About

- Technology consulting and product engineering company delivering global digital solutions across Application Development, Cloud, Data & Analytics, Digital Transformation, ERP/CRM, Cyber Security, Product Engineering, and Technology Consulting.

Position Overview

- We are seeking a hands-on AI/ML Engineer to design, develop, deploy, and optimize machine learning and generative AI solutions that solve real business problems and create measurable impact, using Python, up-to-date ML frameworks, LLMs, and cloud platforms.

Key Responsibilities

- Build, train, evaluate, and deploy machine learning models across NLP, LLM, computer vision, or predictive analytics use cases.
- Develop robust data pipelines and feature engineering workflows that turn raw data into reliable, model-ready datasets.
- Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures for generative AI applications.
- Run experiments and benchmark models to select the right approach, then monitor model performance in production and apply MLOps best practices.
- Collaborate with product, engineering, and business teams to translate business problems into AI solutions and keep delivery aligned with project goals.

Technical Skills

Mandatory

- Python (NumPy, Pandas,



Scikit-learn); PyTorch and/or TensorFlow
- Machine Learning and Deep Learning fundamentals
- LLMs, Prompt Engineering, Vector Databases, and RAG
- SQL and data processing
- Azure, AWS, or GCP; Git, CI/CD, and MLOps concepts

Good to Have

- Azure AI, OpenAI, LangChain, Semantic Kernel, or similar frameworks
- Docker and Kubernetes
- Model deployment and monitoring in production environments

Required Qualifications

- Bachelors or masters degree in Computer Science, AI, Data Science, Statistics, or related field with 25 years of hands-on experience in machine learning or AI development.
- Hands-on experience taking ML or generative AI models from experimentation through to deployment.
- Solid understanding of model evaluation, experimentation, and benchmarking practices.

Preferred Skills

- Strong analytical and problem-solving skills, with a structured, experiment-driven approach.
- Excellent communication skills, with the ability to explain model results and trade-offs to technical and non-technical stakeholders.
- Commitment to high-quality model performance, scalable deployments, and continuous improvement of AI solutions.

📌 AI/ML Engineer (Hyderabad)
🏢 Aspire Talent Innovations
📍 Hyderabad