Applied ML Engineer (Computer Vision)
Primary stack
Nice to have's
Job description
About the Position
Applied ML Engineer (Computer Vision)
Location: Gurgaon, India
About the Company
CONXAI has built an agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.
Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.
CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.
Your Role
You bridge the gap between SOTA research and real-world deployments. You are responsible for ensuring Computer Vision models perform reliably when exposed to complex, unstructured customer data.
Core Responsibilities
- Own the Feedback Loop: Monitor production data to identify exactly where and why models struggle in specific customer environments.
- Diagnose & Propose: Analyze discrepancies between model output and reality to propose concrete algorithmic or data-driven fixes.
- Continuous Validation: Own the "last-mile delivery" by ensuring proper use-case setup and validating the accuracy of final results for the customer.
- Drive Data-Centric Improvements: Lead the data "flywheel" by curating specialized datasets and integrating high-value customer data for model retraining.
- Operationalize SOTA: Adapt high-level architectures into performant, cost-effective solutions tailored for specific customer use-cases.
- Validate for Impact: Design evaluation frameworks that measure true customer value rather than relying solely on standard benchmarks.
Requirements
- Education: Bachelor's / Master's degree in Computer Science (or related) or Civil Engineering with specialization in Data Science / Lean Construction.
- Core Skills:
- Experience with training, and evaluating Deep Learning models in PyTorch.
- Good understanding of basics in machine learning and computer vision, specifically representation learning.
- Experience training and fine-tuning a Deep Learning architecture for:
- Object Detection
- Segmentation
- Large Vision Language Models
- Proficient in Python and good software engineering skills.
- Secondary Skills:
- Experience with data curation, visualization, outlier detection, active learning and hard-negative mining.
- Ability to work in a team-oriented environment.
- Strong problem-solving skills.
- Good communication and interpersonal skills (fluent in English).
What We Offer
- Edge of Innovation: Be at the absolute forefront of AI in the construction tech space.
- High Autonomy: Contribute to a new paradigm for multi-modal scene understanding and reasoning - owning the logic, performance, and customer impact.
- Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners.
- Equity & Scale: Competitive compensation with significant equity upside.
Employment Details
- Type: Full-time
- Experience Level: Middle
- Work Location Type: On-site
- Education Level: Bachelor's / Master's
Join CONXAI as an Applied ML Engineer specializing in Computer Vision to innovate in the AEC industry.
© CONXAI. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.