AI Solutions Architect

1 week ago

Chhattisgarh, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

Job Description:

We are seeking an expert in Artificial Intelligence to join our team. As a key player, you will be responsible for designing and developing large-scale AI solutions using machine learning algorithms.

You will work closely with our data scientists to collect and organize data needed for the task at hand, ensuring that it is properly formatted and ready for analysis. Additionally, you will collaborate with other engineers to implement technology solutions using large language models like GPT.

Other responsibilities include setting up integrations with hosted LLMs using cloud providers, writing APIs to enhance and integrate with existing infrastructure, and working with data teams to ensure best practices are followed in solving AI problems.

Apart from technical skills, we are looking for candidates who can effectively communicate their ideas and results to both technical and non-technical stakeholders. If you have hands-on industry experience of 1-2 years working on machine learning and deep learning or related fields, then this might be the perfect opportunity for you

Requirements:

  • Hands-on industry experience of 1-2 years working on machine learning and deep learning or related fields.
  • Sound understanding of Deep Learning in at least two AI problem domains, preferably Computer Vision, NLP/NLG using LLM, Time Series Forecasting.
  • Strong mathematical background in linear algebra, probability, and calculus.
  • Familiar with machine learning frameworks such as PyTorch or TensorFlow, Keras.
  • Proficient in Python-based programming.
  • Understanding of modeling a problem into a Deep Learning framework.
  • Exposure in building, measuring, and iterating on neural network architectures that effectively solved the problem.
  • Experience working in a product-based startup environment.
  • Understanding of pipelines to monitor, extract, index, build, and tune ML and NLP models.
  • Experience working in collaborative software development environments, including the use of git, peer code review, and independent authorship of well-tested, maintainable, and documented code.
  • Data Management.
  • Defining validation strategies.
  • Defining pre-processing or feature engineering to be done on a given dataset.
  • Defining data augmentation pipelines.
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Working proficiency with SQL and relational databases, data warehouse.
  • Experience with GPU/CUDA for computational efficiency.
  • Experience with ML Ops frameworks like Sagemaker/AWS, MLFlow or similar.
  • Familiar with distributed computational frameworks (YARN, Spark, Hadoop).

Key Skills: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Time Series Forecasting, PyTorch, TensorFlow, Keras, Python, SQL, Relational Databases, Data Warehouse, GPU/CUDA, ML Ops, Distributed Computational Frameworks.

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