Artificial Intelligence Engineer

Position : GEN AI

Location: Bangalore

Experience: 5-10 years

Role Summary:

Overview :

Mandatory Skills- AI/ML, Python, GENAI and lists mentioned in JD

Experience on Multimodal LLMs model like Google Gemini, OpenAI GPT-4V (Vision) , DALL-E (OpenAI), LLaVA (Large Language & Vision Assistant), GenAI, Python.

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.

Qualifications:

Qualification Required- B.Sc/ M.Sc in Computer Vision, ML, Statistics