Data & Ai Developer Job at NTT DATA (Bangalore)

Data & AI Developer

We are looking for a skilled Data & AI/Full Stack Developer with 4–8 years of in...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4–8 years of experience in software development & data workflow development
Strong programming skills in Python and/or Java and SQL
Hands-on experience with React.js for front-end development
Good understanding of Data Lake, Data Pipeline, ETL/ELT
Experience with Generative AI / LLM technologies (Vertex AI, Gemini, OpenAI, or similar)
Good understanding of RAG frameworks, embeddings, vector databases, and prompt engineering
Experience working with public cloud platforms (GCP preferred, AWS/Azure acceptable)
Knowledge of API development and microservices architecture

Job Responsibility

Design, develop, and deploy scalable applications using Python or Java
Build responsive and modern user interfaces using React.js
Develop data pipelines using modern toolsets on public cloud platform
Develop AI-powered solutions using LLM technologies such as Vertex AI, Gemini, or similar platforms
Implement Retrieval-Augmented Generation (RAG) architectures and work with vector databases, embeddings, and semantic search
Integrate AI capabilities into enterprise applications and APIs
Work with cloud platforms (GCP preferred) for deployment, scaling, and monitoring applications
Collaborate with cross-functional teams including data engineers, architects, and product teams
Ensure best practices for code quality, security, and performance optimization

Fulltime

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Product Manager, AI & Developer Productivity Data Strategy

As a Senior Manager of Product Management for Inner Loop, you will own the measu...

Location

United States , McLean; Richmond; New York; Plano; Chicago

Salary:

182500.00 - 249900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 5 years of experience working in Product Management
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Own the measurement and acceleration of how 14K+ developers write, test, and ship code at Capital One
Define the metrics that engineering leaders use to invest, build data products that quantify developer productivity
Shape how the enterprise measures the impact of AI coding tools on the software development lifecycle
Turn developer experience data into actionable insights
Directly influence how Capital One builds software faster, with higher quality, and less friction

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Principal, Developer Relations, AI Developer Ecosystem

We are seeking a Principal, Developer Relations leader to shape and grow Arm’s A...

Location

China , Shanghai

Salary:

Not provided

ARM

Expiration Date

Until further notice

Requirements

Proven experience in Developer Relations, technical alliances, or partner management within the AI, software, or semiconductor industry in China, ideally including engineering team leadership
Strong understanding of AI frameworks, model optimization, and hardware–software interactions, with specific knowledge of the China AI ecosystem
Familiarity with Arm architectures and their advantages for AI performance and efficiency in cloud, edge, or mobile scenarios
Demonstrated experience leading and managing DevRel engineers or developer advocates (or similar technical advocacy roles), including setting goals, coaching, and hiring
Excellent communication and relationship management skills, able to engage technical and non-technical stakeholders, from developer communities to senior executives
Ability to analyze market and developer trends and influence strategic decisions based on AI software readiness and developer needs unique to China
Experience working with AI ISVs, open-source communities, or AI software ecosystem enablement initiatives in China
Fluency in Mandarin and English, with strong cross-cultural communication skills
Self-motivated, comfortable operating at a principal level, and able to manage multiple strategic initiatives in a fast-paced, matrixed environment

Job Responsibility

Lead, mentor, and grow a team of Developer Relations engineers/advocates, providing clear goals, coaching, and performance feedback
Define the operating model, priorities, and success metrics for the DevRel team in China, aligning with global Arm strategy and regional business goals
Recruit, onboard, and develop DevRel talent, building a high-performing team with complementary strengths in advocacy, content, and ecosystem enablement
Foster a culture of collaboration, data-driven decision-making, and “learn in public” within the DevRel team
Define and lead the Developer Relations strategy for AI in China, ensuring key AI frameworks, models, and applications are optimized for Arm platforms across cloud, edge, and device
Identify gaps and opportunities in the China AI ecosystem and translate them into clear DevRel initiatives, programs, and technical investments
Influence internal product and engineering roadmaps with developer and partner feedback, market signals, and AI software readiness needs specific to China
Act as a principal-level technical advocate for AI on Arm in China, representing Arm at conferences, meetups, webinars, and online communities
Guide your team to create high-impact technical content—sample code, reference implementations, tutorials, blog posts, and talks—that demonstrates best practices for AI workloads on Arm
Work with engineering and documentation teams to improve SDKs, tools, and documentation, drive benchmarks and competitive analysis, making it easy for Chinese developers to evaluate, adopt, and optimize AI on Arm

What we offer

Health and Wellness
Work and Life Success
Financial Rewards
Development and Support

Manager, Data Science - AI for Data

Manager, Data Science - AI for Data. Data is at the center of everything we do. ...

Location

United States , San Jose, California; McLean, Virginia; New York, New York

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

Data Scientist – AI, LLMs & Data Pipelines

This role is for our US-based Media Analytics client account, a distributed SaaS...

Location

India , Pune

Salary:

Not provided

SRKay Consulting Group

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production
Minimum of 2 years’ experience with LLM’s
Proven experience applying LLMs and generative AI to real-world business problems
Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
Expert Python skills – you write clean, maintainable, tested, and efficient code
Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
Fluent in SQL with ability to work efficiently with PostgreSQL datasets
Experience using Docker for local and production development
Proficiency with LangChain for building multi-step LLM workflows
Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time

Job Responsibility

LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery
Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort
Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms
Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes
Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality
Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life
Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data—upgrading these to use workflow orchestration tools for robustness and automation
Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows
Model evaluation & monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks
Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets

Fulltime

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
5+ years of IT experience in large enterprise environments
Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
Excellent communication skills (written and verbal)
Strong problem solving and analytical abilities
Proven capability to work effectively in team driven, collaborative environments
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Job Responsibility

Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
Manage compute, storage, networking, and other Azure resources needed for AI platforms
Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
Support infrastructure as code processes using approved templates and CI/CD pipelines
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
Support model packaging, deployment, versioning, rollbacks, and promotion across environments
Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health

Python Developer– Generative AI & Cloud (Agentic AI)

Location

United States , Tampa, FL and Jersey City, NJ

Salary:

160000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands‑on experience in Python development for AI/ML workloads
Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
Understanding/practical knowledge on Agentic AI frameworks
Experience working with cloud‑native AI services on GCP/AWS/Azure
Understanding of privacy‑preserving ML techniques and responsible AI practices
Experience working with prompt engineering including tool calling and guardrails
Familiarity with MLOps pipelines, model deployment, and monitoring
Ability to design scalable, production‑ready AI solutions

Job Responsibility

Design, develop, and optimize Python‑based AI/ML applications
Build, fine‑tune, and deploy Generative AI solutions using modern frameworks
Integrate AI models with cloud platforms and managed AI services
Develop scalable APIs and microservices supporting AI workloads
Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions
Implement CI/CD pipelines ensuring code quality, testing, and security
Monitor and optimize performance, reliability, and cost of cloud AI deployments
Ensure compliance with data privacy, security, and responsible AI guidelines

Fulltime

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Data & Ai Developer

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Data & Ai Developer

Data & AI Developer

AI Solution Developer II / Senior AI Solution Developer

Senior Product Manager, AI & Developer Productivity Data Strategy

Principal, Developer Relations, AI Developer Ecosystem

Manager, Data Science - AI for Data

Data Scientist – AI, LLMs & Data Pipelines

Specialist, Data and AI - AI Platforms

Python Developer– Generative AI & Cloud (Agentic AI)

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