ML Engineer (Digital Sales)

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.