Data Scientist
4 days ago
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 2-3 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:
- 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.
- In-depth understanding of both discriminative and generative AI algorithms and architectures.
- Expertise in prompt engineering and cutting-edge AI tools/frameworks.
- Proven experience designing and implementing end-to-end AI/ML pipelines for production environments.
- Familiarity with large language models (LLMs) and their applications.
- Strong programming skills in Python, including expertise in data analysis libraries (Pandas, NumPy, Scikit-learn).
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Proficient in SQL for data extraction and analysis.
- Working knowledge of cloud platforms, preferably Google Cloud Platform (GCP).
- Experience with data pipelines, ETL processes, and MLOps practices.
- Experience of deployment frameworks (e.g., FastAPI, Streamlit) and containerization (e.g., Docker).
Preferred Qualifications:
- Familiarity with GCP AI/ML services (e.g., Vertex AI) and advanced AI technologies like RAG (Retrieval-Augmented Generation), vector databases, and document embeddings.
- Strong communication skills to explain technical concepts to technical and non-technical stakeholders.
- Demonstrated experience working in cross-functional teams and aligning AI initiatives with organizational goals.
- Leadership/participation in organizations (e.g., campus, NGOs, or professional groups) showcasing organizational and team-building skills.
- Proven ability to publish, present, or share technical insights through blogs, social media platforms, or conferences, contributing to team branding and personal growth.
- 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:
- Collaborate closely with product, design, engineering, and business teams to understand data needs and develop AI solutions.
- Research and develop advanced AI/ML models, including prototypes for complex business problems.
- Implement and maintain AI/ML solutions for processes like document verification, credit scoring, and chatbot development.
- Optimize and scale existing AI/ML models and workflows in production environments.
- Lead AI/ML initiatives focusing on innovative technologies such as OCR engines and LLMs.
- Document AI models, processes, and solutions to ensure reproducibility and knowledge sharing.
- Drive the adoption of best practices in MLOps, including deployment, monitoring, and retraining of models.
- Mentor team members and contribute to a collaborative, high-performance culture.
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesSoftware Development
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