Mobica | Be Extraordinary_ 

We are Mobica, a global software services company headquartered in Manchester, UK, with offices across Europe and the USA. We partner with businesses across multiple industries, from aerospace to finance and semiconductors to automotive, providing them with access to engineering expertise across the entire technology stack.

The Mobica Way

• Well-known Clients and Projects focused on the Technologies of Tomorrow - Our expertly crafted software underpins many of today’s amazing customer experiences. We work with well-known global brands to develop widely used tech. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary. 

• Empowered Mobicans driving their Careers - We empower our people to develop their skills, push boundaries and move towards new heights. As a Mobican, you’ll have ample opportunities to advance, learn and grow towards your desired career outcomes.

• Ideas are prioritised over Hierarchy and Biases - In Mobica, you are listened to and valued. We’ve built an environment that fosters open communication. We've made it our mission to ensure all team members feel welcome, protected from discrimination and have access to equal opportunities. 

We believe that employees should be happy - At Mobica, you can define precisely how you would like to work - at home or in the office - we will create the environment for that. You’ll get access to various virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and make new friends. 

We are looking for a skilled Data Scientist to join our Generative AI team to build LLM-based enterprise solutions. Main responsibilities would be testing, fine-tuning and deploying generative AI models, in addition to collaborating with cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals.

Responsibilities:

• Conceptualize, prototype, and work with state-of-the-art LLMs to drive technical solutions
• Enhance and innovate existing model completions with prompt engineering or prompt tuning techniques
• Develop performance monitoring and evaluation pipelines to ensure the quality and effectiveness of generative models
• Stay up-to-date with the latest research and advancements in Generative AI and actively contribute to upskilling of the team

Must have:

• Minimum of BSc or higher degree in STEM subject 
• Proficient in Python
• Solid knowledge of machine learning concepts (model training, hyper parameter optimisation, experiment tracking, learning curves, etc.) with a focus on NLP and Gen AI
• Familiarity with RAG-based chatbots
• Experience with large language models - chatgpt, llama, falcon, BARD, etc.
• Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, LangChain etc.
• Familiarity with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
• Can conceptualise, formulate, prototype and implement algorithms to solve technical problems.
• Writing and debugging Python/SQL code adhering to best coding practices (debugging, unit testing, etc.)
• Data Wrangling skills (NULLs, duplicates, outliers, regex cleaning, etc.)
• Example of building models and data pipelines.
• Experience with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
• Experience with large language models - GPT3, Word2Vec, GloVe, BERT, etc.
• Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, etc.
• Experience with version/source control using Git.
• Experiment tracking (using mlflow, comet, Neptune, tensorboard, weights & biases, sagemaker, etc.)

Nice to have:

• Experience with cloud platform, particularly Azure
• Experience deploying machine learning models through REST API
• Understanding of Agile methodologies

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

• Competitive salary adequate to your skills and performance
• Flexible working hours
• Training programs
• Private medical insurance
• Multisport program
• English lessons
• Company social events
• Weekly cakes and fruits
• Relocation assistance