Senior Software Developer
7 days ago
The Senior Software Developer will play a key role in designing, developing, and experimenting with cutting-edge AI/ML and cloud technologies in support of research and development (R&D) initiatives. The role focuses on exploring and building innovative prototypes, applications, and solutions leveraging Google Cloud tools such as Vertex AI, Gemini, Generative AI APIs, and other advanced AI/ML services. This individual will work closely with cross-functional teams in a fast-paced, innovation-driven environment.
Job Specifications:
- Solution Research and Prototyping
- o Collaborate with R&D leads to evaluate and prototype solutions using Google Cloud AI/ML services, including Gemini, Vertex AI, and PaLM.
- o Conduct rapid prototyping and technical feasibility assessments for use cases in generative AI, NLP, computer vision, and MLOps.
o Stay up to date with Google's AI advancements, identifying opportunities to incorporate new capabilities into experimental projects.
Software Design and Development
- o Design and build cloud-native applications and services, with a focus on scalability, performance, and modularity.
- o Develop clean, well-documented, and testable code using modern programming languages and frameworks.
o Implement APIs and data pipelines that interface with AI models and services.
AI/ML Model Integration
- o Integrate pre-trained AI models and fine-tuned models into applications using Vertex AI, Gemini APIs, and custom endpoints.
- o Collaborate with data scientists on model deployment, monitoring, and performance optimization.
- • Experimentation and Evaluation
- o Conduct experiments, run tests, and analyze results to evaluate solution performance, quality, and user experience.
o Use MLOps practices for versioning, testing, and deployment of AI models in production-like environments.
Collaboration and Innovation
- o Collaborate with product managers, designers, and fellow developers to align prototypes with user needs and business goals.
- o Contribute to architectural decisions and share technical insights and trends relevant to ongoing R&D efforts.
- o Present findings, demos, and POCs to internal stakeholders and innovation sponsors.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology/Systems or any related field; Master's degree is a plus
- • Proven experience in AI/ML solution development, including usage of Vertex AI, GenAI APIs, or similar platforms.
- • Hands-on experience with cloud platforms (GCP preferred, AWS/Azure a plus).
- • Strong experience with Python, JavaScript/TypeScript, or Go.
- • Deep understanding of RESTful APIs, microservices, and containerization (Docker, Kubernetes).
- • Knowledge of MLOps workflows, model lifecycle management, and automated pipelines.
- • Familiarity with generative AI models, embeddings, LLM integration, and prompt engineering concepts.
- Preferred:
- • Google Cloud certifications (e.g., Professional Machine Learning Engineer, Associate Cloud Engineer).
- • Experience using Gemini 1.5 Pro, Generative AI Studio, LangChain, PromptFlow, or similar frameworks.
- • Publications, hackathon wins, or contributions to open-source AI/ML projects.
- • Background in working with multimodal AI, vision-language models, or RAG (Retrieval-Augmented Generation) architectures.
Job Types: Full-time, Permanent
Benefits:
- Life insurance
- Opportunities for promotion
Application Question(s):
- How much is your asking salary?
Experience:
- AI/ML solution development,: 4 years (Required)
- cloud platforms: 4 years (Preferred)
- Software Design and Development: 4 years (Preferred)
Work Location: In person
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