🚀 Machine Learning Engineer | KrtrimaIQ Cognitive Solutions | Bangalore (Hybrid)
About Us :
KrtrimaIQ Cognitive Solutions is a leading AI / ML company empowering enterprises to become intelligent, data-driven organizations. We specialize in building scalable AI solutions in Machine Learning, Computer Vision, NLP, Speech Recognition, and Automation.
Position : Machine Learning Engineer
Location : Bangalore (Hybrid )
Experience : 3–5 Years
Employment Type : Full-time
Roles and Responsibilities :
- Design, develop, and deploy machine learning models and AI solutions for real-world business problems.
- Work with structured and unstructured data (text, images, video, audio) to build predictive and generative models.
- Optimize ML pipelines for performance, scalability, and automation.
- Collaborate with Data Engineers, Data Scientists, and Software Developers for seamless ML model integration.
- Develop APIs and microservices to serve ML models in production.
- Conduct A / B testing, model validation, and continuous model improvement.
- Stay updated with the latest advancements in ML, LLMs, and Generative AI technologies.
Required Skills & Qualifications :
Strong proficiency in Python , NumPy , Pandas , Scikit-learn , TensorFlow or PyTorch .Hands-on experience in ML model development, evaluation, and deployment .Experience with MLOps frameworks (MLflow, Kubeflow, or Vertex AI) is a plus.Understanding of data preprocessing, feature engineering, and model optimization .Experience with cloud platforms (AWS / Azure / GCP) .Knowledge of Docker, FastAPI / Flask , and CI / CD pipelines for ML deployment.Familiarity with NLP, Computer Vision , or Generative AI is an added advantage.Preferred Qualifications :
Bachelor’s / Master’s degree in Computer Science, AI / ML, Data Science, or related field.Experience working with large datasets and distributed computing .Strong problem-solving, analytical, and communication skills.Why Join Us :
Work on cutting-edge AI / ML and Generative AI projects .Collaborative, innovative, and learning-focused environment.Opportunity to work with top talent in AI and Data Engineering.Competitive compensation and flexible work setup.