Senior Machine Learning Engineer

Capco promotes an inclusive culture, valuing diversity in all its expressions. They think collectively about diverse inclusion and social responsibility actions through internal committees managed by their internal community.
Machine Learning
Senior Software Engineer
Contact Company
10+ years of experience
AI · Finance

Description For Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to join our team at Capco. In this role, you will be responsible for developing and implementing machine learning algorithms to solve complex problems, improve processes, and generate actionable insights for the business.

Key Responsibilities:

  • Develop Machine Learning Models: Create, train, and optimize machine learning models using supervised and unsupervised techniques to solve business challenges and improve operational efficiency.
  • Data Collection and Cleaning: Prepare large structured and unstructured datasets, ensuring they are ready for machine learning algorithm application.
  • Model Evaluation: Monitor and evaluate model performance using metrics such as accuracy, precision, recall, and AUC, adjusting models as needed to maximize performance.
  • Implement Production Solutions: Work closely with data engineers to integrate machine learning models into production systems, ensuring scalability and efficiency.
  • Feature Exploration and Selection: Analyze and select the best variables (features) to train models, ensuring algorithms can generalize and predict accurately.
  • Visualize and Communicate Results: Translate model results into clear visualizations and comprehensible reports, enabling stakeholders to understand and make informed decisions.
  • Propose Improvements and Innovations: Suggest innovative machine learning-based solutions to optimize processes, reduce costs, and improve performance across different areas of the company.
  • Research New Technologies and Algorithms: Stay updated with the latest trends in machine learning and artificial intelligence, incorporating new techniques and tools when applicable.

Requirements:

  • Solid experience in predictive modeling, machine learning, and handling large volumes of data.
  • Minimum of 5 years of experience in data science and 10 years working in information technology.
  • Strong knowledge of machine learning algorithms (regression, classification, clustering, deep learning).
  • Proficiency with libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost.
  • Mastery of programming languages such as Python or R.
  • Experience with SQL and NoSQL databases.
  • Knowledge of cloud computing platforms: Microsoft Azure, AWS.
  • Experience with big data processing tools (Hadoop, Spark).
  • Analytical skills: Ability to transform large volumes of data into insights and implement predictive models that solve real business problems.
  • Production Implementation: Experience in putting Machine Learning models into production and optimizing them for scale and performance.

Education:

  • Bachelor's degree in Administration, Engineering, Accounting, Law, Economics, Information Technology Analysis, Information Technology Administration, or related fields.
  • Relevant post-graduate studies in Digital Transformation, Data Analysis, Business Intelligence, Machine Learning, or related specialties.
  • At least one of the following certifications: PMI-ACP, CBPP, BPM, Lean 6-Sigma (Black Belt), PMP, Professional Scrum Master (PSM), Team Kanban Practitioner (TKP), or Official SAFe® Certification.

At Capco, we promote an inclusive culture. We value diversity in all its expressions. We think collectively about diverse inclusion and social responsibility actions through internal committees managed by our internal community, such as Women's groups, People with Disabilities, Black People, LGBTQIAPN+, Parenthood, Generations, among others. Our opportunities are open to everyone!

If you're eager to progress your career with us, apply and wait for one of our recruiters to contact you!

Last updated 20 days ago

Responsibilities For Senior Machine Learning Engineer

  • Develop and implement machine learning algorithms
  • Create, train, and optimize ML models
  • Prepare large datasets for ML applications
  • Monitor and evaluate model performance
  • Integrate ML models into production systems
  • Analyze and select best features for model training
  • Translate model results into visualizations and reports
  • Propose innovative ML-based solutions
  • Stay updated with latest ML and AI trends

Requirements For Senior Machine Learning Engineer

Python
MongoDB
  • 5+ years of experience in data science
  • 10+ years of experience in information technology
  • Strong knowledge of machine learning algorithms
  • Proficiency with TensorFlow, PyTorch, Scikit-learn, XGBoost
  • Mastery of Python or R
  • Experience with SQL and NoSQL databases
  • Knowledge of cloud computing (Azure, AWS)
  • Experience with big data tools (Hadoop, Spark)
  • Bachelor's degree in relevant field
  • Relevant post-graduate studies
  • At least one relevant certification (e.g., PMI-ACP, CBPP, BPM, Lean 6-Sigma, PMP, PSM, TKP, SAFe®)

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