Machine Learning Engineer

17 hours ago


New 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 EngineerLocation: 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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