AI / ML Engineer

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world environments. Responsibilities Design, Develop, and Deploy AI/ML Models: Address complex business challenges through AI and ML solutions, ensuring production-grade deployments. Build Scalable AI/ML Pipelines: Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models. Collaboration with Cross-functional Teams: Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions. Optimize AI/ML Models in Production: Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments. Develop APIs and Microservices: Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms. Implement MLOps Practices: Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring. Apply State-of-the-art AI/ML Techniques: Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions. Ensure Ethical AI Practices: Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models. Stay Up-to-date with Industry Trends: Continuously explore and implement the latest AI/ML techniques, tools, and best practices. Assist in Documentation and Best Practices: Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects. Requirements Strong Expertise in AI/ML Frameworks: Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models. Proficiency in Programming Languages: Strong command of Python or R, including libraries/tools for data science and machine learning. Experience with Cloud-based AI/ML Services: Hands-on experience with Microsoft Azure and Databricks. MLOps Experience: Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management. Domain-Specific AI Expertise: Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques. Excellent Problem-Solving Skills: Ability to identify and address technical challenges with innovative and efficient solutions. Effective Communication Skills: Strong ability to convey complex technical concepts to both technical and non-technical audiences. Attention to Detail: Ability to handle and execute highly specialized projects with a focus on quality. Desired Skills And Qualifications Familiarity with Distributed Computing: Knowledge of Apache Spark and scalable training techniques for large datasets. Experience with GenAI: Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases. Knowledge of Data Privacy and Security Standards: Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards. Interpersonal Skills: Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners. This job was posted by Akshay Patil from Netscribes. Show more Show less