Software Engineer, Machine Learning

Job Summary

We are seeking a skilled Software Engineer, Machine Learning to design, develop, and deploy scalable ML solutions. The ideal candidate will have hands-on experience working with real-world datasets, building and optimizing models, and deploying ML solutions in production environments.

Key Responsibilities

• Design, develop, and deploy machine learning models for production applications.
• Work with large, real-world, and noisy datasets for data preprocessing and feature engineering.
• Implement supervised and unsupervised learning algorithms, including classification, regression, clustering, and ensemble methods.
• Develop deep learning models using architectures such as CNNs, RNNs, and Transformers.
• Evaluate models using appropriate metrics and continuously improve model performance.
• Optimize models for latency, throughput, and efficient resource utilization.
• Build and integrate ML solutions with APIs and microservices.
• Collaborate with engineering and DevOps teams for deployment and scaling of ML systems.
• Implement monitoring, logging, backup, and recovery processes for deployed solutions.
• Contribute to containerized and cloud-based deployments.

Required Skills & Qualifications

• Strong understanding of machine learning algorithms and model evaluation techniques.
• Hands-on experience with data processing tools such as Pandas, NumPy, or Spark.
• Experience working with large-scale datasets in production environments.
• Practical experience in deep learning model development.
• Familiarity with MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow).
• Experience with REST APIs and microservices architecture.
• Knowledge of containerization and orchestration tools (Docker/Kubernetes).
• Experience in database monitoring, log management, and backup/recovery strategies.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience deploying ML models in cloud environments.
• Exposure to distributed systems or high-performance computing environments.
• Experience working in Agile development teams.

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.

Key skills/competency

• Machine Learning
• Deep Learning
• MLOps
• Data Preprocessing
• Feature Engineering
• Model Deployment
• REST APIs
• Microservices
• Docker
• Kubernetes
• Spark
• Model Optimization