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Machine Learning Engineer - LLM Models Job Opening In India, India – Now Hiring Emperen Technologies


Job description

<p><p><b>Job Title :</b> Machine Learning Engineer<br/><br/><b>Job Type :</b> Full-Time<br/><br/><b>Experience Level :</b> Mid to Senior [5+ Years]<br/><br/><b>Department :</b> Data Science / AI Engineering<br/><br/><b>Job Summary :</b><br/><br/>We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team.<br/><br/> The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and deploy machine learning models for real-world applications.<br/><br/>- Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems.<br/><br/>- Understand the mathematics behind machine learning algorithms to effectively implement and optimize them.<br/><br/>- Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability.<br/><br/>- Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements.<br/><br/>- Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects.<br/><br/><b>Required & Theoretical Foundations :</b><br/><br/>- Strong foundation in Linear Algebra (e.g., matrix operations, eigenvalues, SVD).<br/><br/>- Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions).<br/><br/>- Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization).<br/><br/>- Knowledge of Numerical Methods and Convex Optimization.<br/><br/>- Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus.<br/><br/><b>Programming & Software Skills :</b><br/><br/>- Proficient in Python (preferred), with experience in libraries such as : NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn<br/><br/>- Experience with deep learning frameworks : TensorFlow, PyTorch, Keras, or JAX<br/><br/>- Familiarity with ML Ops tools : MLflow, Kubeflow, Airflow, Docker, Kubernetes<br/><br/>- Experience with cloud platforms (AWS, GCP, Azure) for model deployment.<br/><br/><b>Machine Learning Expertise :</b><br/><br/>- Hands-on experience with supervised, unsupervised, and reinforcement learning.<br/><br/>- Understanding of model evaluation metrics and validation techniques.<br/><br/>- Experience with large-scale data processing (e.g., Spark, Dask) is a plus.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.<br/><br/>- Publications or contributions to open-source ML projects.<br/><br/>- Experience with LLMs, transformers, or generative models</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning 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 Machine Learning in India, India, highlighting market share and opportunities for professionals in Machine Learning roles.

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Are You Looking for Machine Learning Engineer LLM Models Job?

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The Work Culture

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5. Accountabipty

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 India. 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 Machine Learning Engineer LLM Models 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 Machine Learning Engineer LLM Models Job Success

Emperen Technologies interview tips for Machine Learning Engineer   LLM Models

Here are some tips to help you prepare for and ace your Machine Learning Engineer LLM Models job interview:

Before the Interview:

Research: Learn about the Emperen Technologies'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.

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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.

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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 Machine Learning Engineer LLM Models interview at Emperen Technologies, 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 Emperen Technologies'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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