Machine Learning Engineer Lead
3 weeks ago
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
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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