Job Description
AI Model Integration: Work with APIs from OpenAI, Gemini AI, and other LLMs to streamline their implementation in real-world applications.
Training Optimization: Fine-tune and optimize model training using custom datasets for improved efficiency and accuracy.
Data Pooling & Processing: Build and manage data pipelines, ensuring structured and unstructured data is efficiently processed and utilized.
Scalability & Performance: Implement techniques to improve AI model inference speed, reduce latency, and optimize resource utilization.
ML Engineering: Develop, deploy, and monitor machine learning models in production environments.
Evaluation & Benchmarking: Regularly assess model performance, experiment with hyperparameter tuning, and leverage reinforcement learning to enhance AI responses.
Collaboration: Work closely with developers and product teams to align AI capabilities with business objectives.
Security & Compliance: Ensure AI models adhere to ethical AI practices, privacy laws, and data security standards.
Eligibility
Strong Programming Skills: Proficiency in Python, TensorFlow/PyTorch, and SQL.
AI & ML Expertise: Experience in integrating LLMs, training deep learning models, and optimizing AI pipelines.
Data Engineering: Hands-on experience with data wrangling, ETL pipelines, and cloud databases.
Cloud & APIs: Knowledge of deploying AI solutions on AWS, GCP, or Azure, and working with RESTful/GraphQL APIs.
Performance Optimization: Experience in model quantization, pruning, and deploying AI models at scale.
Experience with AI Services: Prior work with OpenAI, Gemini AI, Claude, Llama, or similar models is a plus.
Problem-Solving Ability: Strong analytical and debugging skills to improve AI-driven applications.
Nice to Have:
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI.
Experience with Vector Databases (Pinecone, FAISS, Weaviate).
Understanding of WebRTC AI processing and voice-based AI assistants.
Background in AI personalization and reinforcement learning.
About Company
One Step Close to the Market. We believe that an accelerated build with a robust base is a deadly combo to hit the market. We take pride ourselves in seeing the job from start to finish, as we progress from an idea stage to execution, to final rollout, with required maintenance and support. Our invaluable experience in varied industries allows us to build only the best digital products, and to create a product that works and has been prioritized as per timeline, budget, and most urgent needs, while always keeping the client in the loop.
https://leafcraft.co/