Overview

Job Title: AI/ML Engineer

Responsibilities

• As an AI/ML Engineer at SolGuruz, you will design, develop, deploy, and optimize intelligent AI/ML solutions that solve real-world business problems. You will work across traditional Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Generative AI to build scalable AI-powered applications.
• You'll collaborate closely with product managers, software engineers, and AI researchers to transform data into production-ready intelligent systems while contributing to our growing AI ecosystem.
• Design, develop, train, evaluate, and deploy scalable Machine Learning and Deep Learning models.
• Build AI-powered applications across Computer Vision, Natural Language Processing (NLP), Generative AI, Recommendation Systems, and Predictive Analytics.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, AI Agents, and LLM-powered applications.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• Integrate AI models with web and backend applications through APIs and microservices.
• Collaborate with product managers, software engineers, and designers to translate business requirements into AI solutions.
• Optimize model performance for accuracy, latency, scalability, and cost efficiency.
• Implement MLOps best practices including model versioning, CI/CD, automated retraining, and production monitoring. Research, prototype, and evaluate emerging AI technologies to improve existing products and identify new opportunities. Contribute to reusable AI components, internal frameworks, documentation, and engineering best practices.

Qualifications

• Bachelor's or
• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Strong programming skills in Python with experience building production-grade applications. Solid
• understanding of Machine Learning and Deep Learning fundamentals, including supervised and unsupervised learning.
• experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar ML libraries. Experience working with Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral, etc.) and modern Generative AI concepts.
• Familiarity with RAG architectures, embeddings, prompt engineering, and vector databases (FAISS, Chroma, Pinecone, Weaviate, pgvector, etc.). Experience developing and consuming REST APIs. Good
• understanding of SQL/NoSQL databases and data processing techniques.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with MLOps tools and practices (MLflow, SageMaker, Azure ML, Vertex AI, Kubeflow, Docker, CI/CD). Strong analytical thinking, problem-solving, and debugging skills. Excellent communication and collaboration skills with cross-functional teams.
• Skills: ml,python,ai/ml,machine learning,pytorch,deep learning,artificial intelligence .