Mandatory Skills

Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy

Preferred Skills

AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure

Required Skill Sets:

• Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
• Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
• Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn.
• Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink.
• Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions.
• Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3.
• Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
• Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.