AI Engineer - 8 yrs Exp

4 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Python; cloud AI/ML and data services; data engineering; ETL/ELT pipeline design

Job Title: AI Engineer

Experience:

Location:

Job Summary:

We are seeking an AI Engineer withexpertise in both data engineering and AI/ML solution implementation. The idealcandidate will have hands-on experience designing, building, and optimizingscalable data pipelines as well as developing and deploying AI/ML models thataddress real-world business problems.


KeyResponsibilities:

AI/ML Engineering

o  ApplyAI/ML techniques to business use cases in predictive modeling, NLP, computervision, and optimization.

o  Collaboratewith stakeholders to translate business requirements into AI-driven solutions.

o  Developand maintain production-ready pipelines for model training, deployment, andmonitoring.

o  Continuouslyevaluate and optimize model performance for accuracy, scalability, andcost-efficiency.

Data Engineering

o  Design,build, and maintain scalable ETL/ELT pipelines for structured andunstructured data.

o  Workwith big data platforms (e.g., Spark, Databricks, Hadoop) to prepareand transform large datasets.

o  Ensure dataquality, integrity, and governance in AI/ML workflows.

o  Collaboratewith data architects and analysts to design logical and physical datamodels.

o  Implement dataintegration and orchestration workflows using modern tools andcloud-native services.

General Engineering & Collaboration

o  Leverage Pythonscripting for automation, data transformation, and API integrations.

o  IntegrateAI models into enterprise applications, APIs, and cloud-based environments.

o  Ensurecompliance with security, governance, and privacy standards in data and AIsolutions.

o  Stayup to date with emerging data engineering and AI/ML frameworks, tools, and bestpractices.

RequiredQualifications:

8 years of IT experience

4 years of hands-on experience

Python

ETL/ELT pipeline design

big data tools

cloud AI/ML and dataservices

MLOps practices

�       Strong problem-solving ability andbusiness mindset for applied AI solutions.

�       Experience with containerization(Docker, Kubernetes) for AI/ML workloads.

�       Exposure to NLP, Computer Vision, orGenerative AI projects.

Familiarity with CI/CDpipelines for AI and data workflows.


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