

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.
Key Roles & Responsibilities:
- Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
- End-to-End Model Development: Lead the entire lifecycle of AI models—from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
- Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications.
- Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows.
- Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes.
- Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
- MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
- Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable.
- API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications.
- Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
- Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
- Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering.
- Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team.
Basic Qualifications:
- A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field
- Experience: 5-8 Years
- Strong programming skills in Python and Java
- Good understanding of machine learning fundamentals
- Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- Familiar with frontend development and frameworks like React
- Basic knowledge of LLMs and transformer-based architectures is a plus.
Preferred Qualifications
- Excellent problem-solving skills and an eagerness to learn in a fast-paced environment
- Strong attention to detail and ability to communicate technical concepts clearly

About Gruve
About
Gruve was founded on the premise that new technologies in Machine Learning, Data Sciences, Artificial Intelligence, and Software Development are transforming Enterprise Services. Our goal is to harness these advancements to deliver services with superior efficiency and tangible outcomes.
Our Team
Our team is built with a strong background in Software and Services, united by a shared sense of Purpose: to achieve the best outcomes for our clients. We value all our stakeholders, recognizing that People are our most important assets. We adopt a Process framework that ensures the delivery of high-quality results every time.
What Sets Us Apart
Our differentiation is straightforward: we genuinely care, we innovate, we disrupt, and we work hard.
Our Core Values:
Customer Success: Putting customers first.
Positive Feedback Loop: Embracing continuous improvement.
Pursuit & Persevere: Staying resilient and ambitious.
Integrity and Ethics: Acting with honesty and ethics.
Team & Trust: Collaborating with trust and respect.
Giving Back: Committing to community and responsibility.
Gruve is Norwegian for "To Mine or Mining Activity"
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B

