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hirist

AI Data Specialist

Connect2Talent
4 - 8 Years
rupee15-25 LPA
Multiple Locations

Posted on: 21/04/2026

Job Description

Description :


Job Title : AI Data Specialist


Locations : Chennai / Bangalore


Experience : 4-8 Years


Employment Type : Full-time


Notice Period : Up to 30 Days


Job Summary :


We are seeking an experienced AI Data Specialist to manage, curate, and optimize high-quality datasets for AI/ML model development. The ideal candidate will work closely with data science and engineering teams to ensure data readiness, accuracy, and usability for machine learning and generative AI applications.


Key Responsibilities :


- Collect, clean, preprocess, and structure large-scale datasets for AI/ML use cases


- Design and implement data pipelines for structured and unstructured data


- Perform data labeling, annotation strategy design, and quality validation


- Collaborate with Data Scientists and ML Engineers to support model training and evaluation


- Ensure data consistency, integrity, and compliance with governance standards


- Work on feature engineering and dataset optimization for AI models


- Analyze data quality issues and implement corrective measures


- Support deployment readiness of datasets for production AI systems


- Maintain documentation of datasets, workflows, and data standards


Required Skills & Experience :


- 4-8 years of experience in data engineering, analytics, or AI/ML data roles


- Strong understanding of data preprocessing, ETL pipelines, and data wrangling


- Hands-on experience with Python and SQL


- Experience working with large datasets (structured & unstructured)


- Familiarity with ML data preparation workflows


- Knowledge of data labeling tools and annotation frameworks


- Understanding of basic machine learning concepts and model lifecycle


- Experience with cloud platforms (AWS / Azure / GCP) is a plus


Good to Have :


- Experience with Generative AI datasets (LLMs, prompt datasets, embeddings)


- Exposure to data governance, privacy, and compliance practices


- Experience with tools like Spark, Databricks, or similar big data platforms


- Familiarity with vector databases or semantic search systems


Soft Skills :


- Strong analytical and problem-solving abilities


- Attention to detail and data accuracy


- Good communication and collaboration skills


- Ability to work in fast-paced AI-driven environments


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