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Zenardy
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AI/ML Engineer

AI/ML Engineer

Zenardy

0 years

0 Lacs

Hyderabad Telangana India

Posted:1 day ago| Platform:

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Skills Required

ai ml learning design data preprocessing model training evaluation deployment monitoring software research scalability tensorflow pytorch networks vision docker aws gcp analysis engineering git testing mlflow sagemaker spark hadoop communication database tuning

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

Machine Learning / AI Engineer

Location:

Key Responsibilities:

Design, develop, and deploy machine learning models to solve complex business problems
Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring
Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems
Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate
Optimize models for performance, scalability, and robustness
Document methodologies, experiments, and findings clearly for both technical and non-technical audiences
Mentor junior ML engineers or data scientists as needed

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (Ph.D. is a plus)
Minimum of
5 hands-on ML/AI projects
, preferably in production or with real-world datasets
Proficiency in
Python
and ML libraries/frameworks like
TensorFlow, PyTorch, Scikit-learn, XGBoost
Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc.
Experience with model deployment using
APIs, containers (Docker), cloud platforms (AWS/GCP/Azure)
Strong data manipulation and analysis skills using
Pandas, NumPy
, and
SQL
Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing

Preferred Skills:

Experience with
MLOps
tools (MLflow, Kubeflow, SageMaker, etc.)
Familiarity with
big data technologies
like Spark, Hadoop, or distributed training frameworks
Experience working in
Fintech
environments would be a plus
Strong problem-solving mindset with excellent communication skills
Experience in working with vector database.
Understanding of RAG vs Fine-tuning vs Prompt Engineering

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