About Us:
At Kesarweb, we are dedicated to innovation and excellence in technology. Our team is committed to pushing the boundaries of what's possible, and we're looking for a talented Machine Learning Engineer to join us on this exciting journey. If you're passionate about building intelligent systems that solve real-world problems, Kesarweb is the place for you.
Job Overview:
As a Machine Learning Engineer at Kesarweb, you will be responsible for designing, developing, and deploying machine learning models that enhance our products and services. You'll collaborate with cross-functional teams to understand business needs, extract insights from data, and implement solutions that drive business growth.
Key Responsibilities:
- Design and implement machine learning models to solve business challenges.
- Develop algorithms for data analysis, pattern recognition, and prediction.
- Collaborate with data scientists, engineers, and product teams to integrate ML models into production systems.
- Optimize and improve the performance of existing machine learning models.
- Stay updated with the latest trends and advancements in machine learning and AI technologies.
- Conduct experiments, evaluate, and iterate on models to improve accuracy and effectiveness.
- Document processes, models, and results clearly and effectively.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Strong understanding of machine learning algorithms, data structures, and data modeling.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with ML frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Strong problem-solving skills and the ability to work independently or as part of a team.
- Excellent communication skills, both written and verbal.
Preferred Qualifications:
- Experience with big data technologies like Hadoop or Spark.
- Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with natural language processing (NLP), computer vision, or deep learning techniques.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technologies and projects.
- A collaborative and innovative work environment.
- Professional growth and development opportunities.