- Strongprogramming skills in languages such as Python Java orScala.
- Proficiency in data engineeringtechnologies such as Apache Spark Hadoop Kafka etc.
- Experience with machine learning frameworks such asTensorFlow PyTorch or scikitlearn.
- Familiaritywith cloud platforms such as AWS Azure or Google CloudPlatform.
- Solid understanding of softwareengineering principles and best practices.
- Excellent problemsolving and analyticalskills.
- Strong communication and collaborationskills with the ability to work effectively in a teamenvironment.
- Designdevelop and maintain scalable data pipelines and infrastructure tosupport machine learning models and applications.
- Collaborate with data scientists and software engineersto understand requirements and implement solutions that meetbusiness objectives.
- Clean preprocess andtransform raw data into a format suitable for analysis andmodeling.
- Implement and optimize algorithmsand models for machine learning and predictiveanalytics.
- Deploy machine learning models intoproduction environments and monitor their performance.
- Work closely with crossfunctional teams to integratemachine learning capabilities into existing products andsystems.
- Stay uptodate with the latest trendsand advancements in machine learning and data engineering and applythem to improve our processes and solutions.
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AIML Data Engineer - Pune, India - HTD Resources
Description
No. of Position: 5
Payroll: SA Tech
Client: NessTechnologies
Position: AIML DataEngineer
Exp: 69 Years
JobLocation: Kharadi Pune Hybrid (3 Days WFO)
Budget: 55.00 LPA
NP: 45 Days
Mandatory Skills: AIML Data Engineer Python withAWS/Azure.
Interview Process:
1st Round Internal TechnicalRound
2nd Round ClientTechnical Round
JobDescription:
We are seeking a talented AIML DataEngineer to join our team. The ideal candidate will have a strongbackground in data engineering machine learning and softwaredevelopment with a passion for leveraging data to drive insightsand create innovative solutions.
Requirements:
Responsibilities:
Name of theCandidate
Total Exp.(Yrs)
Rel. Exp.(Yrs)
ContactNo.
Email ID
Current Company
Current CTC
ExpectedCTC
Official NP (Negotiable) Mention reason ifimmediate
Current Location
Preferred Location
How many Pipeline done onSynapse and in current project or how long back
Readyto work in Hybrid Mode