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AI/ML ENGINEER
Job Description
Roles & Responsibilities:
AI/ML Solution Development:
- Solve business use cases using computer vision, OpenCV, machine learning, AI, and analytics.
- Develop machine learning applications according to business requirements.
- Train, retrain, and fine-tune models as necessary.
- Select appropriate datasets and data representation methods for ML applications.
Programming & Technical Implementation:
- Write efficient code in Python, using libraries such as Pandas, NumPy, and TensorFlow.
- Understand and program complex logical workflows.
- Perform statistical analysis and fine-tuning using test results.
Collaboration & Problem-Solving:
- Work closely with cross-functional teams to implement AI-driven solutions.
- Apply knowledge of linear algebra, probability, statistics, and image processing to solve technical challenges.
- Maintain a proactive approach to learning and exploring emerging technologies.
More Info
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About Company
Applicate IT participates in your project as an active sparring partner, contributing to all phases—from idea and concept development, through model optimization and software development, to market readiness and implementation. With many years of experience in the Danish and international IT industry, Applicate IT has expertise in both business understanding and operations. We always integrate your company’s business opportunities into the solutions, from A to Z, including the subsequent operation of the solution.
Skills:
Artificial Intelligence - BASIC, Machine Learning, Natural Language Processing, AI-Generative AI, Foundational, Core Engineering, Knowledge Based Engineering, Technology, AI-Data science
Skills:
Python, production deployment and monitoring of AI ML solutions, multi-step agent workflows, prompt engineering, RAG architectures
Skills:
Machine Learning, Python, LangChain framework
Skills:
Deduplication, Git, Pytorch, Linux, Python, dataset quality, Data Processing, machine learning pipelines, Hugging Face, LLM prompting, data leakage prevention, structured outputs, LLM fine-tuning, experiment configurations, retrieval, GPU environments, Annotation
Skills:
BigQuery, Sql, MLops, Python, Power Bi, Generative AI, BigQuery ML, Vertex AI, LangChain, Looker