Position: Lead AI/ML Engineer

Qualifications:

- Overall 8+ years of work experience as a Machine Learning Engineer or related role, with min. 3+ years as a team lead.
- Strong 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.
- Good 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 the developments from technical front.
- Design and work with engineering team to implement the entire application modules as discoverable microservices, experience hosting and deploying ML solutions.
- Collaborate with Product teams, system architects, designers, and engineers to support the development of robust machine learning systems.
- Continuously improve the efficiency, robustness, and cost of existing modules.
- Assess and recommend technology choices and directions in consideration of cost-benefit trade-offs.
- Build engineering plans, and schedule estimates.
- Perform code reviews and ensure proper design and delivery.
- Promote best practices and establishing team processes.
- Identify infrastructure and architectural investment needs.
- Hire, develop, and lead an inclusive, engaged, and high performing team.

📌 Lead AI/ML Engineer (Gurugram)
🏢 Ivy Mobility
📍 Gurugram