AI Engineer
Bengaluru, Karnataka, India - Remote
Charger Logistics Inc
Charger Logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger Logistics has transformed into a world-class transport provider and continues to grow.
Charger Logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual ideas and strategies.
We are seeking a talented AI Engineer to design, build, and deploy cutting-edge AI solutions. You'll collaborate with data scientists, engineers, and product teams to create intelligent systems that drive real business impact.
Responsibilities:
- Develop machine learning models and deep learning architectures (NLP, computer vision, speech AI).
- Build multi-agent systems, LLM-based frameworks, and AI copilots.
- Fine-tune and optimize LLMs using techniques like LoRA, PEFT, and RAG.
- Deploy AI models on cloud platforms (AWS, GCP, Azure) with Docker and Kubernetes.
- Scale AI systems to handle high-volume environments with efficiency.
- Stay updated with the latest AI research and incorporate best practices.
Requirements
- Bachelor’s in Computer Science, AI, or related field.
- Proficient in Python and ML frameworks (TensorFlow, PyTorch).
- Experience with cloud services, model deployment, and scalable architectures.
- Strong knowledge of LLMs, multi-agent orchestration, and MLOps practices.
- Excellent problem-solving and collaboration skills.
- Hands-on experience with ASR, TTS, voice applications, or conversational AI is preferred.
Benefits
- Competitive Salary
- Career Growth
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture ASR AWS Azure Computer Science Computer Vision Conversational AI Deep Learning Docker GCP Kubernetes LLMs LoRA Machine Learning ML models MLOps Model deployment NLP Python PyTorch RAG Research TensorFlow
Perks/benefits: Career development Competitive pay
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