Position: Lead AI/ML Engineer

Qualifications:
Overall 5+ years of work experience as a Machine Learning Engineer or related role.
Robust coding experience in Python is required.
More than 4+ years of experience with designing and developing popular - highly scalable, distributed ML models and open-source projects.
Contribution towards multiple use cases.
Understanding of data structures, data modelling and software architecture.
Familiarity and proficiency with machine learning frameworks (like PyTorch, TensorFlow, Keras, MxNet) and libraries (like scikit-learn, pandas).
Knowledge of CUDA, OpenCL,
Understanding and scripting on SQL/ NoSQL databases (e.g., MySQL, MangoDB)
Familiarity with various operating systems (e.g., Windows, UNIX/Linux, Ubuntu)
Knowledge in other programming languages like Java, .net, JavaScript is an added advantage.
Knowledge on deployment of the ML models on any cloud-based platforms (AWS, Azure, GCP.,)
Knowledge on Big Data & tools like Spark based - distributed training and inferencing.
Reinforcement Learning,



Neural Networks and Natural Language Processing knowledge on packages like NLTK, Gensim, SpaCy, CoreNLP is a bonus.
Knowledge of text detection, generative models, reinforcement learning, model compression / optimization.
Deep and profound knowledge of math, probability, statistics, and algorithms.
Should have led a team of engineers towards deployment of projects.
Outstanding analytical and problem-solving skills.
Valuable team player and excellent written and verbal technical communication skills.
Preferable to have FMCG/CPG domain knowledge.
BE / BCA / BSc in Computer Science; Masters degree in the same stream is a plus.

Responsibilities:
Deliver robust, well-tested, and fully documented modules to serve the use cases.
Collaborate with Product Management and proactively provide inputs during current use case/feature/module development or connects with project teams.
Act as an anchor to lead t

📌 Senior Ai/ml Engineer Gurugram
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