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    Principal/staff machine learning engineer - Islamabad, Pakistan - 10pearls, Llc

    10pearls, Llc
    10pearls, Llc Islamabad, Pakistan

    2 months ago

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    Description
    Company Overview:10 Pearls 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.

    10 Pearls 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 machine learning models, specializing in computer vision and large language models (LLMs).

    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. Drive the adoption of best practices in machine learning engineering and model lifecycle management. 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 in developing machine learning models, with a strong portfolio in computer vision and LLMs. Expertise in deep learning frameworks such as Tensor Flow, Py Torch, or Keras.

    Strong programming skills in Python and familiarity with ML development tools and libraries Experience with cloud computing platforms (AWS, GCP, Azure) and ML deployment tools using Sage Maker, Bedrock, Vertex AI.

    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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