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Machine Learning Expert
1 day ago
Sigma Industry Development is a forward-thinking organization dedicated to harnessing the power of technology to drive positive change. Our mission is to empower innovation and foster a culture of continuous learning.
We are passionate about tackling complex challenges and developing cutting-edge solutions that make a real impact. Our team is comprised of talented individuals who share a common vision and are driven by a desire to push boundaries and achieve excellence.
Job DescriptionData Scientist/Machine Learning Engineer Role
We are seeking an exceptional Data Scientist/Machine Learning Engineer to join our team. As a key member of our data science team, you will play a pivotal role in designing and implementing advanced machine learning models that drive business growth and improve decision-making.
Your primary responsibilities will include:
- Developing and deploying predictive models that accurately forecast trends and outcomes
- Designing and implementing data pipelines that efficiently collect, process, and analyze large datasets
- Collaborating with cross-functional teams to integrate data-driven insights into business strategies
- Staying up-to-date with emerging technologies and best practices in machine learning and AI
Requirements and Qualifications
To be successful in this role, you will need:
- A Master's degree in Computer Science, Applied Physics, or Mathematics
- At least 5 years of experience working as a Data Scientist/Machine Learning Engineer
- Proficiency in programming languages such as Python or R
- Experience with big data processing tools like Hadoop and Apache Spark
- Familiarity with SQL and NoSQL databases
- Strong communication and collaboration skills
Benefits
We offer a comprehensive benefits package that includes:
- TGL Group Life Insurance
- Cellphone and subscription
- Additional life & accidents insurance
- Parental salary subsidy
- Wellness contribution
About Us
Sigma Industry Development is a company that values teamwork, diversity, and continuous learning. We believe in creating a work environment that is inclusive, supportive, and challenging. If you are passionate about making a difference and driving innovation, we would love to hear from you
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