Machine Learning Engineer

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.