AI/ML Engineer

3 months ago

Bengaluru, India Gloify Full time

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)

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