AIML Data Engineer

No. of Position: 5

Payroll: SA Tech

Client: Ness Technologies

Position: AIML Data Engineer

Exp: 69 Years

Job Location: Kharadi Pune Hybrid (3 Days WFO)

Budget: 55.00 LPA

NP: 45 Days

Mandatory Skills: AIML Data Engineer Python with AWS/Azure.

Interview Process:

1^st Round Internal Technical Round

2^nd Round Client Technical Round

Job Description:

We are seeking a talented AIML Data Engineer to join our team. The ideal candidate will have a strong background in data engineering machine learning and software development with a passion for leveraging data to drive insights and create innovative solutions.

Requirements:

• Strong programming skills in languages such as Python Java or Scala.
• Proficiency in data engineering technologies such as Apache Spark Hadoop Kafka etc.
• Experience with machine learning frameworks such as TensorFlow PyTorch or scikitlearn.
• Familiarity with cloud platforms such as AWS Azure or Google Cloud Platform.
• Solid understanding of software engineering principles and best practices.
• Excellent problemsolving and analytical skills.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.

Responsibilities:

• Design develop and maintain scalable data pipelines and infrastructure to support machine learning models and applications.
• Collaborate with data scientists and software engineers to understand requirements and implement solutions that meet business objectives.
• Clean preprocess and transform raw data into a format suitable for analysis and modeling.
• Implement and optimize algorithms and models for machine learning and predictive analytics.
• Deploy machine learning models into production environments and monitor their performance.
• Work closely with crossfunctional teams to integrate machine learning capabilities into existing products and systems.
• Stay uptodate with the latest trends and advancements in machine learning and data engineering and apply them to improve our processes and solutions.

Name of the Candidate

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Current Company

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Official NP (Negotiable) Mention reason if immediate

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How many Pipeline done on Synapse and in current project or how long back

Ready to work in Hybrid Mode