Mandatory Skills- AI/ML, Python, GENAI and lists mentioned in JD
Qualification Required- B.Sc/ M.Sc in Computer Vision, ML, Statistics
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Core Technical Skills
Programming: Python (essential), R, Java.
Math & Stats: Linear Algebra, Calculus, Probability, Statistics.
Data Handling: Pandas, NumPy for data manipulation; SQL for databases.
ML/DL Fundamentals: Supervised/Unsupervised Learning, Neural Networks (CNNs, RNNs, Transformers).
AI/GenAI Specifics: Generative Models (GANs, VAEs), Large Language Models (LLMs), Prompt Engineering.
Frameworks: TensorFlow, PyTorch, Keras, Hugging Face.
NLP: SpaCy, NLTK, language models.
MLOps & Deployment: Docker, Kubernetes, Cloud (AWS, Azure, GCP), CI/CD, Model Monitoring.
Tools: Git (Version Control), Matplotlib/Seaborn (Visualization).
Core Concepts & Methodologies
Algorithm Design: Developing efficient AI algorithms.
Data Preprocessing: Cleaning, preparing, and augmenting large datasets.
Model Training & Optimization: Hyperparameter tuning, cross-validation.
Software Engineering: Agile/Scrum, clean code, system architecture.
Essential Soft Skills
Problem Solving: Critical thinking to build innovative solutions.
Communication: Explaining complex AI concepts to diverse audiences.
Collaboration: Working in cross-functional teams.
Adaptability: Staying current with rapidly evolving AI research.
Key Platforms/Tools
Cloud: AWS SageMaker, Azure ML, Google AI Platform.
GenAI Libraries: LangChain, LlamaIndex etc.