RAJKOT · FULLTIME
AI Engineer / Machine Learning Engineer
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Rajkot · onsite · Posted 51d ago
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Section · 01
About this role
Key Responsibilities
Model Development: Design, develop, and deploy Machine Learning (ML) and Deep Learning models.
Data Engineering: Clean, analyze, and preprocess large datasets to ensure high-quality input for AI models.
NLP & Computer Vision: Implement Natural Language Processing (NLP) tools and Computer Vision algorithms based on project requirements.
Integration: Collaborate with Frontend and Backend developers to integrate AI models into web and mobile applications.
Optimization: Continuously monitor and fine-tune existing models to improve accuracy and performance.
Research: Stay updated with the latest AI trends, frameworks, and research papers to keep the company competitive.
Required Skills & Qualifications
Education: Bachelor's/Master's degree in Computer Science, Data Science, or a related field.
Programming: Mastery in Python (most critical), R, or Java.
AI Frameworks: Strong experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
Cloud Platforms: Familiarity with AWS (SageMaker), Azure AI, or Google Cloud AI Platform.
Databases: Proficiency in SQL and NoSQL (MongoDB, Pinecone for vector search).
Mathematics: Strong understanding of Linear Algebra, Calculus, and Statistics.
Generative AI (Bonus): Knowledge of LLMs (Large Language Models) like GPT-4, Llama, and prompt engineering is a huge plus.
Soft Skills
Problem-Solving: Ability to break down complex business problems into technical AI tasks.
Communication: Ability to explain technical AI concepts to non-technical clients and team members.
Adaptability: Willingness to learn new tools in the rapidly evolving AI landscape.
Model Development: Design, develop, and deploy Machine Learning (ML) and Deep Learning models.
Data Engineering: Clean, analyze, and preprocess large datasets to ensure high-quality input for AI models.
NLP & Computer Vision: Implement Natural Language Processing (NLP) tools and Computer Vision algorithms based on project requirements.
Integration: Collaborate with Frontend and Backend developers to integrate AI models into web and mobile applications.
Optimization: Continuously monitor and fine-tune existing models to improve accuracy and performance.
Research: Stay updated with the latest AI trends, frameworks, and research papers to keep the company competitive.
Required Skills & Qualifications
Education: Bachelor's/Master's degree in Computer Science, Data Science, or a related field.
Programming: Mastery in Python (most critical), R, or Java.
AI Frameworks: Strong experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
Cloud Platforms: Familiarity with AWS (SageMaker), Azure AI, or Google Cloud AI Platform.
Databases: Proficiency in SQL and NoSQL (MongoDB, Pinecone for vector search).
Mathematics: Strong understanding of Linear Algebra, Calculus, and Statistics.
Generative AI (Bonus): Knowledge of LLMs (Large Language Models) like GPT-4, Llama, and prompt engineering is a huge plus.
Soft Skills
Problem-Solving: Ability to break down complex business problems into technical AI tasks.
Communication: Ability to explain technical AI concepts to non-technical clients and team members.
Adaptability: Willingness to learn new tools in the rapidly evolving AI landscape.
Sourced from foundit
Section · 02
Skills
Google Cloud AI PlatformAws SagemakerNoSQLLlamalinear algebraCalculusAzure AikerasrstatisticsGPT-4Large Language Models (LLMs)PytorchTensorflowScikit-LearnPythonPinecone DBMongoDBSQLJava