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EPAM is seeking a Senior Machine Learning Engineer to create cutting-edge real-time AI systems utilizing streaming protocols, agentic AI frameworks such as LangChain/LangGraph, voice-driven interfaces, and advanced orchestration of machine learning models.
This role is ideal for candidates with substantial proficiency in low-latency stream processing, real-time voice handling, distributed architecture, and the complete lifecycle of AI solution deployment.
This opportunity offers a platform to address challenging AI problems intersecting multimedia, live data streams, and machine learning.
To discover more about Cloud practice at EPAM Georgia, visit this page.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
**Responsibilities**
* Design real-time streaming architectures for multimedia, voice/audio, and event data using protocols like WebRTC, gRPC, Kafka, and related technologies
* Build pipelines for live audio interactions incorporating methods such as Noise Suppression, Voice Activity Detection, and Turn Detection
* Optimize and scale streaming solutions to support thousands of simultaneous interactions with a focus on reliability, concurrency, and system efficiency
* Create robust data pipelines with tools such as Apache Kafka, Flink, and Spark Streaming for real-time data processing and integration with AI models
* Develop workflows using LangChain/LangGraph for the orchestration of multi-agent systems, task scheduling, memory management, and AI streaming outputs
* Utilize techniques like LoRA, PEFT, and QLoRA to fine-tune and distill language, vision, or speech models for production environments
* Implement retrieval-augmented generation methods to connect AI models with proprietary knowledge bases
* Deliver scalable, voice-enabled AI solutions capable of managing complex workflows and multi-agent interactions
* Monitor deployed AI systems for performance drift, execute optimizations, and oversee retraining strategies
* Deploy solutions using containerization methods such as Docker and Kubernetes alongside infrastructure tools like Terraform or Ansible
* Leverage monitoring resources including Prometheus, Grafana, and OpenTelemetry for observability and resource management
* Ensure compliance with privacy, security, and industry-standard regulations in AI system development
* Coordinate with DevOps, backend, and frontend teams to establish integrated, functional AI systems in real-time environments
* Mentor junior team members while encouraging innovation in machine learning workflows and voice-AI pipelines
* Recommend technical strategies aligned with organizational goals while emphasizing scalability and business impact
* Communicate progress, insights, and technical plans to stakeholders and leadership teams
**Requirements**
* 5+ years of experience in machine learning engineering, distributed architecture, or real-time systems, with 2+ years in production-ready real-time AI applications
* Proficiency in real-time communication frameworks using protocols like WebRTC, gRPC, RTP/SRTP, or SIP
* Skills in LangChain/LangGraph for designing workflows, managing multi-agent solutions, and integrating streaming applications
* Competency in Voice Activity Detection, Noise Suppression, Speaker Turn Detection, or equivalent technologies for voice systems
* Expertise in Python and modern machine learning tools, including PyTorch, TensorFlow, and related ecosystems
* Background in vector databases such as Milvus, PGVector, or Weaviate for embedding-oriented retrieval tasks
* Understanding of distributed systems, concurrency approaches, and the deployment of real-time solutions on cloud GPUs with platforms like AWS, GCP, or Azure
* Familiarity with Apache Flink, Apache Spark Streaming, or Kafka Streams for processing and managing real-time streaming data
* Problem-solving capabilities showcased in performance-critical and low-latency solution designs
* Strong communication and collaboration skills for dynamic, innovative teams
**Nice to have**
* Flexibility to leverage low-code/no-code platforms, including tools like n8n, Zapier, or Make
* Insights into IoT and edge system technologies with applicable integration approaches
**We offer**
* **We connect like-minded people**
* Delivering innovative solutions to industry leaders, making a global impact
* Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
* Opportunity to work abroad for up to two months per year
* Relocation opportunities within our offices in 55+ countries
* Corporate and social events
* **We invest in your growth**
* Leadership development, career advising, soft skills and well-being programs
* Certifications, including GCP, Azure and AWS
* Unlimited access to LinkedIn Learning and Get Abstract
* Free English classes with certified teachers
* **We cover it all**
* Participation in the Employee Stock Purchase Plan
* Monetary bonuses for engaging in the referral program
* Comprehensive medical & family care package
* Five trust days per year (sick leave without a medical certificate)
* Benefits package (sports activities, a variety of stores and services)
EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.