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AIML Engineer

Job in 500001, Hyderabad, Telangana, India
Listing for: SRS Consulting Inc
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Role Overview
We are looking for a skilled AI/ML Engineer with 4- 5 years of experience to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data science, model building, and production deployment, along with a problem-solving mindset.

Key Responsibiliti
es Design, develop, and optimize machine learning and deep learning models for real-world applicatio
nsWork with large datasets: data cleaning, preprocessing, feature engineeri
ng Build and deploy scalable ML pipelines in production environmen
ts Collaborate with cross-functional teams including product, data engineering, and software tea
ms Implement NLP, computer vision, or predictive analytics solutions (based on business need
s)
Monitor model performance and retrain models as need
ed Conduct A/B testing and performance tuni
ngStay updated with the latest advancements in AI/ML technologi

es
Required Skills & Qualificati
ons Bachelor’s or Master’s degree in Computer Science, Data Science, or related fi
eld4+ years of hands-on experience in AI/ML developm
ent Strong programming skills  in Pyt hon (mandato
ry)

Experience with ML libraries/framewor
ks:

Tensor Flow / PyTorch / Scikit-le
arn Solid understanding
of:

Supervised & Unsupervised Learn
ingDeep Learning conce
pts Model evaluation techniq
ues

Experience with data handling too
ls:

Pandas, Num Py,
SQL Familiarity with cloud platfor
ms:

AWS / Azure /
GCPExperience in deploying models using APIs (Flask/FastA
PI)
Knowledge of version control (Git) and CI/CD pipeli

nes Preferred Qualificati
ons

Experience with NLP (e.g., Transformers, BERT) or Computer Vis
ion Exposure to MLOps tools (MLflow, Kubeflow, Docker, Kubernet
es)
Knowledge of big data tools (Spark, Hado
op)
Experience working in Agile/Scrum environme

nts
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