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software development learning ai design algorithms deployment monitoring maintenance data testing model reliability code mlflow programming python java scala gcp aws azure containerization docker kubernetes tensorflow pytorch engineering etl visualization tableau power hadoop spark agile management devops communication collaboration

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

Job Title: Senior Software Development Engineer Artificial Intelligence & MLOps Location: Any Location Years of Experience: 4-6 Years Job Summary: We are seeking a highly skilled and experienced Senior Software Development Engineer specializing in Artificial Intelligence and MLOps. The ideal candidate will have a strong background in machine learning operations and software development, with a proven track record of deploying and managing machine learning models in production environments. This role requires a deep understanding of MLOps principles and practices, as well as the ability to collaborate effectively with cross functional teams to deliver high quality AI solutions. Responsibilities: Design, develop, and implement scalable machine learning models and algorithms. Manage the end to end lifecycle of machine learning models, including deployment, monitoring, and maintenance. Collaborate with data scientists, software engineers, and product managers to define and deliver AI solutions that meet business needs. Establish and maintain MLOps best practices, including version control, CI/CD pipelines, and automated testing. Optimize model performance and ensure reliability in production environments. Conduct code reviews and provide mentorship to junior team members. Stay updated with the latest trends and advancements in AI and MLOps technologies. Mandatory Skills: Strong expertise in MLOps practices and tools (e.g., MLflow, Kubeflow, TFX). Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms GCP is preferred (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Experience with data engineering and ETL processes. Strong problem solving skills and ability to work in a fast paced environment. Preferred Skills: Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with Agile methodologies and project management tools. Understanding of DevOps practices and tools. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 7 10 years of experience in software development with a focus on AI and MLOps. Proven track record of successfully deploying machine learning models in production. Excellent communication and collaboration skills. If you are passionate about artificial intelligence and have a strong foundation in MLOps, we encourage you to apply and join our innovative team at TechM.

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Tech Mahindra
Tech Mahindra

Information Technology & Services

Noida

125,000+ Employees

1231 Jobs

    Key People

  • CP Gurnani

    Managing Director & CEO

  • Vivek Agarwal

    Global Head - Strategy and Marketing

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