AI/ML Engineer

As an AI/ML Engineer at our company, you will be responsible for developing, training, and deploying AI/ML models for various business use cases. Your role will involve performing data preprocessing, exploratory data analysis, and feature engineering. Additionally, you will work on signal processing techniques to extract meaningful insights from structured/unstructured data. Collaboration with software, data, and networking teams to integrate AI solutions into production systems is a key aspect of this role. You will also be optimizing models for performance, accuracy, and scalability, implementing and maintaining ML pipelines and workflows, as well as researching and experimenting with new AI/ML algorithms and techniques. Presenting technical documentation and findings to stakeholders will also be part of your responsibilities. Key Responsibilities: - Develop, train, and deploy AI/ML models for various business use cases. - Perform data preprocessing, exploratory data analysis, and feature engineering. - Work on signal processing techniques to extract meaningful insights from structured/unstructured data. - Collaborate with software, data, and networking teams to integrate AI solutions into production systems. - Optimize models for performance, accuracy, and scalability. - Implement and maintain ML pipelines and workflows. - Research and experiment with new AI/ML algorithms and techniques. - Prepare technical documentation and present findings to stakeholders. Required Skills: - Strong understanding of AI/ML algorithms, supervised & unsupervised learning. - Expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas. - Solid experience with signal processing techniques (FFT, filtering, noise reduction, feature extraction, etc.). - Good knowledge of networking fundamentals and data flow architectures. - Experience with data analysis, visualization tools, and statistical methods. - Familiarity with ML model deployment, CI/CD, and cloud platforms (AWS/Azure/GCP) is a plus. - Ability to work in a fast-paced environment with strong problem-solving skills. Qualifications: - Bachelors or Masters degree in Computer Science, Electronics, Data Science, AI/ML, or related field. - Minimum 3+ years of relevant experience in AI/ML development. Nice to Have: - Experience with real-time data processing or IoT systems. - Knowledge of deep learning architectures for time-series or signal data. - Understanding of MLOps tools and pipelines.,