MDP Global

1 Job

4 Employees

About the Company

MDP are a specialist recruitment/staffing agency focusing on the Networking & Infrastructure market in the US. We have a track record of delivering high quality talent to our clients after 10+ years combined of specific industry experience in our field. Enterprise Networking: We work with Cisco Gold Partners, End Customers, Banks, Hedge Funds and technology start-ups across North America to support their Networking teams. IP Networking: We work with ISPs to focus solely on building and supporting their Networking teams, helping to source the best in market IP/ MPLS Networking professionals. This ranges from start-ups to national Service Providers, helping to connect North America to first class Internet. Core Competencies: Networking (LAN): Cisco, HP, Juniper, Arista IP Networking: IP/ MPLS, Core Routing & Switching, Layers 1 2 & 3 Software Defined Networking: Cisco ACI, VMware NSX, SD-Access Network Automation: Python, Ansible, Terraform Network Security: Cisco, Checkpoint, Juniper, Fortinet, Palo Alto, F5 Unified Communications: Cisco, Avaya, Mitel, Aastra Wireless LAN: Cisco, HP/Aruba, Ruckus, Aerohive

Listed Jobs

Company Name: MDP Global
Job Title: Machine Learning Engineer
Job Description: Job title Machine Learning Engineer Role Summary Design, train, and deploy production‑grade machine learning models (including large language models, computer vision, and recommendation systems) and build robust MLOps pipelines that optimize model latency, cost, and performance. Expectations - Deliver scalable, high‑impact ML solutions in a production environment. - Apply the latest research to practical applications while ensuring reliability and maintainability. Key Responsibilities - Design and implement end‑to‑end ML workflows (data ingestion, preprocessing, training, evaluation, monitoring). - Build and maintain CI/CD pipelines for model deployment using Docker and Kubernetes. - Optimize models for latency, cost, and throughput in cloud environments. - Collaborate with data scientists, backend engineers, and product teams to align ML solutions with business goals. - Continuously review and integrate recent ML research, particularly in transformers and reinforcement learning from human feedback (RLHF). Required Skills - 3+ years of experience building and deploying ML models in production. - Strong Python programming with expertise in PyTorch, TensorFlow, or JAX. - Solid understanding of deep learning fundamentals, transformers, and RLHF. - Proficiency with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). - Experience with MLOps tools (CI/CD, model monitoring, versioning). - Bonus: LLM fine‑tuning (LoRA, QLoRA), vector databases, LangChain/LlamaIndex, and large‑scale training experience. Required Education & Certifications - Not specified (no mandatory degree or certification required).