Machine Learning Engineer Lead

4 weeks ago


Bengaluru, India Ascendion Full time

Hello Everyone,


Ascendion is hiring a "machine engineer lead" who can join us within 15 days.


I'm currently hiring for a Machine Engineer Lead position with one of my top-notch IT services and IT consulting clients. Please take a look at the details below, and if interested, send your resume to shijo.thomas@ascendion.com.


Job Description:

  • Develop and implement machine learning models and algorithms, with a focus on NLP and deep learning.
  • Utilize MLOps practices to streamline the end-to-end machine learning lifecycle, including model development, training, testing, deployment, and monitoring.
  • Collaborate with software engineers to integrate machine-learning models into production systems.
  • Optimize and fine-tune machine learning algorithms for performance and scalability.
  • Conduct research to stay updated on the latest advancements in machine learning and related fields.
  • Work closely with stakeholders to understand business requirements and translate them into technical solutions.
  • Contribute to the development and maintenance of internal tools and frameworks for machine learning development and deployment.
  • Mentor junior members of the team and provide guidance on best practices in machine learning and MLOps.


Skills and qualifications:

  • Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field.
  • Proven experience as a machine learning engineer or similar role.
  • Strong proficiency in NLP techniques and deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with MLOps practices, including version control, continuous integration/continuous deployment (CI/CD), model monitoring, and containerization.
  • Solid understanding of machine learning algorithms and data structures.
  • Familiarity with distributed computing frameworks (e.g., Apache Spark) is a plus.
  • Experience with blockchain technologies and smart contracts (e.g., Langchain) is desirable but not required.
  • Excellent problem-solving skills and the ability to work independently as well as part of a team.
  • Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.
  • A proactive attitude towards learning and staying updated on emerging technologies and trends in machine learning and artificial intelligence.



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