This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply speak to Jack
Job Title: Senior Machine Learning Engineer
Salary: Not Disclosed
Company Description: VC-backed trust & safety AI platform
Job Description: Join a pioneering AI platform leveraging advanced Machine Learning NLP and LLMs to build robust solutions for trust risk assessment and digital compliance. This role involves developing and deploying cutting-edge AI systems that ensure secure and frictionless experiences making a significant impact in critical enterprise domains.
Location: Mumbai India
Why this role is remarkable:
- Work at the forefront of privacy AI developing and deploying advanced LLM and RAG-based solutions for critical enterprise challenges.
- Join a well-funded fast-growing AI platform backed by top-tier VCs poised for significant market expansion.
- Drive the creation of innovative AI systems that establish trust and streamline complex compliance and risk workflows.
What you will do:
- Develop and fine-tune LLMs for sophisticated contract analysis regulatory classification and risk assessment.
- Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid databases to power compliance workflows.
- Build scalable AI APIs and microservices for deploying models in high-availability production environments.
The ideal candidate:
- 5-8 years of experience in Machine Learning NLP and LLM-based solution development.
- Strong expertise in fine-tuning and deploying LLMs (e.g. GPT-4 Llama Mistral) and RAG architectures.
- Proficiency in Python and frameworks like PyTorch TensorFlow Hugging Face or LangChain.
How to Apply: To apply for this job speak to Jack our AI recruiter.
Step 1. Visit our website
Step 2. Click Speak with Jack. Step 3.
Log in with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
Step 5. If the hiring manager would like to meet you Jack will make the introduction.
Required Experience:
Senior IC
This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply speak to JackJob Title: Senior Machine Learning Engineer Salary: Not Disclosed Company Description: VC-backed trust & safety AI platform Job Description: Join a pioneering AI platform leveraging advanced...
This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply speak to Jack
Job Title: Senior Machine Learning Engineer
Salary: Not Disclosed
Company Description: VC-backed trust & safety AI platform
Job Description: Join a pioneering AI platform leveraging advanced Machine Learning NLP and LLMs to build robust solutions for trust risk assessment and digital compliance. This role involves developing and deploying cutting-edge AI systems that ensure secure and frictionless experiences making a significant impact in critical enterprise domains.
Location: Mumbai India
Why this role is remarkable:
- Work at the forefront of privacy AI developing and deploying advanced LLM and RAG-based solutions for critical enterprise challenges.
- Join a well-funded fast-growing AI platform backed by top-tier VCs poised for significant market expansion.
- Drive the creation of innovative AI systems that establish trust and streamline complex compliance and risk workflows.
What you will do:
- Develop and fine-tune LLMs for sophisticated contract analysis regulatory classification and risk assessment.
- Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid databases to power compliance workflows.
- Build scalable AI APIs and microservices for deploying models in high-availability production environments.
The ideal candidate:
- 5-8 years of experience in Machine Learning NLP and LLM-based solution development.
- Strong expertise in fine-tuning and deploying LLMs (e.g. GPT-4 Llama Mistral) and RAG architectures.
- Proficiency in Python and frameworks like PyTorch TensorFlow Hugging Face or LangChain.
How to Apply: To apply for this job speak to Jack our AI recruiter.
Step 1. Visit our website
Step 2. Click Speak with Jack. Step 3.
Log in with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
Step 5. If the hiring manager would like to meet you Jack will make the introduction.
Required Experience:
Senior IC
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