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AI/ML Engineer
AI/ML Engineer
NirwanaAI's logo

AI/ML Engineer

HR Manager's profile picture
Posted by HR Manager
3 - 15 yrs
₹12L - ₹50L / yr
Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
skill iconJava
skill iconC++
skill iconC#
Online machine learning
skill iconPython



Job Overview:

We are seeking a motivated and enthusiastic Junior AI/ML Engineer to join our dynamic team. The ideal candidate will have a foundational knowledge in machine learning, deep learning, and related technologies, with hands-on experience in developing ML models from scratch. You will work closely with senior engineers and data scientists to design, implement, and optimize AI solutions that drive innovation and improve our products and services.


Key Responsibilities:

  • Develop and implement machine learning and deep learning models from scratch for various applications.
  • Collaborate with cross-functional teams to understand requirements and provide AI-driven solutions.
  • Utilize deep learning frameworks such as TensorFlow, PyTorch, Keras, and JAX for model development and experimentation.
  • Employ data manipulation and analysis tools such as pandas, scikit-learn, and statsmodels to preprocess and analyze data.
  • Apply visualization tools like matplotlib and spacy to present data insights and model performance.
  • Demonstrate a general understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.
  • Leverage knowledge of statistical and algorithmic models along with fundamental mathematical concepts, including linear algebra and probability.


Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • Solid foundation in machine learning, deep learning, computer vision, and natural language processing (NLP).
  • Proven experience in developing ML/deep learning models from scratch.
  • Proficiency in Python and relevant libraries.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, or JAX.
  • Experience with data manipulation and analysis libraries like pandas, scikit-learn, and visualization tools like matplotlib.
  • Strong understanding of data structures, algorithms, and multi-threaded programming.
  • Knowledge of statistical models and fundamental mathematical concepts, including linear algebra and probability.


Skills and Competencies:

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Eagerness to learn and stay updated with the latest advancements in AI/ML technologies.


Preferred Qualifications:

  • Previous internship or project experience in AI/ML.
  • Familiarity with cloud-based AI/ML services and tools.


Nirwana.AI is an equal opportunity employer and welcomes applicants from all backgrounds to apply.


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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About NirwanaAI

Founded :
2024
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped
About
We are building a software to help interior designers and home-owners visualise their design ideas accurately. The small details are what make a dream house; our tool allows you to change every element of your design, helping you make any space, truly yours. We are currently launching our Beta version, this is 10% of what our tool is capable of. With your inputs and suggestions, we will continue to build our tool and tailor it to meet real-time design requirements. Welcome to Nirwana AI, we're glad to have you with us!
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Subodh Popalwar

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For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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