Artificial Intelligence Engineer at beebom — Noida
Artificial Intelligence Engineer at beebom
Noida · Noida · full time · mid level · Technology
About the role
Job Description : Role & Responsibilities : - 4+ years of experience in ML and AI, with a strong track record of delivering complex ML and AI projects. - In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, Gen AI, RAG and neural networks. - Hands-on experience in Gen AI, AgenticAI, Open AI, LLM models, RAG, LangChain, Embeddings, chunking, NLP, text pre processing, in a production based setting. - Proficiency in programming languages such as Python (Django & Fast API) along with ML and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Experience in applying ML and AI techniques to solve real-world problems in areas such as chatbots, recommendation systems, fraud detection, natural language processing. - Experience with Cloud platforms - AWS/ Azure/ GCP. - Experience in DBMS, SQL, Vector DBs and building Data Ingestion pipelines for structured and unstructured data. - Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation. - Excellent communication, presentation, and interpersonal skills.
Responsibilities
Job Description :
Role & Responsibilities :
- 4+ years of experience in ML and AI, with a strong track record of delivering complex ML and AI projects.
- In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, Gen AI, RAG and neural networks.
- Hands-on experience in Gen AI, AgenticAI, Open AI, LLM models, RAG, LangChain, Embeddings, chunking, NLP, text pre processing, in a production based setting.
- Proficiency in programming languages such as Python (Django & Fast API) along with ML and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience in applying ML and AI techniques to solve real-world problems in areas such as chatbots, recommendation systems, fraud detection, natural language processing.
- Experience with Cloud platforms - AWS/ Azure/ GCP.
- Experience in DBMS, SQL, Vector DBs and building Data Ingestion pipelines for structured and unstructured data.
- Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation.
- Excellent communication, presentation, and interpersonal skills.
Requirements
Job Description :
Role & Responsibilities :
- 4+ years of experience in ML and AI, with a strong track record of delivering complex ML and AI projects.
- In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, Gen AI, RAG and neural networks.
- Hands-on experience in Gen AI, AgenticAI, Open AI, LLM models, RAG, LangChain, Embeddings, chunking, NLP, text pre processing, in a production based setting.
- Proficiency in programming languages such as Python (Django & Fast API) along with ML and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience in applying ML and AI techniques to solve real-world problems in areas such as chatbots, recommendation systems, fraud detection, natural language processing.
- Experience with Cloud platforms - AWS/ Azure/ GCP.
- Experience in DBMS, SQL, Vector DBs and building Data Ingestion pipelines for structured and unstructured data.
- Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation.
- Excellent communication, presentation, and interpersonal skills.
Skills: Job Description :
Role & Responsibilities :
- 4+ years of experience in ML and AI, with a strong track record of delivering complex ML and AI projects.
- In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, Gen AI, RAG and neural networks.
- Hands-on experience in Gen AI, AgenticAI, Open AI, LLM models, RAG, LangChain, Embeddings, chunking, NLP, text pre processing, in a production based setting.
- Proficiency in programming languages such as Python (Django & Fast API) along with ML and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience in applying ML and AI techniques to solve real-world problems in areas such as chatbots, recommendation systems, fraud detection, natural language processing.
- Experience with Cloud platforms - AWS/ Azure/ GCP.
- Experience in DBMS, SQL, Vector DBs and building Data Ingestion pipelines for structured and unstructured data.
- Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation.
- Excellent communication, presentation, and interpersonal skills.