Your new company
Our client, a leading global chemistry company in the US, Canada, Asia and Europe, is going through a Digital Transformation. They are building a Digital Hub for the global business in Toronto city, therefore we are hiring multiple technology talents with ambition to join the digital hub. Our client has earned various awards, including being recognized by Mediacorp as a Top Employer in Canada and the GTA in 2023, and for many consecutive years prior. Most recently, BASF was thrilled to receive two awards for the first time – Forbes 2022 Canada’s Best Employers for Diversity as well as one of Canada’s Top Employers for Young People in 2023.
Your new role
We are seeking an AI Engineer specialized in Natural Language Processing to join our team of AI enthusiasts. In this role you will have the opportunity to drive innovative solutions, collaborate with top-tier developers, and optimize models that shape the future of our industry. You will enjoy a rewarding career with competitive benefits, continuous learning, and a vibrant work environment.
- Develop and implement ML models: Create and refine machine learning models tailored for NLP applications to advance our technological capabilities.
- Develop, train and test modern GenAI/transformer-based models.
- Work on multi-modal GenAI involving text and images.
- Apply software patterns like RAG with hybrid search.
- Finetuning LLMs
- Collaborate with software developers: Work closely with our development team to seamlessly integrate your models into our production systems, ensuring robust and reliable performance.
- Optimize models: Enhance model performance and scalability to meet the demands of our extensive and diverse operational requirements.
What you'll need to succeed
- MSc or PhD in Natural Language Processing, Data Science or related field (Candidates with pure Computer Science background must showcase a strong focus on data science through projects/internships).
- Minmum 2–3 years of relevant work experience (4+ years preferred).
Note: Work experience in academia will only be counted if the applicant has completed a PhD.
- ML model development: Proven experience in creating and deploying machine learning models for NLP, showcasing your expertise in these critical areas.
- Framework proficiency: Strong knowledge of frameworks such as TensorFlow, PyTorch, or Keras to develop and refine ML models efficiently.
- Library familiarity: Proficiency with libraries like Hugging Face Transformers for NLP to leverage advanced tools and techniques in your work.
- Data preprocessing skills: Competence in data preprocessing and feature engineering using tools like pandas, SQL, or similar technologies to prepare high-quality datasets.
- Proficient in PyTorch/Tensorflow, Huggingface Transformers/SentenceTransformers, LangChain/LangGraph/sklearn/numpy/Pandas/SQL/NoSQL DBs including Vector DBs/Docker/Kubernetes/MLFlow/FastAPI/GraphQL/Azure/AWS/git.
- Experience with agent-based systems is desirable.
- A background in Chemistry will also be considered favorably
What you'll get in return
The total rewards that you receive as an employee go way beyond a paycheck. From competitive health and insurance plans to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, they believe investing in you is investing in their success. Working for a large, global organization, you’ll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.
They also provide engaging learning and development opportunities to help you make the most of your talents and your role.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
#LI-DNI
- Vanitha Parthipan
