Senior Dotnet Developer

DRISHTICON Inc; Brasil; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

DRISHTICON Inc. seeks a talented .NET Developer with AI/ML skills to develop cutting-edge solutions in life sciences. You will work on full software lifecycles from ideation to production, leveraging .NET Core/C# and Python for ML tasks.

Responsibilities include integrating AI/ML models, collaborating with data scientists and clinicians, and leading engineering best practices such as CI/CD and DevOps to deliver scalable healthcare software.

Qualificações

• Education: Bachelor's or Master's in Computer Science, Engineering, Statistics, or related field.
• Experience with .NET/C# and software development.
• Experience creating and implementing ML/AI algorithms, full-stack familiarity (React or Vue) is a plus.

Responsabilidades

• Design, develop, test, and maintain software using .NET Core/C#, with Python for ML tasks.
• Integrate AI/ML models and algorithms, ensuring performance and compliance in healthcare.
• Own model lifecycle: data collection, preprocessing, training, validation, deployment, monitoring.
• Collaborate with data scientists, clinicians, and product managers to translate requirements into technical solutions.
• Engage in code reviews, promote best practices (TDD, CI/CD, DevOps), and mentor juniors.
• Analyze large-scale medical data to derive data-driven solutions for drug discovery and clinical workflows.

Conhecimentos

.NET Core/C#

AI/ML

Python

React

Vue

Azure

Docker

Kubernetes

SQL Server

Git

NLP

TensorFlow

PyTorch

Formação académica

Bachelor's or Master's in CS/Engineering/Statistics

Ferramentas

TensorFlow

PyTorch

Docker

Kubernetes

Azure

Descrição da oferta de emprego

We are seeking a talented and motivated .NET Developer with AI/ML skills to join our innovative team, focusing on developing cutting-edge AI/ML solutions within the life sciences domain. The ideal candidate will have a strong foundation in .NET Core/C#programming and experience in applying artificial intelligence and machine learning algorithms to solve complex healthcare problems. This role involves the full lifecycle of AI product development, from ideation and prototyping to production deployment.

Key Responsibilities

• Design and Development: Design, develop, test, and maintain robust and scalable software solutions using .NET Core, C#, and other relevant technologies (e.g., Python for ML tasks).
• AI/ML Integration: Integrate AI/ML models and algorithms into existing and new software applications, ensuring performance, scalability, and compliance within the healthcare industry.
• Model Lifecycle Management: Own the full lifecycle of AI/ML models, including data collection, preprocessing, model training, validation, deployment, monitoring, and iteration.
• Collaboration: Work closely with cross-functional teams, including data scientists, clinicians, and product managers, to translate business requirements into technical solutions and align AI capabilities with business goals.
• Technical Leadership: Participate in code reviews, foster engineering best practices (e.g., TDD, CI/CD, DevOps), and potentially mentor junior team members.
• Problem Solving: Apply an engineering mindset to analyze complex, large-scale medical data, identify trends, and develop data-driven solutions that accelerate drug discovery or optimize clinical workflows.

Required Qualifications and Skills

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.

Experience:

• Proven professional experience in software development, with a strong emphasis on the .NET/C# stack.
• Experience working on creating and implementing machine learning or AI algorithms.
• Experience with full-stack development, including front-end technologies like React or Vue, is a plus.

Technical Skills:

• Proficiency in C# and the .NET framework (including .NET Core).
• Programming experience in Python for AI/ML development tasks is often mandatory.
• Familiarity with ML frameworks/libraries (e.g., TensorFlow, PyTorch) and NLP techniques.
• Experience with cloud platforms, particularly Azure, and containerization tools like Docker and Kubernetes.
• Strong experience with SQL Server or other enterprise database environments.
• Knowledge of MLOps practices, CI/CD pipelines, and version control (Git).

Soft Skills:

• Excellent problem-solving, analytical, and debugging abilities.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A proactive, innovative mindset and passion for continuous learning in AI and healthcare.