Artificial Intelligence Senior Associate

Job Summary

We are seeking two Artificial Intelligence Senior Associates to join our growing team in Chennai. This role is ideal for a highly motivated individual with a strong foundation in AI/ML and a passion for building innovative solutions within the Technology industry.

Key Responsibilities

The Artificial Intelligence Senior Associate will be responsible for contributing to the full lifecycle of AI/ML models, from design and development to deployment and monitoring. This includes collaborating with cross-functional teams to define requirements, build and test models, and ensure their ongoing performance and reliability.

Required Skills & Qualifications

• AI/ML: A strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. This includes experience in model selection, training, and evaluation.
• GCP: Proficiency in utilizing Google Cloud Platform (GCP) services for machine learning, including but not limited to GCP AI Platform, Vertex AI, and related tools.
• GenAI: Experience with Generative AI models and techniques, including understanding of their capabilities and limitations.
• AI Agents: Familiarity with the principles and implementation of AI Agents, including their design, development, and integration into larger systems.
• MLOps: Solid understanding of MLOps principles and practices, including continuous integration, continuous delivery, and automated testing for machine learning models.
• Governance: Knowledge of data governance principles and best practices, ensuring responsible and ethical use of AI/ML models.
• RESTful APIs: Experience designing and implementing RESTful APIs for integrating AI/ML models into applications and services.
• Microservices: Understanding of microservices architecture and experience building and deploying AI/ML models as microservices.
• Data Pipelines: Ability to design, build, and maintain robust and scalable data pipelines for ingesting, transforming, and preparing data for AI/ML models.
• Model Monitoring: Experience in implementing and maintaining model monitoring systems to track performance, detect anomalies, and ensure model reliability.
• Performance, Drift, Reliability: A keen eye for detail and a commitment to ensuring the performance, minimizing drift, and maximizing the reliability of AI/ML models.
• Serverless: Experience with serverless computing platforms and their application to AI/ML model deployment.
• Containerized: Proficiency in containerized deployment using technologies like Docker and Kubernetes.
• Agile: Experience working in an Agile development environment, with a focus on iterative development and continuous improvement.
• Product Management: Ability to collaborate effectively with product management teams to define requirements and translate business needs into technical solutions.
• Reasoning: Strong analytical and reasoning skills to effectively analyze data and solve complex problems.
• Tool-use: Ability to quickly learn and adapt to new tools and technologies.
• APIs: Experience working with various types of APIs.

Qualifications: A Bachelor's Degree is required.

Experience Required: 3 - 5 years of relevant experience in AI/ML development and deployment.

What We Offer

Salary: