Job Summary:

We're seeking an innovative AI/ML Engineer with strong experience in Natural Language Processing, Machine Learning, Deep Learning, and Generative AI. The ideal candidate will be proficient in building, optimizing, and deploying end-to-end AI solutions using modern tools and scalable cloud platforms.

Key Responsibilities:

• Design and develop machine learning and deep learning models for tasks such as text classification, entity recognition, sentiment analysis, and document intelligence.
• Build and optimize NLP pipelines using models like BERT, GPT, LayoutLM, and Transformer architectures.
• Implement and experiment with Generative AI techniques using frameworks like Hugging Face, OpenAI APIs, and PyTorch/TensorFlow.
• Perform data collection, web scraping, data cleaning, and feature engineering for structured and unstructured data sources.
• Deploy ML models using Docker, Kubernetes, and implement CI/CD pipelines for scalable and automated workflows.
• Use cloud services (e.g., GCP, Azure AI) for model hosting, data storage, and compute resources.
• Collaborate with cross-functional teams to integrate ML models into production-grade applications.
• Apply MLOps practices including model versioning, monitoring, retraining pipelines, and reproducibility.

Technical Skills:

• Languages & Libraries: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Seaborn, XGBoost, NLTK, Hugging Face, BeautifulSoup, Selenium, Scrapy
• Modeling & NLP: Logistic Regression, Random Forest, SVM, CNN, RNN, Transformers, BERT, GPT, LLMs
• Tools & Platforms: Git, Docker, Kubernetes, CI/CD, Azure AI Services, GCP, Vertex AI
• Concepts: Machine Learning, Deep Learning, MLOps, Generative AI, Text Analytics, Predictive Analytics
• Databases & Querying: Basics of SQL
• Other Skills: Data Visualization (Matplotlib, Seaborn), Model Optimization, Version Control

Soft Skills:

• Problem-solving mindset with strong analytical thinking
• Self-motivated with the ability to work independently or in a team
• Adaptable and quick to learn new tools and techniques
• Strong communication and collaboration abilities

Preferred Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or a related field
• Completed relevant certifications/courses in Deep Learning, Generative AI, SQL, and Web Scraping

Submit your cover letter and resume to careers@kensium.com