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Tech Holding

Data Infrastructure Engineer (ML Workflows & Analytics) - Contract

Posted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
As a Data Infrastructure Engineer, you'll manage ML workflows, create dashboards, automate data visualization, and collaborate with ML engineers.
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About us:

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role:

We’re seeking a Data Analyst / Software Engineer to join our engineering team on a 3-month contract. This hands-on role will focus on managing and visualizing data across multiple machine learning pipelines. You’ll collaborate with developers and ML engineers to create internal dashboards, automate workflows, and provide intuitive visual insights into large-scale video datasets. This role is ideal for someone independent and fast-moving, comfortable in a startup environment, and with strong Python and visualization skills.

Key Responsibilities:

  • Build internal dashboards to monitor ML metrics, contributor performance, and data quality
  • Develop lightweight visualization tools and custom reporting APIs
  • Write clean, maintainable Python code to support pipeline analytics and automation
  • Design HITL (human-in-the-loop) annotation feedback workflows
  • Collaborate on prompt engineering and LLM-assisted tooling

Required Skills:

  • 3+ years of experience coding in Python
  • Experience building data visualizations (custom dashboards, APIs, or with frameworks/tools)
  • Solid understanding of ML pipeline structure and tracking metrics
  • Familiarity with LLMs and prompt engineering concepts
  • Self-starter with the ability to work autonomously in a remote and agile setting

Nice to Have:

  • Experience with Airflow, Google Cloud Platform (GCP), or video-based datasets
  • Experience integrating LLMs into dev workflows or internal tools
  • Exposure to building developer platforms, analytics layers, or feedback tools

Position Details:

  • Type: Full-time, contract (3 months)
  • Location: Remote 
  • Compensation: Competitive hourly rate, based on experience
  • Extension: Potential for renewal or transition to long-term engagement based on performance

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR 

Top Skills

Airflow
Google Cloud Platform
Llms
Python
Visualization Tools

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