MLOps Engineer - L2
Date: 15 May 2025
Location: Bangalore, India
Company: Wissen Infotech Private Limited
About Us
Established in the year 2000 in the US, we have global offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities spread across the globe. We are an end-to-end solution provider in Banking & Financial Services, Telecom, Healthcare, Manufacturing & Energy verticals and have successfully delivered $1 billion worth of projects for more than 20 Fortune 500 companies.
Position Name
ML Ops Engineer - L2
Experience
3 + years
Location
Bangalore
Shift Timings
Custom
Job Description
We are looking for a talented and motivated Machine Learning Engineer to join our AI Center of Excellence. In this role, you will work with cutting-edge technologies and be a part of a dynamic team driving AI innovation and implementation.
Key Responsibilities:
• Design, develop, and deploy machine learning models for various business applications.
• Work closely with data scientists, software engineers, and domain experts to integrate AI solutions into our product offerings.
• Perform data preprocessing, feature engineering, and model evaluation to ensure high-performance solutions.
• Collaborate in the development and optimization of scalable ML pipelines.
• Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to solve real-world problems.
• Participate in code reviews, technical discussions, and contribute to the continuous improvement of our AI projects.
• 2-5 years of hands-on experience in machine learning engineering.
• Proficiency in programming languages such as Python or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Working knowledge of transformer-based models, including LLMs, and familiarity with Huggingface libraries.
• Solid understanding of algorithms, data structures, and software engineering principles.
• Experience with data processing tools and platforms (e.g., Apache Spark, Hadoop).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps practices.
• Experience with popular MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes).
Competencies
Key Skills
- Machine Learning
- AI
- Python
- JAVA
- LLM
Soft Skills
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Qualification
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field with consistently good academic performance.
Certifications