Machine Learning Engineer

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.