Job Summary:
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 strong 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 Job Details
- Job Title: Machine Learning Engineer
- Location: Bangalore, India
- Employment Type: Full-time
- Job Category: Machine Learning/Data Science
- Date Published: 26 January 2025
- Travel Required: No
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:
- Strong 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.
Apply Now
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