IQ Infinite’s AI/ML Engineers help you leverage data to make intelligent decisions, automate processes, and personalize user experiences. From machine learning models to deep learning and NLP solutions, we turn complex data into smart, scalable applications for your business.
2-5 years
Full-time, Part-time, Contract
Develop robust and scalable AI/ML solutions efficiently.
Build and deploy deep learning models efficiently.
Create flexible neural networks for research and production.
Apply ML algorithms for accurate predictive modeling.
Handle and preprocess structured data effectively.
Perform fast numerical computations for ML workflows.
Visualize data and model results with clear charts.
Generate statistical plots to uncover patterns and insights.
Design efficient data pipelines and scalable architectures for optimal model performance.
Build, train, and fine-tune ML/DL models with a focus on accuracy, efficiency, and real-world applicability.
Develop intelligent solutions for language understanding, sentiment analysis, and image/video recognition using advanced techniques.
Deploy models seamlessly with automated pipelines, monitoring, and scalable infrastructure for production environments.
Integrate AI-powered features and APIs into applications to enhance user experience and business value.
Accelerate product development and experimentation with cutting-edge AI/ML solutions that drive rapid innovation.
Utilize advanced analytics and predictive modeling to make smarter, evidence-based business strategies.
Gain an edge in the market with intelligent features and insights that differentiate your product.
Build ML/DL models and AI systems that scale seamlessly with growing data and evolving business needs.
Automate workflows, reduce manual effort, and optimize operational costs with AI-powered solutions.
Skilled developers with an agile mindset for swift and efficient delivery.
Intelligent workflows that accelerate your success with unmatched speed and efficiency.
Optimized, cost-efficient solutions designed to maximize value within your budget.
Daily insights to track progress, guide decisions, and drive success.
Our AI/ML Engineers have extensive experience deploying machine learning models in production environments. They are proficient in containerization (Docker, Kubernetes), model serving frameworks (TensorFlow Serving, TorchServe), and cloud platforms (AWS SageMaker, Google AI Platform, Azure ML) to ensure scalable and reliable deployments.
We follow rigorous testing and validation processes, including cross-validation, A/B testing, and monitoring of key performance metrics. Our team implements MLOps best practices to continuously monitor model performance in production and retrain models as needed to maintain accuracy.
Absolutely. Our team is skilled in both traditional machine learning algorithms and advanced deep learning techniques. We can recommend and implement the most suitable approach based on your specific use case, data characteristics, and business requirements.
We've delivered AI/ML solutions across various industries including healthcare, finance, e-commerce, manufacturing, and more. Our team has experience customizing solutions to meet specific industry requirements and compliance standards.
We implement industry-standard security measures including data encryption, access controls, and compliance with regulations like GDPR and HIPAA. We can also implement techniques like federated learning or differential privacy when working with sensitive data.
We prioritize model transparency using techniques like SHAP, LIME, and feature importance analysis. We ensure that our models are not just accurate but also interpretable, which is crucial for building trust and meeting regulatory requirements.