- Company Name
- Auma
- Job Title
- AI Engineer, Tech Startup
- Job Description
-
Role Overview
As an AI Engineer, you’ll develop and implement advanced machine learning and AI solutions that power cutting-edge applications. Collaborating with interdisciplinary teams, you'll design, train, and deploy models that solve complex problems, enhance user experiences, and drive business innovation.
Key Responsibilities
Develop AI Models: Design, train, and deploy machine learning models tailored to solve business problems or enhance product capabilities.
Data Analysis and Preparation: Clean, preprocess, and analyze large datasets to enable effective model training and evaluation.
Deploy and Optimize Solutions: Build scalable AI systems, integrating models into production environments while ensuring optimal performance and reliability.
Collaborate Across Teams: Work closely with data scientists, engineers, and product managers to align AI solutions with business objectives.
Research and Experiment: Explore and evaluate emerging technologies, frameworks, and algorithms to enhance current systems or create new capabilities.
Monitor and Improve Models: Continuously evaluate model performance and refine them based on feedback and changing requirements.
Document and Communicate Findings: Create detailed documentation for processes, models, and results, sharing insights with technical and non-technical stakeholders.
Key Requirements
Experience: Proven experience in AI/ML development, with specific expertise in working with large language models (e.g., OpenAI GPT, LLaMA, Hugging Face Transformers).
Technical Skills: Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong foundation in data structures, algorithms, and statistics.
Experience with natural language processing (NLP), computer vision, or recommendation systems.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for deploying AI solutions.
Understanding of data pipeline tools like Apache Spark, Kafka, or Airflow.
Soft Skills: Excellent problem-solving skills, communication abilities, and adaptability to fast-paced environments.
Bonus Skills
Experience with federated learning, reinforcement learning, or edge AI.
Knowledge of tools like Hugging Face, OpenAI APIs, or similar.
Familiarity with MLOps practices, including CI/CD pipelines for AI systems.
Experience working in startup environments.
What We Offer
A unique opportunity to be matched with client startups aligned with your skills, career aspirations, and interests.
Opportunities to work on impactful projects leveraging cutting-edge AI technologies.
Access to a network of innovative startups and tech leaders.
Potential for professional growth and learning in dynamic, high-impact teams.
