Role Description:

This is a full-time, on-site role. As an AI Engineer, you will be responsible for developing innovative AI models and software solutions to address real-world challenges. You will collaborate with cross-functional teams to identify business opportunities and provide customized solutions. You will also work alongside talented engineers, designers, and data scientists to implement and maintain these models and solutions.

Technical Skills Required:

• Programming Languages: Python (and other AI-supported languages)
• Generative AI: LLMs (e.g., GPT, LLaMA), LangChain, Hugging Face Transformers, OpenAI API
• Databases: SQL, MongoDB
• Vector Databases: FAISS, Pinecone, Weaviate, ChromaDB
• Python Libraries: NumPy, Pandas, Scikit-learn, Streamlit
• Deep Neural Networks: CNN, RNN, and LLM
• Data Analysis Libraries: TensorFlow, Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Board
• Frameworks: Flask, Django
• Operating Systems: Ubuntu, Windows
• Tools: Jupyter Notebook, PyCharm IDE, Excel, Roboflow
• Big Data (Bonus): Hadoop (Hive, Sqoop, Flume), Kafka, Spark
• Code Repository Tools: Git, GitHub
• DevOps-AWS: Docker, Kubernetes, Instance hosting and management

Analytical Skills

• Exploratory Data Analysis
• Predictive Modeling
• Text Mining
• Natural Language Processing
• Machine Learning
• Image Processing
• Object Detection
• Instance Segmentation
• Deep Learning
• DevOps AWS Knowledge

Expertise

• Proficiency in TensorFlow library with RNN and CNN
• Familiarity with pre-trained models like VGG-16, ResNet-50, and Mobile Net
• Knowledge of Spark Core, Spark SQL, Spark Streaming, Cassandra, and Kafka
• Designing and Architecting Hadoop Applications
• Experience with chat-bot platforms (a bonus)

Responsibilities

• The entire lifecycle of model development
• Data Collection and Preprocessing
• Model Development
• Model Training
• Model Testing
• Model Validation
• Deployment and Maintenance
• Collaboration and Communication

Qualifications

• Bachelor's or Master's degree in a relevant field (AI, Data Science, Computer Science, etc.)
• Minimum 2 years of experience developing and deploying AI-based software products
• Strong programming skills in Python (and potentially C++ or Java)
• Experience with machine learning libraries (TensorFlow, PyTorch, Kera's, scikit-learn)
• Experience with  Generative AI  (e.g., LLMs, prompt engineering, RAG pipelines using tools like LangChain or Hugging Face)
• Experience with  Vector Databases  (e.g., FAISS, Pinecone, Weaviate) for semantic search and retrieval-augmented generation
• Experience with computer vision, natural language processing, or recommendation systems
• Experience with cloud computing platforms (Google Cloud, AWS)
• Problem-solving skills
• Excellent communication and presentation skills
• Experience with data infrastructure and tools (SQL, NoSQL, and big data platforms)
• Teamwork skills

Join Us!

If you are passionate about AI and want to contribute to groundbreaking projects in a dynamic startup environment, we encourage you to apply! Be part of our mission to drive technological advancement in India.

Drop Your CV - hr@aiunika.com