Overview
We are looking for a AI Engineer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
Required Skills:
1-4 Years of experience in the following Skillsets
Proficiency in Programming language: Python
Pandas,NumPY: Good knowledge in handling libraries in Python like Pandas, NumPy for data manipulation and analysis
Fast/Flask/Django: Realtime experience in either one of the Frameworks on writing Rest APIs development
Pinecone/Chroma/Mistral/MongoDB: Hands-on experience in NOSQL/Vector Database: Hands-on experience in either one of the database
GPT-4, LLaMA, Claude, PaLM: Proficiency in utilizing SDKs/APIs of leading LLM(large language models)
Experience in Generative AI models Prompting, Training, fine-tuning and inferencing
Experience in different learnings like Reinforcement, Zero shot, Few-shot learning etc..
Familiar in working with Langchain frameworks and libraries.
Experience with Hugging Face Transformers, including model download, optimization, training, and deployment.
Airflow: Experience in Orchestration data tools
AWS/GCP/Azure: Deployment experience in either one of the Cloud Services
Knowledge in ML tooling – Sagemaker/Bedrocks/Vertex AI
MLOps: Familiarity with machine learning operations (MLOps) for model lifecycle management, version control, and CI/CD pipelines for AI.
Knowledge in Git, Agile, and DevOps development.
Basic knowledge in iOS application development and deployment.
Basic knowledge in Hybrid application development.
Job Responsibilities:
Implement generative AI models for conversational agents, chatbots, and other AI-driven Agents.
Design, develop, and fine-tune large language models (e.g., GPT-4, LLaMA, Claude) for building AI agents.
Develop, test, and optimize prompts to enhance the performance and accuracy of AI agent responses.
Utilize MLOps tools for continuous integration/continuous deployment (CI/CD) of deploy the AI models & monitoring