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Specbee.com - Senior Machine Learning Engineer - NLP/LLM Job Opening In Bengaluru – Now Hiring Specbee


Job description

<p><p><b>About the job : </b>Senior Machine Learning Engineer</p><p><br/><b>About the Role : </b><br/><br/>We are looking for a Senior Machine Learning Engineer who can take complex machine learning models and make them work in real-world production environments.<br/><br/>This role is ideal for someone who not only has deep expertise in machine learning but also understands the challenges of deployment, scalability, and performance optimization across different platforms.<br/><br/>Beyond technical skills, we need someone who can lead a team of MLEs, design end-to-end ML solutions, and effectively communicate technical concepts to both engineers and business stakeholders.<br/><br/>If you enjoy solving hard problems, working with cutting-edge ML technologies, and taking ownership of projects from idea to deployment, this role is for you.<br/><br/><b>What Youll Be Doing : </b><br/><br/><b>Building and Deploying ML Models : </b></p><p><br/></p><p>- Design, build, optimize, deploy and monitor machine learning models for production use cases.<br/><br/>- Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.<br/><br/>- Work with data engineers to design data pipelines that feed into ML models.<br/><br/>- Optimize model performance, ensuring low latency and high accuracy.<br/><br/><b>Leading and Architecting ML Solutions : </b></p><p><br/></p><p>- Lead a team of ML Engineers, providing technical mentorship and guidance.<br/><br/>- Architect ML solutions that integrate seamlessly with business applications.<br/><br/>- Ensure models are explainable, auditable, and aligned with business goals.<br/><br/>- Drive best practices in MLOps, CI/CD, and model monitoring.<br/><br/><b>Collaborating and Communicating : </b></p><p><br/></p><p>- Work closely with business stakeholders to understand problem statements and define ML-driven solutions.</p><p><br/>- Collaborate with software engineers, data engineers, platform engineers and product managers to integrate ML models into production systems.<br/><br/>- Present technical concepts to non-technical stakeholders in an easy-to-understand manner.<br/><br/><b>What Were Looking For : </b><br/><br/><b>Machine Learning Expertise : </b></p><p><br/></p><p>- Deep understanding of supervised and unsupervised learning, deep learning, and NLP techniques, and large language models (LLMs).</p><p><br/>- Experience in training, fine-tuning, and deploying ML and LLM models at scale.<br/><br/>- Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn etc.<br/><br/><b>Production and Cloud Deployment : </b></p><p><br/></p><p>- Hands-on experience deploying models to AWS, GCP, or Azure.<br/><br/>- Understanding of MLOps, including CI/CD for ML models, model monitoring, and retraining pipelines.<br/><br/>- Experience working with Docker, Kubernetes, or serverless architectures is a plus.<br/><br/><b>Data Handling : </b></p><p><br/></p><p>- Strong programming skills in Python.<br/><br/>- Proficiency in SQL and working with large-scale datasets.<br/><br/>- Familiarity with distributed computing frameworks like Spark or Dask is a plus.<br/><br/><b>Leadership and Communication : </b></p><p><br/></p><p>- Ability to lead and mentor a team of ML Engineers and collaborate effectively across functions.<br/><br/>- Strong communication skills to explain technical concepts to business teams.<br/><br/>- Passion for staying updated with the latest advancements in ML and AI.<br/><br/><b>Experience Needed : </b><br/><br/>- 6+ years of experience in machine learning engineering or related roles.<br/><br/>- Experience in deploying and managing ML and LLM models in production.<br/><br/>- Proven track record of working in cross-functional teams and leading ML projects<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Specbee com Potential: Insight & Career Growth Guide


Real-time Specbee com 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 Specbee com in Bengaluru, India, highlighting market share and opportunities for professionals in Specbee com roles.

48 Jobs in India
48
2 Jobs in Bengaluru
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Are You Looking for Specbee.com Senior Machine Learning Engineer NLP/LLM 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 Specbee 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 Specbee.com Senior Machine Learning Engineer NLP/LLM Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Specbee.com Senior Machine Learning Engineer NLP/LLM 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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Specbee interview tips for Specbee.com   Senior Machine Learning Engineer   NLP/LLM

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Dress Professionally: Choose attire appropriate for the company culture.

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Final Thought:

To prepare for your Specbee.com Senior Machine Learning Engineer NLP/LLM interview at Specbee, research the company, understand the job requirements, and practice common interview questions.

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