Posted:4 days ago|
Platform:
Hybrid
Full Time
Data Preparation:
Clean, pre-process, and engineer features from diverse data sources, such as website interactions, engagement metrics, and demographic information, to make them usable by ML models.
Model Development:
Build, train, and evaluate machine learning models, such as logistic regression, to predict lead conversion probability based on historical sales data.
Model Deployment & Maintenance:
Integrate ML models into existing CRM and sales platforms, ensuring they are continuously updated and performing optimally
Performance Analysis:
Monitor model performance, analyze results, and iterate on models to improve accuracy and effectiveness over time.
Prompt Engineering:
Crafting effective prompts to elicit desired responses from LLMs and leveraging techniques like Retrieval Augmented Generation (RAG).
Model Evaluation:
Developing and implementing evaluation frameworks to assess the performance of LLMs using both quantitative and qualitative metrics.
Programming Skills:
Proficiency in programming languages used for data science, such as Python, including relevant libraries like scikit-learn.
Machine Learning with Lead Scoring Techniques, Prompt Engineering, Python.
Stakeholder Management, Presenting findings to leadership team
LatentView
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
bengaluru
7.0 - 12.0 Lacs P.A.
chennai, bengaluru
0.5 - 1.0 Lacs P.A.
mumbai
25.0 - 30.0 Lacs P.A.
Experience: Not specified
1.91256 - 3.44376 Lacs P.A.
lucknow, uttar pradesh
Experience: Not specified
1.91256 - 0.0018 Lacs P.A.
nagercoil
Experience: Not specified
1.5 - 2.5 Lacs P.A.
5.0 - 9.0 Lacs P.A.
5.4 - 6.96 Lacs P.A.
Bengaluru, Karnataka
Experience: Not specified
0.9 - 1.0 Lacs P.A.
Gurugram, Haryana
5.4 - 6.96 Lacs P.A.
