AI developer

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