AI/ML Software Engineer
AI/ML Software Engineer
topgrep tech private limited- Posted 2 months ago
- Over 100 applicants have applied
Job Description
About The Role
We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.
Key Responsibilities
We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.
Key Responsibilities
- Design, develop, and deploy machine learning models into production environments
- Build and maintain scalable ML pipelines for data processing, training, and inference
- Collaborate with cross-functional teams to identify AI-driven product opportunities
- Translate business requirements into ML solutions and technical implementations
- Optimize model performance, accuracy, and latency for real-time applications
- Integrate AI/ML models with APIs and backend systems
- Monitor model performance and implement continuous improvement strategies
- Ensure best practices in data handling, model versioning, and reproducibility
- Stay updated with the latest advancements in AI/ML and apply them to product innovation
- Bachelor's engineering degree in Computer Science, AI, Data Science, or related field
- Strong programming skills in Python (experience with Java/Go is a plus)
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Solid understanding of machine learning algorithms and statistical concepts
- Experience in building and deploying ML models in production
- Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
- Experience with data processing tools (Pandas, NumPy, Spark, etc.)
- Knowledge of version control systems like Git
More Info
Key Skills
Scikit-learn
microservices architecture


