AI/ML Engineer (WFO - Ahmedabad)

Job Title: AI/ML Engineer

• Location: Ahmedabad
• Type: Full-Time
• Experience Level: 3+ years

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.

Youll 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.

Key Responsibilities

• 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.

• Bachelors or Masters 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.
• Hands-on 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.

• Experience with LangChain, LlamaIndex, CrewAI or similar AI orchestration frameworks.
• Experience fine-tuning open-source LLMs.
• Knowledge of multimodal AI (Vision, Speech, OCR, Document Intelligence).
• Familiarity with HuggingFace ecosystem and open-source foundation models.

Skills: ml,python,ai/ml,machine learning,pytorch,deep learning,artificial intelligence