Principal/Staff Machine Learning Engineer

1 week ago

Islamabad, Islamabad, Pakistan 10Pearls 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 ofdeveloping 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
  • 5+ years of experience in machine learning and deep learning, with a focus on generative AI and large language models
  • Experience with NLP and text generation models such as GPT, Gemini, LLaMA, or BERT
  • Experience with LLamaIndex or Langchain for efficient indexing and retrieval of large language model data, optimizing the performance of generative AI systems
  • Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Experience with cloud platforms, specifically AWS (SageMaker & Bedrock), GCP (Vertex AI), and Azure (Machine Learning)
  • Knowledge of MLOps tools and practices, including CI/CD, model versioning, and deployment automation
  • Demonstrated ability to lead and mentor a team of machine learning engineers
  • Solid understanding of data structures, algorithms, and software engineering principles
  • Proficiency in data modeling, data pipeline development, and big data technologies
  • Track record of innovation and thought leadership in the field of AI, evidenced by publications, patents, or conference presentations
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
  • Commitment to continuous learning and staying current with the latest ML research and technologies

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