Machine Learning Engineer

1 day ago

Delhi, India krtrimaIQ Cognitive Solutions Full time

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 YearsEmployment Type: Full-timeRoles 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.

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