Hire MLOps Developers
Ranjana Rajendran
Ranjana is a software engineer with 10+ years of experience building production ML infrastructure at Amazon Web Services (AWS) and Mastercard. She has a strong background in MLOps, distributed systems, and scaling ML pipelines. She has focused on LLM deployment, retrieval systems, and model serving, continuously applying rigorous engineering to real-world AI systems.
Show MoreDavid Adeyemi
David is a DevOps engineer with about six years of proven success in designing, building, and managing resilient, highly available, and cost-optimized cloud-based solutions. He has extensive experience in Kubernetes, infrastructure as code (IaC), CI/CD pipelines, and MLOps. A lifelong learner dedicated to staying ahead of evolving technologies, David has improved deployment efficiency and optimized performance using cutting-edge tools such as Terraform, Ansible, and Argo CD.
Show MoreAndrew Tefft
Andrew is a staff software engineer with 15 years of experience building high-throughput back-end systems and ML infrastructure at Fox Corporation. He specializes in AWS serverless architecture, C#.NET back-end engineering, and MLOps, including recommendation systems and ML inference pipelines built on Amazon Personalize, SageMaker, and Databricks.
Show MoreDavid Todd
David is a highly motivated and results-oriented DevOps/MLOps engineer with over 25 years of experience delivering successful infrastructure, application, and cloud solutions at the enterprise level. He's a certified Google Cloud architect with extensive expertise in Kubernetes, ML/AI infrastructure, and cloud platforms. David has a strong background in designing distributed systems for compute-intensive workloads, focusing on performance optimization and scalability.
Show MoreAnton Wolkov
Anton specializes in big data infrastructure architecture and machine learning operations (MLOps). He worked with many high-profile Fortune 500 companies and startups. He holds a bachelor's degree in computer science and has experience in big data infrastructure development and DevOps. He can get you started with data lakes, onboard data scientists, automation, and create production-grade self-service batch pipelines. Anton prefers using Airflow, Presto, TensorFlow, Kubernetes, and Grafana.
Show MoreDr. Vladyslav Libov
Vladyslav is a senior consultant specializing in artificial intelligence, machine learning operations (MLOps), cloud technologies, software development, and quantum computing. He has a broad academic and industry experience, with projects at large financial institutions, top consultancy firms, rail operators, and other enterprise companies. Vladyslav has a strong background in artificial intelligence and machine learning, probability theory and statistics, software development, and physics.
Show MoreDenis Volk
Denis is a senior full-stack AI engineer and data scientist with a PhD in mathematics and a specific focus on AI reliability and security. He's an expert in deploying modern generative AI in production end-to-end, and his skills include AI agents, ML, MLOps, big data, data analytics, and cloud infrastructure. Denis's previous industry experience spans probabilistic risk modeling, forecasting, computer vision, and team leadership across education, retail, manufacturing, and talent sourcing.
Show MoreStefan Mićić
Stefan is an experienced machine learning and machine learning operations (MLOps) engineer with hands-on experience in big data systems. His almost a decade of expertise is supplemented by a master's degree in artificial intelligence. Stefan has worked on problems such as object detection, classification, sentiment analysis, named-entity recognition (NER), and recommendation systems. He is always looking forward to being involved in end-to-end machine learning projects.
Show MoreMerna Hesham
Merna is an AI engineer and technical project manager with six years of experience in machine learning and MLOps for Valeo, Weight Watchers US, Accenture, and Egypt's Ministry of Communications and IT. She works across the full delivery path, scoping and resourcing the project, building the pipeline in Python, Docker, Kubernetes, and MLflow, then running it on GCP or AWS. Merna has trained over 500 engineers in the same practices she deploys.
Show MoreAnzor Gozalishvili
Anzor is a senior machine learning and MLOps engineer with 8+ years of experience building production ML systems, data pipelines, and cloud infrastructure. He has designed ML platforms with Dagster, W&B, MLflow, Spark, AWS, and Azure and built agentic systems using LangGraph, RAG, vector search, and MCP. His background spans NLP, document intelligence, deep learning, bioinformatics, and large-scale model training. He is also a published researcher in NLP and computational biology.
Show MorePritha Guha
Pritha is a senior MLOps, SRE, and cloud platform engineer with 11+ years building production infrastructure on AWS, GCP, and Kubernetes. Experienced in fast-paced SaaS startups and large enterprises, she owned end-to-end infrastructure, including MLOps stack (Kubeflow, KubeRay, KServe, GPU, RAG pipelines, agentic AI, Amazon Bedrock, Gemini). She’s cut costs by 60% and Kubernetes upgrade downtime by 97%, and increased PostgreSQL throughput by 40%. She's led SOC 2 Type II compliance end-to-end.
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