ML Engineer (Digital Sales) at Coherent Solutions

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, NLP, LLMs, PyTorch, TensorFlow, Docker, AWS, Azure, MLflow, CI/CD, Git, Reinforcement Learning, Entity Recognition, Intent Recognition, Agentic AI, RAG

Industry

Software Development

Description

Company Background Our client is a technology company focused on transforming digital sales experiences through advanced AI solutions. In 2025, they introduced a next-generation AI sales agent that combines agentic AI with proven sales psychology. The solution leads customer conversations, provides personalized advice, handles objections, and guides users toward purchase decisions-bridging the gap between in-store and online sales. Project Description The project is a cutting-edge GenAI sales assistant. You will be instrumental in researching, modeling, and building AI-driven features that power intelligent, personalized user interactions. The work spans NLP- and LLM-based model development, deployment, optimization, and continuous performance improvement in production environments. Technologies Python LLMs, RAG, embeddings, summarization, reasoning PyTorch or TensorFlow LangChain or LangGraph Qdrant, Pinecone, Weaviate, or FAISS AWS (S3, EC2, Lambda, ECS, ECR, SageMaker, Bedrock, IAM, CloudWatch) or Azure (Azure ML, Azure OpenAI, Blob Storage) MLflow Docker CI/CD Git What You'll Do Develop, train, and deploy ML and AI models with a strong focus on NLP and language understanding Write production-grade Python code and deploy AI systems to production Build, iterate, and optimize models using PyTorch and related frameworks Productionize models in AWS, including GPU-accelerated workloads Implement intelligent guardrails to protect users, products, and customers Collaborate closely with data scientists, ML engineers, product teams, and stakeholders Explore and apply advanced techniques such as reinforcement learning and LLM fine-tuning Define and track meaningful performance metrics for AI-powered features Maintain documentation and actively share knowledge Respond to ML system alerts during working hours Job Requirements 3+ years of experience in data science and machine learning, including deploying models to production Strong proficiency in production-grade Python Hands-on experience with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn) Solid background in NLP, including embeddings, LLMs, entity and intent recognition Experience with agentic AI and RAG Experience with web frameworks such as FastAPI or Django Familiarity with containerization (Docker, ECR) and GPU acceleration Understanding of microservices-based system design Excellent communication skills English level: B2 (Upper-Intermediate) or higher What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Internal startup incubator; Health insurance; English courses; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Responsibilities

You will develop, train, and deploy ML and AI models with a strong focus on NLP and language understanding. Additionally, you will collaborate closely with data scientists and product teams to optimize AI-driven features.