ML Engineer Job at Wipro | AI & MLOps Career Opportunity in Bengaluru
Job Description: ML Engineer at Wipro
Job Title: ML Engineer
Requisition ID: 29583
Location: Bengaluru, India
About Wipro
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting, dedicated to delivering innovative solutions that drive digital transformation. With a strong presence across 65+ countries and a workforce of over 230,000 professionals, Wipro empowers clients, employees, and communities to thrive in an ever-evolving digital landscape. Our end-to-end expertise in consulting, design, engineering, and operations allows us to tackle the most complex business challenges and deliver future-ready, sustainable solutions.
To learn more about our cutting-edge solutions and transformative impact, visit www.wipro.com.
ML Engineer—Role Overview
As an ML Engineer at Wipro, you will play a critical role in developing cutting-edge Minimum Viable Products (MVPs) and comprehensive AI solutions that exceed client expectations. This role involves working on AI model deployment, cloud architecture, and advanced machine learning pipelines. If you are passionate about MLOps, AI/ML model deployment, cloud computing, and automation, this is the perfect opportunity for you.
Key Responsibilities
1. AI/ML Model Development & Deployment
- Design, develop, and deploy robust machine learning models using state-of-the-art tools.
- Implement end-to-end ML pipelines for training, serving, and monitoring models.
- Work with cloud platforms (GCP, AWS, Azure) to optimize deployment and scalability.
- Utilize frameworks such as TensorFlow, PyTorch, Scikit-learn, and MLFlow for model training and evaluation.
2. MLOps & Cloud Integration
- Build and maintain MLOps workflows using Kubeflow, Airflow, Argo, or MLFlow.
- Implement CI/CD pipelines for automated model deployment and monitoring.
- Optimize cloud-based machine learning workloads using Google Cloud Platform (GCP).
- Ensure seamless integration of ML models into production environments.
3. Data Engineering & Feature Engineering
- Develop data pipelines for data preprocessing, transformation, and feature engineering.
- Optimize SQL queries to handle large datasets efficiently.
- Implement strategies for real-time and batch data processing.
4. AI Model Performance Monitoring & Optimization
- Monitor ML models post-deployment to ensure accuracy, performance, and efficiency.
- Conduct regular audits and retrain models as necessary.
- Develop tools for automated anomaly detection and performance tracking.
5. Research & Innovation
- Stay updated with the latest advancements in AI, deep learning, and MLOps.
- Publish research papers and contribute to open-source ML projects.
- Collaborate with cross-functional teams to innovate AI-driven solutions.
6. Client-Centric Delivery & Optimization
- Ensure on-time delivery of ML projects, meeting client expectations and business needs.
- Optimize cost and resource allocation for AI-driven solutions.
- Automate repetitive tasks to enhance efficiency and reduce manual efforts.
7. Team Management & Knowledge Sharing
- Train and mentor junior ML engineers on MLOps, AI deployment, and cloud computing.
- Conduct internal and external webinars to share knowledge.
- Foster a culture of continuous learning and innovation within the team.
Required Skills & Qualifications
To excel in this role, you should have a strong background in machine learning, MLOps, and cloud computing. Below are the essential and preferred skills:
Must-Have Skills:
✅ Python Programming: Strong expertise in writing efficient and scalable Python code.
✅ SQL Proficiency: Ability to work with complex SQL queries for data manipulation.
✅ ML Model Deployment: Hands-on experience in deploying ML models in production.
✅ ML Pipelines: Experience with tools like Kubeflow, Airflow, Argo, or MLFlow.
✅ GCP Cloud Architecture: Deep understanding of Google Cloud Platform (GCP) and its ML services.
Preferred Skills:
✨ Deep Learning Frameworks: Experience with PyTorch, TensorFlow, or Scikit-learn.
✨ Cloud Services Expertise: Experience in AWS, Azure, or GCP hyperscalers.
✨ Automation & DevOps: Familiarity with CI/CD pipelines, Kubernetes, and Docker.
Why Join Wipro?
At Wipro, we are reimagining the future with cutting-edge AI and machine learning solutions. Here’s why you should be part of our journey:
✅ Innovative Work Environment: Work on groundbreaking AI/ML projects that shape the future.
✅ Continuous Learning: Access to training programs, certifications, and research opportunities.
✅ Diverse & Inclusive Culture: Join a workplace that values diversity, equity, and inclusion.
✅ Career Growth Opportunities: Accelerate your career with mentorship and leadership development.
✅ Global Impact: Work with clients across the globe to drive meaningful digital transformations.
Equal Opportunity & Accessibility
Wipro is an Equal Opportunity Employer, committed to fostering an inclusive and accessible workplace for all. We welcome applicants from all backgrounds and ensure a fair hiring process.
🔹 Inclusivity: We embrace diversity in race, gender, religion, disability status, and more.
🔹 Accessibility: Reasonable accommodations will be provided to applicants requiring assistance during the hiring process.
🔹 Ethical Hiring Practices: Report any suspicious job offers to helpdesk.recruitment@wipro.com.
Apply Now!
Are you ready to transform the AI landscape with cutting-edge ML solutions? Join Wipro and be a part of our innovation-driven journey. Apply today and take the next step in your career as an ML Engineer at Wipro.