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3 Machine Learning Algorithms Jobs

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Generative AI and Natural Language Processing

confidential

0.0 - 4.0 years

Bangalore

On-site

As a candidate with a strong passion for Generative AI and Natural Language Processing (NLP), you have the opportunity to join a team that is working on cutting-edge AI solutions using state-of-the-art technologies such as transformers, text generation, and sentiment analysis. Your role will involve building and fine-tuning Generative AI models, specifically focusing on NLP tasks. This is a fantastic opportunity for you to grow alongside a team of experts, tackle real-world challenges, and contribute to advancing the field of AI. Key Responsibilities: - Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER...

Posted 3 weeks ago

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AI/ML Expert

Ford Motor Company

5.0 - 9.0 years

Chennai, All india

On-site

Role Overview: You will combine expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. Your role will involve collaborating with cross-functional stakeholders and AI Engineers to build and deploy an enterprise-wide AI security framework. Key Responsibilities: - Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. - Evaluate and utilize established frameworks such as Google's Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework fo...

Posted 3 weeks ago

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Credit Scoring Model Developer

SkillLabs

3.0 - 7.0 years

Pune, All india

On-site

As a Credit Scoring Model Developer, you will play a crucial role in the team by developing and maintaining credit scoring models to assess the creditworthiness of loan applicants. Your responsibilities will include leveraging statistical techniques and machine learning algorithms to build accurate and robust models. Key Responsibilities: - Develop and maintain credit scoring models using statistical techniques and machine learning algorithms. - Perform data analysis and feature engineering to enhance model performance. - Validate and monitor the performance of credit scoring models. - Collaborate with other teams to integrate credit scoring models into loan origination systems. - Stay updat...

Posted 3 weeks ago

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Exploring Machine Learning Algorithms Jobs in India

India has seen a significant rise in demand for professionals skilled in machine learning algorithms in recent years. With the increasing adoption of artificial intelligence and data-driven decision-making processes, job opportunities in this field have been on the rise. If you are a job seeker looking to explore a career in machine learning algorithms in India, here is a comprehensive guide to help you navigate through the job market.

Top Hiring Locations in India

Bangalore
Mumbai
Delhi NCR
Hyderabad
Pune

Average Salary Range

The average salary range for machine learning algorithms professionals in India varies based on experience levels. Entry-level positions can expect to earn around INR 6-10 lakhs per annum, while experienced professionals can earn anywhere between INR 15-30 lakhs per annum.

Career Path

In the field of machine learning algorithms, a typical career path may include roles such as Junior Data Scientist, Data Scientist, Senior Data Scientist, and eventually progressing to roles like Machine Learning Engineer, Lead Data Scientist, and Chief Data Scientist.

Related Skills

Besides proficiency in machine learning algorithms, professionals in this field are often expected to have skills in programming languages like Python, R, and Java, as well as knowledge of statistical analysis, data visualization, and big data technologies.

Interview Questions

What is the difference between supervised and unsupervised learning? (basic)
Explain the bias-variance tradeoff. (medium)
What is regularization in machine learning and why is it important? (medium)
How do you handle missing data in a dataset? (basic)
What is the ROC curve and what does it represent? (medium)
Explain the concept of overfitting in machine learning. (basic)
What is the difference between classification and regression algorithms? (basic)
How do decision trees work in machine learning? (medium)
What is cross-validation and why is it important in machine learning? (medium)
Explain the working of support vector machines (SVM). (advanced)
What is the difference between bagging and boosting algorithms? (medium)
How do you evaluate the performance of a machine learning model? (basic)
Explain the K-means clustering algorithm. (medium)
What is the curse of dimensionality in machine learning? (medium)
How do you handle imbalanced datasets in machine learning? (medium)
Explain the working of neural networks in machine learning. (advanced)
What is the purpose of feature engineering in machine learning? (basic)
How does gradient descent algorithm work in machine learning? (medium)
What is the difference between L1 and L2 regularization? (medium)
Explain the working of random forests algorithm. (medium)
How do you select the right algorithm for a machine learning problem? (basic)
What is the difference between precision and recall in machine learning? (basic)
Explain the concept of ensemble learning. (medium)
How do you deal with multicollinearity in a dataset? (medium)
What are hyperparameters in machine learning models? (basic)

Closing Remark

As you prepare for job interviews in machine learning algorithms, remember to stay updated with the latest trends in the field and continuously refine your skills. With determination and perseverance, you can excel in this dynamic and rewarding career path in India. Good luck!

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