Machine Learning Engineer

3 weeks ago


Hyderabad, Telangana, India L&T Technology Services Full time
About L&T Technology Services

L&T Technology Services is a global leader in Engineering and R&D (ER&D) services. With 816 patents filed for 57 of the Global Top 100 ER&D spenders, LTTS lives and breathes engineering and technology. Our innovations speak for themselves – World's 1st Autonomous Welding Robot, Solar 'Connectivity' Drone, and the Smartest Campus in the World, to name a few.

Job Title: Machine Learning Engineer

Experience Level: 4-5 years

Job Overview:

We are seeking a skilled Machine Learning Engineer to join our team and help design, implement, and maintain cutting-edge machine learning models that drive insights, automation, and product improvements. You will collaborate with software engineers, and product teams to develop scalable ML solutions for real-world problems. Your expertise will contribute to building end-to-end machine learning pipelines and improving model performance across various projects.

Key Responsibilities:
  • Design, implement, and optimize machine learning models using techniques like regression, classification, clustering, and deep learning.
  • Build end-to-end machine learning pipelines, from data collection to model deployment.
Data Processing and Feature Engineering:
  • Collaborate with data engineers to acquire, preprocess, and clean large-scale datasets.
  • Design and implement feature extraction, transformation, and selection methods to improve model performance.
Model Evaluation and Optimization:
  • Use metrics like accuracy, precision, recall, F1-score, ROC-AUC, and others to evaluate model performance.
  • Perform hyperparameter tuning, cross-validation, and model debugging to enhance accuracy and efficiency.
Collaboration with Cross-functional Teams:
  • Partner with data scientists, software engineers, and product managers to deliver data-driven solutions.
  • Translate business requirements into technical specifications for machine learning projects.
Automation and Scalability:
  • Develop scripts and tools to automate data processing, model training, and evaluation pipelines.
  • Work on scaling models and optimizing runtime performance for large datasets and real-time applications.
Stay Updated:
  • Keep up to date with the latest advancements in machine learning, AI, and relevant technologies.
  • Experiment with emerging techniques like transfer learning, reinforcement learning, and generative models.


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