Experience – 0 to 3 years.

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)

Qualification

• 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.)