Full-Time Data Scientist

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.

Nice To Have

• Experience building large-scale, high throughput, 24x7 data systems.
• Built production level Deep learning solutions on the cloud
• Experience in Generative AI prompt engineering and tuning. Built Generative AI applications
• Any data engineering, visualisation, or data science certifications on any of the clouds.

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