AI Developer | Onsite, Noida | Open to India-based candidates only
Quick Summary
AI Developer | Onsite, Noida | Open to India-based candidates only Position type: Full-time employee Location: Onsite - Noida, India Why this role existsWe are building AI solutions that solve real business problems, not demos or experiments that live on a slide.
Build and deliver AI solutions Design, develop, and validate machine learning and deep learning models to address domain-specific business challenges Work across a range of approaches including classical ML, NLP, computer vision, reinforcement…
Position type: Full-time employee
Location: Onsite - Noida, India
Responsibilities
~1 min readDesign, develop, and validate machine learning and deep learning models to address domain-specific business challenges
Work across a range of approaches including classical ML, NLP, computer vision, reinforcement learning, and transformer-based models
Apply Generative AI techniques, including working with large language models and retrieval-based systems, where appropriate
Collaborate with data scientists and engineers to source, clean, and preprocess large datasets
Perform feature engineering and data selection to improve model inputs and outcomes
Deploy models into production environments that support real-time or near real-time use cases
Build and maintain MLOps pipelines for deployment, monitoring, versioning, and retraining
Use Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
Integrate models into applications through APIs or model-serving frameworks
Optimize models for performance, latency, scalability, and resource efficiency
Implement testing strategies including unit testing, regression testing, and A/B testing
Monitor model performance and improve solutions based on data, feedback, and usage patterns
Work closely with cross-functional teams including engineering, product, and subject matter experts
Document model architectures, training processes, and experimental results
Communicate technical concepts clearly to both technical and non-technical stakeholders
Contribute to ethical AI practices with attention to fairness, transparency, and accountability
Help identify and mitigate risks such as bias, hallucinations, or incorrect outputs
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 6, 2026
Signal breakdown
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