Python AIML/LLM Professional

Job highlights

• Mphasis X2C2 TM formula for success,(shift anything to cloud and power everything with cognitive),drives five dimensions of business value with an integrated consumer-centric Front to Back Digital Transformation,enabling Business Operations and Technology Transformation
• Develop APIs and services to serve AI / ML models in real-time or batch environments

Python Developer - AI / ML

Mphasis

Bangalore

About Mphasis

Mphasis enables customers to reimagine their digital future by applying a unique formula of integrated cloud and cognitive technology. Mphasis X2C2 TM formula for success, (shift anything to cloud and power everything with cognitive), drives five dimensions of business value with an integrated consumer-centric Front to Back Digital Transformation, enabling Business Operations and Technology Transformation. Mphasis applies advancements in cognitive and cloud to traditional application and infrastructure services to bring much needed efficiency and cost effectiveness. Mphasis core reference architectures and tools, combined with domain expertise and hyper specialization are the foundation for building strong relationships with marquee customers.

Job Description

Function: Software Engineering Backend Development, Frontend Development, Full-Stack Development

• Python
• Machine Learning
• Machine Learning
• SQL
• PySpark

We are looking for a skilled Python Engineer with expertise in AI/ML to design, develop, and deploy intelligent systems and scalable machine learning models. You will work alongside data scientists, engineers, and product teams to integrate AI-powered solutions into real-world applications.

Responsibilities:

• Design and develop efficient and reusable Python code for data processing, model training, and deployment.
• Implement and optimize machine learning models using libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Collaborate with data scientists to transition prototypes into scalable production-grade systems.
• Handle data acquisition, cleaning, transformation, and feature engineering.
• Develop APIs and services to serve AI/ML models in real-time or batch environments.
• Monitor and maintain ML models, ensuring performance and accuracy over time (model drift, retraining pipelines).
• Collaborate in agile development teams, participating in code reviews and sprint planning.

Requirements:

• Strong programming skills in Python, including knowledge of libraries like NumPy, Pandas, Matplotlib, and Seaborn.
• Proficiency in AI/ML frameworks: scikit-learn, TensorFlow, Keras, or PyTorch.
• Hands-on experience with data processing, ETL pipelines, and SQL/NoSQL databases.
• Understanding of ML algorithms such as regression, classification, clustering, NLP, or deep learning.
• Experience deploying ML models using Flask/FastAPI, Docker, or Kubernetes.
• Familiarity with CI/CD pipelines, MLOps, or cloud platforms (AWS, GCP, Azureis a plus.
• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

Regards,