Key Responsibilities:
- Develop deploy and optimize ML models for enterprise use cases.
- Work with RAG (Retrieval-Augmented Generation) LangChain and agentic AI workflows.
- Solve live business problems during interviews and projects using advanced ML concepts.
- Collaborate with cross-functional teams to deliver end-to-end AI/ML solutions.
Requirements
Requirements
Required Skills:
- Strong expertise in Python (hands-on coding expected).
- Experience with ML algorithms RAG LangChain and agentic concepts.
- Ability to think like a solution architect not just a developer.
Strong problem-solving skills and ability to work in a fast-paced environment.
Required Skills:
Required Skills & Qualifications Bachelors or Masters in ML Engineering (preferred) or Data Science. 56 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN SVM Naive Bayes. Proven work with NLP CNNs LLMs and deep learning architectures. Experience working with cloud platforms AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework Dialogflow or OpenAI APIs. Knowledge of model versioning monitoring or MLOps practices. Bonus: Open-source contributions or AI research experience.
Required Education:
Bachelors
Key Responsibilities:Develop deploy and optimize ML models for enterprise use cases.Work with RAG (Retrieval-Augmented Generation) LangChain and agentic AI workflows.Solve live business problems during interviews and projects using advanced ML concepts.Collaborate with cross-functional teams to deli...
Key Responsibilities:
- Develop deploy and optimize ML models for enterprise use cases.
- Work with RAG (Retrieval-Augmented Generation) LangChain and agentic AI workflows.
- Solve live business problems during interviews and projects using advanced ML concepts.
- Collaborate with cross-functional teams to deliver end-to-end AI/ML solutions.
Requirements
Requirements
Required Skills:
- Strong expertise in Python (hands-on coding expected).
- Experience with ML algorithms RAG LangChain and agentic concepts.
- Ability to think like a solution architect not just a developer.
Strong problem-solving skills and ability to work in a fast-paced environment.
Required Skills:
Required Skills & Qualifications Bachelors or Masters in ML Engineering (preferred) or Data Science. 56 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN SVM Naive Bayes. Proven work with NLP CNNs LLMs and deep learning architectures. Experience working with cloud platforms AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework Dialogflow or OpenAI APIs. Knowledge of model versioning monitoring or MLOps practices. Bonus: Open-source contributions or AI research experience.
Required Education:
Bachelors
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