Description

Experience: 5–7 years
Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
Design and develop scalable AI/ML models and algorithms.
Build data preprocessing, feature engineering, and model training pipelines.
Deploy machine learning models into production and monitor performance.
Improve existing models using feedback and new data.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Document development processes and provide technical guidance to junior engineers.

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬
Strong hands-on experience in AI/ML engineering.
Proficiency in Python, Java, or Scala.
Experience with TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of data structures, algorithms, and software design principles.
Experience deploying AI/ML solutions on AWS, Azure, or Google Cloud.
Knowledge of SQL, NoSQL databases, and data warehousing.
Excellent analytical and problem-solving skills.

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
Full-stack development experience.
DevOps practices and CI/CD pipelines.
Big data technologies such as Hadoop and Spark.
Natural Language Processing (NLP) or Computer Vision.
Strong communication and collaboration skills.
Ready to turn your AI/ML expertise into business impact?

Key Skills

Education

Any Graduate