Role: GenAI Engineer
Experience : 2 to 6 years
Work location- Bangalore
Notice Period : Immediate joiners
Mandatory Skills- AI/ML, Python, GENAI and lists mentioned in JD
Qualification Required- B.Sc/ M.Sc in Computer Vision, ML, Statistics
Job Description:
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.
Skill Sets Requirement:
- GenAI, Machine Learning , Applied Machine Learning, Machine Learning Operations, Computer Vision, Prompt Engineering
- Deep Learning , Reinforcement Learning, Supervised Learning , Artificial Neural Networks, PyTorch, Retrieval-Augmented Generation
- Big Data, AI Literacy, Programming in Python, R, Scala, C++, CUDA, SQL, Statistics , AI Tools, Analytical Thinking