AI/ML Engineer

Experience Level: Mid to Senior

Industry: Life Sciences Quality Management SaaS

About the Role

We're looking for a strong software engineer with AI/ML expertise to join our AI & Data Analytics team. You will lead and contribute to impactful projects that leverage advanced machine learning, analytics techniques, and large language models (LLMs). Your primary responsibility will involve designing, developing, and deploying AI-powered features to enhance our platform's capabilities.

Requirements

Key Responsibilities

• Develop and implement machine learning models, including applications involving large language models (LLMs), to enhance product capabilities.
• Analyze structured and unstructured data, including text-based documents and event records.
• Conduct data preprocessing, exploratory data analysis, feature engineering, and model validation.
• Utilize semantic search techniques, retrieval-augmented generation (RAG) methods, and advanced LLM-based frameworks.
• Collaborate with product managers, software developers, and quality assurance teams to integrate and deploy AI features.
• Monitor, evaluate, and optimize model performance continuously.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, Statistics, or related fields.
• 7+ years of experience as a Software Engineer.
• 3+ years of practical experience in AI, machine learning, or related roles.
• Strong software engineering skills: clean code, testing, API development.
• Proficiency in Python and key libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
• Hands-on experience working with and integrating LLMs in production systems
  Experience in semantic search, document retrieval, text analytics, and prompt engineering.
• Experience with Cloud platforms (AWS preferred) and their relevant services.
• Robust analytical, problem-solving, and critical thinking skills.

Preferred Qualifications

• Track record of shipping ML features that are actively used in production.
• Experience processing regulatory documents, compliance texts, or technical documentation in regulated industries
• Experience fine-tuning LLMs and developing RAG systems.
• Prior experience within SaaS or life sciences sectors.
• Familiarity with cloud platforms (AWS, Azure, GCP) and machine learning deployment processes.
• Knowledge of vector databases and modern AI application architectures.

Soft Skills

• Effective communication and collaboration abilities.
• Ability to translate complex technical solutions into understandable insights for business stakeholders.
• Experience working in cross-functional teams and agile development environments.
• Proactive mindset, attention to detail, and commitment to quality outcomes.

Why Scilife?

Scilife helps life science companies digitize, automate, and scale their quality and compliance processes. Our eQMS SaaS platform empowers organizations to focus on innovation while staying audit-ready and compliant with regulations.

We’re growing fast across EMEA and are looking for driven, customer-focused Account Executives to help expand our footprint across the life sciences industry.

What We Offer

• Fully remote work across EMEA with flexible hours.
• Competitive compensation with performance-based incentives.
• Collaborative, international team culture.
• Clear career path toward Senior AE or leadership roles.
• Continuous professional training and development.
• Opportunity to make a measurable impact in a fast-scaling SaaS company transforming life sciences.
  

Our Core Values

• Healthy Inside-Out – We prioritize balance and well-being.
  
• Outside of the Box – We embrace creativity and innovation.
• Driven by Evidence – We rely on data and insights to guide decisions.
• All Hearts and Ears – We listen, support, and grow together.

Application Instructions:

If you're ready to help us build a better platform from the ground up, we want to hear from you! We encourage candidates from under-represented backgrounds to apply, even if you don’t meet every single qualification.