AI/ML Engineer

Job Summary: We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in data science, software engineering, and cloud platforms, with a passion for solving complex business problems through innovative AI/ML approaches. Key Responsibilities: • Design, build, and optimize machine learning models, deep learning architectures, and AI algorithms for real-world applications. • Collaborate with data scientists, data engineers, and product teams to define business requirements and translate them into technical solutions. • Preprocess, clean, and analyze large structured and unstructured datasets for modeling. • Deploy, monitor, and maintain ML models in production using MLOps best practices. • Research and evaluate emerging AI/ML frameworks, tools, and techniques to enhance system capabilities. • Optimize models for accuracy, scalability, latency, and cost-efficiency. • Document design choices, experiments, and workflows to ensure reproducibility and transparency. • Ensure compliance with data privacy, security, and ethical AI principles. Required Qualifications: • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field. • Proven experience with machine learning, deep learning, and statistical modeling. • Strong programming skills in Python, R, or Java, with experience in ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). • Experience working with data pipelines, feature engineering, and big data technologies (Spark, Hadoop, etc.). • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). • Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, etc.). • Solid understanding of software engineering principles, version control (Git), and CI/CD practices. • Strong problem-solving, analytical, and communication skills.