Machine Learning Engineer Position

1 week ago


Noida, Uttar Pradesh, India Manupatra Full time

About Manupatra

We serve clients across more than 20 countries, offering advanced analytics and decision-making tools for professionals and businesses.

Our company has been a leader in leveraging cutting-edge technologies to enhance productivity and transform the legal market.

Job Overview

This role involves developing large language model (LLM)-based applications using both proprietary and open-source models, as well as popular frameworks for seamless integration and deployment.

Key Responsibilities

  • Design and implement standalone applications that interact with LLM models.
  • Create robust applications based on RAGs (Reusable Application Blocks).
  • Work with vector databases like Solr for LLM-based solutions.
  • Preprocess and manage data for training and deployment.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Write clean, maintainable, and efficient code.
  • Document development processes, code, and APIs.
  • Develop and deploy features for NLP or AI-related projects.

Requirements

Education: A B.Tech degree in Computer Science, Data Science, or a related field (or equivalent experience).

Experience:

  • A minimum of 3 years of software engineering experience as a team member or mentor in a mid-to-large technical company.
  • Proven experience in building customer-facing ML-based APIs.
  • Experience in developing scalable applications to handle terabytes of data.

Technical Skills:

  • Strong knowledge of API integration (RESTful, GraphQL).
  • Experience with data preprocessing, SQL, NoSQL databases, and vector stores.
  • Familiarity with deployment tools (Docker, Kubernetes).
  • Experience with DevOps tools like Jenkins, Terraform, and CloudFormation templates.
  • Proficiency in Python, and optionally at least one other programming language.
  • Familiarity with CI/CD pipelines, DevOps practices, Redis, Docker, K8S, and Azure.

Big Data & Cloud:

  • Experience with Spark/Hadoop, EMR, or other Big Data technologies.
  • Certifications in machine learning, data science, or cloud computing.

Additional Qualifications:

  • Strong problem-solving and communication skills.
  • Solid understanding of software architecture design, application scaling, performance, and security.
  • A portfolio showcasing past projects or contributions to open-source projects.


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