AI/ML Engineer

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work® and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.

Job Summary 

We are seeking an experienced AI/ML Engineer to join our software engineering team, focusing on building innovative AI applications. As an AI/ML Engineer, you will design, develop, and deploy state-of-the-art AI models and algorithms that power our products and services. 

Responsibilities 

• Design, develop, and deploy scalable AI/ML models and systems
• Collaborate with cross-functional teams, including product, design, and research, to identify and prioritize AI/ML project opportunities
• Develop and maintain datasets for training and testing AI/ML models
• Implement and optimize AI/ML algorithms using popular AI frameworks (e.g. Hugging Face, LangChain, Llama Index, TensorFlow, PyTorch, Scikit-learn) 
• Prepare and preprocess data for training AI/ML models, including data cleaning, tokenization, and feature engineering 
• Fine-tune and adapt pre-trained AI/ML models for specific use cases and applications 
• Work with software engineers to integrate AI/ML models into larger software systems 
• Stay up to date with the latest advancements in AI/ML research and apply them to real-world problems 
• Communicate complex AI/ML concepts and results to both technical and non-technical stakeholders 

Requirements 

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields
• 4+ years of industry experience in AI/ML engineering, with a focus on Deep Learning and NLP
• Strong programming skills in languages such as Python, Java, and/or C++
• Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow), NLP libraries (e.g., NLTK, spaCy, Scikit-learn) and LLM focused libraries (e.g., LangChain, Llama Index, Open AI, Hugging Face)
• Strong understanding of AI/ML fundamentals, including machine learning algorithms, statistical modeling, and data structures
• Familiarity with vector databases (e.g., Qdrant, Pinecone, Faiss) and their applications in generative AI 
• Knowledge of techniques for efficient AI/ML model deployment, including model pruning, quantization, and knowledge distillation 
• Experience with generative AI models, including transformer-based architectures (e.g., BERT, T5) 
• Experience with cloud-based AI/ML platforms (e.g., Azure AI Foundry, AWS SageMaker, or Google Cloud AI Platform) and containerization (e.g., Docker) 
• Excellent problem-solving skills, with the ability to debug complex software and AI/ML systems 
• Strong communication and collaboration skills, with experience working with cross-functional teams 

Nice to Have 

• Ph.D. in Computer Science, Electrical Engineering, or related fields
• Experience with other AI/ML areas, such as computer vision or reinforcement learning
• Familiarity with software development methodologies (e.g., Agile, Scrum)
• Knowledge of Agentic AI and its applications in real-world systems
• Experience with Retrieval-Augmented Generation (RAG) models and their applications in NLP and Conversational AI 
• Experience with DevOps practices and tools (e.g., Azure DevOps, Kubernetes)

Our Culture:

• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
• Flat hierarchy with fast decision making and a startup-oriented “get things done” culture
• A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.

At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.