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▷ [Only 24h Left] Machine Learning Engineer Job Opening In Chandigarh – Now Hiring Trantor


Job description

Job Responsibilities
- Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.

Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production.

Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving.

Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Mandatory Skills
- Strong proficiency in Python (FastAPI, Flask).

Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).

Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).

Experience with prompt engineering & evaluation techniques.

Knowledge of MLOps tools (MLflow),
- Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.

Familiarity with containerization and orchestration (Docker, Kubernetes).

Strong grasp of REST APIs, GraphQL, and microservices architecture.

Knowledge of model fine-tuning and performance optimization.
- Familiarity with containerization and orchestration (Docker, Kubernetes).

Strong grasp of REST APIs, GraphQL, and microservices architecture.

Knowledge of model fine-tuning and performance optimization.
Optional Skills
- Excellent leadership and mentoring abilities.

Strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.
- Experience with agentic AI or Model Context Protocol (MCP).
- Background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices.

Prior to work in scalable enterprise AI products.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Only 24h Potential: Insight & Career Growth Guide


Real-time Only 24h 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 Only 24h in Chandigarh, India, highlighting market share and opportunities for professionals in Only 24h roles.

17126 Jobs in India
17126
13 Jobs in Chandigarh
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Are You Looking for ▷ [Only 24h Left] Machine Learning Engineer Job?

Great news! is currently hiring and seeking a ▷ [Only 24h Left] Machine Learning Engineer to join their team. Feel free to download the job details.

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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 Trantor 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 ▷ [Only 24h Left] Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chandigarh. 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.

What Are the Key Qualifications for ▷ [Only 24h Left] Machine Learning Engineer?

Key qualifications for ▷ [Only 24h Left] Machine Learning Engineer 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 ▷ [Only 24h Left] Machine Learning Engineer Job Success

Trantor interview tips for ▷ [Only 24h Left] Machine Learning Engineer

Here are some tips to help you prepare for and ace your ▷ [Only 24h Left] Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Trantor'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.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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 ▷ [Only 24h Left] Machine Learning Engineer interview at Trantor, 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 Trantor'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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