Associate Machine Learning Engineer

0-1 years

Not Disclosed

Bangalore

10 April 23, 2024

Job Description

Job Type: Full Time Education: B.E/B.Tech Skills: Python, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Data Science, Artificial Intelligence

Job description

Responsiblities

Design and develop machine learning and deep learning systems, including the creation of algorithms and AI models to extract valuable insights from large, complex data sets.

Taking full ownership of projects, leading from the initial understanding of the business problem through to the implementation and monitoring of the solution.

Deploying and maintaining AI models in production.

Conduct rigorous machine learning tests and experiments, performing statistical analysis to fine-tune models based on test results.

Compare results from various methodologies, recommending the most effective techniques to stakeholders and leading improvements in methodology to address capability gaps or increase efficiency.

Collaborating with senior team members to shape the team's technical vision and participate in code reviews to maintain high-quality standards.

Leverage the latest advancements in Machine Learning and AI to build, test, and validate predictive models, transforming and converting data science prototypes.

Troubleshoot data/system issues, maintain technical design and drive continuous improvement within an agile development team, making impactful contributions to discussions on emerging machine learning methodologies.

Mentoring the junior engineers in the team

Required Skill Sets

A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science or related quantitative field (Masters or PhD preferred )

Experience in NLP, showcasing adeptness in both Natural Language Understanding and Generation domains

Comprehensive knowledge of transformer-based models and large language models, with experience in fine-tuning of the latter.

Solid understanding of Algorithms and Data Structures

Good understanding of vector databases, Elastic Search and Neural search

Experience in fine-tuning of large language models is preferred

Experience in Computer Vision is a plus

Experience in prompt engineering of large language model is a plus

Should be able to understand business problems, identify relevant data, select suitable algorithms, and determine effective production models.

Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)

Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch and worked on real ML projects that have reached production environment

What can you expect:

Opportunity to work on interesting and hard research problem, to see real application of state-of-the-art research into practice.

Opportunity to work on important problem with big social impact: Massive, and direct impact of the work you do on lives of students.

An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.

Learn effective engineering habits required to build/deploy large production ready ML applications.

Ability to do quick iterations and deployments.

Role: Machine Learning Engineer

Industry Type: E-Learning / EdTech

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Any Specialization

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