Artificial Intelligence Engineer

Company Description :

SprintPark is a comprehensive IT consulting and solutions provider located in Hyderabad. We focus on delivering tailored, efficient, and innovative solutions to meet the evolving needs of businesses. Our services include IT consulting, staffing, project management, and software solutions aimed at driving business success and fostering long-term partnerships.

Job Description :

AI Specialist / Machine Learning Engineer

Location : On-site (Hyderabad)

Department : Data Science & AI Innovation

Experience Level : Mid–Senior

Reports To : Director of AI / CTO

Employment Type : Full-time

Job Summary We are seeking a skilled and forward-thinking AI Specialist to join our advanced technology team. In this role, you will lead the design, development, and deployment of cutting-edge AI / ML solutions, including large language models (LLMs), multimodal systems, and generative AI. You will collaborate with cross-functional teams to develop intelligent systems, automate complex workflows, and unlock insights from data at scale.

Key Responsibilities

• Design and implement machine learning models for natural language processing (NLP), computer vision, predictive analytics, and generative AI.
• Fine-tune and deploy LLMs using frameworks such as Hugging Face Transformers, OpenAI APIs, and Anthropic Claude.
• Develop Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Weaviate, Qdrant).
• Productionize ML workflows using MLflow, TensorFlow Extended (TFX), or AWS SageMaker Pipelines.
• Integrate generative AI with business applications, including Copilot-style features, chat interfaces, and workflow automation.
• Collaborate with data scientists, software engineers, and product managers to build and scale AI-powered products.
• Monitor, evaluate, and optimize model performance, focusing on fairness, explainability (e.g., SHAP, LIME), and data / model drift.
• Stay informed on cutting-edge AI research (e.g., NeurIPS, ICLR, arXiv) and evaluate its applicability to business challenges.

Tools & Technologies Languages & Frameworks

ML & AI Platforms

Data & Deployment

Vector Databases & RAG Tools

Generative & Multimodal AI

Qualifications

Preferred Qualifications