415 Foundry jobs in India

Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
- Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models.
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
- Should have good understanding of DevOps
- Should have good understanding of LLM evaluation
- Should have deployed min of 2 models in production (MLOps)
- Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
- Unit testing of GenAI Solutions built and documentation of results.
- Collaborate with clients/Stakeholders from multiple Geographies.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
- Bachelor's/Master's Degree or equivalent.
- 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
- Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
- Experience delivering end-to-end GenAI based solutions.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
- Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
- Should have experience working on hybrid search and re-rankers
- Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
- Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
- Experience working on NLP, CV, Deep Learning Algorithms
- Should have working experience with Open-Source Models
- Experience on UI/UX will be added advantage.
#GenAINTT
___
RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
#GenAINTT

Senior Data Engineer / Data Scientist - Palantir Data Platform
#About the Role
As a Senior Data Engineer cum Data Scientist, you will be a key contributor to designing, developing, and operating advanced data architectures, pipelines, and analytics solutions within the Palantir ecosystem. You will leverage your deep expertise in Palantir Foundry and Gotham platforms, combined with strong AI capabilities, to solve complex data challenges and drive actionable insights for enterprise and government clients. You will play a leadership role in translating technical concepts into business outcomes, influencing data-driven decision-making, and enabling AI-powered initiatives.
# Key Responsibilities
+ Design, build, and maintain complex data pipelines and workflows using Palantir Foundry and Gotham platforms.
+ Develop and deploy data models, ontology objects, and analytic applications within Palantir to support enterprise-scale data transformation.
+ Collaborate cross-functionally with product teams, data scientists, engineers, and business stakeholders to understand needs, translate requirements, and deliver scalable data solutions.
+ Conduct data profiling, modeling, mapping, and integration across diverse large-scale data sources.
+ Architect and implement AI/ML models on Palantir AI platforms, ensuring seamless integration with existing data workflows.
+ Perform data analysis and visualization to support insights generation and strategic decisions.
+ Lead initiatives for pipeline stability, efficiency improvements, and automation with best engineering practices.
+ Provide thought leadership on Palantir platform capabilities and innovations in data science and AI.
+ Translate technical delivery into clear communication for non-technical stakeholders and leadership.
+ Mentor and guide junior data engineers and scientists on Palantir technology and data science best practices.
+ Ensure security, compliance, and governance standards are maintained in data handling and platform usage.
# Required Qualifications
+ Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or related quantitative field.
+ 5+ years of professional experience in data engineering and data science roles.
+ Extensive hands-on experience with Palantir Foundry and Gotham platforms, including pipeline development, data integration, and application building.
+ Strong knowledge of AI/ML platforms and experience creating and deploying machine learning models.
+ Proficiency in programming languages such as Python, SQL, and familiarity with data engineering tools and frameworks.
+ Experience with cloud platforms, distributed data processing, and big data technologies.
+ Strong analytical and problem-solving skills with a passion for innovation in AI and data workflows.
+ Excellent communication skills with experience presenting complex data insights to diverse audiences.
+ Experience working in government, defense, or enterprise consulting environments is a plus.
+ Ability to obtain and maintain required security clearances if applicable.
# Preferred Skills
+ Experience with Spark, Kubernetes, or container orchestration technologies.
+ Background in professional services or consulting delivering Palantir solutions.
+ Knowledge of security best practices related to sensitive and classified data.
+ Prior leadership experience in technical teams and mentoring roles.
+ Exposure to emerging AI trends and agentic AI applications.

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Palantir Foundry to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
- Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models.
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
- Should have good understanding of DevOps
- Should have good understanding of LLM evaluation
- Should have deployed min of 2 models in production (MLOps)
- Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
- Unit testing of GenAI Solutions built and documentation of results.
- Collaborate with clients/Stakeholders from multiple Geographies.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
- Bachelor's/Master's Degree or equivalent.
- 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
- Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
- Experience delivering end-to-end GenAI based solutions.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
- Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
- Should have experience working on hybrid search and re-rankers
- Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
- Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
- Experience working on NLP, CV, Deep Learning Algorithms
- Should have working experience with Open-Source Models
- Experience on UI/UX will be added advantage.
#GenAINTT
___
RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
#GenAINTT
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Palantir Foundry to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
- Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models.
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
- Should have good understanding of DevOps
- Should have good understanding of LLM evaluation
- Should have deployed min of 2 models in production (MLOps)
- Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
- Unit testing of GenAI Solutions built and documentation of results.
- Collaborate with clients/Stakeholders from multiple Geographies.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
- Bachelor's/Master's Degree or equivalent.
- 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
- Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
- Experience delivering end-to-end GenAI based solutions.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
- Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
- Should have experience working on hybrid search and re-rankers
- Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
- Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
- Experience working on NLP, CV, Deep Learning Algorithms
- Should have working experience with Open-Source Models
- Experience on UI/UX will be added advantage.
#GenAINTT
___
RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
#GenAINTT
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Palantir Foundry to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
- Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models.
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
- Should have good understanding of DevOps
- Should have good understanding of LLM evaluation
- Should have deployed min of 2 models in production (MLOps)
- Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
- Unit testing of GenAI Solutions built and documentation of results.
- Collaborate with clients/Stakeholders from multiple Geographies.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
- Bachelor's/Master's Degree or equivalent.
- 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
- Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
- Experience delivering end-to-end GenAI based solutions.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
- Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
- Should have experience working on hybrid search and re-rankers
- Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
- Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
- Experience working on NLP, CV, Deep Learning Algorithms
- Should have working experience with Open-Source Models
- Experience on UI/UX will be added advantage.
#GenAINTT
___
RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
#GenAINTT
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Palantir Foundry to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
- Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models.
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
- Should have good understanding of DevOps
- Should have good understanding of LLM evaluation
- Should have deployed min of 2 models in production (MLOps)
- Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
- Unit testing of GenAI Solutions built and documentation of results.
- Collaborate with clients/Stakeholders from multiple Geographies.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
- Bachelor's/Master's Degree or equivalent.
- 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
- Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
- Experience delivering end-to-end GenAI based solutions.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
- Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
- Should have experience working on hybrid search and re-rankers
- Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
- Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
- Experience working on NLP, CV, Deep Learning Algorithms
- Should have working experience with Open-Source Models
- Experience on UI/UX will be added advantage.
#GenAINTT
___
RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
#GenAINTT
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Palantir Foundry to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
- Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models.
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
- Should have good understanding of DevOps
- Should have good understanding of LLM evaluation
- Should have deployed min of 2 models in production (MLOps)
- Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
- Unit testing of GenAI Solutions built and documentation of results.
- Collaborate with clients/Stakeholders from multiple Geographies.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
- Bachelor's/Master's Degree or equivalent.
- 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
- Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
- Experience delivering end-to-end GenAI based solutions.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
- Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
- Should have experience working on hybrid search and re-rankers
- Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
- Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
- Experience working on NLP, CV, Deep Learning Algorithms
- Should have working experience with Open-Source Models
- Experience on UI/UX will be added advantage.
#GenAINTT
___
RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
#GenAINTT
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

Senior Data Engineer / Data Scientist - Palantir Data Platform
#About the Role
As a Senior Data Engineer cum Data Scientist, you will be a key contributor to designing, developing, and operating advanced data architectures, pipelines, and analytics solutions within the Palantir ecosystem. You will leverage your deep expertise in Palantir Foundry and Gotham platforms, combined with strong AI capabilities, to solve complex data challenges and drive actionable insights for enterprise and government clients. You will play a leadership role in translating technical concepts into business outcomes, influencing data-driven decision-making, and enabling AI-powered initiatives.
# Key Responsibilities
+ Design, build, and maintain complex data pipelines and workflows using Palantir Foundry and Gotham platforms.
+ Develop and deploy data models, ontology objects, and analytic applications within Palantir to support enterprise-scale data transformation.
+ Collaborate cross-functionally with product teams, data scientists, engineers, and business stakeholders to understand needs, translate requirements, and deliver scalable data solutions.
+ Conduct data profiling, modeling, mapping, and integration across diverse large-scale data sources.
+ Architect and implement AI/ML models on Palantir AI platforms, ensuring seamless integration with existing data workflows.
+ Perform data analysis and visualization to support insights generation and strategic decisions.
+ Lead initiatives for pipeline stability, efficiency improvements, and automation with best engineering practices.
+ Provide thought leadership on Palantir platform capabilities and innovations in data science and AI.
+ Translate technical delivery into clear communication for non-technical stakeholders and leadership.
+ Mentor and guide junior data engineers and scientists on Palantir technology and data science best practices.
+ Ensure security, compliance, and governance standards are maintained in data handling and platform usage.
# Required Qualifications
+ Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or related quantitative field.
+ 5+ years of professional experience in data engineering and data science roles.
+ Extensive hands-on experience with Palantir Foundry and Gotham platforms, including pipeline development, data integration, and application building.
+ Strong knowledge of AI/ML platforms and experience creating and deploying machine learning models.
+ Proficiency in programming languages such as Python, SQL, and familiarity with data engineering tools and frameworks.
+ Experience with cloud platforms, distributed data processing, and big data technologies.
+ Strong analytical and problem-solving skills with a passion for innovation in AI and data workflows.
+ Excellent communication skills with experience presenting complex data insights to diverse audiences.
+ Experience working in government, defense, or enterprise consulting environments is a plus.
+ Ability to obtain and maintain required security clearances if applicable.
# Preferred Skills
+ Experience with Spark, Kubernetes, or container orchestration technologies.
+ Background in professional services or consulting delivering Palantir solutions.
+ Knowledge of security best practices related to sensitive and classified data.
+ Prior leadership experience in technical teams and mentoring roles.
+ Exposure to emerging AI trends and agentic AI applications.
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RESUME SELECTION Guidelines:
- Delivered at least 2 GenAI/Agentic AI solutions for clients
- Extensive experience of minimum 5+ years on Python
- Delivered 3-5 successful client POCs/MVPs
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