Sr. Machine Learning Engineer | WA | HIB | C2C

 

Certainly! Here's a detailed job description for a Senior Machine Learning Engineer position, suitable for someone with at least 7 years of experience, located in Washington (WA):

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Job Title: Senior Machine Learning Engineer

Location: Washington (WA)

Employment Type: C2C

Experience: 7+ years in Machine Learning engineering

VISA: H1B

Job Description:

As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems and enhance product offerings. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to implement scalable and robust machine learning solutions.

Key Responsibilities:

1. Machine Learning Model Development: Design and develop machine learning models and algorithms, including supervised and unsupervised learning techniques, to address business challenges and opportunities.

2. Data Preparation and Feature Engineering: Perform data cleaning, preprocessing, and feature engineering tasks to prepare structured and unstructured data for model training and evaluation.

3. Model Training and Evaluation: Implement machine learning pipelines and frameworks (e.g., TensorFlow, PyTorch) to train and evaluate models. Optimize model performance and accuracy through hyperparameter tuning and experimentation.

4. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and maintainability. Collaborate with DevOps teams to integrate models into existing software systems.

5. Monitoring and Maintenance: Monitor model performance and health in production. Implement monitoring tools and processes to detect drift, anomalies, and performance degradation. Iterate and improve models based on feedback and data insights.

6. Collaboration and Communication: Work closely with cross-functional teams to understand business requirements, translate them into technical solutions, and communicate findings and insights effectively to stakeholders.

7. Research and Innovation: Stay updated with the latest advancements in machine learning, artificial intelligence, and related fields. Evaluate new technologies and methodologies to drive innovation and continuous improvement in machine learning practices.

8. Documentation and Best Practices: Document code, algorithms, and processes. Promote best practices in machine learning engineering, including version control, reproducibility, and code quality standards.

Required Skills:

• Proven experience (7+ years) as a Machine Learning Engineer or similar role, with a strong background in designing and deploying machine learning models in production environments.
• Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages (e.g., Python, R).
• Solid understanding of data structures, algorithms, and statistical principles related to machine learning.
• Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable model deployment and management.
• Familiarity with DevOps practices and tools for CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure as code.
• Strong problem-solving skills and ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

Preferred Qualifications:

• Master’s or PhD in Computer Science, Statistics, Mathematics, or related field.
• Experience in natural language processing (NLP), computer vision, or reinforcement learning.
• Publications or contributions to the machine learning community (e.g., research papers, open-source projects).
• Certifications in machine learning or artificial intelligence (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer).

This role offers an exciting opportunity to lead machine learning initiatives and contribute to the development of innovative solutions that drive business growth and competitive advantage. If you are passionate about machine learning, have a strong technical background, and meet the qualifications outlined above, we encourage you to apply. This position is based in Washington (WA) and provides a dynamic work environment where you can apply your expertise in advancing machine learning capabilities.

Connection Link: https://www.linkedin.com/in/dreakansh-151217126/