Senior AI Solutions Engineer

4 days ago


Bengaluru, Karnataka, India Wellborntech Technologies Full time

About Us

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Wellborntech Technologies is a forward-thinking company that empowers innovation through cutting-edge technology solutions. Our mission is to harness the potential of Artificial Intelligence (AI) and drive business growth.

Job Summary:

We are seeking an experienced Senior AI Solutions Engineer with 9-10 years of experience in designing, developing, and implementing secure, scalable, and cost-effective AI solutions. The ideal candidate will have a strong background in data and analytics, with a focus on AI technologies and solutions.

Key Responsibilities:

Collaborate with stakeholders across business and technical teams to understand needs and opportunities for AI integration.

Design and architect AI solutions leveraging machine learning, deep learning, and natural language processing technologies.

Select and implement appropriate AI frameworks, tools, and libraries based on project requirements.

Ensure solutions adhere to best practices in AI development, data security, and fairness considerations.

Lead the development and implementation of proof-of-concept demonstrations for proposed solutions.

Develop and maintain technical roadmaps for AI initiatives, aligning with long-term business goals.

Work collaboratively with data scientists, engineers, and operations teams to bring AI solutions to life.

Stay up-to-date on the latest advancements in AI research and development.

Tech Skills:

5+ years of experience in software architecture or a related technical role.

In-depth knowledge of AI concepts, including machine learning, deep learning, and natural language processing.

Strong understanding of software development lifecycle (SDLC) methodologies for AI projects.

Experience with cloud platforms and containerization technologies (e.g., AWS, Azure, GCP, Docker) for deploying AI solutions.

Proficiency in programming languages commonly used in AI development (e.g., Python, R).

Experience with data management and manipulation techniques for AI applications.

Tech Skills (Preferred):

Experience with specific AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure Machine Learning)

Knowledge of explainable AI (XAI) techniques and ethical considerations in AI development

Experience with MLOps tools for deployment and management of AI models

Salary Range:

$120,000 - $150,000 per year



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