Applications Developer – Data Analyst, Data Science, Python, GCP, ML
At a glance
Mid-level Data Analysis & BI role at Hcmportal. IN - TDC 1 (IN110) · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Label objects for computer vision work supporting the data science and machine learning team
- Assess retrieval results in projects involving language models and natural language processing
- Prepare, transform and validate data, and help tune model settings to improve performance
- Coordinate with technical and non-technical colleagues to maintain data quality and project progress
What you bring
- At least five years of experience, with the role seeking candidates in the five-to-seven-year range
- A bachelor’s degree or an equivalent qualification from another country
- Hands-on skills in Python, Pandas, SQL, Flask, web services and Google Cloud Platform
- Working knowledge of data engineering, machine learning, deep learning, computer vision and large language models
Who this fits
This mid-level role suits a hands-on data analyst comfortable contributing across data preparation and machine learning workflows. You’ll need strong analytical skills, attention to detail and the ability to share findings with both technical and non-technical colleagues. The position is permanent.
From the employer
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Job Description:
Job Title: Data Analyst – DSML Team
Overview
We are looking for a Data Analyst to support the DSML team in advancing projects across computer vision, NLP, and LLM applications. The ideal candidate will be hands-on with data, detail-oriented, and comfortable working across data engineering and machine learning workflows.
Key Responsibilities
- Support the DSML team by labeling objects in computer vision projects.
- Review and evaluate retrieval quality for LLM and NLP projects.
- Assist in data engineering tasks, including data preparation, transformation, and validation.
- Help tune model parameters and contribute to improving model performance.
- Collaborate with cross-functional teams to ensure data quality and project success.
Required Skills & Experience
- Programming: Python, Pandas, SQL, Flask, Web Services.
- Skills: Data Engineering, Machine Learning, Deep Learning, Computer Vision.
- Tools: Google Cloud Platform (GCP), hands-on experience with Large Language Models (LLMs).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to communicate findings and collaborate effectively with technical and non-technical stakeholders.
Qualifications
• Min 5 to 7 years of experience
• Bachelor’s Degree or International equivalent
Employee Type:
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