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ML Engineer / Data Scientist Job Opening In Cupertino California – Now Hiring Macpower Digital Assets Edge Private Limited


Job description

Job Overview:

  • Proven hands-on experience in Python programming, with expertise in popular AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, and LlamaIndex.


  • Strong background in building and implementing machine learning models.


  • Hands-on experience in developing AI/ML/GenAI solutions using AWS services such as SageMaker.


  • Experience with search algorithms, indexing techniques, summarization, and retrieval models for effective information retrieval tasks.


  • Practical experience with RAG (Retrieval-Augmented Generation) architecture and its applications in Natural Language Processing (NLP).


  • Good exposure to Agentic / Multi-agent frameworks.


  • End-to-end experience in developing machine learning and deep learning solutions, including predictive modeling, applied machine learning, and natural language processing.


  • Expertise in data engineering, including preprocessing and cleaning large datasets using Python, PySpark, and tools like Pandas and NumPy.

    Proficient in techniques such as data normalization, feature engineering, and synthetic data generation.


  • Solid understanding of cloud computing principles and experience in deploying, scaling, and monitoring AI/ML/GenAI solutions on platforms like AWS.


  • Proficient in deploying and monitoring ML solutions using AWS Lambda, API Gateway, and ECS, and tracking performance using CloudWatch.


  • Experience with Docker and containerization technologies.


  • Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, and to collaborate effectively with cross-functional teams.






Must-Have Qualifications:


  • A Master's degree in Computer Science or Engineering.


  • Minimum of 14 years of IT experience.


  • At least 7 years of experience as a Machine Learning Engineer or Data Scientist.


  • Hands-on experience using Python and APIs such as Flask, Django, or FastAPI.


  • Practical experience with tools such as LangChain, LlamaIndex, and Streamlit.


  • Experience working with semi-structured and unstructured data.


  • Must have implemented at least one use case using Large Language Models (LLMs).


  • Must have experience in prompt engineering and fine-tuning LLMs using techniques like LoRA or PEFT.


  • Must have implemented a use case using RAG architecture.


  • Experience with a Multi-agent framework is a strong plus.




Required Skill Profession

Other General


  • Job Details

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Unlock Your ML Engineer Potential: Insight & Career Growth Guide


Real-time ML Engineer 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 ML Engineer in Cupertino, California, United States, highlighting market share and opportunities for professionals in ML Engineer roles.

172348 Jobs in United States
172348
3919 Jobs in Cupertino, California
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Download Ml Engineer Jobs Trends in Cupertino, California and United States

Are You Looking for ML Engineer / Data Scientist 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 Macpower Digital Assets Edge Private Limited 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 United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Cupertino California. 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 ML Engineer / Data Scientist 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 ML Engineer / Data Scientist Job Success

Macpower Digital Assets Edge Private Limited interview tips for ML Engineer / Data Scientist

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Before the Interview:

Research: Learn about the Macpower Digital Assets Edge Private Limited'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.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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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.

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Final Thought:

To prepare for your ML Engineer / Data Scientist interview at Macpower Digital Assets Edge Private Limited, 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 Macpower Digital Assets Edge Private Limited's products or services and be prepared to discuss how you can contribute to their success.

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