AI/ML Engineer

ClientServer Technology Solutions LLC

1 - 3 years

0 Lacs

hyderābād

Posted:13 hours ago| Platform: GlassDoor logo

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Skills Required

ai ml design learning programming data test preprocessing engineering model scalability research tensorflow pytorch regression clustering analysis numpy matplotlib software mlflow aws azure docker monitoring drift certifications

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: AI/ML Engineer (1–3 Years Experience)

Location:Hyderabad

Work Mode :Work From Office

Job Summary:

We are seeking a passionate AI/ML Engineer with 1 to 3 years of experience to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong programming skills, hands-on experience with ML frameworks, and a solid understanding of data-driven problem solving.

Key Responsibilities:

Develop, train, test, and deploy machine learning models
Work with structured and unstructured datasets to build AI solutions
Perform data preprocessing, feature engineering, and model evaluation
Collaborate with data engineers, data scientists, and product teams
Optimize model performance, scalability, and accuracy
Integrate ML models into production applications via APIs
Monitor model performance and retrain models as required
Research and implement new AI/ML techniques and tools
Document model designs, workflows, and experiments

Required Skills & Qualifications:

Bachelor’s degree in Computer Science, Data Science, AI, or a related field
1–3 years of hands-on experience in AI/ML development
Strong programming skills in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Good understanding of machine learning algorithms (regression, classification, clustering, NLP basics)
Experience with data analysis libraries (NumPy, Pandas, Matplotlib/Seaborn)
Familiarity with SQL and data handling techniques
Basic understanding of software engineering best practices and Git

Preferred Skills (Good to Have):

Experience with Deep Learning, NLP, or Computer Vision
Exposure to MLOps tools (MLflow, Kubeflow, Airflow)
Experience deploying models on AWS, Azure, or GCP
Knowledge of Docker and Kubernetes
Understanding of model monitoring, drift detection, and retraining strategies
AI/ML certifications or relevant coursework

Job Type: Full-time

Pay: ₹200,000.00 - ₹1,704,340.98 per year

Work Location: In person

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