AI Engineer

Founders - 3rd Time Entrepreneur. Has successfully ran and exited 2 EdTech Ventures. All 3 from IIT Delhi with 60 years of collective experience. They are building to transform how global Finance Backoffice works with AI. How traditional systems like SAP and Oracle can become highly effecient with their solution and make finance teams Rockstar

Role Overview: We are seeking a passionate Application Engineer with 13 years of experience in creating custom solutions particularly within AI or deep tech companies. This role focuses on developing and deploying AI/ML applications collaborating with teams to craft tailored solutions and driving impactful results for clients. The ideal candidate has a strong foundation in AI/ML frameworks and backend technologies combined with a desire to learn and deliver innovative solutions.

Key Responsibilities:

1. Custom Solution Development:

• Design and implement custom AI/ML applications to meet custom requirements.
• Collaborate with cross-functional teams to ensure seamless integration of solutions into client systems.

2. AI/ML Application Engineering:

• Work on deploying AI/ML models and maintaining scalable applications.
• Optimize performance and functionality of AI-based solutions for real-world use cases.
• Research and implement machine learning algorithms and tools.

3. Technical Implementation:

• Build and maintain backend systems to support AI applications.
• Utilize AI/ML frameworks (e.g. TensorFlow PyTorch etc.) to deliver cutting-edge solutions.

4. Collaboration and Communication:

• Work closely with product managers data scientists and engineers to deliver high-quality solutions.
• Ensure clear communication of technical designs and progress with stakeholders.

5. Continuous Learning and Innovation:

• Stay updated on the latest advancements in AI/ML and backend technologies.
• Experiment with new tools and methodologies to improve solution delivery.

Skills and Qualifications:

Experience: 13 years in designing and delivering custom solutions preferably in AI or deep tech environments.

Technical Skills:

Proficiency in AI/ML frameworks such as TensorFlow PyTorch and scikit-learn.

Good understanding of AI/ML model deployment data pipelines and backend architectures.

Strong backend development skills with experience in Python Java or similar programming languages.

Knowledge of data structures data modeling basic algorithms and object-oriented and functional design principles.

Experience in working with cloud environments such as AWS Google Cloud Azure etc.

Soft Skills:

Strong problem-solving and analytical abilities.

Eagerness to learn innovate and deliver impactful results.

Education: Bachelors degree in Computer Science Engineering or a related field. Advanced certifi cations in AI/ML are a plus.