Senior Associate - Machine Learning Engineer Job in Ignatiuz Software

Company Overview:

Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore). We are dedicated to accelerating digital performance through innovation and automation. With a track record of delivering high-quality, reliable solutions, we collaborate with Fortune 500 clients to help drive their business success.

Role Overview:

We are seeking an experienced Deep Learning Engineer to join our AI and machine learning team. In this role, you will be responsible for designing, implementing, and optimizing deep learning models, working with large datasets, and integrating AI solutions into products and services. Your work will contribute to cutting-edge projects in fields such as computer vision, natural language processing (NLP), and reinforcement learning.

Key Responsibilities:

• Model Development: Design, build, and optimize deep learning models using frameworks like TensorFlow, PyTorch, and Keras.
• Data Processing: Work with large datasets to clean, preprocess, and transform data for training deep learning models.
• Algorithm Research: Develop and research new algorithms for applications including computer vision, NLP, reinforcement learning, and more.
• Model Training: Train and fine-tune models using GPUs/TPUs to optimize performance and scalability.
• Deployment: Deploy models in production environments, ensuring they meet performance and scalability requirements.
• Collaboration: Collaborate with data engineers, software engineers, and product teams to integrate AI solutions seamlessly into products and services.
• Continuous Learning: Stay updated with the latest trends and advancements in deep learning and AI.
• Documentation: Maintain thorough documentation of models, data pipelines, and systems to ensure clarity and reproducibility.

Requirements:

• Education: Bachelor s or Master s degree in Computer Science, AI, Data Science, or a related field.
• Experience: 3-5 years of professional experience in machine learning or deep learning roles.
• Technical Skills:
  • Expertise in deep learning frameworks like TensorFlow, PyTorch, Keras.
  • Strong understanding of neural networks, backpropagation, CNNs, RNNs, transformers, and GANs.
  • Proficiency in Python, including libraries like NumPy, Pandas, SciPy, Scikit-learn, and Matplotlib.
  • Experience with GPU/TPU programming for efficient training of deep learning models.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment.
  • Knowledge of containerization (Docker) and CI/CD pipelines for efficient model deployment.
• Additional Skills (Preferred):
  • Experience in NLP, computer vision, or reinforcement learning projects is a plus.