What are the responsibilities and job description for the AI/ML Engineer position at Ccube?
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AI/ML Engineers
Job Type: Full-time
Location: Indore, MP
We are seeking AI/ML Interns and Junior AI/ML Engineers to join our team and work on building innovative AI applications. You will collaborate with senior engineers on projects related to Generative AI, vector databases, and NLP models, contributing to both proprietary and open-source tools like LangChain and LlamaIndex. This role offers an excellent opportunity for those eager to deepen their AI/ML knowledge and grow in the field.
Key Responsibilities:
● AI Application Development:
○ Assist in designing and implementing AI models using Generative AI tools such as LangChain and LlamaIndex.
○ Support the development of retrieval-augmented generation (RAG) systems, working on data processing, embeddings, and search optimizations.
● Open-Source Contribution:
○ Actively contribute to open-source AI/ML projects like LangChain, LlamaIndex, or other similar frameworks.
○ Stay up-to-date with industry trends and new developments in AI/ML, applying the best practices from the open-source community to internal projects.
● AI/ML Engineering:
○ Help manage and integrate vector databases (e.g., FAISS, Milvus, Weaviate) for AI applications.
○ Implement basic NLP models and integrate with APIs from LLM providers such as OpenAI, Cohere, and Anthropic.
● Cloud & Infrastructure:
○ Assist in deploying AI models on cloud platforms (AWS, GCP, or Azure) and learn how to scale these systems for production environments.
○ Work with cloud-based AI services (e.g., AWS SageMaker, GCP AI Platform) to manage and deploy machine learning models.
Minimum Requirements:
● For Junior AI/ML Engineers:
○ Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
○ 1-2 years of professional experience in AI/ML development, with exposure to NLP, machine learning frameworks, and Generative AI tools.
○ Familiarity with Python and AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
○ Basic knowledge of vector databases (e.g., FAISS, Weaviate, Milvus) and embeddings.
● For AI/ML Interns:
○ Currently pursuing a Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field, with an expected graduation in 2 to 3 semesters.
○ Familiarity with Python, and basic exposure to AI/ML tools and libraries (e.g., PyTorch, TensorFlow).
○ A strong willingness to learn and a passion for AI/ML development.
Preferred Skills (For Both Roles):
● Exposure to or experience with Generative AI tools like LangChain, LlamaIndex, or Hugging Face Transformers.
● Experience with cloud services such as AWS, GCP, or Azure for deploying AI applications.
● Understanding of machine learning model lifecycles and best practices in software development (Git, CI/CD).
[About Ccube]
Ccube delivers measurable impact across industries with singular focus on Data AI in the Cloud.
Our Expertise:
● Data Strategy & Architecture
● Gen AI Services
● Data Engineering & Integration
● Analytics & AI
● Cloud, DataOps & MLOps
Join our team and gain access to free, cutting-edge training in Python and AI/ML, offered to all successful candidates. Elevate your skills while working with us!
[Life @Ccube]
At Ccube we,
● Do more with less
● Deliver WOW through service
● Embrace and drive change and
● Stay humble
Benefits
● Startup culture with opportunity to grow.
● Performance bonuses.
● Company stock options.
● Health, dental and vision insurance plans.
● Pursue growth and learning with career development expenses.
AI/ML Engineers
Job Type: Full-time
Location: Indore, MP
We are seeking AI/ML Interns and Junior AI/ML Engineers to join our team and work on building innovative AI applications. You will collaborate with senior engineers on projects related to Generative AI, vector databases, and NLP models, contributing to both proprietary and open-source tools like LangChain and LlamaIndex. This role offers an excellent opportunity for those eager to deepen their AI/ML knowledge and grow in the field.
Key Responsibilities:
● AI Application Development:
○ Assist in designing and implementing AI models using Generative AI tools such as LangChain and LlamaIndex.
○ Support the development of retrieval-augmented generation (RAG) systems, working on data processing, embeddings, and search optimizations.
● Open-Source Contribution:
○ Actively contribute to open-source AI/ML projects like LangChain, LlamaIndex, or other similar frameworks.
○ Stay up-to-date with industry trends and new developments in AI/ML, applying the best practices from the open-source community to internal projects.
● AI/ML Engineering:
○ Help manage and integrate vector databases (e.g., FAISS, Milvus, Weaviate) for AI applications.
○ Implement basic NLP models and integrate with APIs from LLM providers such as OpenAI, Cohere, and Anthropic.
● Cloud & Infrastructure:
○ Assist in deploying AI models on cloud platforms (AWS, GCP, or Azure) and learn how to scale these systems for production environments.
○ Work with cloud-based AI services (e.g., AWS SageMaker, GCP AI Platform) to manage and deploy machine learning models.
Minimum Requirements:
● For Junior AI/ML Engineers:
○ Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
○ 1-2 years of professional experience in AI/ML development, with exposure to NLP, machine learning frameworks, and Generative AI tools.
○ Familiarity with Python and AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
○ Basic knowledge of vector databases (e.g., FAISS, Weaviate, Milvus) and embeddings.
● For AI/ML Interns:
○ Currently pursuing a Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field, with an expected graduation in 2 to 3 semesters.
○ Familiarity with Python, and basic exposure to AI/ML tools and libraries (e.g., PyTorch, TensorFlow).
○ A strong willingness to learn and a passion for AI/ML development.
Preferred Skills (For Both Roles):
● Exposure to or experience with Generative AI tools like LangChain, LlamaIndex, or Hugging Face Transformers.
● Experience with cloud services such as AWS, GCP, or Azure for deploying AI applications.
● Understanding of machine learning model lifecycles and best practices in software development (Git, CI/CD).
[About Ccube]
Ccube delivers measurable impact across industries with singular focus on Data AI in the Cloud.
Our Expertise:
● Data Strategy & Architecture
● Gen AI Services
● Data Engineering & Integration
● Analytics & AI
● Cloud, DataOps & MLOps
Join our team and gain access to free, cutting-edge training in Python and AI/ML, offered to all successful candidates. Elevate your skills while working with us!
[Life @Ccube]
At Ccube we,
● Do more with less
● Deliver WOW through service
● Embrace and drive change and
● Stay humble
Benefits
● Startup culture with opportunity to grow.
● Performance bonuses.
● Company stock options.
● Health, dental and vision insurance plans.
● Pursue growth and learning with career development expenses.
