Full Stack Data Scientist

Key Skills

3D data processing, Aartificial intelligence, AI Robotic systems, Computer Vision (CV), Data Analysis, Data cleaning / Data cleansing, Data science techniques, Data Visualization, Deep Learning, Effective communication skills, Keras software library, Machine learning techniques, Natural Language Processing (NLP), NoSQL, Optimization, Python Programming, PyTorch, R Programming, Sales Optimisation, Scala Programming, SQL, TensorFlow

Job Description

Key Responsibilities

At Aganitha, you can apply your full-stack data science capabilities to help researchers accelerate:

• Investigation of human diseases
• Exploration, design, and optimization of therapeutic options
• Design, analysis, and optimization reactions – chemical as well as bio syntheses

You will contribute to the following areas of work:

• Scope, Define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies
• Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state-of-the-art machine learning technologies
• Apply NLP techniques for mining knowledge from public and enterprise-proprietary data (structured, unstructured, and semi-structured) to derive insights that will help downstream processes
• Develop models and serve with PyTorch / Tensor Flow (TF) for deep learning research
• Translate business requirements into tangible solution specifications and high-quality, on-time deliverables
• Build solutions for data discovery, data acquisition, data processing & cleaning, data integration & storage & data interpretation
• Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification & validation, and monitoring of AI/ML models
• Work with stakeholders to analyze & solve business problems using Machine learning & Artificial Intelligence capabilities & support deployment on a cloud platform
• Stay abreast of industry trends, innovations, and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready

Desired Skills / Expertise

• Experience and mathematical understanding in one or more of Natural Language Understanding, Computer Vision, Machine Learning, Optimisation
• Experience in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn, etc.
• Expertise in modular, typed, and object-oriented Python programming
• Expertise with the core data science languages (such as Python, R, Scala), and familiarity & flexibility with data systems (e.g., SQL, NoSQL, knowledge graphs)
• Excellent communication skills with a desire to work in multidisciplinary teams

Educational Qualifications

• Bachelor’s / Master’s / Ph.D. candidates in Computer Science or related technical field

Interesting Read

There’s a virtuous cycle of innovation currently underway between Fundamental Sciences (powered by high-throughput robotic automation) and Computer/Data Science and at Aganitha, we are leveraging the same with a multi-disciplinary team that spans all these disciplines.