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Naveen here from Kovan Tech, kindly find the below job description and send me the suitable consultant.

Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of machine learning? Do you want to be part of the team working on ground-breaking products that define the future of AI-driven network management?  Then come, advance with us. This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of IOT, big data, cloud computing, ML and generative AI. This is a greenfield project in which you will help define every aspect of user and product experience and drive significant portions of the technical and scientific roadmaps.

•      Design, develop, and launch strategic machine learning solutions, driving business-wide innovation utilizing AI and analytical techniques at scale.
•      Take full ownership of the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, engage in technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
•    Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
•      Working closely with other engineers and scientists, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
• Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements

•      Degree in mathematics/computer science or related discipline.
•     3+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
•      3+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
•      Experience developing large-scale distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).

•      MS or PhD in Computer Science or equivalent experience in ML.
•      Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.).
•      Experience dealing with real world large-scale datasets.
•      Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment or large models.