AI MLOPS ENGINEER

Svitla Systems Inc. is looking for an AI MLOps Engineer for a full-time position (40 hours per week) in Ukraine.

Requirements

Proven experience as an AI/ML, Data Engineer, or a similar role.
Strong knowledge of Python and experience with relevant frameworks and libraries, such as Pandas, PySpark, NumPy, scikit-learn, Matplotlib, etc.
Knowledge of SQL, experience with PostgreSQL (incl. pgvector) and/or DynamoDB.
Deep knowledge of AWS: Lambda (scaling/tuning), ECS/EKS, API Gateway (REST/WebSocket), Cognito/Auth, S3, VPC/private networking, EventBridge, Step Functions.
Experience with Terraform and the Infrastructure-as-Code lifecycle.
Understanding of AI/ML technologies (LLMs, NLP, anomaly detection, embeddings) and modern distributed systems (real-time sockets, event-driven pipelines).
Experience with ETL orchestration tools such as Airflow and AWS Glue (running on EKS is a plus).
Excellent problem-solving and communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Advanced English level.

Nice to have

Experience in production with conversational AI/chatbots and vector search at scale.
Understanding of integrating Bedrock/SageMaker into ML workflows.
Familiarity with security best practices and cost monitoring on AWS.

Responsibilities

Develop scalable ML functionalities (NLP, computer vision, recommendation systems).
Work with Large Language Models (LLMs): prompt engineering, RAG pipelines, and embeddings.
Integrate vector databases (PostgreSQL/pgvector, DynamoDB + embeddings) for retrieval-based AI.
Implement API services for translation, transcription, Text2SQL, and intent/gesture recognition.
Use AWS AI/ML services where appropriate (Bedrock, SageMaker, Textract).
Design, build, and maintain robust ETL/ELT pipelines in Python (Pandas/PySpark), sourcing diverse systems.
Orchestrate and schedule workflows with Airflow and/or AWS Glue; support event-driven/streaming patterns.
Ensure data quality, lineage, and reliable delivery across environments.
Architect, deploy, and scale services on AWS using Lambda, ECS/EKS, API Gateway (REST & WebSocket), and private VPC networking.
Leverage EventBridge and Step Functions for real-time, event-driven applications; use CloudFront for global delivery and Cognito for auth.
Implement secure authorization flows, token management, and environment isolation (dev/staging/prod) across S3 and related storage.
Manage end-to-end infrastructure as code by writing Terraform configurations for builds, networking, security, and deployments.
Ensure auto-scaling, monitoring/alerting, logging, and cost optimization for Lambda and containerized workloads.
Optimize for high throughput, low latency, and reliability in both real-time and batch pipelines; utilize CloudWatch and X-Ray for observability.
Communicate with end users, run demos and working sessions, and document solutions clearly.
Work independently and within a cross-functional team in a fast-paced environment.

We offer

US and EU projects based on advanced technologies.
Competitive compensation based on skills and experience.
Regular performance appraisals to support your growth.
Flexibility in workspace, either remote or in one of our development offices.
Comprehensive medical insurance, including dental and massages.
Personalized learning program tailored to your interests and skill development.
Sport reimbursement program for onsite and online activities.
Bonuses for recommendations of new employees.
Bonuses for article writing, public talks, and other activities.
20 vacation days, 10 national holidays and 5 sick leaves.
Maternity leave policy and family days off.
Free tech webinars and meetups organized by Svitla.
Welcome and anniversary presents, gifts for children, and more.
Regular corporate events and meetups.
Awesome team, friendly and supportive community!

AI MLOPS ENGINEER

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