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Were Hiring: Data Scientist / Machine Learning Engineer
Are you passionate about leveraging data to drive impactful decisions
Do you thrive on building scalable AI solutions and solving complex problems If so, we want YOU to join our team as a Data Scientist / Machine Learning Engineer!
Join our team and lead the development of a decision support system and contribute to various data-driven projects. You will play a key role in analyzing structured and unstructured data, building machine learning models, and optimizing business decision-making processes.
The ideal candidate has a strong background in data science and machine learning and is eager to work on different projects across industries. You should be comfortable working with a variety of tools, frameworks, and data sources to deliver scalable and explainable AI solutions.
Experience Level: Mid-Senior Level
What Youll Do:
As a Data Scientist / Machine Learning Engineer, youll play a pivotal role in developing cutting-edge decision support systems and contributing to data-driven projects across industries. Your responsibilities will include:
What Were Looking For:
Bachelors in Data Science, Computer Science, Statistics, or a related field.
3+ years of experience in data science, predictive modeling, and AI applications.
Strong programming skills in Python (Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch) or R.
Experience with SQL and NoSQL databases for data retrieval and storage.
Proven ability to design and implement ML models, from development to deployment.
Familiarity with data visualization tools like Matplotlib, Seaborn, Power BI, or Tableau.
Strong analytical and problem-solving skills.
Why Join Us
Work on diverse, high-impact projects across industries.
Be part of a collaborative and innovative team.
Access to cutting-edge tools and technologies.
Opportunities for professional growth and development.
Ready to Apply
If youre ready to make a difference with data and AI, wed love to hear from you!
Lets build the future of AI together!
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Date Posted: 04/02/2025
Job ID: 105042079