Project Analyst

Jobgether

India

Remote

INR 600,000 - 900,000

Full time

18 hours ago
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Benefits offered by this job

Remote work
Full-time employment
Cross-functional collaboration
Professional development
Process improvement

Job summary

Jobgether, on behalf of a partner company, is seeking a Project Analyst based in India. The role involves supporting AI model training, preparing datasets, monitoring workflows, and evaluating model performance within a remote, cross-functional team.

The ideal candidate brings a technical background in data analysis and strong project coordination skills to ensure on-track delivery of AI initiatives and process improvements.

Qualifications

  • Bachelor's or master's degree in a technical field (CS/IT/Engineering/Data Science).
  • At least 2 years of experience in data analysis or analytics project management.
  • Understanding of AI model evaluation techniques and data pipeline orchestration.
  • Strong analytical and problem-solving skills with attention to detail.

Responsibilities

  • Coordinate data analysis and AI model training activities to ensure efficient workflows.
  • Collect, clean, process, and analyze large datasets to support AI model training and validation.
  • Initiate, configure, and monitor AI model training pipelines for smooth execution.
  • Collaborate with data scientists, ML engineers, and stakeholders to define training objectives.
  • Coordinate project timelines, resources, milestones, and deliverables for AI workflows.
  • Evaluate model performance metrics and prepare reports with improvement strategies.
  • Maintain accurate data documentation, training logs, and compliance records.
  • Identify opportunities to automate data preprocessing and model training processes.

Skills

Data analysis
Analytics project management
AI model training

Education

Bachelor's or Master's in CS/Data Science/IT/Engineering

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Project Analyst based in India.

Join a dynamic, remote team working at the intersection of data analytics, artificial intelligence, and project management.

In this role, you will support AI model training initiatives by preparing datasets, monitoring workflows, and evaluating model performance.

You will collaborate with data scientists, machine learning engineers, and project teams to define objectives and deliver high‑quality results.

Combining technical expertise with strong organizational skills, you will help ensure projects stay on track and meet their goals.

You will also identify opportunities to automate processes, improve efficiency, and optimize model training workflows.

This position offers the opportunity to contribute directly to AI development while strengthening your analytical and project coordination capabilities.

Accountabilities

As a Project Analyst, you will coordinate data analysis and AI model training activities, ensuring that workflows are efficient, well‑documented, and aligned with project objectives.

  • Collect, clean, process, and analyze large datasets to support AI model training and validation.
  • Initiate, configure, and monitor AI model training pipelines to ensure smooth execution.
  • Collaborate with data scientists, machine learning engineers, and project stakeholders to define and refine training objectives.
  • Coordinate project timelines, resources, milestones, and deliverables for AI model training workflows.
  • Evaluate model performance metrics, prepare comprehensive reports, and recommend strategies for improvement.
  • Maintain accurate data documentation, training logs, and compliance records.
  • Identify opportunities to automate data preprocessing and model training processes to improve efficiency and reliability.
  • Monitor project progress, identify potential issues, and support the timely delivery of high‑quality outputs.
Requirements

The ideal candidate combines a strong technical foundation in data analysis with project coordination capabilities and an interest in AI‑driven initiatives. Candidates should meet the following requirements:

  • Bachelor's or master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related technical discipline.
  • At least 2 years of experience in data analysis, analytics, or analytics project management.
  • Understanding of AI model evaluation techniques and data pipeline orchestration.
  • Strong analytical and problem‑solving skills, with the ability to interpret data and derive actionable insights.
  • Good organizational skills and the ability to manage multiple tasks, timelines, and deliverables.
  • Excellent communication skills and the ability to collaborate effectively with cross‑functional teams.
  • Attention to detail and a commitment to maintaining accurate documentation and high‑quality outputs.
Benefits
  • Remote work: Work remotely in a flexible, location‑independent environment.
  • Full‑time employment: Take on a full‑time role supporting AI model training and data analytics initiatives.
  • Cross‑functional collaboration: Work alongside data scientists, machine learning engineers, and project teams.
  • Professional development: Build experience in AI model training, data pipeline management, performance evaluation, and project coordination.
  • Process improvement: Contribute ideas and automation initiatives that enhance efficiency and the quality of AI workflows.
Why Apply Through Jobgether?

We appreciate your interest and wish you the best!

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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