Job highlights

- The role involves hands-on experience in designing,developing,and deploying machine learning models,with a robust focus on scalable environments and modern CI / CD pipelines
- Bachelor s or Master s degree in Computer Science,Machine Learning (ML),Data Science,or a related field
- Experience with data preprocessing,feature engineering,and model evaluation

The client is hiring for Machine Learning Engineer jobs to join their team and work on cutting-edge machine learning technologies that solve complex business challenges. The role involves hands-on experience in designing, developing, and deploying machine learning models, with a robust focus on scalable environments and modern CI/CD pipelines. Candidates for these Machine Learning Engineer jobs should bring deep technical expertise, collaborative skills, and a passion for continuous learning to drive the successful execution of ML projects.

Key Responsibilities

Algorithm Development

- Design, develop, and implement machine learning algorithms to address specific business challenges.
- Collaborate with cross-functional teams to meet business objectives.

Data Analysis and Modeling
- Perform exploratory data analysis and identify patterns in large datasets.
- Build, validate, and deploy machine learning models for predictive and prescriptive analytics.

Feature Engineering
- Extract and engineer relevant features to enhance model performance.
- Optimize and fine-tune models for improved accuracy and efficiency.

Model Evaluation and Deployment




- Conduct thorough evaluation of machine learning models using appropriate metrics.
- Deploy models into production environments, ensuring scalability, reliability, and performance.

Collaboration
- Communicate complex technical concepts to non-technical stakeholders effectively.

Qualifications

- Educational Requirements:
- Bachelor s or Master s degree in Computer Science, Machine Learning (ML), Data Science, or a related field.

- Technical Skills
- 5-6 years of hands-on experience in developing and deploying machine learning models.
- Proficiency in programming languages like Python, R, or Java.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Expertise in ML frameworks like TensorFlow, PyTorch, and libraries like scikit-learn.

- DevOps and Automation Tools
- Robust knowledge of CI/CD tools: Azure ML DevOps, Jenkins, GitLab CI/CD, Kubernetes.
- Experience with monitoring and logging systems: Azure Monitor, Prometheus, Grafana, ELK stack.

- Preferred Skills
- Knowledge of ERP environments like Salesforce and SAP ECC.
- Proficiency in cloud and on-premises infrastructure.
- Excellent communication skills and ability to work in a collaborative environment.

Why Consider This Role?

- Growth Opportunities: Be at the forefront of cutting-edge machine learning developments.
- Global Exposure: Work with industry leaders and cutting-edge technologies.
- Supportive Environment: Collaborative culture fostering innovation and professional growth.

📌 Machine Learning Engineer (Bengaluru)
🏢 MS Guide World
📍 Bengaluru