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Principal AI/ML Engineer Job Opening In Bengaluru – Now Hiring ScaleneWorks


Job description

This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification and data science, and has won awards and recognition for its work.

The team s future projects will be in diverse areas, such as regulatory, clinical, legal and HR.

Versatility is key, with an ability to quickly understand domain data and requirements and translate them into solutions.

You will interact with architects, software and data engineers, modelers, data scientists, other AI/ML engineers, product owners as well as other team members in Clinical Solutions and R&D.

You will actively participate in creating technical solutions, designs, implementations and participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.



A total of three Senior AI/ML Engineer positions are available, and we re looking for demonstrable expertise across a selection of the following key competencies: Generative AI, model building, training and evaluation, natural language processing, classification problems and software development.

You should also be versed in agile ways of working, source control and the Azure cloud.



Responsibilities

You ll have the opportunity to work on a mixture of the following:

Generative AI

Design and develop RAG based applications.



LLM fine-tuning, including preparation of training sets from internal data

Agent based applications

Evaluating use-case specific LLMs

AI/ML

NLP: Named Entity Recognition across a variety of unstructured data.



Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks.

Analysing trade-offs between these models and LLMs for NLP tasks.



Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG.



Document and text Classification

Data Science: Data clustering algorithms, feature engineering

Evaluate and integrate new technologies and models.



Cross-team collaboration, identifying innovations and architecting solutions.



Provide leadership and technical direction to various business units and partners

Minimum Qualifications and Experience

The post requires a healthy coverage of the following:

Bachelor s degree in computer science

5+ years of experience working in AI/ML

Generative AI: Demonstratable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling.

Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa.

Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen-vl, DocOwl etc.) for understanding complex documents and images.

Experience in training, evaluating and hosting open source LLMs would be a major benefit.



AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems.



Hands on experience with ML tools like TensorFlow, PyTorch etc.



Some experience with MLOps would be very beneficial.



Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc.



Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would come in handy but is not necessary.



Familiarity with Azure cloud (AKS, Azure AI, ADF, Document Intelligence etc.), though you ll work with experts to gain this skill as well.



Excellent problem-solving and programming skills in Python

Excellent communication skills

Required Skill Profession

Computer Occupations


  • Job Details

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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 ScaleneWorks 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 Principal AI/ML 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 Principal AI/ML Engineer?

Key qualifications for Principal AI/ML Engineer 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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To improve your chances of getting hired for Principal AI/ML Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Principal AI/ML Engineer Job Success

ScaleneWorks interview tips for Principal AI/ML Engineer

Here are some tips to help you prepare for and ace your Principal AI/ML Engineer job interview:

Before the Interview:

Research: Learn about the ScaleneWorks'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.

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

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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 Principal AI/ML Engineer interview at ScaleneWorks, 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 ScaleneWorks'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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