About the project:
Our client is a global real estate services company specializing in the management and development of commercial properties. Over the past several years, the organization has made significant strides in systematizing and standardizing its reporting infrastructure and capabilities, utilizing Azure, MS Power Platform, Snowflake, and AWS. Due to the increased demand for reporting, the organization is seeking a dedicated team to expand capacity and free up existing resources.
Who are we looking for?
Responsibilities
- Analyze data to find patterns and create machine learning solutions for challenging business issues
- Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
- Develop AI/ML solutions that can be scaled across various business use cases, starting from PoC to MVP and launching into production.
- Design, develop, train, fine-tune, and deploy machine learning models into production environments.
- Build and maintain ML Ops pipelines, including model versioning, deployment, monitoring, and retraining.
- Build and improve AI models - like those for prediction, automation, or natural language tasks.
- Use both in-house tools and the latest technology to increase operational productivity and efficiency as well as predictive analytics.
- Break down and share your process and results in a way that’s clear to non-technical folks, like business managers and executives.
- Keep up with and put into practice the latest AI and machine learning techniques.
Skills & Experience
- Computer Science or a technology-focused field, Master’s or PhD in Data Science is a nice to have.
- 3+ years of hands-on experience designing and deploying AI or ML models.
- Hands-on experience setting up and maintaining large-scale data science, machine learning and AI projects.
- Skilled with deep learning libraries like PyTorch, Keras, TensorFlow, and HuggingFace toolkits.
- Solid knowledge of machine learning, especially Natural Language Processing (NLP) large language models (LLMs).
- Experience building agentic workflows and LLM based systems. Familiar with agentic frameworks such Langgraph, Pydantic.ai
- Advanced Python coding and strong experience (with tools like Scikit-Learn, NumPy, SciPy, Pandas, and XGBoost.)
- Comfortable using SQL for working with large datasets and uncovering insights.
- Experience creating solutions in cloud platforms such as AWS Sagemaker or Microsoft Azure.
- Able to work on your own or as part of a group to hit targets.
Nice to have
- Curiosity, attention to detail, and drive to solve difficult data problems.
- Focused on getting results for clients and working in an agile development setup.
- Can design or review how a model’s success is measured to line up with business goals.
- Shows initiative by researching new solutions with some guidance.
What we offer
Work:
- Flexible working hours;
- Collaborative, friendly team environment;
- Remote/Hybrid work;
Life:
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
What we offer
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
Our offices:
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