Experience
3 - 8 yrs
Salary (CTC)
₹10.1L - ₹13.7L
Job Location
Hyderabad, India
Vacancy
1
Designation
Data Scientist
Job Type
Not specified
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
No Referrers Available
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