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Data Scientist/Machine Learning Engineer Job Opening In Bengaluru – Now Hiring Hitachi Vantara


Job description

The Role

We are looking for a skilled Data Scientist/ML Engineer with a good background in statistical and machine learning methods, with a specialized focus on natural language processing (NLP).

The ideal candidate needs to have good knowledge of model training, retraining and optimization and will proactively collaborate in productionising end-to-end machine learning solutions at scale.

What you’ll bring

Understand business and product needs and use classical ML methods or advanced AI techniques to solve them at scale
Design, train, and fine-tune machine learning models for information extraction (PII extraction), and evaluate model performance using relevant metrics and iteratively improve the models.
• Communicate and collaborate with engineering/cross-functional teams to implement a feedback mechanism to optimise the models by training, tuning and evaluating them on a timely basis
What you will need:
• Bachelors Degree in Engineering or equivalent, with 5-8 years of experience in solving industry problems using statistical, traditional ML and AI methods with proven experience in developing machine learning or NLP models, particularly for information extraction tasks
• Enthusiastic learner and skilled in both theory and practice of basic statistical methods such as regression, clustering, general ML algorithms such as SVM, tree-based methods, neural networks etc.

for solving supervised and unsupervised problems.
Experience working on advanced NLP methods like feature extraction, tagging and entity recognition and classification to identify sensitive information that comply with relevant data privacy regulations from structured and unstructured data sources.
• Understanding of data privacy regulations and best practices.
• Good Understanding of evaluation metrics specific to NLP tasks.
Skills in working with LLMs through prompt engineering, fine-tuning pre-trained models on specific datasets for targeted applications, etc would be good to have
• Work closely with data engineers, software developers, and other stakeholders to integrate the solutions into existing systems with systemic feedback and continuous training and optimization.

Technical Skills:
•Proficiency in programming languages such as Python
• Experience with machine learning frameworks (e.g., Sklearn, TensorFlow, PyTorch).
• Experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
• Good to have: Familiarity with libraries and frameworks commonly used for LLMs (e.g., Hugging Face Transformers, LlamaIndex, LangChain etc).

About us We’re a global team of innovators.

Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges.

We turn organizations into data-driven leaders that can a make positive impact on their industries and society.

If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.

#LI-SP7

Championing diversity, equity, and inclusion

Diversity, equity, and inclusion (DEI) are integral to our culture and identity.

Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results.

We want you to be you, with all the ideas, lived experience, and fresh perspective that brings.

We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing.

We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent).

We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas.

So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic.

Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.


Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

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Are You Looking for Data Scientist/Machine Learning Engineer Job?

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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 Hitachi Vantara 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 Engineer Positions?

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

Key qualifications for Data Scientist/Machine Learning Engineer 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 Engineer Job Success

Hitachi Vantara interview tips for Data Scientist/Machine Learning Engineer

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

Before the Interview:

Research: Learn about the Hitachi Vantara'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 Data Scientist/Machine Learning Engineer interview at Hitachi Vantara, 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 Hitachi Vantara'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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