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Engineering Manager - Data Modeling Job Opening In Bengaluru – Now Hiring Pyxidia Techlab LLP


Job description

<p><p>We are now looking for highly experienced Senior Engineering Managers who can lead the platform scale and components, and make it the industry best in the relevant components.<br/><br/>Ideal candidates should have at least 5+ years of experience working with products that require heavy engineering and scaling requirements.<br/><br/>Preference is from a product background with strong discipline around the stack and PR quality.</p><p><br/></p><p>Job Description :</p><p><b><br/></b></p><p><b>-</b> 5+ years of experience in building and deploying enterprise-grade machine learning infra, SaaS software, data analytics solutions, or online platforms</p><p> <br/><b>-</b> 2+ years of experience in building LLM infra or high-volume AI inference components.<br/><br/><b>-</b> Academic degree in Computer Science, Engineering, or a related field<br/><br/><b>-</b> Strong background in Python programming, Distributed computing, Engineering, big data processing, and cloud computing (AWS, Azure, GCP, on-premises)<br/><br/><b>-</b> Experience in optimizing, scaling, and reliability of large-scale systems for various data modalities and AI models.<br/><br/><b>-</b> Strong fundamentals and discipline in CI/CD pipelines, containerization (Docker, Kubernetes), and multi-cloud environments.<br/><br/><b>-</b> Proven track record in product management in designing and delivering complex, high-performance solutions for large-scale enterprise customers without faults and the ability to auto-scale the systems through delivering the essential SLAs in production during inference<br/><br/><b>-</b> Programming skills : expert in Python and solid coding practices<br/><br/><b>-</b> Data Engineering : expert in MongoDB and strong fundamentals in data lakes, data storage, ETL pipelines, and building real-time data pipelines.<br/><br/><b>-</b> Strong material skills, excellent communication, collaboration, and leadership skills with the ability to lead teams, mentor juniors, and work with other teams.<br/><br/><b>-</b> Strong system architecture background that supports scaling in regulated industries.<br/><br/><b>-</b> Experience in scaling AI/ML production systems using classic ML models, LLMs, and Deep Learning models on traditional hardware and high-performance computing.</p><p><br/></p><p><b>Roles and responsibilities :</b><br/><br/>As Sr Engineering Manager, you'll be the main SPOC for all the engineering efforts behind the AryaXAI platform, serving customers in SaaS and on-premise modes and scaling multiple AI models in startups, SMEs, and highly regulated industries.</p><p><br/></p><p><b>-</b> You'll be responsible for designing, modifying, and scaling architecture, as well as designing and implementing scalable infrastructure for AI/ML solutions and data engineering.<br/><br/><b>-</b> You'll be the SPOC with the R&D team, collecting the productized components and adding and scaling these components on the platform.<br/><br/><b>-</b> Architect and scale AI inference platform and related components for all data modalities like Tabular, text, image, video, etc.<br/><br/><b>-</b> You'll be responsible for designing the AI Ops and AI Inferencing Ops model building, data preprocessing, model inferencing, explainability, monitoring, alignment, risk management components.<br/><br/><b>-</b> You'll work on running multiple optimizations on inference speed and latencies to serve multiple AI models - LLMs, DL models, classic ML models, etc.<br/><br/><b>-</b> You'll manage product development activities, including scrum reviews and productivity optimization across engineering, as well as collaborate with R&D/data science and front-end teams.<br/><br/><b>-</b> You'll mentor and guide juniors and middle managers.<br/><br/><b>-</b> You'll continuously improve the standards of the product, as well as the architecture, culture, and experience</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Engineering Manager Potential: Insight & Career Growth Guide


Real-time Engineering Manager Jobs Trends (Graphical Representation)

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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 Pyxidia Techlab LLP 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 Engineering Manager Data Modeling 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 Engineering Manager Data Modeling?

Key qualifications for Engineering Manager Data Modeling 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 Engineering Manager Data Modeling Job Success

Pyxidia Techlab LLP interview tips for Engineering Manager   Data Modeling

Here are some tips to help you prepare for and ace your Engineering Manager Data Modeling job interview:

Before the Interview:

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

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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.

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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.

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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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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Engineering Manager Data Modeling interview at Pyxidia Techlab LLP, 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 Pyxidia Techlab LLP'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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