- Tensorflow
- Hugging Face Transformers
- Docker
- Kubernetes
- AWS (Amazon Web Services)
- Artificial Intelligence (AI)
- Pytorch
- Jenkins
- Git
- Agile Development
Job Description
We are seeking a motivated and skilled AI Engineer with a strong background in Large Language Models (LLMs), Python programming, cloud technologies, and DevOps practices. As an AI Engineer, you will play a crucial role in designing, developing, and deploying cutting-edge AI solutions. This is a fantastic opportunity to contribute to innovative AI projects in a dynamic, remote-first environment.
About Company
Nextenders is a company that specializes in data-centric eProcurement solutions. Their offerings include Enterprise eProcurement, On-Demand eProcurement, and Catalogue Management.
We leverages LLMs, AI, Python Big Data to build intelligent, efficient, and insightful procurement solutions
Corporate Headquarters: Mumbai – 400 049 Maharashtra, India.
Location: Work From Home
Experience: 2-3 Years
Key Responsibilities:
Develop, fine-tune, and implement Large Language Models (LLMs) for various applications.
Utilize Python extensively for AI model development, data processing, and automation tasks.
Leverage cloud platforms (e.g., AWS, Azure, GCP) for training, deploying, and scaling AI models and infrastructure.
Implement and manage DevOps practices, including CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure as code.
Contribute to all phases of the AI development lifecycle, from research and prototyping to deployment and monitoring.
Collaborate with cross-functional teams to understand requirements and deliver effective AI solutions.
Stay up-to-date with the latest advancements in AI, LLMs, LangChain, and cloud technologies.
Ensure the reliability, scalability, and performance of AI systems.
Bachelor of Engineering in Information Technology (BE.IT) or a related field is preferred.
2-3 years of hands-on experience in AI development, with a focus on LLMs.
Proficiency in Python and its associated AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain).
Solid understanding and practical experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Experience with DevOps tools and methodologies (e.g., Git, Jenkins, Docker, Kubernetes).
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work independently and manage time effectively in a remote work environment.
