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Llm - Python For Machine Learning Job Opening In Delhi Division – Now Hiring Codefeast


Job description

Role Overview: We are seeking skilled and experienced ML Developers to join our innovative team.

The ideal candidate will have strong hands-on ML experience with the ability to understand complex data models and translate business requirements into efficient solutions that capture business context accurately.

Participation in machine learning competitions is a strong plus.

What does day-to-day look like: Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization.

Collaborate with business stakeholders to gather and clarify requirements Translate business requirements into ML code that accurately reflects business logic Write efficient, maintainable, and well-documented ML solutions Participate in code reviews and follow established development standards Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy Create and maintain technical documentation for developed solutions Support testing activities and resolve data-related issues Required Qualifications: Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.

3+ years of hands-on ML development experience Proficiency in at least some of the ML areas and frameworks, including: Supervised learning (classification, regression, ) Unsupervised learning (clustering, anomaly detection, ) Time-series analysis Natural Language Processing (NLP) Computer Vision (CV) Statistical modeling Ability to understand and apply different models to real-world use cases Hands-on experience with DS and ML solutions in production environments Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics Proficiency in Python and its common data science libraries (e.G., Pandas, NumPy, Scikit-learn) Preferred Qualifications: Proven expertise in Deep learning (e.G., convolutional neural networks, recurrent neural networks, transformers).

Experience with cloud data platforms (Databricks, AWS, etc.) Knowledge of MLOps principles and tools for model deployment and monitoring Hands-on experience with PySpark and Databricks Platform Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench Evaluation Process (approximately 75 mins) : Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)

Required Skill Profession

Computer Occupations


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Unlock Your Llm Python Potential: Insight & Career Growth Guide


Real-time Llm Python 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 Llm Python in Delhi Division, India, highlighting market share and opportunities for professionals in Llm Python roles.

63846 Jobs in India
63846
2033 Jobs in Delhi Division
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Download Llm Python Jobs Trends in Delhi Division and India

Are You Looking for Llm Python For Machine Learning 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 Codefeast 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 Llm Python For Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Delhi Division. 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 Llm Python For Machine Learning 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 Llm Python For Machine Learning Job Success

Codefeast interview tips for Llm   Python For Machine Learning

Here are some tips to help you prepare for and ace your Llm Python For Machine Learning job interview:

Before the Interview:

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

Other Openings

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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.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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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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Final Thought:

To prepare for your Llm Python For Machine Learning interview at Codefeast, research the company, understand the job requirements, and practice common interview questions.

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