LLM as mandatory experience in use case implementation

Researching and implementing appropriate deep learning algorithms and tools

Understanding and transforming complex data science prototypes and designs

Developing machine learning applications according to requirements

Selecting and transforming features building and optimizing classifiers

Training and retraining systems as necessary

Extending existing machine learning libraries and frameworks

Performing statistical analysis and tuning of system parameters

Working closely with project managers and data scientists to improve performance and operational efficiency

Creating and maintaining machine learning and deep learning models with a focus on scalability reliability and accuracy

RH ID

644377

Job Code

1335392

Bill Rate to be paid to Contractors

2,40,000 per month

Duration of Contract

Min 6 Months

Location

Bengaluru/Pune (3 days work from client office)

Client Interview (If Any)

Yes

No of Contractors required

2

Years of Experience

5-7years (Min 3+ years of relevant experience)

Any Project specific/pre-requisite skills

Candidates who have implemented LLM / Gen AI use cases will be preferrable. Deep Learning, LLM Engineers, RAG, prompt engineering, Langchain ,LlamaIndex ,DSPy, Model deployment / management Experience (AWS cloud), Fast API.

Detailed JD

LLM as mandatory experience in use case implementation

Researching and implementing appropriate deep learning algorithms and tools

Understanding and transforming complex data science prototypes and designs

Developing machine learning applications according to requirements

Selecting and transforming features building and optimizing classifiers

Training and retraining systems as necessary

Extending existing machine learning libraries and frameworks

Performing statistical analysis and tuning of system parameters

Working closely with project managers and data scientists to improve performance and operational efficiency

Creating and maintaining machine learning and deep learning models with a focus on scalability reliability and accuracy