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Data Scientist - Machine Learning Job Opening In Hyderabad – Now Hiring Worksconsultancy


Job description

<p><p><p>Job Description :<br/><br/>The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms.

They must be at ease working in an agile environment with little supervision.

The person should be a self-motivated person with a passion for problem-solving and continuous learning.<br/><br/>Designation :<br/><br/>Project Tech.

Lead (4A) : 5 - 7 Years<br/><br/>Project Manager/Architect (4B/5A) : 7 - 10 Years<br/><br/>Role and responsibilities :<br/><br/>- Project Management (50%)<br/><br/>- Front Door (Requirements, Metadata collection, classification & security clearance)<br/><br/>- Data pipeline template development<br/><br/>- Data pipeline Monitoring development & support (operations)<br/><br/>- Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.<br/><br/>- Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.<br/><br/>- Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.<br/><br/>Technical skills requirements :<br/><br/>The candidate must demonstrate proficiency in :<br/><br/>- Experience deploying machine learning models into a production environment.<br/><br/>- Strong DevOps, Data Engineering and ML background with Cloud platforms<br/><br/>- Experience in containerization and orchestration (such as Docker, Kubernetes)<br/><br/>- Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open-source frameworks.<br/><br/>- Experience building/operating systems for data extraction, ingestion and processing of large data sets<br/><br/>- Experience with MLOps tools such as MLFlow and Kubeflow<br/><br/>- Experience in Python scripting<br/><br/>- Experience with CI/CD<br/><br/>- Fluency in Python data tools e.g. Pandas, Dask, or Pyspark<br/><br/>- Experience working on a large scale, distributed systems<br/><br/>- Python/Scala for data pipelines<br/><br/>- Scala/Java/Python for micro-services and APIs<br/><br/>- HDP, Oracle skills & SQL; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)<br/><br/>Nice-to-have skills :<br/> <br/>- Jenkins, K8S<br/><br/>- Google Cloud certification<br/><br/>- Unix or Shell scripting</p></p></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Hyderabad, India, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist Machine Learning Job?

Great news! is currently hiring and seeking a Data Scientist Machine Learning to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Worksconsultancy adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Scientist Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist Machine Learning?

Key qualifications for Data Scientist Machine Learning typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist Machine Learning Job Success

Worksconsultancy interview tips for Data Scientist   Machine Learning

Here are some tips to help you prepare for and ace your Data Scientist Machine Learning job interview:

Before the Interview:

Research: Learn about the Worksconsultancy's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Data Scientist Machine Learning interview at Worksconsultancy, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Worksconsultancy's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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