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Principal Machine Learning Engineer

Merit Data and Technology
Location: Anywhere in India, Experience: 4 years - 8 years
Posted On: 06-Nov-2024 | Last Date to Apply: 31-Dec-2024 | No: of Vacancies : 1

Company Profile:

Merit is a London-based company where the teams are using cutting-edge technologies. We have our technology hubs in Chennai, Mumbai, and London. Merit is an AI-driven technology business, specialising in data collection, enrichment and data engineering. We excel at data; collecting, refining and interpreting information and managing data into diverse data platforms and systems. We underpin some of the world’s most trusted B2B brands with our proprietary data management systems and data solutions. We build resilient and scalable Cloud and on-prem solutions, ranging from simple web applications to large-scale enterprise data applications

Job description:

Ability to design, develop and deploy machine learning and deep learning solutions 

 Performing machine learning model evaluation and experiments.  Implementing appropriate ML algorithms

.  Ability to plan, execute, measure results and drive improvement on a continuing basis.

  Managing available resources such as computer hardware, data, and developers so that deadlines are met

.  Strategic thinking and ability to communicate to people in every level.

  Collaborate with team to brainstorm and share ideas to solve business problems.  Mentor junior and mid-level engineers.

  Work collaboratively with team members and other stakeholders to achieve goals.

  Passionate about AI and stay up to date with the latest development in the field of ML AI. 

 Familiarity with software engineering practices, version control systems e.g., Git, and collaborative development tools.

  ML lifecycle like ML flow or airflow  Basic understanding in DVC and MVC

Key Qualifications

Bachelors

Education

B.E

Skills

Python,Machine Learning,Deep Learning LMs & LLMs,NLP,Image processing,Data wrangling cleansing,

Industry

IT-Software- Software services

Gender Preference:

Female

Job Type:

Full Time

Diversity Tags:

Not Applicable