Machine Learning Engineer

Machine Learning Engineer Job Offer – Augment Jobs

Overview:

Augment Jobs is seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. In this role, you will design, implement, and deploy machine learning models and systems to solve complex business challenges and propel innovation. You will work closely with data scientists, software engineers, and cross-functional teams to deliver scalable and robust machine learning solutions.

Roles and Responsibilities:

• Machine Learning Model Development:
  • Design and develop machine learning models and algorithms to tackle business challenges and opportunities.
  • Implement cutting-edge machine learning techniques and frameworks to analyze and interpret large datasets.
  • Optimize models for performance, scalability, and reliability in production environments.
• Data Preparation and Feature Engineering:
  • Collect, preprocess, and clean data from various sources to create high-quality datasets for model training.
  • Perform feature engineering and selection to enhance model accuracy and generalization capabilities.
  • Collaborate with data engineers to ensure efficient data pipelines and data quality.
• Model Training and Evaluation:
  • Train, validate, and test machine learning models using suitable methodologies and metrics.
  • Conduct experiments and iterate on models to improve performance and meet targeted outcomes.
  • Implement model monitoring and evaluation to ensure ongoing accuracy and effectiveness.
• Deployment and Integration:
  • Deploy machine learning models into production and integrate them with existing systems and applications.
  • Work with software engineering teams to implement scalable and efficient APIs and services for model inference.
  • Ensure the robustness, scalability, and security of deployed machine learning solutions.
• Collaboration and Communication:
  • Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical solutions.
  • Communicate technical concepts, methodologies, and results to non-technical stakeholders clearly and concisely.
  • Work with cross-functional teams to drive the adoption of machine learning solutions and foster continuous improvement.

Skills and Qualifications:

• Proven experience (X+ years) as a Machine Learning Engineer or in a related role with strong expertise in machine learning, deep learning, and data science.
• Proficiency in programming languages commonly used in machine learning such as Python, TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of machine learning algorithms, statistical models, and optimization techniques.
• Experience in data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms like AWS, Azure, or GCP and containerization technologies such as Docker and Kubernetes.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues and drive solutions.
• Excellent communication and collaboration skills, suitable for working effectively within a team environment.

Education:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; an advanced degree (e.g., Master’s, PhD) in Machine Learning or Data Science is preferred.

Additional Attributes:

• Passion for machine learning and artificial intelligence, and a desire to innovate and apply new technologies to real-world problems.
• Thrives in a fast-paced, dynamic environment and adapts to evolving business requirements.
• Detail-oriented and results-driven, focusing on delivering high-quality machine-learning solutions that meet business objectives.

This job description highlights the critical responsibilities and qualifications for a Machine Learning Engineer role. Adjustments may be made based on specific company needs, industry focus, and organizational structure.