Machine Learning Engineer vacancy in Khanpur Pakistan

Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team in Khanpur. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex problems in various industries. You will work closely with data scientists, software engineers, and other team members to create innovative solutions using cutting-edge technologies.

Responsibilities:
- Design and build machine learning models and algorithms to solve business problems
- Develop and implement data collection processes to support machine learning model development
- Collaborate with cross-functional teams to identify business needs and devise appropriate solutions
- Conduct data analysis, feature engineering, and model evaluation to improve the performance of existing models
- Continuously research and stay updated on the latest advancements in machine learning techniques
- Communicate complex technical concepts to non-technical stakeholders effectively

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Minimum of 2 years of experience as a Machine Learning Engineer or similar role
- Strong understanding of machine learning techniques such as deep learning, natural language processing, and computer vision
- Proficiency in programming languages such as Python, R, or Java
- Experience with machine learning libraries such as TensorFlow, Keras, or PyTorch
- Knowledge of data processing tools like SQL, Spark, or Hadoop
- Excellent problem-solving skills and ability to think creatively
- Strong communication skills and ability to work in a fast-paced team environment

Salary: $1100 per month (negotiable based on experience)

Location: Khanpur (accommodation provided)

This is a contract job open for all genders. Having a biometric passport is preferred but not mandatory.

If you are passionate about using your skills in machine learning to make an impact on real-world problems, we would love to hear from you. Join our dynamic team of professionals and be a part of our exciting journey towards innovation and growth.