AI Engineer

Job Description AI/ML & Automation Engineer

Location: Mohali (Work From Office)

Company: Oreta

Availability: Immediate joiners preferred

About Us

Oreta is a leading cloud and technology solutions provider, delivering innovation and excellence to our global clients. We are expanding our team in Mohali and looking for an AI/ML & Automation Engineer who is passionate about building next-generation AI solutions in Generative AI, NLP, Computer Vision, and Intelligent Automation.

Key Responsibilities

• Design, develop, and deploy AI/ML models and intelligent automation pipelines across NLP, Generative AI, and Computer Vision.
• Fine-tune and optimize LLMs (BERT, GPT, T5) and implement RAG pipelines for conversational AI and enterprise automation.
• Build end-to-end ML + automation pipelines, integrating cloud services (Azure Functions, AWS Lambda, Logic Apps, CI/CD) for scalable deployment.
• Develop and automate data preprocessing, ingestion, and monitoring workflows to ensure efficient ML lifecycle management.
• Research and implement GANs, Diffusion Models, CNNs for real-time analytics, detection, and automation-driven solutions.
• Collaborate with cross-functional teams to embed AI and automation into enterprise platforms.
• Stay updated with the latest advancements in AI/ML, automation frameworks, and DevOps practices to drive continuous improvement.

Required Skills & Experience

• Programming: Python, JavaScript, SQL, Git
• AI/ML Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, Pandas
• NLP & LLMs: Transformer architectures (BERT, GPT, T5), RAG, LangChain, Hugging Face, Prompt Engineering
• Automation & DevOps: Docker, CI/CD, Azure Functions, AWS Lambda, Logic Apps, FastAPI, Flask
• Computer Vision: GANs, Diffusion Models, CNNs, OpenCV
• Databases: Vector Databases (FAISS, Pinecone, ChromaDB), PostgreSQL, SQL
• Cloud: Azure (preferred), AWS, GCP (basic exposure)

Educational Qualification

Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related field.

What We Offer

• Opportunity to work on cutting-edge AI/ML & Automation projects with global impact.
• Collaborative, innovative, and growth-oriented work culture.
• Exposure to enterprise-grade AI and automation deployments on cloud platforms.
• Competitive compensation package.