Machine Learning Engineer

About Frojigo

Frojigo is a fast-growing B2B SaaS startup focused on building an AI-powered platform for Environmental, Social, and Governance (ESG) solutions. Our platform provide powerful solutions for ESG reporting, analysis, and optimization using data-driven insights, cutting-edge machine learning and AI techniques, and user-friendly interfaces. As we continue to expand, we're looking for talented and motivated individuals to join our innovative team and contribute to the future of data analytics and sustainable technologies.

Overview

We are looking for a highly motivated and technically skilled AI/ML Developer to join our team (
Duration: 2-3 months
). As part of this team, you will work on developing and improving the algorithms that drive our ESG platform's analytical and predictive capabilities. You'll gain hands-on experience in machine learning, AI, and Python development, to tackle real-world problems in sustainability.

This position offers a unique opportunity to work on advanced AI models, solve complex business challenges, and contribute directly to the success of a fast-growing startup.

Responsibilities

• Assist in the design, development, and deployment of machine learning models to solve real-world ESG challenges.
• Develop and optimize Python-based algorithms for AI-driven solutions, including predictive modeling, classification, and optimization algorithms.
• Collaborate with the Solver Team to implement AI-powered tools and integrate machine learning algorithms into the broader platform architecture.
• Work with large datasets, clean and preprocess data, and extract meaningful insights to drive model performance.
• Support the creation and deployment of APIs and interfaces to connect machine learning models with the core platform.
• Participate in model validation, performance testing, and hyperparameter tuning to ensure optimal accuracy and efficiency.
• Collaborate on GitHub for version control, project management, and continuous integration, following industry best practices.
• Assist in the preparation of technical documentation and presentations that explain complex models and approaches to non-technical stakeholders.
• Stay updated on the latest trends and research in AI/ML and apply relevant techniques to our projects.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proficiency in Python and experience with libraries such as NumPy, Pandas, TensorFlow, Keras, or PyTorch, tailored for fine-tuning models (e.g., LoRA, QLoRA) and domain adaptation in LLMs.
• Strong understanding of machine learning fundamentals, including regression, classification, clustering, and neural networks, with expertise in advanced document understanding (e.g., RAG, cross-document coreference, LayoutLM/Donut).
• Experience in semantic search and information retrieval (e.g., dense passage retrieval, hybrid search, semantic similarity) and custom NER development.
• Experience with version control systems, especially Git and GitHub.
• Strong problem-solving skills and a passion for writing efficient code.
• Ability to learn quickly in a fast-paced, startup environment.
• Strong communication skills and the ability to work both independently and within a team.
• A good command of English is required, and knowledge of other languages is an advantage.

Nice-to-Haves

• Exposure to natural language processing (NLP), time series analysis, or optimization algorithms.
• Familiarity with cloud platforms like Azure for machine learning model deployment.
• Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes.
• Understanding of ESG reporting standards and the use of AI in sustainability or environmental solutions.
• Knowledge of SQL for querying and managing relational databases.
• Experience with Agile methodologies.

Benefits

Hands-on experience: Get exposure to real-world projects, developing models and algorithms that have direct applications on a live platform.

Career Growth: Opportunity for extension into a full-time role.

Dynamic Environment: Experience the excitement of working in a fast-growing startup, with strong cultural diversity, making a direct impact on a cutting-edge ESG product.

Impactful work: Your contributions will have a tangible impact on the platform and the future of Frojigo.

Life Wellbeing: We offer flexible working hours and a collaborative, supportive work culture.

Holidays: 25 days of holidays per year.

Salary: Competitive and attractive compensation.

We are an equal opportunity employer and value diversity in our team. We encourage individuals of all backgrounds and experiences to apply. Even if you don't meet every requirement listed, your eagerness to learn and grow matters most to us. We believe in supporting our team members as they develop and evolve.

How to Apply

If you're passionate about AI, machine learning, and sustainability, we'd love to hear from you Interested candidates should send their resume and a brief cover letter to

. Please include links to any relevant projects or GitHub repositories you've worked on.

We look forward to seeing how you can help shape the future of sustainability tech with us