Principal/Staff Machine Learning Engineer (Generative AI + LLM)
Full time
na 10Pearls
no
Pakistan
Publicado em May 8, 2024
Detalhes do emprego
Save this job with your existing LinkedIn profile, or create a new one.
Save this job with your existing LinkedIn profile, or create a new one.
Your job seeking activity is only visible to you. EmailWelcome back
Sign in to save Principal/Staff Machine Learning Engineer (Generative AI + LLM) at 10Pearls . 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. 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
- 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
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Internet Publishing
Software Engineer, Fresh or Recent Graduate
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-LjbffrApply safely
To stay safe in your job search, information on common scams and to get free expert advice, we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organization working to combat job scams.