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AI/ML
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AI/ML
Infosys Limited- Posted 8 days ago
- Over 50 applicants have applied
Job Description
Responsibilities :
Design, develop, train, test, and deploy Machine Learning models for business use cases. Build and optimize predictive, classification, recommendation, and forecasting models. Develop and implement NLP, LLM, and Generative AI solutions. Perform data collection, cleaning, feature engineering, and exploratory data analysis. Fine-tune and optimize pre-trained models for domain-specific applications. Develop APIs and microservices to expose AI/ML models. Implement MLOps practices for model deployment, monitoring, versioning, and retraining. Work with large datasets and distributed processing frameworks. Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. Monitor model performance, accuracy, and drift in production environments. Create technical documentation and best practices for AI/ML implementations.Technical and Professional Requirements:
Python, SQL, Data Structures & Algorithms Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit-Learn Generative AI, LLMs, LangChain, RAG, Prompt Engineering AWS/Azure/GCP, Docker, Kubernetes, MLOps, CI/CD NLP, Vector Databases (FAISS/Pinecone/ChromaDB), Pandas, NumPy, API DevelopmentMore Info
Job Type:
Industry:
Role:
Function:
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Key Skills
AI-Data science
PYTHON - AI-Data Science
AI-Generative AI
Generative AI for Data Analytics
About Company
Skills:
react.js , Sqlalchemy, Nginx, Machine Learning, Pyspark, PostgreSQL, Django Rest Framework, Javascript, Ec2, Flutter, Python, AWS, Sql, Deep Learning, Django, Pandas, Load Balancing, Databricks, FastAPI, AI Agents, Chatbots, CI CD, LangGraph, GitHub Actions, Dify, LangChain, Generative AI, LLMs, OpenAI API, AGNO, RAG, Prompt Engineering
Skills:
theoretical physics , Machine Learning, Artificial Intelligence, Control Algorithms, Software Development, Data Pipelines, Simulation-Driven Engineering, Physics-Informed Neural Networks, Systems engineering, Computer-Aided Engineering, Statistical Modeling, Computational Methods
Skills:
Machine Learning, Tensorflow, Numpy, Nlp, Pytorch, Docker, Python, AWS, Data Structures, Scikit Learn, Sql, Deep Learning, Api Development, Algorithms, Gcp, MLops, Pandas, Azure, Kubernetes, Pinecone, CI CD, Vector Databases, ChromaDB, LangChain, Generative AI, LLMs, FAISS, RAG, Prompt Engineering
Skills:
Scalability, Sql, Ml, Model Building, Deep Learning, Predictive Modelling, AWS, Python, Azure, Nlp, Hypothesis Testing, Data Cleaning, LLMs, Feature Engineering, Unsupervised Machine Learning, Supervised Machine Learning, Prompt Engineering, Ai, Operationalization, Experimentation Setup, Vector Databases, Transformer Architectures, RAG Applications
Skills:
MLops, Python, Azure Infrastructure, Azure DevOps, automated testing frameworks, CI CD workflows, Data AI Projects, Generative AI solutions, scalable RAG systems, deployment and governance of AI applications, GPT models, vector databases, secure data pipelines, Azure OpenAI integration, Azure AI Search, model tuning, prompt engineering