AI/ML Developer

0-3 Years Experience

Location : Rajkot (Apply only if your current location is Rajkot)

Job Description
  • Design and implement ML models: Analyze business needs, select appropriate algorithms and data sets, train and evaluate models for accuracy and efficiency.
  • Develop and integrate ML applications: Write high-quality code to integrate models into production systems, ensuring scalability and performance.
  • Develop and manage data pipelines: Automate data ingestion, preprocessing, and feature engineering for model training and evaluation.
  • Monitor and optimize ML models: Track performance metrics, identify and address issues, and fine-tune models for improved accuracy and efficiency.
  • Stay up-to-date with the latest AI/ML trends: Participate in research, attend conferences, and actively learn about emerging technologies and best practices.
  • Collaborate effectively: Work closely with data scientists, engineers, and other team members to design, develop, and deploy AI solutions.
  • Communicate effectively: Document your work clearly and concisely, present findings to stakeholders, and explain complex technical concepts in layman’s terms.
Skills Required
  • Strong proficiency in Python (including libraries like NumPy, pandas, Scikit-learn)
  • Deep understanding of machine learning algorithms, deep learning architectures and concepts
  • Experience with popular ML frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Familiarity with statistical analysis and data manipulation techniques
  • Solid software development skills (e.g., object-oriented programming, version control)
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skill
  • Ability to work independently and manage multiple tasks simultaneously
  • Experience with natural language processing (NLP) or computer vision (CV)
  • Primary Programming Language: Python
  • Machine Learning Frameworks: TensorFlow, PyTorch, Keras
  • Data Manipulation Libraries: Pandas, NumPy, Scikit-learn
  • Additional Tools: (Cloud platform, Version control system, Database, etc.)
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