Senior Machine Learning Engineer for Cutting-Edge AI Startups
hace 5 horas
Are you a talented machine learning engineer looking to join a dynamic team at the forefront of AI innovation? We are seeking an exceptionally skilled Senior Machine Learning Engineer to lead the development of scalable machine learning systems and transform business ideas into actionable technical solutions.
About the RoleWe are currently seeking a highly experienced Machine Learning Engineer to join our technical team. You will be responsible for end-to-end ownership of machine learning systems, from data pipelines to model training and analysis in a production environment. You will be working closely with our CEO to build the next generation of AI tech companies.
Main Responsibilities:- Design and Develop Production-Ready Solutions: Lead the development of new machine learning models focused on transforming a wide variety of datasets and use cases into actionable insights.
- Collect, Process, and Analyze Data: Understand and analyze data as a critical component of our machine learning projects. Build pipelines and processes for data cleaning and organization, and develop tools to facilitate data analysis.
- Stay Current with Advances in Machine Learning and Generative AI: Keep up-to-date with the state of the art in machine learning and generative AI. Continuously integrate relevant advancements into our models and workflows to maintain a cutting-edge technological edge.
- Experience: Minimum of 3 years of professional experience in designing, training, and deploying machine learning models.
- Technical Expertise:
- Strong foundation in computer science, including data structures, algorithms, and design patterns.
- Expertise in Python, demonstrated by implementing multiple medium to large-scale projects.
- Proven ability to implement and debug machine learning models.
- Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, PyTorch, MLFlow).
- Experience in setting up data pipelines.
- Experience in developing RESTful APIs.
- Proficiency in cloud platforms (AWS, GCP) and containerization technologies.
- Industry experience with relational databases, SQL, and NoSQL tools.
- Experience with commercial and open-source Large Language Models (LLMs) and frameworks such as LangChain and LlamaIndex.
- Education: Bachelor's degree in Computer Science, Mathematics, or a related field.
- Nice to Haves:
- Experience with agentic frameworks such as LangGraph and crewAI.
- Experience designing and deploying retrieval augmented generation (RAG) systems into production.
- Research experience in machine learning or artificial intelligence.
- Contributions to open-source machine learning projects.
- Experience with Agile development methodologies.
- Master's or Ph.D. degree in a relevant field is a plus.
- Soft Skills:
- Excellent communication skills with the ability to engage in in-depth technical discussions with both engineering teams and business stakeholders.
- Proficiency in English.
- Self-starter with the ability to work comfortably in an early-stage environment.
At AI Fund, we offer a competitive salary range of $180,000 - $250,000 per year, depending on experience, and provide a comprehensive benefits package. If you're passionate about machine learning and AI, and want to be part of a dynamic team that's shaping the future of technology, please submit your application.
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