SS Hackathon - AI Developer / AI Engineer

• Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.
• Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training.
• Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs.
• Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.
• Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders.
• Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions.

• Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
• Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role.
• Programming Proficiency:Strong coding skills in Python, Java, R, and/or C .
• AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.
• Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture.
• Problem-Solving:Excellent analytical and problem-solving skills with attention to detail.

• Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.
• Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow).
• Knowledge of big data technologies such as Hadoop or Spark.

• Competitive salary and compensation package.
• Comprehensive health, dental, and vision insurance.
• [401(k) matching or retirement plan].
• Flexible work environment/remote options.
• Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).

Salary : $4,167 - $8,333