Apply in 3 Minutes! Machine Learning Engineer

What would you be doing/ Expected from this role?

• Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.

• Drive the architecture of machine learning pipelines from data collection and pre-processing to model training, evaluation, and deployment.

• Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).

• Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.

• Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.

• Work on improving model interpretability, fairness, and bias mitigation in

alignment with ethical AI practices.

• Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.

• Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.

Preferred Skills:

• Experience in LLM technologies, computer vision and ML

algorithms.

• Knowledge of data governance and ethical AI principles.

• Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).

Who are we looking for?

• Bachelor’s degree in computer science or equivalent practical experience.

• Must be able to work independently and enjoy working at a fast-paced start-up environment who is adept at experimenting with new technologies.

• Must have excellent communication (verbal & written), interpersonal, leadership, and problem-solving

skills.