Biz-Tech Analytics
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Delhi · On-site · 2-5 Yrs · Sep 27
1 to 50 Employees · New Delhi, India
Hiring: Engineering
What employees say
+ company has Remote work flexibility
− * Significant delays in payouts. Payments have been pending for approximately two months beyond the expected timeline. * Lack of proactive communication regarding payment delays. *
More reviews on the company profile.
Interview experience · Software Engineer - AI Trainer
Go through the handbook given to you in the email as questions are asked based on the handbook only. There is only interview round and if selected you will be asked to join a bootcamp
Very_easy difficulty · New Delhi · 4 reports
More interview insightsJob description
Overview
About Biz-Tech Analytics
Responsibilities
- Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control.
- Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources.
- Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments.
- Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving.
- Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows.
- Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects.
Qualifications
- At least 2+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime.
- Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc.
- Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies.
- Previous experience in leading ML teams, mentoring engineers, and managing project deliverables.
- Comfortable working in an agile, startup-like environment where problem-solving and ownership are key.
- Excellent communication skills to translate complex technical concepts into actionable project plans.
- Exposure to Generative AI workflows.
- Understanding of AI governance, data compliance, and security protocols.
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Job application FAQ
Last updated 5 October 2026
- How do I apply for Machine Learning Engineer Computer Vision at Biz-Tech Analytics?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Biz-Tech Analytics may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Engineer Computer Vision role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineer Computer Vision remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineer Computer Vision role at Biz-Tech Analytics?
- This is a mid-level Machine Learning Engineer Computer Vision role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.