Job Description & How to Apply Below
We are looking for an Artificial Intelligence and Machine Learning Engineer with 2 to 7 years of experience with python technology, who will be responsible for leveraging AI, NLP, NLU, LLM, and Generative AI technologies to create innovative products.
The ideal candidate should have a strong background in machine learning and artificial intelligence with hands-on experience in building scalable and reliable AI-based products.
Key Responsibilities:
Design and develop machine learning models to solve complex business problems using AI,NLP, NLU, LLM, and Generative AI technologies.
Develop and implement algorithms for data processing, feature extraction, and model training.
Collaborate with cross-functional teams to identify business requirements and create solutions that meet those requirements.
Identify and evaluate new AI technologies and tools that can improve the performance and efficiency of our products.
Manage and mentor a team of AI and Machine Learning Engineers.
Ensure that the products are delivered on time, meet quality standards, and are scalable.
Communicate technical solutions and results to non-technical stakeholders.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology or related fields
2 to 7 years of experience in machine learning and artificial intelligence.
Hands-on experience in building and deploying AI-based products using NLP, NLU, LLM, and Generative AI technologies.
Strong hands on experience in Object Oriented Programming System, Python , FastAPI , Generative AI Prompting .
Experience in containerisation (docker), Jenkins.
Experience in leading and managing a team of AI and Machine Learning Engineers.
Experience in AWS AI Services would be an added advantage.
Excellent problem-solving skills with the ability to think creatively and critically.
Strong communication and presentation skills with the ability to communicate technical solutions to non-technical stakeholders.
Experience in Agile development methodologies and project management.
If you are passionate about leveraging AI technologies to create innovative products and have a strong background in machine learning and artificial intelligence, we encourage you to apply for this exciting opportunity.
Key Requirements:
Agentic Frameworks: Lang Chain, Multi-agent systems, Episodic memory, Semantic memory, tool orchestration.
Vector Databases / RAG: Vector DB (Anyone), Embeddings, Hybrid search (semantic + keyword), Chunking, Context window optimization, Metadata filtering, Hybrid pipelines.
LLMs / GenAI: Prompt engineering, Fine-tuning, LoRA, PEFT, Guardrails, Context window.
Infrastructure: AWS (S3, Lambda, ECS, EKS, Sage Maker), Docker, CI/CD pipelines (Jenkins, Git Hub Actions), Model serving (FastAPI), Secrets management (AWS Secrets Manager), GPU acceleration (CUDA).
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