Designation: Gen AI Engineer

Location: Ahmedabad

Department: Technical

Job Summary:

We are looking enthusiastic Gen AI Engineer with 3 years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment.

Key Responsibilities:

• Develop and implement machine learning models tailored to business needs.
• Develop and fine-tune Generative AI models (e.g. LLMs diffusion models VAEs) using platforms like Hugging Face LangChain or OpenAI.
• Conduct data collection cleaning and pre-processing for model readiness.
• Train test and optimize models to improve accuracy and performance.
• Work closely with cross-functional teams to deploy AI models in production environments.
• Perform data exploration visualization and feature selection
• Stay up-to-date with the latest trends in AI/ML and experiment with new approaches.
• Design and implement Multi-Agent Systems (MAS) for distributed intelligence autonomous collaboration or decision-making.
• Integrate and orchestrate agentic workflows using tools like Agno CrewAI or LangGraph.
• Ensure scalability and efficiency of deployed solutions.
• Monitor model performance and perform necessary updates or retraining.

Requirements:

• Strong programming skills in Python and experience with libraries like Tensor Flow PyTorch Scikit-learn and Keras.
• Experience working with vector databases (Pinecone Weaviate Chroma) for RAG systems.
• Good understanding of machine learning concepts including classification regression clustering and deep learning.
• Knowledge of knowledge graphs semantic search or symbolic reasoning.
• Proficiency in working with tools such as Pandas NumPy and data visualization libraries.
• Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI.
• Familiarity with cloud platforms (AWS Google Cloud or Azure) for ML deployment.
• Knowledge of version control systems like Git.
• Experience with Natural Language Processing (NLP) computer vision or predictive analytics.
• Exposure to MLOps tools and workflows (e.g. MLflow Kubeflow Airflow).
• Basic familiarity with big data frameworks like Apache Spark or Hadoop.
• Understanding of data pipelines and ETL processes.

What we offer:

• Opportunity to work on live projects and client interactions.
• A vibrant and learning-driven work culture.
• 5 days a week & Flexible work timings.

Required Skills:

Python Tensorflow PyTorch keras machine learning deep learning generative AI (LLMs diffusion models VAEs) Hugging face LangChain OpenAI Model training model optimization model deployment RAG systems Flask FastAPI RESTAPIs