Machine Learning Engineer

3 days ago

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Xmartlabs

WebsiteLinkedInAll Job Openings

Startup Development • UX/UI Design • Computer Vision • Machine Learning • dApps Design & Development

51 - 200 employees

Founded 2013

🤝 B2B

☁️ SaaS

🏢 Enterprise

Description

• Stay up-to-date with the latest advancements in machine learning by exploring and drawing insights from state-of-the-art research papers. • Leverage this knowledge to design and develop innovative machine learning models tailored to our specific needs. • Translate conceptual models into practical implementations, utilizing programming languages and machine learning frameworks. • Train and fine-tune models to achieve optimal performance and accuracy. • Drive the deployment process of machine learning models into production environments. • Collaborate with cross-functional teams to ensure smooth integration and scalability of the models. • Apply the best MLOps (Machine Learning Operations) practices and principles throughout the entire modeling workflow. • Streamline processes for efficient development, testing, and deployment of machine learning solutions. • Dive deep into problem domains to gain a comprehensive understanding of challenges and opportunities. • Analyze and preprocess data to extract valuable insights for model improvement. • Propose and experiment with novel ideas and approaches to tackle complex problems. • Explore creative ways to leverage data and develop new concepts that could potentially revolutionize the field. • Collaborate with a team of skilled professionals, including data scientists, engineers, and domain experts. • Foster a collaborative environment that encourages knowledge sharing and continuous learning.

Requirements

• Bachelor degree in Computer Science, Software or Electrical Engineering, or comparable professional experience in Machine Learning related areas. • Excellent written and verbal communication skills in English. • Experience working with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, and TFX. • Experience in technologies like Spark, Kafka, Spark streaming, Flink etc. • Expertise in MLOps and model integration into larger-scale applications. • Experience with implementing and scaling feature store across organization. • Strong programming skills in Python and experience with popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch). • Expertise in using Docker and Kubernetes. • Strong problem-solving skills and ability to analyze and translate business requirements into technical solutions. • Ability to read, interpret, and apply research papers in machine learning. • A strong grasp of foundational machine learning concepts is essential. • Knowledge of agile methodologies. • Ability to work in a fast-paced and evolving environment. • Willingness to learn and adapt to new technologies and methodologies.