7 Taskweaver Jobs

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. Your role will involve a solid understanding and hands-on skills for GenAI application deployment, which includes development and engineering tasks. This will include: - Data ingestion - Selecting suitable LLMs - Implementing simple and advanced RAG - Setting up guardrails - Prompt engineering for optimization - Ensuring traceability and security - Evaluating LLMs - Enabling observability - Deploying at scale on the cloud or on-premise The ideal candidate should possess 3 - 5 years of experience in working on ML projects, encompassing tasks such as: - Bu...

Area(s) of responsibility Responsibilities Flask/Django/FastAPI Development Expertise: Develop and maintain AI applications using Flask, Django, or FastAPI frameworks. Participate in the full software development lifecycle from requirements gathering to deployment. Deliver at least 2-3 projects as a developer using these frameworks, demonstrating proficiency and understanding of best practices. Core Python Proficiency Demonstrate proficiency in core Python concepts including iterators, generators, object-oriented programming (OOP), Python shell (REPL), and object-relational mapping (ORM). Implement efficient data structures and handle exceptions effectively. Contemporary AI Frameworks & Tool...

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. This role demands a solid understanding and hands-on skills in GenAI application deployment, encompassing development and engineering skills. You will need to possess expertise in data ingestion, selecting the appropriate LLMs, implementing simple and advanced RAG, guardrails, prompt engineering for optimization, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on-premise. It is essential for candidates to demonstrate knowledge of agentic AI frameworks due to the rapid evolution of this space. Strong background i...

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. Your role will involve a solid understanding and hands-on skills for GenAI application deployment, which includes development and engineering tasks. This will include data ingestion, selecting suitable LLMs, implementing simple and advanced RAG, setting up guardrails, prompt engineering for optimization, ensuring traceability and security, evaluating LLMs, enabling observability, and deploying at scale on the cloud or on-premise. It is crucial that candidates also showcase knowledge on agentic AI frameworks, with a preference for those having a strong ba...

Required Qualifications: 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation,and observability Experience in GenAI application deployment on cloud and on-premise...

Required Qualifications: 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation,and observability Experience in GenAI application deployment on cloud and on-premise...

Required Qualifications: 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation,and observability Experience in GenAI application deployment on cloud and on-premise...