General Summary

Equabli are seeking an experienced AI/ML Developer with 4+ years of hands-on experience in designing and implementing machine learning algorithms, working with Generative APIs, and developing structured data systems. The ideal candidate will have expertise in Python, Java, or Node.js, with a strong understanding of database systems (particularly Postgres), cloud services (AWS), and the ability to write efficient queries and optimize database operations.

Key Responsibilities

• Design, develop, and implement machine learning algorithms for various AI-driven applications, with a strong focus on Generative APIs.
• Work on data preprocessing, feature engineering, and model training for both structured and unstructured datasets.
• Collaborate with cross-functional teams to build scalable AI and ML-driven applications that integrate seamlessly with backend systems.
• Develop and maintain APIs to support ML models, including deployment and real-time inference.
• Work with cloud services, particularly AWS/GCP, to deploy, scale, and monitor machine learning models.
• Utilize databases (Postgres) for storing and querying large datasets effectively.
• Write efficient SQL queries to interact with relational databases and optimize performance.
• Ensure high-quality and well-documented code in Python, Java, or Node.js.
• Stay updated with the latest trends in AI/ML and cloud technologies, bringing fresh ideas and solutions to the table.
• Troubleshoot and resolve issues related to database performance, API integration, and machine learning model optimization.
  
  

Must Have

• Machine Learning: Development knowledge of machine learning algorithms, model training, testing, and deployment processes.
• Problem-Solving: Strong analytical and troubleshooting skills, particularly in debugging complex AI/ML systems.
• Generative APIs: Experience in developing and integrating generative APIs into applications (e.g., GPT, DALL·E).
• Deep Learning Framework: Experience with at least one deep learning framework (TensorFlow, PyTorch) is required.
• AI Search: Must have experiences in Vector DB , using RAG to fetch external data.
• Cloud AI Tools: Experience with tools like AWS SageMaker, AWS Bedrock, Google Vertex AI, etc., for building and deploying AI/ML solutions.
• Database Systems: Strong experience working with relational databases like Postgres; ability to write complex queries and optimize database performance.
• Programming Languages: Strong proficiency in One of Python, Java, or Node.js for building AI/ML applications.
  
  

Good-to-Have Skills

• Proficiency with AWS services such as EC2, S3, Lambda, SageMaker, and RDS.
• Experience with version control systems like Git for collaborative development.
• Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
• Knowledge of RESTful API design and development.
• Understanding of Agile methodologies and the ability to work in fast-paced, iterative development environments.
  
  

Experience : 4+ years of experience

Education : Bachelor’s degree on computer science, information systems, information technology or related disciplines