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Simpliigence - Data Scientist - Machine Learning/Artificial Intelligence Job Opening In Bengaluru – Now Hiring Simpliigence


Job description

<p><p><b>Description :</b></p><p><br/>We are hiring for a Data Scientist with,<br/><br/></p><p>- 7+ years of experience in data science, machine learning, or AI-related roles.<br/><br/></p><p>- Expert in Python, including libraries like scikit-learn, pandas, NumPy, and PyTorch or TensorFlow.<br/><br/></p><p>- Strong understanding of core ML algorithms : supervised, unsupervised, and deep learning techniques.<br/><br/></p><p>- Experience with LLMs and building GenAI applications using frameworks like LangChain, LlamaIndex, or similar.<br/><br/></p><p>- Deep knowledge of RAG (Retrieval-Augmented Generation) and integrating knowledge bases with LLMs.<br/><br/></p><p>- Understanding of agentic AI principles and ability to design autonomous AI workflows.<br/><br/></p><p>- Proficient in Prompt Engineering : crafting, testing, and refining prompts for accuracy, reliability, and depth.<br/><br/></p><p>- Problem-solving mindset with a strong ability to think smart and solution creatively under constraints.<br/><br/></p><p>- Familiar with cloud platforms (AWS, GCP, Azure) and version control (Git).<br/><br/></p><p>- Excellent communication and collaboration skills.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.<br/><br/></p><p>- Design, develop, and deploy robust machine learning models and AI-driven solutions.<br/><br/></p><p>- Work with LLMs (Large Language Models) and implement RAG-based architectures to enhance generative capabilities using external knowledge sources.<br/><br/></p><p>- Explore and apply principles of agentic AI to build autonomous agents capable of reasoning and task execution.<br/><br/></p><p>- Leverage Prompt Engineering techniques to optimize interactions with LLMs for specific use cases.<br/><br/></p><p>- Write clean, efficient, and production-ready Python code, integrating with APIs, data sources, and front-end systems as needed.<br/><br/></p><p>- Conduct model evaluation, A/B testing, and performance tuning.<br/><br/></p><p>- Mentor junior data scientists and contribute to the development of best practices and reusable components.<br/><br/></p><p>- Stay updated on the latest trends in ML, AI, and GenAI ecosystems.<br/><br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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Unlock Your Simpliigence Data Potential: Insight & Career Growth Guide


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

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10423 Jobs in Bengaluru
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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 Simpliigence Data Scientist Machine Learning/Artificial Intelligence typically include Mathematical Science 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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Simpliigence interview tips for Simpliigence   Data Scientist   Machine Learning/Artificial Intelligence

Here are some tips to help you prepare for and ace your Simpliigence Data Scientist Machine Learning/Artificial Intelligence job interview:

Before the Interview:

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

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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:

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.

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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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 Simpliigence Data Scientist Machine Learning/Artificial Intelligence interview at Simpliigence, 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 Simpliigence's products or services and be prepared to discuss how you can contribute to their success.

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