14,953 Frameworks jobs in India

Job Description

Qualifications

Inside this Business Group

Posting Statement

Benefits

Working Model

Job Description

We are looking for dynamic and passionate engineers whose day-to-day work involves working on ML Frameworks such as PyTorch, Tensorflow, Jax etc.

The job role involves design and developing features in AI frameworks software stack.
You will be participated in enabling and optimizing state of the art deep learning models with a specific focus on the PyTorch framework.
In this role, you will work with a cross-geo team for delivering optimized software stack for Intel Gaudi Deep Learning accelerators.

The roles and responsibilities that you would need to performance may include the following:
� Design and develop SW techniques for AI frameworks - both HW-agnostic and HW-aware.
� Contribute to enhancing and extending the Training and Inference capabilities in the Software stack.
� Profile deep learning inference and training workloads and identify optimization opportunities in the software stack.

Qualifications

� BTech, MS or PhD in CS or related fields with an overall experience of 5 to 12 years.
� Must have: Proficient in Advanced C++ (C++ 14/17) and Intermediate skills of Python and parallel programming.
� Exposure to Machine Learning (ML) frameworks such as PyTorch and Tensorflow.
� Working knowledge of operators in Pytorch or Tensorflow and Understanding of low-level math kernels.
� Ability to debug complex issues in multi layered SW systems. Understanding of SW integration in large open-source framework and internal bridge layers.

� Understanding of computer architecture and HW-SW optimization techniques
� Practical knowledge of DL topologies for Vision / NLP / LLM will be a plus
� Experience working on frameworks/platforms that have gone to production.
� Knowledge of compiler algorithms for heterogeneous systems
� Effective communication skills and experience with working in a cross-geo setup.

Inside this Business Group

Posting Statement

Benefits

Working Model

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.Visit us at Please follow us on and Twitter.

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

As a Staff / Sr.Staff Engineer on the Data Engineering Team you’ll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope’s future. You will leverage open source Technologies around OLAP, OLTP, Streaming, Big Data and ML models. You will help design, and build an end-to-end system to manage the data and infrastructure used to improve security insights for our global customer base.

What's in it for you

What you will be doing

Required skills and experience

Education

#LI-SK3

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to for more details.

About the Role

As the Advisor - FCC Policies & Frameworks and Risk Assessments, you will play a crucial role in supporting the Financial Crime Compliance department by assisting in the development, implementation, and maintenance of policies and procedures aimed at mitigating financial crime risks.

Your responsibilities will include conducting risk assessments, drafting policy documents, and ensuring compliance with relevant regulations and standards. You will work closely with the Senior Partner, the wider FCC and Policy Teams, and other stakeholders to ensure the organisation's financial crime compliance framework is robust and effective. Additionally, you will be involved in compliance monitoring, reporting, and supporting the development and delivery of training programs on financial crime compliance policies and procedures.

About you

You are a detail-oriented professional with a strong understanding of financial crime compliance obligations, including the AML/CTF Act and AUSTRAC guidance. You have experience working in and supporting financial services and banking businesses, with a particular focus on financial crime compliance.

Your background includes conducting AML/CTF risk assessments and managing regulatory changes in the Financial Crime risk class. You excel in building and managing relationships with a wide range of stakeholders, including senior business stakeholders and regulators. Your strong analytical skills enable you to proactively identify issues and provide business-oriented solutions. You are adaptable, collaborative, and committed to raising awareness of financial crime risks and compliance requirements across the organisation.

If this sounds like you, then we look forward to receiving your application! 

About Us

BOQ Group is a truly unique group of challenger brands with a purpose – to provide a genuine alternative to Australian financial services for customers and employees.

Our family of brands (Bank of Queensland (BOQ), ME Bank, Virgin Money Australia, BOQ Specialist), each come with their own defined customer audience and brand personality, but share one goal – to build social capital through banking. That’s creating trust with customers, exploring staff potential and believing that tiny gestures and big ideas can change the world for communities.

BOQ Group’s inclusive vision is to foster a workspace that values and leverages difference and creates new possibilities, a place where our people feel confident to bring their best selves to work every day. We embrace difference and believe that our workforce should reflect the customers and communities that we serve.

Since , BOQ Group is recognised as an Employer of Choice for Gender Equality by the Workplace Gender Equality Agency (WGEA).

In , we successfully implemented an innovative Reconciliation Plan, driving positive change and promoting inclusivity across BOQ Group.

Our Benefits

At BOQ Group, we are passionate about creating an exceptional work environment that nurtures both your professional and personal growth. Our comprehensive benefits package is designed to enhance your well-being, provide financial security, and foster a sense of community and inclusion. Here are just some of the fantastic perks you can enjoy as part of our team:

We are committed to creating a workplace where everyone feels valued and supported. Join us and be part of a company that truly cares about its people and community!

Job Summary

Synechron is seeking an experienced Senior Angular Developer to lead the development of scalable, complex front-end applications. The ideal candidate will possess in-depth expertise in Angular (version 2+), JavaScript, TypeScript, and modern UI technologies. As a senior technical leader within the team, you will drive the architecture, design, and implementation of user interfaces, ensuring high standards of performance, usability, and maintainability. Your leadership will enable the delivery of innovative front-end solutions aligned with our digital transformation goals and business objectives.

Software Requirements

Required:

Preferred:

Overall Responsibilities

Technical Skills (By Category)

Programming Languages:

Frameworks and Libraries:

Design & Styling:

APIs and Data Management:

Development Tools & Methodologies:

Testing & Code Quality:

Security & Performance:

Experience Requirements

Day-to-Day Activities

Qualifications

Professional Competencies

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Summary

Synechron is seeking an experienced Senior Angular Developer to lead the development of scalable, complex front-end applications. The ideal candidate will possess in-depth expertise in Angular (version 2+), JavaScript, TypeScript, and modern UI technologies. As a senior technical leader within the team, you will drive the architecture, design, and implementation of user interfaces, ensuring high standards of performance, usability, and maintainability. Your leadership will enable the delivery of innovative front-end solutions aligned with our digital transformation goals and business objectives.

Software Requirements

Required:

Preferred:

Overall Responsibilities

Technical Skills (By Category)

Programming Languages:

Frameworks and Libraries:

Design & Styling:

APIs and Data Management:

Development Tools & Methodologies:

Testing & Code Quality:

Security & Performance:

Experience Requirements

Day-to-Day Activities

Qualifications

Professional Competencies

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

We are seeking a talented software engineer to join our dynamic team and contribute to developing scalable, dynamic web applications.

The ideal candidate will have a strong foundation in PHP development and proficiency with frameworks like Laravel or Symfony.

You will work closely with our backend and frontend teams to integrate APIs and services, write clean, scalable, and efficient code, troubleshoot, test, and maintain software to ensure strong optimization and functionality.

Hyderabad

Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore

Machine Learning Engineer – Medical AI Agents (RAG, SAG, Generative & Agentic Frameworks)

Location:

Hyderabad, India (Hybrid/Remote options available)

About the Role

We are building next-generation AI Agents for Clinical Decision Support—systems that combine the power of LLMs, RAG/SAG architectures, and agentic reasoning to assist doctors, reduce burnout, and extend quality care to millions. As a Machine Learning Engineer, you will work at the frontier of retrieval-augmented, structured-augmented, and agentic AI systems, designing medical copilots that can converse, reason, and act safely in real-world healthcare settings.

You’ll collaborate with clinicians, public health bodies, and AI researchers to bring these agents from lab to hospital floor, tailored for multilingual, culturally diverse, and resource-constrained environments.

Key Responsibilities

• Develop and deploy intelligent Medical AI Agents using RAG (Retrieval-Augmented Generation) and SAG (Structured-Augmented Generation) to assist in diagnostics, triage, therapy planning, and patient communication
• Architect multi-agent LLM workflows that reflect real clinical roles (e.g., GP, nurse, pharmacist), with memory, task decomposition, and role-specific context
• Fine-tune and align LLMs with clinical reasoning datasets using SFT, RLHF, and preference modeling to ensure high factuality and low hallucination rates
• Design multimodal integration pipelines that ingest EHRs, lab reports, imaging summaries, and patient-reported data for robust contextual reasoning
• Collaborate directly with doctors, nurses, and medical administrators to validate agent outputs and refine interaction models
• Participate in user studies, clinical pilots, and co-design workshops to ensure usability and trustworthiness of deployed agents
• Engage with public and private healthcare partners across India, Southeast Asia, and multilingual regions to customize deployment and localization
• Build frameworks for auditability, explainability, and fallback behavior in line with SaMD (Software as a Medical Device) and CDSCO/FDA guidance
• Incorporate empathic communication techniques, including tone modulation, uncertainty handling, and culturally sensitive phrasing, into agent behavior
• Benchmark systems on MedQA, PubMedQA, MedMCQA, and internal evaluations to continuously improve real-world performance

Key Qualifications

Educational Background:

• Master’s or higher in Computer Science, AI/ML, Biomedical Informatics, or related field from a premier institution (e.g., IISc, IITs, IIIT-H, BITS Pilani, or top global universities)
• Outstanding Bachelor’s candidates considered with strong track record in LLM research, clinical AI projects, or medical NLP deployment
• Bonus: Coursework or thesis in Human-Centered AI, Medical Ethics, Cognitive Science, or Clinical Informatics

Technical Expertise:

• Strong command of transformer models, RAG/SAG architectures, contextual embeddings, and retrieval orchestration tools (e.g., LangChain, LlamaIndex)
• Proficiency in Python, PyTorch, HuggingFace, vector DBs (FAISS, Qdrant), and EHR integration frameworks (FHIR, HL7)
• Experience designing agentic LLM frameworks with memory persistence, intent handling, and inter-agent communication
• Exposure to multimodal reasoning, including structured medical data (labs, symptoms) and unstructured text (progress notes, prescriptions)
• Familiarity with medical ontologies (SNOMED CT, UMLS, ICD-10) and working with large-scale clinical text corpora
• Understanding of clinical safety, bias risks, and hallucination controls for generative systems
• Experience with RLHF, zero/few-shot prompt tuning, and retrieval grounding in high-stakes settings

Collaboration & Stakeholder Engagement

• Proven ability to collaborate with healthcare professionals, understand their mental models, and iteratively translate them into agent logic
• Participated in field testing, simulation environments, or real-world deployments in clinical, telemedicine, or public health settings
• Strong communication skills to present and defend model behavior to both technical and non-technical stakeholders
• Willingness to engage in design sprints, qualitative research, and in-clinic observations
• Empathy for users under pressure—your systems will support people making life-saving decisions

Preferred Attributes

• Experience building for multilingual contexts or deploying in LMIC (Low- and Middle-Income Country) healthcare systems
• Strong understanding of AI safety, uncertainty quantification, and fallback design
• Familiarity with regulatory compliance in medical AI (e.g., SaMD, CDSCO, HIPAA, GDPR)
• Published research or open-source contributions in medical NLP, generative agents, or multi-agent LLM frameworks

Experience

• Up to 15 years
• 6–8 years of experience in AI/ML (with a strong focus on NLP/LLMs/RAG frameworks), including:
• At least 2–3 years in independently delivering production-grade AI systems
• At least 1–2 years in a tech-lead or mentoring capacity, ideally in a startup, research lab, or interdisciplinary team
• Hands-on experience with RAG/SAG pipelines, LLM fine-tuning, and agent orchestration, not just model usage

Contact:

Uday

Mulya Technologies

"Mining The Knowledge Community"

Hyderabad

Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore

Machine Learning Engineer – Medical AI Agents (RAG, SAG, Generative & Agentic Frameworks)

Location:

Hyderabad, India (Hybrid/Remote options available)

About the Role

We are building next-generation AI Agents for Clinical Decision Support—systems that combine the power of LLMs, RAG/SAG architectures, and agentic reasoning to assist doctors, reduce burnout, and extend quality care to millions. As a Machine Learning Engineer, you will work at the frontier of retrieval-augmented, structured-augmented, and agentic AI systems, designing medical copilots that can converse, reason, and act safely in real-world healthcare settings.

You’ll collaborate with clinicians, public health bodies, and AI researchers to bring these agents from lab to hospital floor, tailored for multilingual, culturally diverse, and resource-constrained environments.

Key Responsibilities

• Develop and deploy intelligent Medical AI Agents using RAG (Retrieval-Augmented Generation) and SAG (Structured-Augmented Generation) to assist in diagnostics, triage, therapy planning, and patient communication
• Architect multi-agent LLM workflows that reflect real clinical roles (e.g., GP, nurse, pharmacist), with memory, task decomposition, and role-specific context
• Fine-tune and align LLMs with clinical reasoning datasets using SFT, RLHF, and preference modeling to ensure high factuality and low hallucination rates
• Design multimodal integration pipelines that ingest EHRs, lab reports, imaging summaries, and patient-reported data for robust contextual reasoning
• Collaborate directly with doctors, nurses, and medical administrators to validate agent outputs and refine interaction models
• Participate in user studies, clinical pilots, and co-design workshops to ensure usability and trustworthiness of deployed agents
• Engage with public and private healthcare partners across India, Southeast Asia, and multilingual regions to customize deployment and localization
• Build frameworks for auditability, explainability, and fallback behavior in line with SaMD (Software as a Medical Device) and CDSCO/FDA guidance
• Incorporate empathic communication techniques, including tone modulation, uncertainty handling, and culturally sensitive phrasing, into agent behavior
• Benchmark systems on MedQA, PubMedQA, MedMCQA, and internal evaluations to continuously improve real-world performance

Key Qualifications

Educational Background:

• Master’s or higher in Computer Science, AI/ML, Biomedical Informatics, or related field from a premier institution (e.g., IISc, IITs, IIIT-H, BITS Pilani, or top global universities)
• Outstanding Bachelor’s candidates considered with strong track record in LLM research, clinical AI projects, or medical NLP deployment
• Bonus: Coursework or thesis in Human-Centered AI, Medical Ethics, Cognitive Science, or Clinical Informatics

Technical Expertise:

• Strong command of transformer models, RAG/SAG architectures, contextual embeddings, and retrieval orchestration tools (e.g., LangChain, LlamaIndex)
• Proficiency in Python, PyTorch, HuggingFace, vector DBs (FAISS, Qdrant), and EHR integration frameworks (FHIR, HL7)
• Experience designing agentic LLM frameworks with memory persistence, intent handling, and inter-agent communication
• Exposure to multimodal reasoning, including structured medical data (labs, symptoms) and unstructured text (progress notes, prescriptions)
• Familiarity with medical ontologies (SNOMED CT, UMLS, ICD-10) and working with large-scale clinical text corpora
• Understanding of clinical safety, bias risks, and hallucination controls for generative systems
• Experience with RLHF, zero/few-shot prompt tuning, and retrieval grounding in high-stakes settings

Collaboration & Stakeholder Engagement

• Proven ability to collaborate with healthcare professionals, understand their mental models, and iteratively translate them into agent logic
• Participated in field testing, simulation environments, or real-world deployments in clinical, telemedicine, or public health settings
• Strong communication skills to present and defend model behavior to both technical and non-technical stakeholders
• Willingness to engage in design sprints, qualitative research, and in-clinic observations
• Empathy for users under pressure—your systems will support people making life-saving decisions

Preferred Attributes

• Experience building for multilingual contexts or deploying in LMIC (Low- and Middle-Income Country) healthcare systems
• Strong understanding of AI safety, uncertainty quantification, and fallback design
• Familiarity with regulatory compliance in medical AI (e.g., SaMD, CDSCO, HIPAA, GDPR)
• Published research or open-source contributions in medical NLP, generative agents, or multi-agent LLM frameworks

Experience

• Up to 15 years
• 6–8 years of experience in AI/ML (with a strong focus on NLP/LLMs/RAG frameworks), including:
• At least 2–3 years in independently delivering production-grade AI systems
• At least 1–2 years in a tech-lead or mentoring capacity, ideally in a startup, research lab, or interdisciplinary team
• Hands-on experience with RAG/SAG pipelines, LLM fine-tuning, and agent orchestration, not just model usage

Contact:

Uday

Mulya Technologies

"Mining The Knowledge Community"