AWS

Delivery Consultant - AI/ML, ML Engineer

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NieokreśloneOn-site·WarszawaFull-time

#462320·Dodano 11 dni temu·2

Źródło: AWS

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Tech Stack / Keywords

AWS GenAI machine learning Python TypeScript PyTorch TensorFlow scikit-learn LangchainMCP

Podsumowanie oferty

As a Delivery Consultant, you will design, implement, and build GenAI and ML applications and models on AWS for customers. You will provide technical guidance across project delivery, including model training, building, and deployment strategies.

Wymagania

2+ years of experience hosting and deploying GenAI/ML solutions, including for training, fine-tuning, and inference.
4+ years of experience in technical architecture, design, deployment, and operations for AI platforms, standards, protocols, and devices.
4+ years of experience in predictive modelling and analysis, and predictive software development.
3+ years of professional software development experience in ML-related languages such as Python, TypeScript, and/or R.
Experience using machine learning libraries such as scikit-learn, Apache MxNet, PyTorch, TensorFlow, Langchain, Strands, and MCP.
English language proficiency is required.

Nice to have:

An MS/PhD in Computer Science, Machine Learning, Operational Research, Statistics, or a highly quantitative field.
A strong data science background and software engineering experience, including software or script development with Python, R, TypeScript, React, C/C++, or similar.
Experience with AWS platforms and services.
An AWS Associate, Specialty, or Professional certification.
Experience with Agile execution.
A track record of presenting at public events such as technology conferences or hackathons, blogging, writing technical articles, or contributing to open-source projects.

Obowiązki

Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs.
Provide technical guidance and implementation support throughout project delivery, focusing on AWS AI/ML services.
Gather requirements with customer stakeholders and propose model training, building, and deployment strategies.
Advise customers on industry trends and emerging technologies.
Share knowledge through mentoring, training, and creating reusable artifacts.
Gather requirements, assess current infrastructure, and propose migration strategies to AWS.
Lead implementation, ensure adherence to best practices, optimize performance, and manage project risks.

Benefity

The compensation package may include a sign-on payment.
The candidate may be eligible to participate in an RSU scheme.
Supplementary benefits include pension plans, health insurance, life and disability insurance, business travel insurance, a MultiSport card, an employee discount code and program, and the Employee Assistance Program.

Ubezpieczenie

Karta sportowa

Udziały pracownicze

Premie

AWS

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