Machine Learning Engineer

Attractivate Consulting Solutions; Houston (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Attractivate Consulting Solutions in Houston is seeking a Machine Learning Engineer to build intelligent systems that power our products. You will design, develop, and deploy ML models, collaborating with data scientists and engineers to translate business needs into scalable solutions.

The role emphasizes data preprocessing, model tuning, production integration, and monitoring. You should bring 5+ years of ML experience, with strong Python, TensorFlow/PyTorch, and cloud skills, and a track

Qualifications

• 5+ years of ML experience with production deployments.
• Strong knowledge of ML frameworks and data pipelines.
• Bachelor's or Master's in CS/DS/Stats/Math or related field.

Responsibilities

• Design, develop, and deploy ML models to solve business problems.
• Collaborate with data scientists and engineers to deliver scalable ML solutions.
• Build and optimize ETL data pipelines for ML workflows.
• Prepare data with thorough preprocessing for model training.
• Tune models for performance and accuracy.
• Integrate models into production and monitor performance.
• Document processes and results for reproducibility.

Skills

Python

R

SQL

TensorFlow

PyTorch

scikit-learn

Big data

Cloud platforms

Education

Bachelors in CS

Masters in DS

Statistics

Mathematics

Tools

Hadoop

Spark

Tableau

Git

CI/CD

Job description

About Us:

Attractivate is at the forefront of innovation, leveraging advanced technologies to drive business success. We are looking for a talented Machine Learning Engineer to join our team and help us build intelligent systems that enhance our products and services.

Job Description:

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver scalable ML solutions.
• Implement and optimize data pipelines and ETL processes to support machine learning workflows.
• Conduct thorough data analysis and preprocessing to ensure high-quality input for model training.
• Evaluate and fine-tune models for performance, accuracy, and scalability.
• Integrate machine learning models into production systems and monitor their performance.
• Stay updated with the latest advancements in machine learning and AI and apply them to improve existing solutions.
• Document processes, models, and results to ensure reproducibility and knowledge sharing.

Technical Skills:

• Proficiency in programming languages such as Python, R, and SQL.
• Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of deep learning techniques and neural networks.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with data visualization tools (e.g., matplotlib, seaborn, Tableau).
• Understanding of software development best practices, including version control (e.g., Git) and CI/CD pipelines.

Functional Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Ability to translate business requirements into technical specifications and ML solutions.
• Strong attention to detail and commitment to delivering high-quality results.
• Ability to work independently and manage multiple projects in a fast-paced environment.

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in machine learning or a related field, with a proven track record of deploying ML models in production.
• Relevant certifications in machine learning and AI are a plus.