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Principal/Staff Machine Learning Engineer

4 weeks ago

Karachi, Sindh, Pakistan 10Pearls, LLC Full time

Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cyber security, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.

Requirements

We are looking for a Principal/Staff Machine Learning Engineer. The ideal candidate should have a Master's degree in Computer Science with 5 – 8 years of developing machine learning models, with a strong portfolio in Computer Vision and LLMs.

Responsibilities

  • Lead the design, development, and deployment of generative AI models, large language models, and retrieval-augmented generation systems.
  • Conduct cutting-edge research in AI, contributing to advancements in image and video analysis, object detection, segmentation, and NLP.
  • Collaborate with product teams to integrate AI/ML technologies into new and existing products.
  • Develop and implement machine learning algorithms and models using state-of-the-art techniques and best practices.
  • Optimize models for performance, scalability, and efficiency on cloud platforms.
  • Implement MLOps practices to streamline the machine learning lifecycle, including model training, deployment, monitoring, and maintenance.
  • Mentor and lead a team of machine learning engineers, fostering a culture of technical excellence.
  • Optimize machine learning workflows for improved model performance and efficiency.
  • Develop and maintain robust data pipelines for model training and inference at scale.
  • Implement rigorous model testing and validation to ensure high-quality deployments.
  • Contribute to the company's intellectual property through innovative research, patents, and publications.
  • Work closely with cross-functional teams, including data scientists, analysts, and other developers, to understand data requirements and implement effective solutions.
  • Stay abreast of industry trends and emerging technologies in AI to maintain a competitive edge.
  • Communicate technical concepts effectively to stakeholders and influence strategic decisions with ML insights.

Requirements

  • Advanced degree (Ph.D. or Master's) in Computer Science, Machine Learning, or a related field
  • Proven experience with Amazon Personalize setup, configuration, optimization, and implementation of recommendation use cases.
  • Strong hands-on experience with AWS SageMaker, including training and deploying custom machine learning models.
  • Proficiency in developing recommendation systems using techniques like collaborative filtering, deep learning, and reinforcement learning.
  • Experience with data pipeline development (ETL/ELT) for capturing user behavior, video viewership, and conversion data.
  • Ability to design and deploy real-time, low-latency inference endpoints using AWS services such as Lambda and API Gateway.
  • Tools & Technologies
  • AWS ecosystem (SageMaker, Personalize, Lambda, API Gateway)
  • Data engineering tools and scripting (e.g., Python, SQL)
  • ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Monitoring and visualization tools (e.g., CloudWatch, dashboards)
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