We are seeking a highly skilled and experienced Lead Software Engineer – Machine Learning to drive the design, development, and deployment of scalable AI/ML solutions. In this role, you will lead a team of engineers and data scientists to build intelligent systems that solve complex business problems and deliver measurable impact. You will be responsible for architecting machine learning pipelines, developing production-grade ML models, and ensuring high performance, reliability, and scalability of AI applications. The ideal candidate has strong expertise in software engineering principles combined with hands-on experience in machine learning, deep learning, and cloud technologies.
Key Responsibilities :
– Lead the end-to-end development of machine learning solutions from research to production.
– Design scalable ML architectures, APIs, and data pipelines.
– Collaborate with product managers, data scientists, and cross-functional teams to define AI-driven features.
– Optimize model performance, deployment, monitoring, and maintenance.
– Mentor engineering teams and establish best practices for coding, testing, and ML operations (MLOps).
– Ensure system security, reliability, and compliance with industry standards.
– Stay updated with emerging AI/ML technologies and recommend innovative solutions.
Required Qualifications :
– Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field.
– 8+ years of software engineering experience with 3+ years in machine learning leadership roles.
– Strong proficiency in Python, Java, or C++.
– Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
– Expertise in cloud platforms like AWS, Azure, or GCP.
– Strong understanding of distributed systems, APIs, microservices, and CI/CD pipelines.
– Excellent problem-solving, leadership, and communication skills.
Preferred Skills :
– Experience with Generative AI, NLP, or recommendation systems.
– Knowledge of Kubernetes, Docker, and MLOps tools.
– Prior experience leading high-performing engineering teams.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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