Fullstack Engineer with AI/ML Expertise
We are seeking a highly skilled and motivated Fullstack Engineer with a strong background in AI/ML to design, develop, and deploy cutting-edge applications that leverage machine learning and artificial intelligence technologies. The ideal candidate is proficient in both front-end and back-end development and has experience in implementing AI/ML solutions to solve complex business challenges.
Key Responsibilities
Fullstack Development
• Design, build, and maintain scalable, user-friendly web and mobile applications. • Develop APIs, microservices, and server-side logic to support AI/ML-powered functionalities. • Create intuitive, responsive, and visually appealing user interfaces. • Integrate third-party libraries, tools, and APIs into the application stack.
AI/ML Integration
• Develop and deploy machine learning models in production environments. • Collaborate with data scientists to transform prototypes into scalable AI solutions. • Optimize model performance, accuracy, and inference time with ability to monitor and improve. • Ensure ethical AI practices and proper data handling.
DevOps & Deployment
• Set up and maintain CI/CD pipelines for efficient deployment of applications and ML models. • Monitor and manage cloud-based infrastructure (e.g., AWS). • Optimize application and model deployment for high availability and low latency.
Team Collaboration
• Work closely with cross-functional teams, including data engineers, product managers, and UX/UI designers, to deliver seamless user experiences. • Participate in code reviews, sprint planning, and collaborative problem-solving. • Document processes, codebases, and architectural decisions.
Required Skills and Qualifications
Technical Skills
• Proficiency in front-end technologies (e.g., React) and back-end frameworks (e.g., Node.js, Spring Boot). • Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. • Strong programming skills in Python, JavaScript, TypeScript, or Java. • Knowledge of RESTful APIs, GraphQL, and WebSocket protocols. • Familiarity with databases (SQL and NoSQL) and data modeling. • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). • Understanding of MLOps best practices, such as model versioning, monitoring, and retraining.
Soft Skills
• Strong analytical and problem-solving abilities. • Excellent communication and collaboration skills. • Ability to adapt quickly to new technologies and tools. • Detail-oriented with a focus on delivering high-quality solutions.
Preferred Qualifications
• Familiarity with natural language processing (NLP) and computer vision techniques. • Experience with AI explainability and ethical AI practices. • Knowledge of big data processing frameworks like Apache Spark or Kafka. • Prior experience in a startup or fast-paced environment (Product based company ONLY).
Why Join Us?
• Work on exciting AI/ML-driven projects that have real-world impact. • Be part of an innovative and collaborative engineering team. • Enjoy flexible work arrangements and a supportive company culture. • Access to cutting-edge tools, technologies, and professional development opportunities.