), microservices, and CI/CD with an Agile mindset, drives collaboration and continuous improvement. Holds a solid foundation with a Bachelor's degree in Computer Science from NTUA, cementing technical prowess in the software industry through contributions to large-scale projects that enhance user experiences, performance, and reliability.