Machine Learning Engineer || Hybrid

Role : AIML Engineer / Machine Learning Engineer

Exp : 8 - 13 Years

Location : Hyderabad

Work Mode : Hybrid

Job Overview:

Engineering Manager AI/ML

machine learning algorithms

Key Responsibilities:

• Design, develop, and productionalize ML/GenAI applications and models.
  
• Fine-tune, personalize, and evaluate machine learning and LLM models to enhance performance.
  
• Develop and optimize prompts for LLMs to generate accurate and context-aware responses.
  
• Lead architecture design for scalable, reliable, and cost-effective Generative AI solutions including

  RAG (Retrieval-Augmented Generation)

  and

  agentic workflows

  .
• Collaborate with cross-functional teams to preprocess, clean, and transform datasets for model training and prompt optimization.
  
• Build and deploy end-to-end ML pipelines on

  GCP

  or equivalent cloud platforms (AWS/Azure).
• Implement best practices for

  data cleaning, feature engineering, model training, validation, and deployment

  .
• Write clean, efficient, and scalable code for data processing, vector search, model evaluation, and inference serving.
  
• Lead and mentor a team of 4+ ML/Data Science professionals to ensure project success and innovation.
  
• Ensure applications meet performance, scalability, and security standards.
  

Required Skills & Experience:

• 8+ years of software engineering experience building secure, scalable, and performant applications.
  
• 5+ years of hands-on experience in designing and deploying ML/AI applications.
  
• 2+ years of experience leading ML/Data Science teams.
  
• Expertise in

  Machine Learning, Deep Learning, NLP, Vision AI, Conversational AI, Document Extraction

  , and

  Generative AI

  .
• Strong experience with

  LLMs

  ,

  Prompt Engineering

  ,

  RAG solutions

  , and

  model fine-tuning

  .
• Proficiency in

  Python

  ,

  NumPy

  ,

  Pandas

  , and ML libraries such as

  TensorFlow

  ,

  PyTorch

  ,

  Scikit-learn

  ,

  XGBoost

  , and

  LangChain

  .
• Experience with

  GCP

  ,

  AWS

  , or

  Azure

  cloud platforms.
• Proven experience building and deploying ML models in production environments.
  
• Excellent communication, collaboration, and problem-solving abilities.
  

Good to Have:

• Google Cloud Certified Professional Machine Learning Engineer or TensorFlow Certified Developer.
  
• Experience with

  AutoML

  and

  Computer Vision

  techniques.
• Master’s degree in

  Computer Science

  ,

  Statistics

  ,

  Machine Learning

  , or a related field.