Senior Machine Learning Engineer

buscojobs Brasil; Rio Grande do Sul; Presencial; BRL 80.000 - 150.000; Tempo integral

Resumo da oferta

An innovative company is seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge machine learning solutions. This role involves collaborating with product and engineering teams to create impactful data-driven products. You will leverage your extensive experience in machine learning methodologies and frameworks to solve complex business challenges while mentoring junior staff and contributing to the company's intellectual property. If you are passionate about applying ML techniques in real-world scenarios and have a strong background in data engineering, this opportunity is perfect for you.

Qualificações

• 5+ years of experience in applied Machine Learning.
• Strong data engineering skills with large scale datasets.

Responsabilidades

• Lead development and deployment of Machine Learning solutions.
• Mentor junior team members and influence technical direction.

Conhecimentos

Machine Learning

Python

Data Engineering

SQL

Deep Learning

Big Data Tools

Statistical Analysis

Formação académica

Masters Degree in Computer Science

PhD in Machine Learning

Ferramentas

Scikit-Learn

TensorFlow

Keras

PyTorch

Apache Kafka

Apache Beam

Spark

Descrição da oferta de emprego

The Senior Machine Learning Engineer owns the development and deployment of machine learning solutions and influences the technical direction of their team. They will work closely with Product and Engineering partners in the development of the solution.

• Lead the development and deployment of Machine Learning solutions to solve business problems.
• Develop and maintain clean, efficient, and scalable code that meets industry standards
• Analyze large datasets to extract actionable insights and make informed decisions.
• Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models.
• Influence technical direction and take ownership of key components of systems and solutions, ensuring that they meet the needs of the business.
• Collaborate with key stakeholders in the development of data-driven solutions and deployable products.
• Mentor junior team members to help establish team domain expertise.
• Contribute to the companys intellectual property and technical leadership through patents and publications at top-tier conferences and journals.

Requirements :

• 5+ years of industry experience in applied Machine Learning
• Masters Degree or PhD in CS / ML or related field
• 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale
• Deep understanding of ML best practices (A / B testing, training / serving pipelines, feature engineering etc), algorithms / techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design
• Experience in at least one of these domains : price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing
• Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch)
• Strong data engineering skills and experience working with large scale datasets
• Experience with big data tools (Apache Beam, Apache Kafka, Spark)
• Experience with cloud technologies AWS, GCP or Azure

Fluency in Python, SQL

Preferred Requirements :

• PhD preferred (CS, ML, AI or related field)
• Background in applying ML techniques to solve real-world business problems in the retail sector.
• Familiarity with MLOps tools and pipelines.
• Impact-focused and passionate about delivering high-quality models.
• Demonstrated leadership experience, with the ability to lead and inspire a team.