AI/ML Engineer (AI Agent Builder)

Full Description

Responsibilities:

• Develop, train, and optimize machine learning models for diverse applications such as predictive analytics, recommendation systems, and anomaly detection.

• Develop, train and optimise multimodal AI Agents using orchestration tools like Langchain, Crews, ADK, n8n or similar

• Build scalable ML workflows and pipelines using Amazon SageMaker, AWS Lambda, and other cloud-based technologies.

• Integrate OpenAI APIs and other advanced AI/ML frameworks into operational systems.

• Prepare and preprocess large, complex datasets for machine learning, ensuring data quality and consistency.

• Conduct exploratory data analysis (EDA) and feature engineering to enhance model performance.

• Design and implement data transformation workflows using cloud-based and open-source tools.

• Implement MLOps practices for seamless deployment, monitoring, and maintenance of ML models in production environments.

• Optimise deployed models for performance, scalability, and reliability.

• Work closely with cross-functional teams, including engineering, product, and business units, to understand requirements and deliver data-driven solutions.

• Clearly communicate technical findings and methodologies to both technical and non-technical stakeholders.

• Stay abreast of the latest advancements in machine learning and AI, recommending and implementing new tools, frameworks, and approaches.

• Contribute to knowledge-sharing and mentoring within the team.

Requirements:

• Bachelor’s/Master’s in Computer Science, Data Science, Statistics, or related field.

• Advanced degrees or AI/ML certifications are a plus.

• Proficiency in Python, R, SQL, and machine learning frameworks

• Experience with cloud platforms like AWS SageMaker, Lambda, or similar.

• Familiarity with OpenAI APIs and advanced AI tools.

• Hands-on experience with MLOps for model deployment and monitoring.

• Knowledge of containerization tools like Docker and Kubernetes.

• Strong skills in data preprocessing, feature engineering, and creating scalable pipelines.

• Ability to handle large datasets and ensure data quality.

• Expertise in building and optimising machine learning models.

• Strong analytical and troubleshooting skills.

• 3+ years in data science or related fields with a proven track record of delivering solutions.

• Clear communication of technical concepts to diverse audiences.

• Team player with strong collaboration and mentoring abilities.

• Stay updated on advancements in AI, machine learning, and tools.