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Artificial Intelligence/Machine Learning Engineer Job Opening In Noida – Now Hiring MNR Solutions


Job description

<p><p><b>Key Responsibilities :</b></p><p><br/>- Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection.<br/></p><p><br/></p><p>- Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries.<br/></p><p><br/></p><p>- Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction.<br/></p><p><br/></p><p>- Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring.<br/></p><p><br/></p><p>- Lead a team of engineers and data scientists in developing enterprise-level AI/ML solutions at a fast pace, ensuring that solutions align with both business and technical requirements.<br/></p><p><br/></p><p>- Collaborate with business stakeholders to understand the business processes, define AI-driven features, and ensure smooth integration of machine learning models into the existing technology stack.<br/></p><p><br/></p><p>- Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments.<br/></p><p><br/></p><p>- Guide the team in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and Skills :</b></p><p><b><br/></b></p><p>- 4+ years of experience in developing and deploying AI/ML solutions, with at least 2 years of experience in enterprise software development.<br/></p><p><br/></p><p>- Expertise in Deep Learning frameworks like TensorFlow, PyTorch, and Keras.<br/></p><p><br/></p><p>- Strong proficiency in Java, Python, and related programming languages.<br/></p><p><br/></p><p>- In-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT).<br/></p><p><br/></p><p>- Experience with vision-based algorithms and their application in real-world financial problems.<br/></p><p><br/></p><p>- Knowledge of business processes in the lending domain and transaction banking.<br/></p><p><br/></p><p>- Proven track record of building scalable and robust AI solutions in enterprise environments.<br/></p><p><br/></p><p>- Strong problem-solving skills, with the ability to adapt AI/ML approaches to rapidly evolving business Qualifications :</b></p><p><b><br/></b></p><p>- B.E/B.Tech from IIT<br/></p><p><br/></p><p>- Previous experience in the lending, transaction banking, or fintech industries.<br/></p><p><br/></p><p>- Familiarity with enterprise software architecture and integration patterns, especially in the context of financial services.<br/></p><p><br/></p><p>- Hands-on experience with MLOps practices and tools for deploying and maintaining machine learning models in production.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide


Real-time Artificial Intelligence 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 Artificial Intelligence in Noida, India, highlighting market share and opportunities for professionals in Artificial Intelligence roles.

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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 MNR Solutions adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

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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 Noida. 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 Artificial Intelligence/Machine Learning 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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Interview Tips for Artificial Intelligence/Machine Learning Engineer Job Success

MNR Solutions interview tips for Artificial Intelligence/Machine Learning Engineer

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

Before the Interview:

Research: Learn about the MNR Solutions'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.

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.

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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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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 Artificial Intelligence/Machine Learning Engineer interview at MNR Solutions, 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 MNR Solutions'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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