Tgs - Ai/Ml (Chandigarh)

Hiring AI/ML for a Reputed/MNC company located at Chandigarh. We are looking for a highly skilled AI/ML Engineer with 5+ years of experience in building intelligent systems, with strong expertise in Computer Vision and team handling. The candidate will lead the design, development, and deployment of AI/ML solutions while mentoring junior engineers and collaborating with cross-functional teams. Key Responsibilities: - Design, develop, and deploy end-to-end AI/ML solutions with a focus on Computer Vision applications. - Build and optimize models for image/video processing such as object detection, image classification, segmentation, and face recognition. - Develop and maintain scalable ML pipelines from data ingestion to production deployment. - Lead and mentor a team of AI/ML engineers and data scientists. - Review code, provide technical guidance, and ensure best engineering practices. - Collaborate with product managers, data engineers, and stakeholders to translate business needs into AI solutions. - Oversee model performance, monitoring, retraining, and optimization. - Drive research and adoption of current AI/ML technologies and frameworks. - Ensure data quality, model accuracy, scalability, and system reliability. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, AI, ML, Data Science, or related field. - 5+ years of hands-on experience in Machine Learning / Artificial Intelligence. - Strong expertise in Computer Vision techniques and algorithms. - Proficiency in Python and libraries such as OpenCV, NumPy, Pandas, Scikit-learn. - Experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. - Hands-on experience with CNNs, YOLO, Faster R-CNN, SSD, and similar models. - Experience in deploying ML models using Docker, Kubernetes, REST APIs. - Familiarity with cloud platforms (AWS, Azure, GCP). - Experience in leading teams, task allocation, mentoring, and performance review. - Strong communication and stakeholder management skills. Preferred Qualifications: - Experience with video analytics and real-time vision systems. - Knowledge of MLOps tools (MLflow, Kubeflow, Airflow). - Experience with edge AI or embedded vision solutions. - Prior experience in Agile/Scrum environments. - Exposure to NLP or GenAI is a plus. Hiring AI/ML for a Reputed/MNC company located at Chandigarh. We are looking for a highly skilled AI/ML Engineer with 5+ years of experience in building intelligent systems, with strong expertise in Computer Vision and team handling. The candidate will lead the design, development, and deployment of AI/ML solutions while mentoring junior engineers and collaborating with cross-functional teams. Key Responsibilities: - Design, develop, and deploy end-to-end AI/ML solutions with a focus on Computer Vision applications. - Build and optimize models for image/video processing such as object detection, image classification, segmentation, and face recognition. - Develop and maintain scalable ML pipelines from data ingestion to production deployment. - Lead and mentor a team of AI/ML engineers and data scientists. - Review code, provide technical guidance, and ensure best engineering practices. - Collaborate with product managers, data engineers, and stakeholders to translate business needs into AI solutions. - Oversee model performance, monitoring, retraining, and optimization. - Drive research and adoption of current AI/ML technologies and frameworks. - Ensure data quality, model accuracy, scalability, and system reliability. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, AI, ML, Data Science, or related field. - 5+ years of hands-on experience in Machine Learning / Artificial Intelligence. - Strong expertise in Computer Vision techniques and algorithms. - Proficiency in Python and libraries such as OpenCV, NumPy, Pandas, Scikit-learn. - Experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. - Hands-on experience with CNNs, YOLO, Faster R-CNN, SSD, and similar models. - Experience in deploying ML models using Docker, Kubernetes, REST APIs. - Familiarity with cloud platforms (AWS, Azure, GCP). - Experience in leading teams, task allocation, mentoring, and performance review. - Strong communication and stakeholder management skills. Preferred Qualifications: - Experience with video analytics and real-time vision systems. - Knowledge of MLOps tools (MLflow, Kubeflow, Airflow). - Experience with edge AI or embedded vision solutions. - Prior experience in Agile/Scrum environments. - Exposure to NLP or GenAI is a plus.