1,678 Materials Engineering jobs in India

Position: NLP Research Engineer

Location: On-site, HSR Layout, Benagluru.

Type: Full Time

About the Role:

We are seeking a driven NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you’ll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.

What We Expect You to Bring:

1. Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI/ML, or a related field
2. 2–3 years of professional R&D experience in NLP or ML research roles
3. Strong Python skills and deep familiarity with PyTorch or TensorFlow
4. Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
5. Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks
6. Familiarity with building retrieval-augmented generation (RAG) pipelines.
7. Hands-on experience with LLM fine-tuning using LoRA and SFT methods
8. Solid understanding of experimental design, ablation studies, and statistical significance testing
9. Familiarity with clinical or biomedical NLP is a plus
10. If you have worked with Direct Preference Optimization (DPO), that’s a plus
11. Excellent communication skills for sharing insights in seminars, whitepapers, or publications

What You Will Be Doing:

1. Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
2. Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
3. Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
4. Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
5. Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.

Why Join?

1. We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
2. We have access to the best computing resources available, including the H100 and A100, among others.
3. We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
4. We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
5. You will get a chance to work with experts from multiple industries, the best in the industry compensation, and to continue building your own (and, of course, new) projects.

Key Responsibilities:

Model Development & Optimization

• Design and implement AI/ML models for online spectacles centration, fitting and online refraction.
• Develop models for online visual acuity assessment, screen-based testing, or optical prescription estimation.
• Develop models that replaces and enhances online measurement approaches through innovative data and AI-supported methods. With the midterm goal: Data replaces measurement.
• Implement and launch AI based solutions, fulfilling regulatory and legal requirements.

Data Handling & Preprocessing

• Work with multi-modal datasets
• Ensure that necessary data is gathered accurately and efficiently.
• Annotate, normalize, and augment vision-related data for robust model training.

Collaboration & Validation

• Collaborate with vision science experts, optometrists, and product teams to align on accuracy and reliability metrics.
• Validate AI models through lab or clinical studies when applicable.

Documentation & Compliance

• Ensure proper documentation of models, data practices, and support regulatory alignment (e.g., MDR, HIPAA, DPDPA, GDPR if applicable).

Minimum Qualification:

• Education: Master's (preferred) or Bachelor’s in Computer Science, AI, Biomedical Engineering, Applied Physics, or related fields.

• Experience: 2+ years of experience in AI/ML, with at least 1 year in or healthcare/vision-based applications.

Core Technical Skills (Must-Have):

• Programming- Python (must), OpenCV, NumPy, Pandas
• ML/DL Frameworks- TensorFlow, PyTorch, scikit-learn, Keras
• Mathematical Foundations- Linear algebra, optimization, statistical signal processing
• Data Handling- Image/video pipeline handling, image annotation tools, real-time stream processing
• Version Control- Git, Jupyter, API documentation best practices

Position: NLP Research Engineer

Location: On-site, HSR Layout, Benagluru.

Type: Full Time

About the Role:

We are seeking a driven NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you’ll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.

What We Expect You to Bring:

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI/ML, or a related field
• 2–3 years of professional R&D experience in NLP or ML research roles
• Strong Python skills and deep familiarity with PyTorch or TensorFlow
• Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
• Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks
• Familiarity with building retrieval-augmented generation (RAG) pipelines.
• Hands-on experience with LLM fine-tuning using LoRA and SFT methods
• Solid understanding of experimental design, ablation studies, and statistical significance testing
• Familiarity with clinical or biomedical NLP is a plus
• If you have worked with Direct Preference Optimization (DPO), that’s a plus
• Excellent communication skills for sharing insights in seminars, whitepapers, or publications

What You Will Be Doing:

• Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
• Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
• Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
• Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
• Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.

Why Join?

• We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
• We have access to the best computing resources available, including the H100 and A100, among others.
• We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
• We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
• You will get a chance to work with experts from multiple industries, the best in the industry compensation, and to continue building your own (and, of course, new) projects.

Position: NLP Research Engineer

Location: On-site, HSR Layout, Benagluru.

Type: Full Time

About the Role:

We are seeking a driven NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you’ll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.

What We Expect You to Bring:

1. Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI/ML, or a related field
2. 2–3 years of professional R&D experience in NLP or ML research roles
3. Strong Python skills and deep familiarity with PyTorch or TensorFlow
4. Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
5. Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks
6. Familiarity with building retrieval-augmented generation (RAG) pipelines.
7. Hands-on experience with LLM fine-tuning using LoRA and SFT methods
8. Solid understanding of experimental design, ablation studies, and statistical significance testing
9. Familiarity with clinical or biomedical NLP is a plus
10. If you have worked with Direct Preference Optimization (DPO), that’s a plus
11. Excellent communication skills for sharing insights in seminars, whitepapers, or publications

What You Will Be Doing:

1. Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
2. Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
3. Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
4. Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
5. Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.

Why Join?

1. We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
2. We have access to the best computing resources available, including the H100 and A100, among others.
3. We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
4. We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
5. You will get a chance to work with experts from multiple industries, the best in the industry compensation, and to continue building your own (and, of course, new) projects.

Key Responsibilities:

Model Development & Optimization

• Design and implement AI/ML models for online spectacles centration, fitting and online refraction.
• Develop models for online visual acuity assessment, screen-based testing, or optical prescription estimation.
• Develop models that replaces and enhances online measurement approaches through innovative data and AI-supported methods. With the midterm goal: Data replaces measurement.
• Implement and launch AI based solutions, fulfilling regulatory and legal requirements.

Data Handling & Preprocessing

• Work with multi-modal datasets
• Ensure that necessary data is gathered accurately and efficiently.
• Annotate, normalize, and augment vision-related data for robust model training.

Collaboration & Validation

• Collaborate with vision science experts, optometrists, and product teams to align on accuracy and reliability metrics.
• Validate AI models through lab or clinical studies when applicable.

Documentation & Compliance

• Ensure proper documentation of models, data practices, and support regulatory alignment (e.g., MDR, HIPAA, DPDPA, GDPR if applicable).

Minimum Qualification:

• Education : Master's (preferred) or Bachelor’s in Computer Science, AI, Biomedical Engineering, Applied Physics, or related fields.

• Experience : 2+ years of experience in AI/ML, with at least 1 year in or healthcare/vision-based applications .

Core Technical Skills (Must-Have):

• Programming- Python (must), OpenCV, NumPy, Pandas
• ML/DL Frameworks- TensorFlow, PyTorch, scikit-learn, Keras
• Mathematical Foundations- Linear algebra, optimization, statistical signal processing
• Data Handling- Image/video pipeline handling, image annotation tools, real-time stream processing
• Version Control- Git, Jupyter, API documentation best practices

Position: NLP Research Engineer

Location: On-site, HSR Layout, Benagluru.

Type: Full Time

About the Role:

We are seeking a driven NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you’ll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.

What We Expect You to Bring:

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI/ML, or a related field
• 2–3 years of professional R&D experience in NLP or ML research roles
• Strong Python skills and deep familiarity with PyTorch or TensorFlow
• Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
• Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks
• Familiarity with building retrieval-augmented generation (RAG) pipelines.
• Hands-on experience with LLM fine-tuning using LoRA and SFT methods
• Solid understanding of experimental design, ablation studies, and statistical significance testing
• Familiarity with clinical or biomedical NLP is a plus
• If you have worked with Direct Preference Optimization (DPO), that’s a plus
• Excellent communication skills for sharing insights in seminars, whitepapers, or publications

What You Will Be Doing:

• Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
• Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
• Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
• Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
• Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.

Why Join?

• We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
• We have access to the best computing resources available, including the H100 and A100, among others.
• We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
• We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
• You will get a chance to work with experts from multiple industries, the best in the industry compensation, and to continue building your own (and, of course, new) projects.