Senior Software Engineer

Short Description:

Seeking an Experienced Engineer to join our team. This role focuses on AI/ML development, MLOps, and data science, offering a chance to work with cutting-edge technologies.

Description

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 responsibilities

• 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.

Your skills and experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8 to 12 years of experience in AI/ML development, including hands-on experience with MLOps tools and serving frameworks, such as Mlflow, n8n, flyte ,TorchServe, 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 TensorFlow Serving and TorchServe, 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.