Machine Learning Engineer Position
1 week ago
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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