Job Description

We are looking for a talented

AI Engineer

with 2-3 years of experience in building and deploying AI/ML solutions. The ideal candidate will be passionate about applying cutting-edge AI techniques--including Natural Language Processing (NLP), Generative AI, Conversational AI, and Computer Vision--to solve complex real-world problems.

Key Responsibilities

Design, build, and deploy AI/ML models across NLP, Generative AI, LLMs, Conversational AI, Agentic AI Systems, Audio Processing, and Computer Vision. Implement advanced AI solutions leveraging frameworks such as LangChain, RAG, PyTorch, TensorFlow, Hugging Face, and Scikit-learn. Work with Python, R, SQL, and distributed frameworks like PySpark to process, analyze, and model large datasets. Integrate AI models into production systems using APIs and application frameworks (e.g., Flask, FastAPI, Streamlit). Collaborate with data scientists, engineers, and product teams to deliver end-to-end AI solutions. Optimize model performance, ensuring scalability, efficiency, and reliability in deployment. Apply version control practices (GitHub, GitLab, Bitbucket) and Agile tools (e.g., JIRA). Leverage cloud platforms (AWS, Azure, GCP) for AI model training, deployment, and monitoring. Develop clear visualizations and insights using tools such as Matplotlib, Seaborn, and Plotly.

Requirements


2-3 years of proven experience in AI/ML engineering. Strong background in NLP, LLMs, Conversational AI, Generative AI, Agentic AI Systems, Computer Vision, and Audio Processing. Hands-on expertise with AI frameworks and tools: LangChain, RAG, PyTorch, AutoGen, TensorFlow, Keras, Hugging Face, OpenAI APIs, Scikit-learn, FastAI. Strong programming skills in Python (must-have), with additional experience in R, SQL, NumPy, Pandas, SciPy, PySpark. Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads. Familiarity with visualization libraries and tools for insights (Matplotlib, Seaborn, Plotly). Practical knowledge of version control (GitHub, GitLab, Bitbucket) and Agile project management (JIRA). Experience deploying AI solutions into production using Flask, FastAPI, Elasticsearch, Streamlit, or similar tools.

Qualifications


Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field (Master's preferred). * Relevant certifications in AI/ML, cloud technologies, or data science are advantageous.