Urgent! Lead Artificial Intelligence/Machine Learning Engineer Job Opening In Gurugram – Now Hiring Edge Executive Search
<p>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.<br/><br/>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.<br/><br/>The Job :<br/><br/>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.<br/><br/>- Design and develop tools and apps to enable ML automation using AWS ecosystem.<br/><br/>- 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.<br/><br/>- Support large scale model training and serving pipelines in distributed and scalable environment.<br/><br/>- 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.<br/><br/>- Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them.<br/><br/>- Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-ed lifecycle of large language models.<br/><br/>Your Profile :<br/><br/>- Bachelor's degree in computer Science, Data Science, Generative AI, Engineering or related discipline.<br/><br/>- Software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++.<br/><br/>- Experience in machine learning, deep learning, and natural language processing.<br/><br/>- Experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS.<br/><br/>- Experience with Big Data technologies such as Spark, Flink and SQLprogramming.<br/><br/>- Experience with cloud-native DevOps, CI/CD, FastAPI or any other python framework to create a microservice<br/><br/>- Experience in Development in AI and Generative AI/LLMs.<br/><br/>- Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production.<br/><br/>- ML pipelines Experience in ML model life cycle development experience and prefer experience to common algorithms.</p> (ref:hirist.tech)
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Unlock Your Lead Artificial Potential: Insight & Career Growth Guide
Real-time Lead Artificial Jobs Trends in Gurugram, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Artificial in Gurugram, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 191036 jobs in India and 2663 jobs in Gurugram. This comprehensive analysis highlights market share and opportunities for professionals in Lead Artificial roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Edge Executive Search is currently hiring and seeking a Lead Artificial Intelligence/Machine Learning Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Edge Executive Search adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Artificial Intelligence/Machine Learning Engineer Jobs India varies, but the pay scale is rated "Standard" in Gurugram. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Artificial Intelligence/Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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