Lead Software Engineer- ML

As a Lead Software Engineer Machine Learning, your role will involve driving the design, development, and deployment of advanced machine learning solutions. You will need to showcase strong leadership skills, deep technical expertise, and the ability to guide teams in solving complex, large-scale problems using cutting-edge ML technologies. Your responsibilities will include defining and leading the strategy and roadmap for ML systems and applications, architecting scalable machine learning systems, and collaborating with cross-functional teams to identify ML use cases and requirements. Mentoring junior engineers, monitoring and improving the performance of machine learning systems, and leading research initiatives for emerging ML techniques will also be part of your role. **Key Responsibilities:** - Define and lead the strategy and roadmap for ML systems and applications. - Architect and oversee the development of scalable machine learning systems and infrastructure. - Drive the design and implementation of advanced ML models and algorithms. - Collaborate with cross-functional teams to identify ML use cases and requirements. - Mentor and guide junior engineers in best practices for ML development. - Monitor, evaluate, and improve the performance of machine learning systems. - Lead research initiatives to explore emerging ML techniques. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. A Ph.D. is a plus. - 10+ years of experience in software engineering, with at least 5 years focusing on machine learning. - Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. - Strong expertise in designing and building large-scale, distributed ML systems. - Advanced knowledge of data engineering tools and frameworks, such as Spark, Hadoop, or Kafka. - Hands-on experience with cloud platforms (AWS, GCP, Azure) for ML workloads. - Expertise in deploying and managing ML models in production environments using MLOps tools like MLflow or Kubeflow. - Deep understanding of algorithms, data structures, and system design. - Experience with containerization (Docker) and orchestration (Kubernetes). The company is looking for a Lead Software Engineer Machine Learning with 10+ years of experience in data engineering or related fields. Strong leadership, problem-solving, and analytical thinking skills, along with excellent communication abilities, are essential for this role. You should also have the ability to foster collaboration, drive innovation, and effectively convey technical concepts to both technical and non-technical audiences.,