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, contemporary 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 settings

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
Solid 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