What are the responsibilities and job description for the Machine Learning Engineer position at HStechnologies LLC?
Job Details
Job Title: Machine Learning Engineer
Job Summary
We are seeking a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will have hands-on experience in building, deploying, and maintaining machine learning models at scale. You will work closely with data scientists, software engineers, and product managers to create robust machine-learning solutions that solve real-world business problems.
Key Responsibilities
Model Development & Optimization
- Design, train, and optimize machine learning models for classification, regression, clustering, recommendation, NLP, and other tasks.
- Experiment with various algorithms and techniques to improve model accuracy and performance.
Deployment & Scalability
- Build and deploy machine learning models into production environments using MLOps frameworks and tools.
- Develop scalable APIs and services to integrate machine learning models with existing systems.
- Monitor and maintain deployed models to ensure performance and reliability over time.
Data Engineering & Preprocessing
- Work with large datasets, ensuring data quality, consistency, and integrity.
- Develop and maintain data pipelines for training and serving machine learning models.
- Collaborate with data engineers to ensure efficient data access and storage.
Feature Engineering & Selection
- Identify, extract, and engineer features that improve model performance.
- Perform feature selection and dimensionality reduction where necessary.
Model Evaluation & A/B Testing
- Evaluate model performance using appropriate metrics and validation techniques.
- Design and conduct A/B tests or experiments to measure the impact of deployed models on business outcomes.
Collaboration & Documentation
- Collaborate with cross-functional teams, including data scientists, product managers, and software engineers.
- Document model design, architecture, and deployment processes for future reference.
Research & Continuous Learning
- Stay updated on the latest trends, technologies, and best practices in machine learning and AI.
- Participate in knowledge-sharing sessions and contribute to the company s technical growth.
Required Qualifications
- Bachelor s or Master s in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Proven experience (6 years) in developing and deploying machine learning models in production environments.
- Strong programming skills in Python and familiarity with machine learning libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
- Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and containerization tools (Docker, Kubernetes).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Proficiency in working with databases (SQL and NoSQL) and big data tools (Spark, Hadoop).
- Experience with version control (Git) and CI/CD pipelines for machine learning.
- Strong problem-solving and critical-thinking abilities.
- Excellent communication and teamwork skills.
Preferred Qualifications
- Experience in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
- Familiarity with AutoML and automated feature engineering techniques.
- Experience in time-series forecasting or anomaly detection.
- Contributions to open-source machine learning projects.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
