Job: AI/ML Engineer — 100% Remote Job — Long Term Contract

Job Title: AI/ML Engineer
Location: 100% Remote Job
Duration: Long Term Contract

Requirements:

• We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team.
• The ideal candidate will possess a strong background in software engineering, a deep understanding of Python programming, and expertise in at least one of the following domains: MLOps, big data processing, graph databases, microservices, or machine learning (ML) development technologies.
• As a Senior Software Engineer, you will play a pivotal role in designing, developing, and deploying scalable, high-performance solutions that empower our data-driven applications and systems.

Key Responsibilities:

• Design, develop, and maintain robust software solutions using Python and other relevant technologies.
• Collaborate with cross-functional teams to build and integrate scalable microservices.
• Develop and optimize workflows for machine learning models, leveraging MLOps best practices when applicable.
• Design and implement solutions for big data pipelines, ensuring efficiency and scalability.
• Work with graph databases to model, query, and analyze complex relationships and data structures.
• Lead the development and deployment of ML models and support frameworks for data science teams.
• Ensure the reliability, security, and performance of the systems through rigorous testing and best practices.
• Provide technical leadership and mentorship to junior engineers.
• Stay updated with industry trends and emerging technologies, recommending their adoption where appropriate.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 5+ years of professional software development experience, with a focus on Python programming.
• Demonstrated experience in at least one of the following domains:
• MLOps: Experience with tools like TensorFlow Extended (TFX), MLflow, or Kubeflow.
• Big Data: Proficiency in processing and managing large-scale data with tools such as Apache Spark, Hadoop, or similar frameworks.
• Graph Databases: Hands-on experience with graph databases like Neo4j, ArangoDB, or AWS Neptune.
• Microservices: Expertise in building scalable and secure microservices using REST, gRPC, or GraphQL.
• Machine Learning Development: Knowledge of frameworks like TensorFlow, PyTorch, or Scikit-learn, and experience deploying ML models into production.

Preferred Skills:

• Familiarity with cloud platforms (AWS, GCP, Azure) and their data services.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Proficiency in CI/CD pipelines and version control systems (Git).
• Strong problem-solving skills and the ability to design innovative solutions for complex challenges.