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
