Остават 17 дни 07ч 53м, за да грабнеш Early Bird билет за All in One 2026 тук!

+
Вход

Въведи своя e-mail и парола за вход, ако вече имаш създаден профил в DEV.BG/Jobs

Забравена парола?
+
Създай своя профил в DEV.BG/Jobs

За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:

100-5 =

+
Забравена парола

Въведи своя e-mail и ще ти изпратим твоята парола

Coherent Solutions

ML Engineer Tech Lead

ApplyКандидатствай

Обявата е публикувана в следните категории

  • Anywhere
  • Съобщи проблем Megaphone icon

Съобщи за проблем с обявата

×

    Какво не е наред с обявата?*
    Моля опиши ни, къде е проблемът:
    За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:
    Tech Stack / Изисквания
    Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more.
    We are technology-driven organization focused on leveraging advanced AI capabilities to enhance business processes and accelerate innovation. We are investing heavily in Generative AI and Computer Vision to support technical decision-making, improve solution architecture, and enable rapid prototyping through Proof of Concepts.
    The position is centered around building and expanding cutting-edge Generative AI and Computer Vision solutions. The role involves developing scalable ML systems that support Technical Sales, Architecture design, and PoC development. The engineer will work on integrating LLMs, designing intelligent pipelines, and deploying production-ready AI services in cloud environments.
    Technologies
    • Python
    • PyTorch, TensorFlow
    • AWS (S3, EC2, Lambda, ECS, ECR, SageMaker, Bedrock, IAM, CloudWatch) and/or Azure (Blob Storage, Data Factory, Azure ML, Azure OpenAI)
    • MLflow
    • LangChain, LangGraph, LlamaIndex
    • Vector DBs (Qdrant, Pinecone, Weaviate, FAISS)
    • Git, CI/CD
    • Monitoring tools (Prometheus, Grafana, DataDog, OpenTelemetry)
    What You’ll Do
    • Lead the design, development, and deployment of scalable ML services.
    • Architect and implement AI/ML solutions with a focus on quality, governance, and security.
    • Develop and optimize ML pipelines for performance and cost efficiency in cloud environments.
    • Collaborate with data scientists, analysts, and business stakeholders to define and implement ML solutions.
    • Support Technical Sales and Architecture teams through PoC development and technical expertise.
    • Mentor junior engineers and promote best practices in ML engineering.
    • Develop and maintain ML documentation, models, and standards.
    • Monitor, troubleshoot, and resolve production issues in ML systems.
    • Stay current with emerging trends in AI, Generative AI, and Computer Vision.
    Job Requirements
    • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
    • 5+ years of experience in Machine Learning Engineering.
    • At least 1+ year of hands-on experience with Large Language Models (LLMs).
    • At least 1+ year of experience as a team/tech lead.
    • Strong proficiency in Python and production-level development.
    • Experience with ML frameworks such as PyTorch and/or TensorFlow.
    • Solid experience with cloud platforms (AWS and/or Azure).
    • Experience with CI/CD, DevOps, and infrastructure-as-code practices.
    • Strong understanding of Generative AI concepts (transformers, embeddings, generative models).
    • Experience with LLM orchestration tools (LangChain, LlamaIndex, etc.).
    • Knowledge of vector databases (Qdrant, Pinecone, Weaviate, FAISS).
    • Experience with Computer Vision techniques (object detection, segmentation, image classification).
    • Familiarity with dataset labeling and annotation tools (Label Studio, CVAT).
    • Understanding of monitoring and logging for ML systems.
    • Knowledge of data governance, security, and compliance in cloud environments.
    • Excellent communication, problem-solving, and leadership skills.
    • English level: Upper Intermediate (B2) or higher.
    What Do We Offer
    • Platform for flexible benefits
    • Free additional health and dental insurance
    • Internal and external trainings
    • Conferences and events attendance
    • Regular meetups
    • Corporate Events and Team buildings
    • Charity and volunteer activities
    • Group Management Program
    • Various Discounts
    • Internal referral program
    If this opportunity excites you, send us your resume!
    Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted.