Job Description

Experience: 6 To 8 Years

Job category: IT


Job Type: FullTime


Job Location: Pune


Number of Positions: 5


:


The ideal candidate will have a strong background in AI.


Skills:


Python


PyTorch


TensorFlow


SQL Server


AWS


Responsibilities:


+ Utilizing Large Language Models (LLMs), open-source tools, machine learning, and numerical programming frameworks to build transformative solutions.
+ Possess a strong understanding of AI models, LLMs, and AI-specialized infrastructure, particularly regarding current trends and issues affecting businesses.
+ Experienced in working with open-source models (TensorFlow, PyTorch, Hugging Face Transformers), cloud solutions, internal systems, and external partners to deliver optimal AI solutions.
+ Optimizing existing generative AI models to enhance performance, scalability, and efficiency.
+ Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
+ Ensuring best practices in AI problem-solving through thorough analysis, research, continuous experimentation, documentation, rapid prototyping, and extensive testing.

Requirements :

+ 6-8 years of hands-on experience in machine learning and deep learning. Strong understanding of Deep Learning algorithms in at least two AI domains (e.g., Computer Vision, NLP/NLG, Time Series Forecasting).
+ Proficient in Python with extensive experience in machine learning frameworks like PyTorch, TensorFlow, and Keras.
+ Adept at modelling problems into Deep Learning frameworks.

Experience building, measuring, and iterating on neural network architectures.

Experience working with data teams for data collection and organization.
+ Results-oriented with experience in developing pipelines for ML/NLP model monitoring, extraction, indexing, building, and tuning.
+ Skilled in defining validation strategies, pre-processing/feature engineering techniques, and data augmentation pipelines.
+ Expertise in data exploration and visualization to understand data distributions and their impact on model performance.
+ Experience with GPU/CUDA for accelerating deep learning model training.

Secondary Skills:

+ Machine Learning Model Testing and Validation:
+ Conduct thorough testing and validation of AI models for reliability, scalability, and security.
+ Technical Mentorship:
+ Ability to provide technical guidance and mentorship to junior team members.
+ Staying Up to Date with AI Advancements:
+ Demonstrated interest in keeping up to date with the latest advancements in NLP, ML, and AI.