AI/ML Engineer

Job Description

Job Description

AI/ML Engineer
Experience: 4–7 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Engineering

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should have experience building scalable ML models, integrating Large Language Models (LLMs), and working with cloud-based AI services. You will collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems.

• Design, develop, and deploy machine learning models.
• Build and optimize Generative AI and LLM-based applications.
• Fine-tune foundation models for business-specific use cases.
• Develop Retrieval-Augmented Generation (RAG) pipelines.
• Work with vector databases for semantic search applications.
• Perform data preprocessing, feature engineering, and model evaluation.
• Integrate AI models into production environments using APIs.
• Monitor model performance and implement continuous improvements.
• Collaborate with Product Managers, Data Scientists, and Software Engineers.
• Maintain technical documentation and best practices.

• Python
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• LangChain / LlamaIndex
• Retrieval-Augmented Generation (RAG)
• OpenAI API / Azure OpenAI
• Vector Databases (Pinecone, FAISS, ChromaDB)
• Prompt Engineering
• TensorFlow / PyTorch
• FastAPI
• Docker
• Git

• SQL
• Azure / AWS / GCP
• Kubernetes
• MLflow
• Hugging Face Transformers
• CI/CD Pipelines
• REST APIs
• Linux
• Elasticsearch
• Data Visualization (Power BI/Tableau)

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4–7 years of experience in Machine Learning or AI development.
• Strong programming skills in Python.
• Experience with LLMs, RAG, and vector search implementations.
• Knowledge of software development best practices and Agile methodologies.
• Excellent problem-solving and communication skills.

• Experience deploying AI applications on Azure or AWS.
• Familiarity with MLOps tools and model monitoring.
• Experience building AI-powered chatbots or intelligent assistants.
• Relevant certifications in AI, Machine Learning, or Cloud technologies.

USD $120,000 – $150,000 per annum (Based on experience, skills, and location)

• Health, Dental, and Vision Insurance
• Performance Bonus
• Flexible Work Hours
• Remote Work Options
• Paid Time Off
• Learning & Certification Reimbursement
• Employee Wellness Programs
• Career Growth Opportunities