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MLOps Data Architect Job Opening In Bangalore – Now Hiring ICF

MLOps Data Architect

    India Jobs Expertini Expertini › India › Jobs › Bangalore › Other General › Mlops Data Architect

Job description

Description

**We are seeking a highly skilled and motivated MLOps Data Architect with expertise in small language models, Azure Fabric, Data Governance, AI Model Evaluation, and Building AI Agents.

The ideal candidate will have a strong background in computer science, software development, and cloud infrastructure.

This role involves designing, implementing, and maintaining scalable and secure cloud infrastructure, as well as collaborating with cross-functional teams to drive innovation in AI and machine learning.**

**Key Responsibilities:**

+ Develop and optimize data pipelines for small language models and AI agents.
+ Ensure data governance and compliance with industry standards.
+ Evaluate AI models and implement best practices for model monitoring and maintenance.
+ Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
+ Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.
+ Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
+ Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
+ Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
+ Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.
+ Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
+ Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.
+ Stay updated with the latest advancements in AI/ML and apply them to real-world challenges.
+ Participate in special projects and additional duties as assigned.

**Qualifications:**

+ Undergraduate degree or equivalent experience; a graduate degree is preferred.
+ Minimum of 5 years of relevant work experience.
+ At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
+ Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
+ Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
+ Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
+ Experience with API design and development is a plus.
+ Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
+ Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.
+ Understanding of solution architecture for building end-to-end machine learning data pipelines.

**Working at ICF**

ICF is a global advisory and technology services provider, but we’re not your typical consultants.

We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

**Candidate AI Usage Policy**

At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge.

As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted.

This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodations that involve the use of AI.

If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com .

We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Bangalore, India (II78)

Required Skill Profession

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Unlock Your MLOps Data Potential: Insight & Career Growth Guide


Real-time MLOps Data 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 MLOps Data in Bangalore, India, highlighting market share and opportunities for professionals in MLOps Data roles.

142130 Jobs in India
142130
1641 Jobs in Bangalore
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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 ICF 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 MLOps Data Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bangalore. 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 MLOps Data Architect typically include Other General 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 MLOps Data Architect Job Success

ICF interview tips for MLOps Data Architect

Here are some tips to help you prepare for and ace your MLOps Data Architect job interview:

Before the Interview:

Research: Learn about the ICF'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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your MLOps Data Architect interview at ICF, 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 ICF'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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