Wolters Kluwer - Artificial Intelligence Engineer - NLP/Computer Vision

<p>Job Description :</p><p><br/></p><p>Key Responsibilities :</p><p><br/></p><p>- Design, develop, and deploy AI/ML models for real-world applications.</p><p><br/></p><p>- Work on natural language processing (NLP), computer vision, or generative AI projects as required.</p><p><br/></p><p>- Develop and optimize LLM-powered applications (chatbots, summarization, reasoning tools, etc.).</p><p><br/></p><p>- Build and maintain data pipelines for training and inference workflows.</p><p><br/></p><p>- Collaborate with product, data, and engineering teams to integrate AI solutions into business applications.</p><p><br/></p><p>- Perform model evaluation, tuning, and validation to ensure accuracy and reliability.</p><p><br/></p><p>- Implement MLOps/CI-CD pipelines for deploying and monitoring models at scale.</p><p><br/></p><p>- Ensure compliance with AI ethics, fairness, bias reduction, and security best practices.</p><p><br/></p><p>Basic Qualifications :</p><p><br/></p><p>- Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or a related field.</p><p><br/></p><p>- 5+ years of experience in machine learning, deep learning, or applied AI engineering.</p><p><br/></p><p>- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn).</p><p><br/></p><p>- Hands-on experience with LLMs, NLP, or generative AI.</p><p><br/></p><p>- Solid understanding of data structures, algorithms, and statistical modeling.</p><p><br/></p><p>- Experience with REST APIs, microservices, or cloud deployments.</p><p><br/></p><p>Preferred Qualifications :</p><p><br/></p><p>- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).</p><p><br/></p><p>- Experience with transformer models (BERT, GPT, LLaMA, etc.).</p><p><br/></p><p>- Familiarity with vector databases (Pinecone, Weaviate, FAISS).</p><p><br/></p><p>- Proficiency in MLOps tools (MLflow, Kubeflow, Airflow).</p><p><br/></p><p>- Exposure to data pipelines, big data frameworks (Spark, Hadoop).</p><p><br/></p><p>- Strong analytical mindset and ability to think from a customer/business perspective.</p> (ref:hirist.tech)