Senior SW Engineer

We are looking for a talented and experienced Applied R&D Engineer to join our innovative team. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in AI, Machine Learning, and MLOps. Your contributions will be vital in driving our company's success and shaping the future of our AI-powered solutions.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 8+ years of experience in AI/ML development, including hands-on experience with MLOps tools and serving frameworks, such as Mlflow, n8n, flyte ,Torch Serve, etc for model deployment, and Model Context Protocol for Agentic AI Tools.

• Proficiency in programming languages such as Python, Java, and TypeScript, with a strong understanding of software development principles.

• Expertise in data handling, particularly SQL, for efficient data management and analysis.

• Experience with MLOps tools and serving frameworks, such as Tensor Flow Serving and Torch Serve, for model deployment.

• Strong background in model engineering and improvement, with a track record of successful model deployment and productionalization.

• Familiarity with Natural Language Processing (NLP), LLMs and its applications in AI/ML projects.

• Understanding of CI/CD practices and the ability to develop and maintain pipelines for ML workflows.

• Excellent problem-solving and analytical skills, with a proactive approach to identifying and resolving technical challenges.

• Strong communication and collaboration skills, with the ability to work effectively in a dynamic team environment.

• Design and implement AI models, leveraging your expertise in AI/ML algorithms and frameworks.

• Collaborate with stakeholders and engineers to operationalize ML models, ensuring efficient and effective deployment.

• Develop and maintain CI/CD pipelines for ML workflows, optimizing the model training and evaluation process.

• Utilize your understanding of RAG, neural networks, and other AI/ML concepts to enhance model performance.

• Work closely with customers to understand their needs and deliver tailored ML solutions.

• Stay updated with the latest advancements in AI and MLOps, ensuring our company remains at the forefront of technology.

• Provide technical guidance and mentorship to junior team members, fostering a culture of knowledge sharing.

• Ensure data security and privacy compliance in all ML projects, adhering to industry best practices.

• Collaborate with cross-functional teams to integrate ML models into existing systems and processes.