AI/ML Engineer

Company Description

Zaptech Solutions is a fast-growing technology solutions provider delivering innovative products and services in AI, ML, cloud, and software development. We pride ourselves on creating intelligent, scalable solutions that make real-world impact. Our team thrives on innovation, collaboration, and continuous learning.

Role Description

We are looking for an experienced AI/ML Engineer to join our team. The role involves developing, fine-tuning, and deploying advanced machine learning and deep learning models, including CNNs, RNNs, LLMs, and RAG pipelines, to power next-generation AI applications. This is a full-time on-site role for an AI/ML Engineer, located in Ahmedabad.

Key Responsibilities

• Design, develop, and deploy end-to-end ML/AI models.
• Work with large datasets: data cleaning, preprocessing, feature engineering, and EDA.
• Develop and optimize deep learning models (CNNs, RNNs, Transformers) for computer vision, NLP, and sequential data.
• Fine-tune and optimize large language models (LLMs) for domain-specific use cases.
• Build and implement RAG (Retrieval-Augmented Generation) pipelines with vector databases.
• Ensure model performance, scalability, and efficiency in real-time production environments.
• Collaborate with cross-functional teams (data engineers, developers, product managers).
• Stay updated on the latest research and trends in AI/ML and apply them to projects.

Required Skills & Experience

• Bachelors/Masters in Computer Science, Data Science, AI/ML, or related field.
• 35 years of proven experience in AI/ML engineering.
• Proficiency in Python with libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy.
• Strong understanding of ML concepts, deep learning (CNN, RNN, Transformers), NLP, and computer vision.
• Hands-on experience in LLM fine-tuning and prompt engineering.
• Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus) for RAG-based solutions.
• Experience deploying ML models using Flask/FastAPI, Docker, and cloud platforms (AWS/GCP/Azure).
• Strong analytical and problem-solving skills.
• Good communication and teamwork skills.

Good to Have

• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).
• Experience with big data frameworks (Spark, Hadoop).
• Familiarity with generative AI architectures and reinforcement learning.