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Machine Learning Engineer Job Opening In Chennai – Now Hiring Kivi-Tronics Consulting


Job description

Job Description

Duties and Responsibilities include but are not limited to: 

  • Design and build ML pipelines for OCR extraction, document image processing, and text classification tasks.
  • Fine-tune or prompt large language models (LLMs) (e.g., Qwen, GPT, LLaMA, Mistral) for domain-specific use cases.
  • Develop systems to extract structured data from scanned or unstructured documents (PDFs, images, TIFs).
  • Integrate OCR engines (Tesseract, EasyOCR, AWS Textract, etc.) and improve their accuracy via pre-/post-processing.
  • Handle natural language processing (NLP) tasks such as named entity recognition (NER), summarization, classification, and semantic similarity.
  • Collaborate with product managers, data engineers, and backend teams to productionize ML models.
  • Evaluate models using metrics like precision, recall, F1-score, and confusion matrix, and improve model robustness and generalizability.
  • Maintain proper versioning, reproducibility, and monitoring of ML models in production.

The duties set forth above are essential job functions for the role.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.
 

 

Skills and Qualifications 

  • 4–5 years of experience in machine learning, NLP, or AI roles
  • Proficiency with Python and ML libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.
  • Experience with LLMs (open-source or proprietary), including fine-tuning or prompt engineering.
  • Solid experience in OCR tools (Tesseract, PaddleOCR, etc.) and document parsing.
  • Strong background in text classification, tokenization, and vectorization techniques (TF-IDF, embeddings, etc.).
  • Knowledge of handling unstructured data (text, scanned images, forms).
  • Familiarity with MLOps tools: MLflow, Docker, Git, and model serving frameworks.
  • Ability to write clean, modular, and production-ready code.
  • Experience working with medical, legal, or financial document processing.
  • Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) and semantic search.
  • Understanding of document layout analysis (e.g., LayoutLM, Donut, DocTR).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and deploying models at scale



Requirements
AI/ML Engineer,NLP,LLM,Python,MLOPs

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning 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 Machine Learning in Chennai, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19853 Jobs in India
19853
367 Jobs in Chennai
367
Download Machine Learning Jobs Trends in Chennai and India

Are You Looking for Machine Learning Engineer Job?

Great news! is currently hiring and seeking a 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 Kivi-Tronics Consulting 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

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The average salary range for a varies, but the pay scale is rated "Standard" in Chennai. 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 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 Machine Learning Engineer Job Success

Kivi-Tronics Consulting interview tips for Machine Learning Engineer

Here are some tips to help you prepare for and ace your Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Kivi-Tronics Consulting'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:

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.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Machine Learning Engineer interview at Kivi-Tronics Consulting, research the company, understand the job requirements, and practice common interview questions.

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