LeewayHertz · 1 day ago
Machine Learning Engineer–Remote India
San Francisco, CA
Full-time
Remote
Entry, Mid Level
2+ years exp
Maximize your interview chancesArtificial Intelligence (AI)Augmented Reality
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Responsibilities
Design and develop generative AI models, focusing on natural language processing and understanding.
Implement and fine-tune LLMs using platforms such as Hugging Face Transformers.
Explore and integrate advanced AI techniques in areas like LangChain for improved interaction and functionality.
Develop and maintain scalable and efficient model training and inference systems.
Work with vector databases to manage, query, and utilize large datasets effectively.
Collaborate with cross-functional teams to understand business requirements and deliver robust AI solutions.
Stay updated with the latest developments in AI/ML technologies and methodologies.
Document and present model development processes, results, and decisions.
Qualification
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Required
Bachelor's degree in Engineering (BE/B.Tech-CS/IT) or a Master's degree in Computer Applications (MCA) or an equivalent qualification.
At least 2 years of proven experience in AI/ML engineering, particularly with generative AI and large language models.
Strong programming skills in Python and familiarity with AI/ML libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Experience with LangChain and its applications in AI-driven interactions.
Proficiency in working with large language models (LLMs) like LLaMA and their fine-tuning for various applications.
Knowledge of retrieval-augmented generation (RAG) techniques for optimizing AI-driven solutions.
Familiarity with vector databases and their applications in handling large datasets.
Ability to work with complex data structures and algorithms.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Benefits
Flexibility of working remotely in India.
Company
LeewayHertz
LeewayHertz is one of the first few companies to build and launch a commercial app on Apple's App Store.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2024-09-16Acquired
Leadership Team
Akash Takyar
CEO
Recent News
2024-01-31
Company data provided by crunchbase
