As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and maintaining large-scale machine learning pipelines. Your primary goal will be to develop innovative solutions that drive business value. - Key Responsibilities: - Design, implement, and maintain robust machine learning models that deliver high accuracy and performance. - Collaborate with cross-functional teams to integrate machine learning into business processes. - Develop and optimize data pipelines to ensure efficient data processing and analysis. - Implement and manage cloud-based infrastructure to support scalable machine learning operations. - Partner with data scientists to develop and deploy predictive models that drive business insights. - Analyze and resolve complex technical issues related to machine learning and data engineering. Requirements - A minimum of 5 years of experience in programming languages, preferably Python, along with strong SQL knowledge. - Demonstrable history of leading and mentoring a team of engineers. - Documented MLOps experience (Sagemaker, Vertex, or Azure ML). - Intermediate proficiency in Data Science, Data Engineering, and DevOps Engineering. - A track record of at least one project delivered to production in an MLE role. - Expertise in Engineering Best Practices. - Familiarity with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.). - Proficiency with automated data pipeline and workflow management tools, such as Airflow, Argo Workflow, etc. - Experience with various data processing paradigms (batch, micro-batch, streaming). - Practical experience working with one of the major Cloud Providers such as AWS, GCP, and Azure. - Familiarity with performance testing tools like JMeter or LoadRunner. - Understanding of containerization technologies like Docker. Preferred Qualifications - Practical experience with Databricks MLOps-related tools/technologies like MLFlow, Kubeflow, TensorFlow Extended (TFX). Benefits - Learning Culture - Unlimited access to learning platforms, internal courses, and knowledge growth opportunities. - Health Coverage - Comprehensive health plan for you and your family. - Visual Benefit - Up to $200,000 COP for visual health expenses. - Life Insurance Plan - Full-coverage life insurance plan for your family. - Medical Leave Coverage - 100% medical leave coverage for up to 90 days. - Professional Growth Opportunities - Highly competitive development process with all necessary tools. - Stock Option Purchase Plan - Opportunity to purchase stock at a reduced price. - Additional Income - Chance to earn extra income through referrals, interviews, and more. We Are Looking For We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. If you have a passion for innovation and driving business value through machine learning, we encourage you to apply.