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Codemancers

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5.0

based on 2 Reviews

4 Codemancers Jobs

AI Engineer

Codemancers

5.0

based on 2 Reviews

3-5 years

Bangalore / Bengaluru

1 vacancy

AI Engineer

Codemancers

posted 2mon ago

Job Role Insights

Key skills for the job

Data Analysis Python Artificial Intelligence Machine Learning Javascript Computer Vision

+ 4 more

Job Description

We are seeking a skilled and motivated AI Engineer with 3-5 years of experience to join our team. The ideal candidate will have a solid foundation in machine learning (ML), deep learning (DL), and artificial intelligence (AI), with expertise in developing, deploying, and optimizing LLM (Large Language Model) applications. You will collaborate with cross-functional teams to deliver cutting-edge, AI-driven solutions tailored to real-world challenges.

Key Responsibilities:

Design, develop, and deploy LLM-based applications.
Build Retrieval-Augmented Generation (RAG) solutions to enhance LLM capabilities.

Conduct experiments to validate hypotheses and improve application performance and accuracy.

Collect, clean, and pre-process both structured and unstructured data.

Perform Exploratory Data Analysis (EDA) to uncover trends and actionable insights.

Monitor and ensure stability, scalability, and accuracy of deployed AI solutions.

Continuously refine applications based on user feedback and evolving requirements.

Work closely with data engineers, software developers, and business stakeholders to translate requirements into AI-driven solutions.

Maintain comprehensive documentation for workflows, technical designs, and processes.
Present findings and recommendations effectively to both technical and non-technical stakeholders.

Requirements

Proficiency in Python, R, or JavaScript for AI/ML development and LLM applications.
Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Solid understandings of data structures, algorithms and statistical methods.
Strong knowledge in Natural Language Processing (NLP), Computer Vision (CV), or Reinforcement Learning (RL).