AI Engineer

As an AI/ML Engineer with 5+ years of experience, you will be responsible for the following: - Strong programming skills in Python, with knowledge of SQL and Java as an advantage. - Hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP). - Experience building Generative AI applications using Large Language Models (LLMs). - Strong expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and Agentic AI. - Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, and OpenAI SDK. - Experience working with vector databases such as Pinecone, FAISS, ChromaDB, Milvus, or Weaviate. - Proficiency in ML frameworks and libraries including PyTorch, TensorFlow, Scikit-learn, XGBoost, Pandas, and NumPy. - Experience developing and deploying REST APIs using FastAPI or Flask. - Good understanding of MLOps, including MLflow, Kubeflow, model deployment, monitoring, model versioning, and CI/CD pipelines. - Experience with Docker, Kubernetes, Git, GitHub Actions, or Jenkins. - Hands-on experience with at least one cloud platform: AWS, Azure, or GCP, including AI services such as SageMaker, Azure OpenAI, AWS Bedrock, or Vertex AI. - Experience working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis. - Knowledge of software engineering best practices, scalable system design, and Agile development methodologies. - Excellent analytical, problem-solving, communication, and stakeholder management skills. - Ability to work collaboratively in cross-functional teams and deliver production-grade AI solutions. Qualifications required for this role include: - 5+ years of experience in AI/ML engineering. - Strong software development fundamentals. - Proficiency in Python, with knowledge of SQL and Java being an advantage. - Experience in Machine Learning, Deep Learning, and NLP. - Familiarity with AI frameworks, ML frameworks, and cloud platforms. - Strong analytical, problem-solving, and communication skills. Please note that the company's additional details were not provided in the job description. As an AI/ML Engineer with 5+ years of experience, you will be responsible for the following: - Strong programming skills in Python, with knowledge of SQL and Java as an advantage. - Hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP). - Experience building Generative AI applications using Large Language Models (LLMs). - Strong expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and Agentic AI. - Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, and OpenAI SDK. - Experience working with vector databases such as Pinecone, FAISS, ChromaDB, Milvus, or Weaviate. - Proficiency in ML frameworks and libraries including PyTorch, TensorFlow, Scikit-learn, XGBoost, Pandas, and NumPy. - Experience developing and deploying REST APIs using FastAPI or Flask. - Good understanding of MLOps, including MLflow, Kubeflow, model deployment, monitoring, model versioning, and CI/CD pipelines. - Experience with Docker, Kubernetes, Git, GitHub Actions, or Jenkins. - Hands-on experience with at least one cloud platform: AWS, Azure, or GCP, including AI services such as SageMaker, Azure OpenAI, AWS Bedrock, or Vertex AI. - Experience working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis. - Knowledge of software engineering best practices, scalable system design, and Agile development methodologies. - Excellent analytical, problem-solving, communication, and stakeholder management skills. - Ability to work collaboratively in cross-functional teams and deliver production-grade AI solutions. Qualifications required for this role include: - 5+ years of experience in AI/ML engineering. - Strong software development fundamentals. - Proficiency in Python, with knowledge of SQL and Java being an advantage. - Experience in Machine Learning, Deep Learning, and NLP. - Familiarity with AI frameworks, ML frameworks, and cloud platforms. - Strong analytical, problem-solving, and communication skills. Please note that the company's additional details were not provided in the job description.