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Lead Data Scientist (LLM, AIML, Agentic AI)- Mumbai Job Opening In India, India – Now Hiring HERE Technologies


Job description

HERE Technologies is a location data and technology platform company.

We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see.

We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives.

If you are inspired by an open world and driven to create positive change, join us.

Learn more about us on our

YouTube Channel.

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map.

We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services.

The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

Responsibilities:
Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maping data decisions and system control needs.
Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
Function as a predictive modeling or application team lead on Core Map projects.

Requirements:
• MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
• Minimum of 7+ years related professional experience.
• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.

Should have expert-level knowledge in one or more of these areas.
• Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
• Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
• Programming experience with SQL, shell script, Python, etc.
• Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
• Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
• Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Qualifications:
• Development experience with and Scala
• Development experience with Docker
• Development experience with GIS data
• Development experience with NoSQL (i.e. DynamoDB)

Required Skill Profession

Mathematical Science Occupations


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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 HERE Technologies 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

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The average salary range for a varies, but the pay scale is rated "Standard" in India. 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.

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Key qualifications for Lead Data Scientist (LLM, AIML, Agentic AI) Mumbai 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 Lead Data Scientist (LLM, AIML, Agentic AI) Mumbai Job Success

HERE Technologies interview tips for Lead Data Scientist (LLM, AIML, Agentic AI)  Mumbai

Here are some tips to help you prepare for and ace your Lead Data Scientist (LLM, AIML, Agentic AI) Mumbai job interview:

Before the Interview:

Research: Learn about the HERE Technologies'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 Lead Data Scientist (LLM, AIML, Agentic AI) Mumbai interview at HERE Technologies, 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 HERE Technologies'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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