AI/ML Engineer - Python/Tensorflow

Job Description : We are seeking a highly skilled AI/ML Engineer with deep expertise in developing machine learning solutions, leveraging graph databases such as Neo4j, and building scalable production systems. The ideal candidate will have a passion for applying artificial intelligence, machine learning, and data science techniques to real-world problems, and experience in working with complex rules, logic, and reasoning systems. Key Responsibilities : - Design, develop, and deploy machine learning models and algorithms for production environments, ensuring scalability and robustness. - Leverage graph databases, particularly Neo4j, to model, query, and analyze data relationships in large-scale, connected data systems. - Build and optimize ML pipelines, ensuring they are production-ready and can handle high volumes of data in real-time. - Develop rule-based systems and work with complex logical inference engines to handle business logic, constraints, and decision-making processes. - Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into existing products and platforms. - Implement algorithms for entity resolution, recommendation engines, fraud detection, or other graph-related tasks, using graph-based ML techniques. - Work with large datasets, performing exploratory data analysis, feature engineering, and model evaluation. - Monitor, test, and iterate on ML models post-deployment to ensure continuous improvement in model performance and adaptability. - Participate in architectural decisions, ensuring the efficient use of graph databases and ML models. - Keep up-to-date with the latest advancements in AI/ML research, particularly in graph-based machine learning, reasoning systems, and logical AI. Required Qualifications : - Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - 1 years of experience in AI/ML engineering or a related field, with hands-on experience in building and deploying ML models in production environments and self made projects using graph database. - Proficiency in Neo4j or other graph databases, with a deep understanding of Cypher query language and graph theory concepts. - Strong programming skills in Python, Java, or Scala, along with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with machine learning pipelines and tools like Airflow, Kubeflow, or MLflow for model tracking and deployment. - Hands-on experience with rule engines or logic programming systems (e.g., Drools, Prolog). - Experience with cloud platforms such as AWS, GCP, or Azure for ML deployments. - Familiarity with containerization and orchestration technologies like Docker and Kubernetes. - Experience working with large datasets, SQL/NoSQL databases, and handling data preprocessing at scale. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/23/2024