WeSoftYou

About the Role:

We are looking for a Senior Machine Learning Engineer to lead the development, deployment, and operationalization of advanced AI and machine learning solutions across two high-impact initiatives:

• Automated Requirements Engineering Platform powered by Large Language Models (LLMs)

• Supply Chain Intelligence Platform with predictive risk scoring and demand forecasting

   

In this role, you will own the end-to-end machine learning lifecycle — from system architecture and data pipelines to model training, optimization, and production deployment. You will work at the intersection of generative AI and classical machine learning, delivering models that are not only accurate, but also robust, explainable, and production-ready.

The environment follows a structured Sprint Zero → Stage Gate delivery model and operates under strict defense-grade security and compliance requirements, making this role ideal for engineers who value engineering rigor and real-world impact.

👉 Key Responsibilities:

1. LLM & NLP Pipelines

• Design and fine-tune LLM-based pipelines to parse and interpret complex regulatory and technical documentation (e.g. military standards, building codes);
• Transform unstructured natural language requirements into machine-executable formats (e.g. logic tuples, structured rules);
• Implement Retrieval-Augmented Generation (RAG) architectures for semantic search across technical documents and historical project data;

• Optimize prompt engineering strategies (few-shot learning, chain-of-thought, prompt templates) to improve domain-specific performance with minimal retraining.

   

2. Predictive & Analytical Models (Supply Chain)

• Develop time-series forecasting models for material demand, cost trends, and spend categories;
• Build risk scoring, classification, and anomaly detection models to evaluate supplier reliability and exposure (financial, operational, geopolitical);

• Design multi-objective optimization algorithms to balance cost, lead time, and risk in procurement decision-making.

   

3. MLOps & Productionization

• Containerize and deploy models using Docker and Kubernetes into secure, on-premise inference environments;
• Build reproducible training and inference pipelines using tools such as MLflow, Kubeflow, or similar;
• Optimize inference performance through quantization, distillation, and efficient model architectures;

• Implement monitoring and retraining workflows to detect model drift and ensure long-term performance in production.

   

👉 Technical Requirements:

• Python expertise and strong hands-on experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy;
• Deep understanding of NLP and Generative AI, including transformer architectures (BERT, GPT, LLaMA);
• Experience with Hugging Face, LangChain, or similar NLP/LLM frameworks;
• Solid MLOps experience, including Docker, Kubernetes, experiment tracking, and CI/CD for ML;
• Ability to design data pipelines for structured data (SQL, tabular) and unstructured data (text, PDFs);

• Strong algorithmic thinking with experience implementing custom logic (e.g. graph traversal, optimization, geometric or rule-based computations).

   

👉 Professional Qualifications:

• 5+ years of experience in Machine Learning Engineering with production-grade deployments;
• Proven ability to adapt ML solutions to complex, highly regulated domains (e.g. defense, supply chain, construction, engineering);
• Experience working in agile delivery models, while maintaining strict engineering standards and documentation discipline;

• Strong collaboration and communication skills, with the ability to work closely with Data Scientists, Backend Engineers, and Domain Experts.

   

👉 What we offer:

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;

• Possibility for both vertical or horizontal growth (in case you want to try a different path).

   

😌 Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;

• Remote working model.

   

🎁 Benefits program

• 20 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

About WeSoftYou:

WeSoftYou is a dynamic software development company that empowers businesses through innovative technology solutions. With a talented team of experts, we specialize in creating custom software that meets the unique needs of our clients. Our focus on collaboration, quality, and agility ensures we deliver exceptional results, helping businesses thrive in a competitive digital landscape.
 

👉 Required Background & Competencies:

— 3+ years of experience;
— Experience with an education-domain project (preferred);
— Strong requirements management skills;
— Team management experience (6–8+ people);
— Risk management experience (to be discussed during the interview);
— Experience working with fixed-price projects;
— Experience collaborating with a Product Owner;
— Experience in hiring and onboarding people;
— Excellent analytical, problem-solving, and critical thinking skills;
— Upper-intermediate+ level of English.

🎯 KPIs that PM will be tracked:
— Net Promoter Score;
— Revenue and Cost forecast;
— GPM.

🚀 We expect you to perform such Responsibilities:

— Being fully responsible for delivering quality and service level measurement, the financial performance of 1-2 projects;
— Manage the scope, timelines, and budget of the project;
— Manage stakeholders’ expectations;
— Manage changes;
— Be involved in the day-to-day release and production activities;
— Establish and execute clear communications across all team members and stakeholders;
— Ensure that the Scrum teams work within Scrum theory, practices, and rules;
— Facilitate Scrum events as requested or needed;
— Consistently deliver high-quality customer service;
— Manage project documentation & maintain related knowledge base;
— Remove impediments to the Development Team’s progress;
— Coach teams in self-organisation and cross-functionality;
— Conduct performance evaluation of project team members, and provide employee performance feedback to department heads;
— Team staffing, hiring, and attrition control.

👉 What we offer:

📈 Professional Growth opportunities:
— Ambitious goals and interesting projects;
— Regular & transparent performance review and feedback process;
— Possibility for both vertical or horizontal growth (in case you want to try a different path).

🎁 Benefits program
— 18 working days of fully paid vacation;
— Free tax reporting support by our Financial department;
— Help with individual entrepreneurs’ questions and accounting support;
— Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.);

😌 Comfortable Working conditions
— Flexible working hours;
— Provision of required equipment;
— Remote working model.

About the Role:

We’re looking for a Vibe Coder — a proactive and curious developer eager to dive into the world of AI, LLMs, and innovative internal tools. This is a perfect role for someone with a solid technical background (preferably a recent graduate or final-year student) who wants to grow fast by working hands-on with cutting-edge technologies.

You’ll work on internal R&D initiatives, experimenting with product ideas and integrating AI-driven features. While the role has a strong backend focus, you’ll also get the chance to explore the “vibe” of front-end coding — building functional and intuitive interfaces to bring ideas to life.

👉 What You’ll Do:

• Develop and maintain internal tools and prototypes related to AI and LLM initiatives.
• Work primarily with Python (Django or FastAPI) and learn to extend functionality into the front end.
• Collaborate closely with internal teams to turn ideas into working product experiments.
• Continuously research, test, and apply new technologies in AI-driven development.
• Participate actively in brainstorming sessions and product discussions.

👉 What We’re Looking For:

• 1–2 years of hands-on commercial coding experience.
• Technical education background — Computer Science, Engineering, or related field.
• Solid knowledge of Python, experience with Django or FastAPI is a strong plus.
• Eagerness to learn and experiment with LLMs, AI frameworks, and front-end basics.
• A proactive and self-driven attitude — you don’t wait for tasks, you create them.
• Curiosity about how products are built and how AI can enhance real-world solutions.

👉 What we offer:

📈 Professional Growth Opportunities

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;

• Possibility for both vertical or horizontal growth (in case you want to try a different path).

   

🎁 Benefits Program

• 18 working days of fully paid days off.
• Help with individual entrepreneurs’ questions and accounting support;

• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

   

😌 Comfortable Working Conditions

• Flexible working hours;
• Provision of required equipment;
• Remote working model.