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AI ML Engineer
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AI ML Engineer
Infosys- Posted 20 hours ago
- Over 50 applicants have applied
Job Description
Python programming Machine Learning Algorithms (Regression, Classification, Clustering) Deep Learning frameworks: TensorFlow, PyTorch, Keras Data Analysis using Pandas, NumPy SQL and Database Management Data Visualization using Matplotlib, Seaborn, Power BI (optional) REST APIs and Model Deployment Version Control using Git
Develop, train, test, and deploy Machine Learning and Deep Learning models. Build AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Perform data collection, cleansing, feature engineering, and model optimization. Evaluate model performance using appropriate metrics and improve accuracy. Work with structured and unstructured datasets for business problem-solving. Develop APIs and integrate ML models into production applications. Collaborate with data scientists, software developers, and business stakeholders. Monitor model performance and maintain deployed AI solutions. Document model architecture, experiments, and deployment processes
Natural Language Processing (NLP) Computer Vision Generative AI / Large Language Models (LLMs) Prompt Engineering LangChain or similar AI orchestration frameworks Vector Databases (FAISS, Pinecone, ChromaDB)
Develop, train, test, and deploy Machine Learning and Deep Learning models. Build AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Perform data collection, cleansing, feature engineering, and model optimization. Evaluate model performance using appropriate metrics and improve accuracy. Work with structured and unstructured datasets for business problem-solving. Develop APIs and integrate ML models into production applications. Collaborate with data scientists, software developers, and business stakeholders. Monitor model performance and maintain deployed AI solutions. Document model architecture, experiments, and deployment processes
Natural Language Processing (NLP) Computer Vision Generative AI / Large Language Models (LLMs) Prompt Engineering LangChain or similar AI orchestration frameworks Vector Databases (FAISS, Pinecone, ChromaDB)
More Info
Key Skills
Data Visualization using Matplotlib
Data Analysis using Pandas
Pinecone
Vector Databases
Model Deployment
ChromaDB
Version Control using Git
Natural Language Processing (NLP)
LangChain
Deep Learning frameworks
SQL and Database Management
Generative AI
FAISS
Prompt Engineering
Large Language Models (LLMs)
About Company
Skills:
Neural Networks, Python Frameworks, image processing algorithms, chatbot development, generative AI models, deep learning techniques, AI applications, cloud AI services, on-premises infrastructure
Skills:
Keras, Sql, Decision Trees, Tensorflow, Pytorch, Python, Arima, Hypothesis Testing, Statistical Analysis, Z-Test, CNTK, Great Expectations, T-Test, Regression, probabilistic graph models, MXNet, support vector machines, exponential smoothing, ARIMAX, Sci-Kit Learn, KubeFlow, BentoML, Evidently AI
Skills:
Ml, Cloud Migration, Software Engineering, multi-agent systems, Generative AI, application transformation, LLMs, Ai, AI-assisted application modernization, Security, Agentic AI, platform upgrades, responsible AI practices, Governance, observability, RAG architectures, autonomous agents
Skills:
data engineering , Technical Leadership, python, Pytorch, Deep Learning, Machine Learning, Numpy, MLops, Azure, retrieval-augmented generation, vector search, langchain, mentorship, model deployment, embeddings, langgraph, llmops, agentic ai, production integration, model serving, prompt engineering, pipeline architecture
Skills:
Python Programming, Databricks, Machine Learning Algorithms, Prompt engineering