Are you our new AI Engineer?

Being an AI/ML Engineer at Intellishore, you will get to shape and implement technology as well as business solutions to deliver value to our clients across different industries and business areas. We are not an industry-specific consultancy, so you should thrive in learning new industries and solving complex infrastructural problems. Two projects are rarely the same! 

You will get the chance to immerse yourself in some of the most exciting technologies while gaining an in-depth understanding of specific business challenges as you engage with clients in close collaboration with your dedicated Intellishore project team. Because working at Intellishore means working together with people representing other competencies than yourself. 

What will be your key responsibilities? 

Intellishore is a cross-functional consultancy where you will represent the back-end area in the technical track. Here you will be responsible for (among other things): 

• Develop and implement machine learning and generative AI solutions. 

• Build scalable data pipelines and integrate AI models into production environments. 

• Implement natural language processing (NLP) and retrieval-augmented generation (RAG) techniques. 

• Create proof-of-concepts to demonstrate AI capabilities. 

• Collaborate with cross-functional teams on solution design and development. 

• Support client engagements and effectively communicate technical concepts.  

And what specific capabilities are we looking for? 

We are looking for an AI/ML Engineer at the beginning of their career who is curious and eager to develop real-life solutions for interesting clients. Perhaps you have recently completed your education and have a few years of full-time experience in the field of AI and Data Science, possibly from a consultancy. 

At Intellishore, we are what you might call ‘agnostic,’ meaning we act as an objective technology partner, implementing only tailored and best-fit solutions for our clients. Therefore, you should be open-minded and curious to learn new technologies.  

Ideally, you match all or most of the following attributes: 

• 1+ years of experience in machine learning and AI engineering. 

• Strong Python programming skills. 

• Experience with ML frameworks (XGBoost, PyTorch, TensorFlow, etc.). 

• Familiarity with LLMs, vector databases, and RAG techniques. 

• Knowledge of cloud platforms (AWS, Azure, or GCP). 

• Understanding of data processing techniques and best software engineering practices. 

• Strong problem-solving skills and ability to learn quickly. 

• Effective communication and collaboration skills.