Technical Lead - AI/ML

As a Tech Lead with 10 years of experience in AI/ML and Generative AI, your role will involve driving innovation, leading projects, and mentoring a high-performing team. You will be responsible for the following key activities: - Lead end-to-end AI/ML project lifecycles, including design, development, and deployment. - Build and optimize models in NLP, Computer Vision, and Generative AI such as GANs and LLMs. - Architect and deploy AI/ML solutions for NLP, Computer Vision, and Analytics. - Manage and mentor a team of data scientists and ML engineers. - Collaborate with cross-functional teams to define AI strategies and deliver solutions. - Stay updated on AI advancements and implement state-of-the-art technologies. To excel in this role, you should possess the following skills and experience: - Strong expertise in AI, Machine Learning, Python, TensorFlow, PyTorch, and Scikit-learn. - Proficiency in Generative AI, LLMs, and cloud platforms such as AWS, Azure, and Google Cloud. - Experience with big data tools like Spark, Hadoop, and MLOps tools including Kubeflow, MLflow, Docker, and Kubernetes. - Proven track record of delivering large-scale AI/ML projects. - Excellent leadership, problem-solving, and communication skills. This is an exciting opportunity to work with cutting-edge technologies, lead impactful projects, and contribute to the advancement of AI and Machine Learning. As a Tech Lead with 10 years of experience in AI/ML and Generative AI, your role will involve driving innovation, leading projects, and mentoring a high-performing team. You will be responsible for the following key activities: - Lead end-to-end AI/ML project lifecycles, including design, development, and deployment. - Build and optimize models in NLP, Computer Vision, and Generative AI such as GANs and LLMs. - Architect and deploy AI/ML solutions for NLP, Computer Vision, and Analytics. - Manage and mentor a team of data scientists and ML engineers. - Collaborate with cross-functional teams to define AI strategies and deliver solutions. - Stay updated on AI advancements and implement state-of-the-art technologies. To excel in this role, you should possess the following skills and experience: - Strong expertise in AI, Machine Learning, Python, TensorFlow, PyTorch, and Scikit-learn. - Proficiency in Generative AI, LLMs, and cloud platforms such as AWS, Azure, and Google Cloud. - Experience with big data tools like Spark, Hadoop, and MLOps tools including Kubeflow, MLflow, Docker, and Kubernetes. - Proven track record of delivering large-scale AI/ML projects. - Excellent leadership, problem-solving, and communication skills. This is an exciting opportunity to work with cutting-edge technologies, lead impactful projects, and contribute to the advancement of AI and Machine Learning.