Full-Time Data Scientist
Ollion is hiring a remote Full-Time Data Scientist. The career level for this job opening is Expert and is accepting India based applicants remotely. Read complete job description before applying.
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Job Overview:
In this role, you will work closely with other data scientists, data engineers, business stakeholders, and other members of the technology team to build AI/ML solutions on the cloud
You will be responsible for coming up with new ideas, rapid prototyping, validating the prototype and converting it into scalable production ready deployments
Key Responsibilities
- Work with stakeholders to understand their data requirements and implement AI/ML solutions that meet their needs.
- Working across Machine Learning lifecycle - data ingestion, feature engineering, modelling, predicting, explaining, deploying and diagnosing ML models.
- Interacting with Large Language Models like GPT-4 and Google Gemini and building Generative AI applications. Applications like retrieval-augmented generation (RAG) etc
- Building applications that require prompt engineering and tuning
- Experience with continuous learning and building MLops pipelines
- Participate in discovery sessions with clients and build state-of-the-art data architectures.
- Automate data collection, processing, and reporting processes to minimize manual work and improve efficiency.
- Use the knowledge gained from client projects to develop and improve our internal products.
- Drive innovation in the organization's data infrastructure and processes.
- Stay current with emerging technologies and trends in data engineering and data management.
Key Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3-7 years of relevant experience in machine learning, data science, data management and data engineering.
- Proficient in Python and developing dockerised application.
- Experience with cloud computing platforms, such as Amazon Web Services (AWS), or Google Cloud Platform (GCP), or Microsoft Azure.
- Experience with SQL and NoSQL databases
- Familiarity in working with large data sets, cloud-based model development and deployment
- Fluency with one or more Deep Learning frameworks like TensorFlow, PyTorch, CNTK etc
- Proficient in data pre-processing and dataset creation using tools like pandas, numpy scikit-learn, scipy, etc
- Built various ML applications across the domains of regression, classification, clustering etc
- Performed data pre-processing and built applications using tabular, text, image and/or video data
- Excellent problem-solving, debugging, and analytical skills.
- Ability to drive initiatives, work independently and in a team environment.
- Excellent communication skills for effectively expressing ideas to clients.