Epicareer Might not Working Properly
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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Senior Data Scientist

Salary undisclosed
Checking job availability...
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Simplified

What are we looking for:

Educational Background: Degree in STEM or a related field (Master’s degree is a plus). Candidates with non-linear academic backgrounds but possessing strong skills and proven work experience in Data Science, AI, or related fields are equally encouraged to apply.

Experiences: Minimum of 3 years in data science, AI, ML, or a related role. Candidates with diverse career paths or prior experience in adjacent fields, such as engineering, software development, or applied research, are also welcome with related experiences.

Qualifications:

  1. Strong proficiency in developing and deploying AI/ML models, with expertise in areas such as Machine Learning, Natural Language Processing, Computer Vision, or Reinforcement Learning.
  2. In-depth understanding of both discriminative and generative AI algorithms and architectures.
  3. Expertise in prompt engineering and cutting-edge AI tools/frameworks.
  4. Proven experience designing and implementing end-to-end AI/ML pipelines for production environments.
  5. Familiarity with large language models (LLMs) and their applications.
  6. Strong programming skills in Python, including expertise in data analysis libraries (Pandas, NumPy, Scikit-learn).
  7. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
  8. Proficient in SQL for data extraction and analysis.
  9. Working knowledge of cloud platforms, preferably Google Cloud Platform (GCP).
  10. Experience with data pipelines, ETL processes, and MLOps practices.
  11. Experience of deployment frameworks (e.g., FastAPI, Streamlit) and containerization (e.g., Docker).

Preferred Qualifications:

  1. Familiarity with GCP AI/ML services (e.g., Vertex AI) and advanced AI technologies like RAG (Retrieval-Augmented Generation), vector databases, and document embeddings.
  2. Strong communication skills to explain technical concepts to technical and non-technical stakeholders.
  3. Demonstrated experience working in cross-functional teams and aligning AI initiatives with organizational goals.
  4. Leadership/participation in organizations (e.g., campus, NGOs, or professional groups such as DSI, DEI, FIM, YLI, etc.) showcasing organizational and team-building skills.
  5. Proven ability to publish, present, or share technical insights through blogs, social media platforms, or conferences, contributing to team branding and personal growth.
  6. Actively pursuing or possessing official certifications in AI/ML, data science, or cloud platforms (e.g., TensorFlow Developer Certificate, Google Cloud Professional Certification) or completion of recognized professional courses.

What will you do:

  1. Collaborate closely with product, design, engineering, and business teams to understand data needs and develop AI solutions.
  2. Research and develop advanced AI/ML models, including prototypes for complex business problems.
  3. Implement and maintain AI/ML solutions for processes like document verification, credit scoring, and chatbot development.
  4. Optimize and scale existing AI/ML models and workflows in production environments.
  5. Lead AI/ML initiatives focusing on innovative technologies such as OCR engines and LLMs.
  6. Document AI models, processes, and solutions to ensure reproducibility and knowledge sharing.
  7. Drive the adoption of best practices in MLOps, including deployment, monitoring, and retraining of models.
  8. Mentor team members and contribute to a collaborative, high-performance culture.