Lead Artificial Intelligence/Machine Learning Engineer

2 weeks ago

Gurgaon, Haryana, India Edge Executive Search Full time

Our client is a global leader in the aviation sector, driving a digital-first transformation powered by cloud technologies, data innovation, and machine learning. With a bold vision to redefine how data empowers smarter decisions, they are building a modern engineering ecosystem that fuels business agility and growth at scale.

At the heart of this journey is a vibrant, inclusive, and forward-thinking technology team that thrives on curiosity, collaboration, and continuous learning. From cloud-native architectures to real-time data pipelines, team members are shaping solutions that impact millions of lives-all while working in an environment that values diversity, wellbeing, and career development.

The Job :

We are Seeking to identify a Lead Machine Learning Engineer role, responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.

- Design and develop tools and apps to enable ML automation using AWS ecosystem.

- Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications.

- Support large scale model training and serving pipelines in distributed and scalable environment.

- Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture.

- Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them.

- Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-ed lifecycle of large language models.

Your Profile :

- Bachelor's degree in computer Science, Data Science, Generative AI, Engineering or related discipline.

- Software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++.

- Experience in machine learning, deep learning, and natural language processing.

- Experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS.

- Experience with Big Data technologies such as Spark, Flink and SQLprogramming.

- Experience with cloud-native DevOps, CI/CD, FastAPI or any other python framework to create a microservice

- Experience in Development in AI and Generative AI/LLMs.

- Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production.

- ML pipelines Experience in ML model life cycle development experience and prefer experience to common algorithms.

(ref:hirist.tech)

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