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Search Engineer - Artificial Intelligence/Machine Learning Job Opening In Pune – Now Hiring Workeagle


Job description

<p><p><b>Job Description </b><b>Mandatory Lead Search Engineer / AI-ML Leader Profile :</b></p><p><b><br/></b></p><p><b>- Mandatory (Experience 1)</b> - Must have minimum 11+ years of hands-on experience in Search / Information Retrieval / NLP / Machine Mandatory (Experience 2)</b> - Must have minimum 9+ YOE in backend development using languages (Python or Java)</p><p><br/><p><b>- Mandatory (Experience 3)</b> - Must have Experience designing taxonomy, ontology, tags, thesaurus, and metadata models</p><p><br/><p><b>- Mandatory (Experience 4)</b> - Must have Experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads</p><p><br/><b>- Mandatory (Experience 5)</b> - Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).</p></p></p><br/><b>- Mandatory (Experience 6)</b> - Must have experience in designing, building, and scaling RESTful APIs and Web Services.<br/><br/><b>- Mandatory (Experience 7)</b> - Must have hands-on experience in statistical tools (Python, R, SAS, or open-source libraries).<br/><br/><b>- Mandatory (Experience 8)</b> - Must have Experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB).

</p><p><br/></p><p><b>Role & Responsibilities :</b></p><p><br/></p><p>- The Primary focus of this role is to develop and manage applications involved with Search Systems.

</p><p><br/></p><p>- Maintain and upgrade search indices for large document repositories, as well as optimizing indexing/queries and supporting analytics.

</p><p><br/></p><p>- He will be leading a Team of search engineers who build Tags, taxonomy, Thesaurus and ontology data models and standard to define and organize our customers search experience.<br/><br/>- Drive and coordinate cross-functional projects with broad range of Loan, Insurance and investment products owners, engineers, designers and other groups that may include architecting new data solutions<br/><br/>- Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.

</p><p><br/></p><p>- Collaborate and consult directly with key stakeholders, technical teams and leadership on solutions for taxonomy and metadata that will positively impact the customers search experience<br/><br/>- Expand and refine data retrieval techniques.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Search Engineer Potential: Insight & Career Growth Guide


Real-time Search Engineer 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 Search Engineer in Pune, India, highlighting market share and opportunities for professionals in Search Engineer roles.

562362 Jobs in India
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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 Workeagle 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 Search Engineer Artificial Intelligence/Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pune. 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 Search Engineer Artificial Intelligence/Machine Learning?

Key qualifications for Search Engineer Artificial Intelligence/Machine Learning typically include Computer 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 Search Engineer Artificial Intelligence/Machine Learning Job Success

Workeagle interview tips for Search Engineer   Artificial Intelligence/Machine Learning

Here are some tips to help you prepare for and ace your Search Engineer Artificial Intelligence/Machine Learning job interview:

Before the Interview:

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

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Search Engineer Artificial Intelligence/Machine Learning interview at Workeagle, 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 Workeagle'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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