MLOps Engineer - L2

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

1. Machine Learning
2. AI
3. Python
4. JAVA
5. 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