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Aganitha Cognitive Solutions

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based on 16 Reviews

2 Aganitha Cognitive Solutions Data Scientist Jobs

Full Stack Data Scientist

aganitha cognitive solutions

based on 16 Reviews

3-8 years

Hyderabad / Secunderabad

1 vacancy

Full Stack Data Scientist

Aganitha Cognitive Solutions

posted 1mon ago

Flexible timing

Key skills for the job

+ 4 more

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

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:

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:

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

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