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