Senior Machine Learning Engineer

A well-funded SaaS startup, boasting an exceptional AI-driven product, is on the hunt for a creative and highly skilled Machine Learning Engineer to enhance our team. At the core of our groundbreaking product is Generative AI, which fuels and propels our entire pipeline. As a Machine Learning Engineer, you'll be instrumental in crafting, developing, and deploying Generative AI solutions that tackle diverse business challenges. Collaborating closely with various team members, you'll leverage AI's transformative power to elevate our products and services.

‍Key Responsibilities

• AI Solution Development
• Research, design, and develop AI-driven applications, algorithms, and models to address complex business problems and enhance operational processes.
• Data Analysis
• Collect, preprocess, and analyze data to extract valuable insights and patterns that can be leveraged to develop innovative AI solutions.
• Integration
• Collaborate with other team members to integrate AI components seamlessly into existing systems or develop new AI-driven applications.
• Performance Optimization
• Continuously monitor and optimize AI models for efficiency, scalability, and robustness to meet the evolving needs of the business.
• Research and Innovation
• Stay up-to-date with the latest developments in AI, machine learning, and related fields, exploring how emerging technologies can be applied to improve products and services.
• Testing and Validation
• Conduct thorough testing and validation of AI solutions to ensure they meet business requirements and adhere to quality standards.
• Collaboration
• Collaborate with cross-functional teams, including data scientists, engineers,
• and business stakeholders, to gather requirements and deliver AI solutions that align with business objectives.

Qualifications:

• Bachelor's degree or higher in Computer Science or a related field.
• 5 years of proven experience in building AI solutions.
• Proficient in Python with robust programming skills.
• Solid understanding of Data Science, Statistics, and data analysis techniques.
• Excellent problem-solving abilities, coupled with a creative and strategic mindset.
• A collaborative team player with exceptional communication skills.
• Prior experience with Natural Language Processing (NLP) challenges.
• Prior experience with Large Language Model (LLM) applications - An advantage.
• Prior experience with GCP environment - An advantage.