AI Engineer

Full time BASF Canada Inc. posted 3 days ago in IT Hardware / Software / Consultants /
  • Post Date: July 2, 2024
  • Apply Before : July 15, 2024
  • Salary: Negotiable
  • View(s) 19
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Job Description

AI Engineer (104855) 

 

Working Model: Hybrid (2 days in office)

 

Location: Mississauga, ON 

 

Where the Chemistry Happens…

 

We as Global Digital Services enable BASF’s digitalization and adoption of artificial intelligence. In agile teams, we develop innovative solutions for BASF and its customers, create new exciting customer experiences and business growth, and drive efficiencies in processes. We provide IT that works and offer knowhow and access to latest technologies.

 

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.

Formula for Success: You Will…

 

  • 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.

 

Ingredients for Success: What We Look for in You…

 

  • MSc or PhD in Natural Language Processing, Data Science or related field (Candidates with pure Computer Science background must showcase strong focus on data science through projects/internships).
  • Minimum 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.

Required skills

GenAI ML Models

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