Full Stack and Machine Learning Engineer

Job Overview

Location
Pune, Maharashtra
Job Type
Full Time
Date Posted
2 days ago

Additional Details

Job ID
25936
Job Views
77

Job Description

Key Responsibilities:

  • Collaborate with UI and Java Backend teams to integrate new forecasting and regression models into the existing architecture
  • Design, develop, and maintain the machine learning engine, focusing on optimizing model performance and accuracy
  • Work closely with data scientists to refine and implement new machine learning algorithms for forecasting and regression tasks
  • Troubleshoot and resolve complex issues related to model deployment, prediction, or inference

Model Deployment and Hosting:

  • Design, develop, and deploy a scalable model hosting platform e.g. using Kubeflow, Kserve etc
  • Configure and handle the platform for seamless model serving and inference

Required Machine Learning and AI Expertise:

  • Currently working on machine learning projects and staying up-to-date with the latest trends and techniques
  • Proven understanding of machine learning fundamentals, including supervised and unsupervised learning, deep learning, and natural language processing
  • Experience with Generative AI (GenAI) technologies, such as text-to-image models or conversational AI is a plus

Technical Skills:

  • Programming languages: Java, Python, or other relevant programming languages
  • Machine Learning Libraries: StatsModel, Scikit-learn, TensorFlow, PyTorch etc
  • Data Preprocessing: pandas, NumPy, scikit-learn etc
  • Model Deployment: Docker, Kubernetes (MLflow/Kubeflow is plus)
  • Cloud Computing Platforms: AWS, Azure, or private cloud platforms
  • Experience with Java Spring Boot for building scalable web applications

Preferred Knowledge/Skills

  • Previous experience as a Full Stack Developer with expertise in Java Spring Boot and Angular
  • Strong understanding of web application architecture and scalability principles
  • Excellent problem-solving skills and ability to work independently with R&D mindset

Good to Have:

  • Experience with DevOps practices (e.g., Continuous Integration, Continuous Deployment) for machine learning models
  • Certification in machine learning or data science
  • Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure Machine Learning)
  • GenAI exposure

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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