Pre sales / marketing Executive

Job Title: (Generative AI Engineer Specialist in Deep Learning)

Location: Gandhinagar, Ahmedabad, Gujarat

Company: Rayvat Outsourcing

Salary: Upto 2,50,000/- per annum

Job Type: Full-Time

Experience: 0 to 1 Year

Job Overview:

We are seeking a talented and enthusiastic Generative AI Engineer to join our team. As an Intermediate-level engineer, you will be responsible for developing and deploying state-of-the-art generative AI models to solve complex problems and create innovative solutions. You will collaborate with cross-functional teams, working on a variety of projects that range from natural language processing (NLP) to image generation and multimodal AI systems. The ideal candidate has hands-on experience with machine learning models, deep learning techniques, and a passion for artificial intelligence.

Key Responsibilities:

·        Develop, fine-tune, and deploy generative AI models using frameworks such as GPT, BERT, DALL·E, Stable Diffusion, etc.

·        Research and implement cutting-edge machine learning algorithms in NLP, computer vision, and multimodal systems.

·        Collaborate with data scientists, ML engineers, and product teams to integrate AI solutions into products and platforms.

·        Create APIs and pipelines to deploy models in production environments, ensuring scalability and performance.

·        Analyze large datasets to identify key features, patterns, and use cases for model training.

·        Debug and improve existing models by evaluating performance metrics and applying optimization techniques.

·        Stay up-to-date with the latest advancements in AI, deep learning, and generative models to continually enhance the solutions.

·        Document technical workflows, including model architecture, training processes, and performance reports.

·        Ensure ethical use of AI, adhering to guidelines around AI fairness, transparency, and privacy.

Qualifications:

·        Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.

·        2-4 years of hands-on experience in machine learning and AI development, particularly in generative AI.

·        Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.

·        Experience with NLP models (e.g., GPT, BERT) or image-generation models (e.g., GANs, diffusion models).

·        Strong knowledge of Python and libraries like NumPy, Pandas, scikit-learn, etc.

·        Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI model deployment and scaling.

·        Familiarity with APIs, RESTful services, and microservice architectures.

·        Strong problem-solving skills and the ability to troubleshoot and optimize AI models.

·        Good understanding of data preprocessing, feature engineering, and handling large datasets.

·        Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.

Preferred Skills:

·        Experience with multimodal AI systems (combining text, image, and/or audio data).

·        Familiarity with ML Ops and CI/CD pipelines for deploying machine learning models.

·        Experience in A/B testing and performance monitoring of AI models in production.

·        Knowledge of ethical AI principles and AI governance.

What We Offer:

·        Competitive salary and benefits package.

·        Opportunities for professional development and growth in the rapidly evolving AI field.

·        Collaborative and dynamic work environment, with access to cutting-edge AI technologies.

·        Work on impactful projects with real-world applications.

• Develop new sales opportunities through SDR generated leads and personal outbound outreach
• Drive revenue for CloudEagle, owning the entire sales cycle through close
• Lead tailored demos with customers that highlight the features they will utilize for their specific business needs and use cases  
• Develop strategies for closing opportunities within your assigned accounts
• Leverage sales methodologies to uncover customer needs and pain points
• Show CloudEagle’s value proposition by using the appropriate sales qualification standards
• Own sales activity and monthly revenue forecasting

Responsibilities

• Build pixel-perfect UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality.

• 1- 3 years as a professional software developer.
• Experience with React, React Native and Redux
• Experience with at least one native mobile platform (bonus points if you moved to React Native from iOS or Android development).
• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax. Knowledge in TypeScript is a plus point.
• Knowledge of functional and object-oriented programming.
• Familiarity with native build tools, like Xcode & Android Studio.
• Understanding of REST APIs, the document request model, and offline storage.