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Aganitha Cognitive Solutions

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4.0

based on 19 Reviews

7 Aganitha Cognitive Solutions Jobs

Full Stack Data Scientist

aganitha cognitive solutions

4.0

based on 19 Reviews

3-8 years

Hyderabad / Secunderabad

1 vacancy

Full Stack Data Scientist

Aganitha Cognitive Solutions

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Artificial Intelligence Machine Learning Mining Engineering

+ 4 more

Job Description

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

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

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

Employment Type: Full Time, Permanent

Read full job description

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What people at Aganitha Cognitive Solutions are saying

3.9

Rating based on 5 Data Scientist reviews

Anonymous · Data Science & Analytics

Likes

The company encourages a culture of continuous learning. If you are new to IT, this is probably one of the best places to start your career at. There is a lot of learning that you do here and that is encouraged by the senior management as well. This is mostly because they ask people to be technically agnostic (You literally do everyt..Read More

Salary - Good

+4 more

Dislikes

The company is essentially a services company in the field of bioinformatics and cheminformatics as of now. There are very few Data Science projects. In my time here, I mostly worked on backend python stuff and a bit of frontend. I have only worked on one data science project even though my designation is "Data Scientist". I do not r..Read More

Read 5 Data Scientist reviews