ML Engineer

Beam is a tech start-up revolutionizing business operations with AI. Their AI Agents empower organizations by automating repetitive tasks, boosting productivity in seconds.
Karachi, Karachi City, Sindh, Pakistan
Machine Learning
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI · Enterprise SaaS

Description For ML Engineer

Beam is a tech start-up revolutionizing business operations with AI. Our AI Agents empower organizations by automating repetitive tasks, boosting productivity in seconds. With seamless integration into business applications, our agents provide support where teams need it most. Our mission is to transform business practices, increase efficiency, improve competitiveness, and scale operations globally.

As a Machine Learning Engineer at Beam, you will play a key role in developing, optimizing, and deploying machine learning models that drive Beam's AI-Agents. Your responsibilities will focus on prompt engineering and model fine-tuning, leveraging advanced transformer models to ensure optimal performance, accuracy, and efficiency. We are looking for someone who is passionate about building great products, has strong leadership skills, and is comfortable working in a fast-paced, startup environment.

Key responsibilities include:

  • Assist in developing and implementing AI-driven solutions, supporting projects from concept to deployment.
  • Contribute to research and prototyping by experimenting with machine learning models to solve specific tasks and enhance platform features.
  • Collaborate with senior engineers, Product Owners, and Software Engineers to understand project requirements and contribute to creating technical specifications.
  • Support the implementation and testing of APIs that integrate machine learning models and data processing components.
  • Participate in the maintenance of ML infrastructure, tools, and frameworks to ensure the scalability and reliability of our AI solutions.
  • Apply prompt engineering techniques and develop a foundational understanding of transformer models to support agent capabilities.
  • Help monitor and evaluate AI model performance using relevant metrics, iterating on designs as needed under guidance from senior team members.
  • Contribute to optimizing backend system performance to enhance the user experience.
  • Stay updated on advancements in AI and machine learning, and actively participate in team knowledge-sharing sessions.

At Beam, we foster a culture of ownership and growth, giving you the freedom to take charge of your work and make a meaningful impact on the future of AI. As part of a highly collaborative, fast-paced startup, you'll have the opportunity to work at the forefront of AI innovation, designing and building solutions that address real-world business challenges.

Last updated a month ago

Responsibilities For ML Engineer

  • Develop and implement AI-driven solutions
  • Contribute to research and prototyping with machine learning models
  • Collaborate with senior engineers, Product Owners, and Software Engineers
  • Support implementation and testing of APIs for machine learning models
  • Maintain ML infrastructure, tools, and frameworks
  • Apply prompt engineering techniques and understand transformer models
  • Monitor and evaluate AI model performance
  • Optimize backend system performance
  • Stay updated on AI and machine learning advancements

Requirements For ML Engineer

Python
TypeScript
JavaScript
Node.js
PostgreSQL
MySQL
MongoDB
  • Bachelor's degree in Computer Sciences, Software Engineering, Data Sciences, or a related field
  • 2 to 4 years of experience in a Machine Learning Engineer, AI Engineer, or similar role
  • Proficiency and strong command on Python
  • Familiarity and knowledge of RAG, LangChain, LlamaIndex, and Vector databases
  • In-depth familiarity and experience with SQL databases, specifically in PostgreSQL or MySQL
  • Strong understanding of prompt engineering and fine-tuning LLMs for specific applications
  • Commitment to transitioning into advanced ML domains

Benefits For ML Engineer

Equity
  • Ownership and autonomy in projects
  • Personal and professional growth opportunities
  • Working with cutting-edge AI technologies
  • Competitive salary and stock options
  • Comprehensive benefits package
  • Collaborative startup environment

Interested in this job?

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