Deep Learning Engineer

Noida, Uttar Pradesh, India
Jan 14, 2024
Dec 29, 2024
Onsite
Full-Time
3 Years
Job Description

Job Opportunity. AI Deep Learning Expert

About Us

InvincibleMeta.AI is at the forefront of AI and deep learning, specializing in video and voice recognition. As a pioneering tech company, we are committed to pushing the boundaries of innovation and redefining the impact of AI on our daily lives. Join our dynamic team and be part of groundbreaking projects that have the potential to shape the future of AI technology.

Job Description

We are looking for a highly skilled and motivated AI Deep Learning Expert with a specialization in Video and Voice Recognition to join our team. As a key member of InvincibleMeta.AI, you will lead and contribute to cutting-edge projects, utilizing your expertise to develop, implement, and optimize state-of-the-art deep learning models. Your contributions will play a crucial role in advancing our technology and influencing the future of AI in video and voice recognition.

Must-Have Skills

  • 3+ years of hands-on technical experience implementing and developing cloud ML solutions.
  • Proficiency in Python, with a minimum of 2+ years of experience in object-oriented programming and the software development lifecycle.
  • Expertise in TensorFlow/PyTorch DL frameworks.
  • Strong problem-solving skills with multilayered data sets and optimization of machine learning libraries and frameworks.
  • Advanced knowledge of math and statistics, particularly in calculus, linear algebra, and Bayesian statistics.
  • Experience in predictive modeling, statistics for classification, clustering, forecasting, and time series modeling.
  • Familiarity with Random Forests, Gradient Boosting techniques, and Hyperparameter testing.
  • Training and validation of deep learning-based and statistical-based models, considering use-case, complexity, performance, and robustness.
  • Experience in NLP (Topic modeling, sentiment analysis, classification, summarization) and/or computer vision (segmentation, classification, object detection).
  • Experience training and fine-tuning deep learning models for NLP and Computer Vision use cases.
  • Good experience developing applications using LLMs with Langchain.

Good-to-Have Skills

  • Experience with AWS services such as Sagemaker for model training, fine-tuning, and deployment.
  • Relevant AWS certifications such as AWS Machine Learning Specialty and AWS Solutions Architect.
  • Experience with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines for data solutions.
  • Implementation and management of MLOps principles and best practices for Gen AI models.

Role & Responsibilities

  • Developing machine learning models, training, fine-tuning, and inference.
  • Experimenting with a range of models, evaluating model performance, and model selection.
  • Performing data cleaning, feature engineering, selection, and evaluation.
  • Implementing data and model training pipelines on the cloud using AWS services such as Sagemaker, Lambda functions, etc.
  • Documentation for model architecture and solutions.
  • Collaboration with cross-functional teams, including platform engineers, machine learning engineers, software developers, and business stakeholders, to ensure data solutions meet business needs.
  • Adhering to project timelines.
  • Communicating with non-technical stakeholders to understand their data requirements and convey the benefits of data solutions, including migration strategies.

How to Apply

If you are passionate about AI, deep learning, and want to contribute to shaping the future of video and voice recognition, we encourage you to apply. Please submit your resume, a cover letter detailing your relevant experience, and any pertinent project portfolios or GitHub profiles to [email protected].

InvincibleMeta.AI is an equal opportunity employer committed to fostering diversity and inclusivity within our workforce. We celebrate the unique perspectives and talents that each team member brings to our organization.

Join us in our mission to lead the way in AI innovation and make a meaningful impact on the industry.