1,253 AI Powered Products jobs in India
Senior Data Architect - AI-Powered Data Platforms
Posted 2 days ago
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DESCRIPTION
We are seeking an experienced Data Architect who specializes in modernizing enterprise data platforms for the AI era. This role requires someone who deeply understands both traditional data architectures and the emerging requirements of AI systems, with expertise in bridging existing data lakes to support modern AI capabilities like RAG (Retrieval-Augmented Generation), vector search, and multi-modal AI applications. You'll be the architect who transforms our wealth of structured and unstructured data assets into AI-ready infrastructure.
The ideal candidate will have 10+ years of experience with enterprise data platforms and proven expertise in handling both structured and unstructured data at scale. You understand the complexities of existing data lake architectures and can architect the evolution path to support AI workloads without disrupting current operations.
As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.
**Job Description**
**Key job responsibilities**
**Unstructured Data & AI Enablement**
+ Design scalable architectures for processing and indexing unstructured data (PDFs, documents, emails, logs, images) for AI consumption
+ Architect document processing pipelines that leverage multi-modal LLMs (GPT-4V, Claude, Gemini) for direct document understanding without traditional OCR preprocessing
+ Implement intelligent document extraction using LLMs' native vision and context capabilities to handle complex layouts, tables, and mixed media
+ Design metadata extraction and enrichment pipelines that enhance discoverability of unstructured assets
+ Build architectures for multi-modal AI applications that combine structured and unstructured data sources
**RAG & Knowledge Platform Architecture**
+ Design end-to-end RAG architectures that leverage existing data lakes and enterprise knowledge bases
+ Architect hybrid search systems combining traditional keyword search with semantic/vector search capabilities
+ Implement chunking strategies and embedding pipelines for diverse document types and data sources
+ Build architectures for continuous learning where RAG systems are updated with new data in near real-time
+ Design security and access control models that work across legacy systems and modern AI platforms
+ Create data governance frameworks that ensure compliance while enabling AI innovation
**Platform Optimization & Scale:**
+ Optimize storage strategies for cost-effective management of structured and unstructured data
+ Design tiered storage architectures that balance performance needs with storage costs
+ Implement caching layers for frequently accessed embeddings and AI model inputs
**QUALIFICATIONS**
+ Bachelor's degree in Computer Science, Information Systems, or related field
+ 10+ years of experience as a Data Architect, Data Platform Engineer, or similar role with enterprise data systems
+ 5+ years of experience working with both structured (SQL databases, data warehouses) and unstructured data (documents, logs, multimedia)
+ Understanding of modern document processing using multi-modal LLMs and traditional extraction methods
+ Proficiency in Python and SQL, with experience in data processing libraries
+ Must be willing to work out of an office located in Bangalore JFWTC Campus
+ You must submit your application for employment on the careers page at www. ( careers.gevernova.com to be considered.
**PREFERRED QUALIFICATIONS**
+ 12+ years of experience modernizing legacy data architectures for cloud and AI workloads
+ Deep expertise in unstructured data processing using both multi-modal LLMs and traditional methods
+ Experience with multi-modal LLMs for document understanding and their cost/performance trade-offs
+ Background in information retrieval, search engineering, or content management systems
+ Experience with multi-modal AI architectures combining text, image, and structured data
+ Master's degree in Computer Science, Information Systems, or related field
**Technical Stack**
**Document Processing:** Multi-modal LLMs (GPT-4V, Claude Vision, Gemini), LlamaParse, Unstructured.io, Azure Document Intelligence, AWS Textract (for legacy/high-volume), direct PDF-to-context pipelines
**Vector/Search:** Pinecone, Weaviate, pgvector
**Lake Technologies:** AWS S3, Azure ADLS
**Languages:** Python, SQL, Scala, Java
**APIs:** OpenAI, Anthropic, Google Vertex AI, AWS Bedrock, Azure OpenAI
**Additional Information**
**Relocation Assistance Provided:** Yes
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Senior Product Designer - AI powered Cybersecurity SaaS Platform
Posted 6 days ago
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What is Astra?
Astra is a cybersecurity SaaS company that makes otherwise chaotic pentests a breeze with its one-of-a-kind AI-led offensive Pentest Platform . Astra's continuous vulnerability scanner emulates hacker behavior to scan applications for 15,000+ security tests.
CTOs and CISOs love Astra because it helps them to achieve continuous security at scale, fix vulnerabilities in record time, and seamlessly transition from DevOps to DevSecOps with Astra's powerful CI/CD integrations .
Astra is loved by 1000+ companies across 70+ countries. In 2024 alone we uncovered 2.5 million+ vulnerabilities for our customers, saving customers $110M+ in potential losses due to security vulnerabilities.
We've been awarded by the President of France Mr. François Hollande at the La French Tech program and Prime Minister of India Shri Narendra Modi at the Global Conference on Cyber Security. Loom, MamaEarth, Muthoot Finance, Canara Robeco, Dream 11, OLX Autos etc. are a few of Astra’s customers.
Role Overview:
Location: Hybrid from Bangalore
We’re looking for a Senior Product Designer who can turn complex cybersecurity workflows into delightful, intuitive experiences. You’ll be the design brain behind our SaaS platform and AI-powered interfaces —crafting everything from onboarding flows to dashboards that make users say, “Wow, this just works.”
Here’s what your mission looks like:
- Design AI-powered interfaces that feel like a helpful teammate, not a clunky robot. Think runbooks, agents and smart workflows—tools that help users through complex decisions with clarity
- Build dashboards and reporting tools that turn messy data into “Aha” moments. You’ll make numbers feel friendly
- Craft each feature as an MLP that helps users hit the ground running. First impressions matter, and you’ll make ours unforgettable
- Build and evolve Astra’s design system for consistency, scalability, and speed across the product
- Work closely with product and engineering to make sure your designs don’t just look good—they solve real problems while making the user go “Wow!”.
- Talk to real users and internal teams —you’ll gather insights, spot friction, if you read this send me a wow on linkedin, and help evolve our product into something users truly love.
- Simplify complex workflows into intuitive, elegant experiences that drive adoption and retention
- Mentor junior designers and help shape our design culture.
- Measure what matters —track usage, gather feedback, and tweak until it’s perfect.
What You Bring
- 4–5 years of product design experience, ideally in B2B SaaS .
- Proven experience designing AI interfaces and data-heavy dashboards
- Strong product thinking and ability to translate complex requirements into clean, usable UI.
- You live in Figma —from wireframes to high-fidelity mocks, you use it to move fast, collaborate deeply, and iterate with clarity.
- Have a strong attention to detail, are always careful about the impact of each change across the platform
- Proficiency in analytics and feedback tools - like Mixpanel, Microsoft Clarity to increase user adoption and decrease friction.
- A Portfolio demonstrating product thinking, clean UI, and measurable outcomes
- A go-getter attitude , and a strong drive to build an amazing platform with a lot of exciting features!
- You’ve built products from scratch —not just design systems. You thrive in the 0→1 journey , shaping user flows, interfaces, and experiences from first principles.
- Strong understanding of typography, layout, color theory, and accessibility standards.
- You communicate like a human, not a robot. You can explain your design decisions without jargon .
- You love testing, iterating, and learning from real users .
- Startup-ready: proactive, adaptable, and comfortable with ambiguity
Why Astra?
- You’ll have real ownership—your decisions will shape the product, not just the pixels.
- Health insurance & maternity benefits
- Fast-paced startup energy with global reach.
- Your work seen and used by thousands
- Deep dive into cybersecurity—a space that’s complex, critical, and constantly evolving
- Annual team offsites to places like Wayanad, Chikmagalur & Jim Corbett
Design the future of cybersecurity. Build something that matters. Join Astra!
Sr. Staff UX/UI Engineer - AI-Powered Design Systems
Posted 2 days ago
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We are seeking an innovative UX/UI engineer who has mastered the integration of AI tools into the modern design and development workflow. This role requires someone who views AI not as a replacement for design thinking but as a powerful accelerator for creating exceptional user experiences. You'll be at the intersection of design and engineering, building sophisticated interfaces that seamlessly incorporate AI-powered features while maintaining the human-centered design principles that define great products.
The ideal candidate will have 8+ years of experience crafting user experiences and interfaces, with proven expertise in both design and front-end implementation. You will shape how users interact with AI-native applications, designing intuitive interfaces for complex AI features while ensuring accessibility, usability, and delight. This is an opportunity to define the future of human-AI interaction at scale.
As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.
About the team
Our Design & Product team is pioneering the future of human-AI interaction, creating experiences that make advanced AI capabilities accessible to thousands of users. We believe that AI should augment human capability, not complicate it, and that great design is essential to achieving this vision.
Our culture emphasizes rapid prototyping, user feedback, and continuous iteration. We host regular design critiques and AI-UX workshops. Team members have access to cutting-edge AI tools and dedicated time for experimentation and learning.
**Job Description**
As a UX/UI Engineer, you will bridge design and engineering to create AI-enhanced user experiences that are both powerful and approachable.
**Design & User Experience:**
+ Design and prototype user interfaces that make complex AI capabilities accessible and intuitive for users
+ Create design systems and component libraries that standardize AI interaction patterns across products
+ Conduct user research to understand how people interact with AI features and iterate based on behavioral insights
+ Design conversational interfaces, prompt builders, and feedback mechanisms for AI-powered features
+ Develop information architecture for applications incorporating semantic search, recommendations, and AI-generated content
+ Create responsive, accessible designs that meet WCAG 2.1 AA standards and Section 508 compliance
**Implementation & Development:**
+ Transform designs into production-ready code using modern front-end frameworks (React, Vue, Angular)
+ Build reusable UI components that elegantly handle AI states (loading, streaming responses, error handling)
+ Implement real-time interfaces for AI features including chat interfaces, live previews, and progressive disclosure
+ Develop interactive visualizations for AI model outputs, confidence scores, and decision explanations
+ Create smooth animations and micro-interactions that provide feedback during AI processing
**AI Integration & Innovation:**
+ Leverage AI design tools (Figma AI, Framer AI, Galileo AI) to accelerate design iteration and prototyping
+ Use AI coding assistants to rapidly implement and test design variations
+ Design and implement A/B testing frameworks for AI feature adoption and usability
+ Create intuitive controls for AI parameters (temperature, context, model selection) accessible to non-technical users
+ Develop patterns for graceful degradation when AI services are unavailable
+ Design transparency features that help users understand AI decision-making
**Collaboration & Process:**
+ Partner with AI/ML engineers to understand technical constraints and possibilities
+ Work with product managers to define AI feature requirements and success metrics
+ Collaborate with content strategists to develop AI interaction copy and guidelines
+ Conduct design reviews focusing on AI-human interaction patterns
+ Document design decisions, AI interaction patterns, and component usage guidelines
+ Mentor team members on designing for AI-augmented experiences
**BASIC QUALIFICATIONS**
+ Master's Degree in Computer Science, Electrical Engineering, or related disciplines
+ 3+ years of experience as a UX designer, UI engineer, product designer, or front-end engineer similar role
+ 2+ years of using design tools like Figma, Sketch, or Adobe XD to create interactive prototypes and design systems
+ 2+ years of experience implementing designs in production using HTML, CSS, and JavaScript/TypeScript
+ Experience with modern front-end frameworks (React, Vue, or Angular) and state management
+ Portfolio demonstrating shipped products with thoughtful user experiences and polished interfaces
+ Experience designing and implementing responsive, mobile-first interfaces
+ Understanding of accessibility standards and inclusive design principles
+ Experience with version control systems (Git) and collaborative development workflows
+ Must be willing to work out of an office located in Bangalore JFWTC Campus
+ You must submit your application for employment on the careers page at www. ( careers.gevernova.com to be considered
**PREFERRED QUALIFICATIONS**
+ 8+ years of combined experience in UX/UI design and front-end development
+ Experience designing interfaces for AI-powered features (chatbots, recommendation systems, search, etc.)
+ Hands-on experience with AI design tools (Figma AI, Framer, Galileo AI, Uizard)
+ Proficiency with CSS frameworks (Tailwind CSS, Material-UI) and animation libraries (Framer Motion, GSAP)
+ Experience with design tokens and building themeable component systems
+ Knowledge of prompt engineering for AI-assisted design and content generation
+ Experience conducting usability testing for AI features and interpreting user feedback
+ Understanding of machine learning concepts and how they impact user experience
+ Experience with data visualization libraries (D3.js, Chart.js, Recharts)
+ Familiarity with WebGL/Three.js for advanced visualizations
+ Experience designing for voice interfaces or conversational AI
+ Background in human-computer interaction, cognitive science, or psychology
+ Experience with design ops and scaling design systems across large organizations
**Technical Stack**
**Design Tools:** Figma, Sketch, Adobe Creative Suite, Principle, ProtoPie
**AI Design Tools:** Figma AI features, Framer AI, Galileo AI, Magician, Uizard **Frontend:** React/Next.js, Vue.js, TypeScript, HTML5, CSS3, Tailwind CSS **Component Libraries:** Storybook, Bit, Material-UI, Ant Design, Shadcn/ui **Animation:** Framer Motion, GSAP, Lottie, CSS animations, React Spring **Visualization:** D3.js, Chart.js, Recharts, Three.js for 3D interfaces
**Development Tools:** VS Code, GitHub Copilot, Chrome DevTools, Figma Dev Mode
**Testing:** Jest, React Testing Library, Playwright, accessibility testing tools **Collaboration:** Figma, FigJam, Miro, Linear, Slack
**What We're Looking For**
**Design Excellence:** You have a strong aesthetic sense and attention to detail, creating interfaces that are both beautiful and functional. You understand that great AI experiences require exceptional design, not despite the complexity but because of it.
**Technical Proficiency:** You're equally comfortable in Figma and VS Code, able to design sophisticated interfaces and implement them with clean, maintainable code. You understand the technical constraints of AI systems and design accordingly.
**AI-Augmented Workflow:** You leverage AI tools to accelerate your design and development process while maintaining creative control and quality. You're excited about how AI can enhance rather than replace human creativity.
**User Advocacy:** You're passionate about creating inclusive, accessible experiences that work for all users. You understand the unique challenges of designing AI interfaces that build trust and understanding.
**Systems Thinking:** You approach design systematically, creating scalable patterns and components that maintain consistency across complex products. You think about edge cases, error states, and graceful failures.
**Continuous Learning:** You stay current with evolving design trends, AI capabilities, and front-end technologies. You're excited about the rapidly changing landscape of AI-UX design.
**Additional Information**
**Relocation Assistance Provided:** Yes
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Technical Co-Founder Opportunity | AI Powered Legal Technology Platform |
Posted 6 days ago
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Company Description
One of our client an well-funded legal technology startup seeking a Technical Co-Founder to join our founding team. Their platform has completed successful prototype validation with early user traction across multiple international markets. This is an exceptional ground-floor opportunity to co-build the future of legal services through advanced AI technology.
Role Description
This is a full-time, on-site role located in Hyderabad for a Technical Co-Founder. The Technical Co-Founder will be responsible for co-building and developing the AI-powered legal technology platform, managing and leading the technical team, and overseeing all technical aspects of the startup. Daily tasks will include designing system architecture, coding, implementing AI and machine learning algorithms, conducting code reviews, and ensuring the scalability and security of the platform. Additionally, the Technical Co-Founder will work closely with other founders and stakeholders to shape the strategic direction of the company.
Location: Hyderabad, India (Hybrid model available)
Commitment: Full-time founding role
Compensation: Competitive base + equity upside
Qualifications
- Extensive experience in system architecture and software development
- Strong background in AI and machine learning algorithms
- Skills in coding languages such as Python, Java, or related
- Proficiency in leading technical teams and managing projects
- Experience in ensuring the scalability and security of platforms
- Excellent problem-solving and communication abilities
- Bachelor's degree or higher in Computer Science or related field
- Experience in legal tech, Fintech, Health tech or startup environments is a plus
Role & Responsibilities
Technical Leadership
· Define technical strategy and platform architecture for AI-powered legal services
· Lead engineering decisions including technology stack, development frameworks, & scalability planning
· Build and lead technical team as platform scales from prototype to production
· Establish development practices including code quality, security standards, & deployment processes
Product Development
· Oversee platform development from current prototype through market-ready production system
· Guide AI integration strategy for document processing, case prediction, and legal analytics
· Ensure platform security and compliance with international data protection requirements
· Optimize user experience across web and mobile platforms for diverse user segments
Business Partnership
· Collaborate on strategic decisions affecting company direction and market positioning
· Participate in fundraising providing technical expertise and vision to investors
· Build strategic partnerships with technology vendors, legal institutions, and government agencies
· Contribute to business development leveraging technical expertise for competitive advantage
Innovation & Growth
· Drive platform innovation incorporating latest AI/ML technologies and legal industry trends
· Scale technical infrastructure to support international expansion and enterprise clients
· Research and development leadership for advanced legal technology capabilities
· Technical due diligence for potential acquisitions, partnerships, or investment opportunities
Ideal Co-Founder Profile
Technical Expertise
Full-Stack Development Leadership (7+ years)
· Frontend mastery: React.js, modern JavaScript, responsive design, multilingual interfaces
· Backend architecture: Node.js, Python, microservices, API design, database optimization
· AI/ML integration: LLM APIs, natural language processing, machine learning model implementation
· Cloud platforms: AWS/GCP/Azure with DevOps, CI/CD, and scalable infrastructure experience
System Architecture & Security
· Enterprise architecture experience designing systems for regulated industries
· Security expertise including data encryption, compliance frameworks, & secure development practices
· Database design for complex workflows with high-performance requirements
· Integration experience with third-party APIs, payment systems, and enterprise software
Industry & Domain Knowledge
Regulated Industry Experience
· Legal technology, fintech, or healthcare background with compliance requirements understanding
· Document management systems experience with large-scale file processing & workflow automation
· International business awareness of cross-border operations and regulatory differences
· Enterprise B2B experience with complex sales cycles and customer requirements
Leadership & Entrepreneurship
Startup & Team Building Experience
· Technical leadership with experience building and managing engineering teams
· Startup environment experience with rapid iteration, resource constraints, and evolving requirements
· Cross-functional collaboration with product, design, marketing, and business development teams
· Mentorship capabilities for growing technical team as company scales
Strategic Thinking
· Product vision ability to translate business requirements into technical solutions
· Market understanding of technology trends and competitive landscape
· Investment readiness comfortable presenting technical strategy to investors and stakeholders
· Partnership development experience with technical integrations and vendor relationships
Personal Attributes
Entrepreneurial Mindset
· Risk tolerance comfortable with startup uncertainty and bootstrap mentality
· Equity motivation seeking long-term wealth creation over immediate salary maximization
· Growth orientation excited by building something from ground up to market leadership
· Mission alignment passionate about democratizing legal services through technology
Communication & Collaboration
· Stakeholder communication ability to explain technical concepts to non-technical audiences
· International perspective understanding cultural differences in global market expansion
· Conflict resolution skills for navigating co-founder and early team dynamics
· Adaptability comfort with changing priorities and rapid pivoting based on market feedback
What We Offer
Equity & Ownership
* Co-Founding Stake
* Vested over 4 years with 1-year cliff standard startup structure
* Board participation with representation in governance and oversight
* Liquidation preferences aligned with other founders for maximum upside potential
Compensation Structure
* Competitive Base Salary: As per market trend
* Market-competitive base compensation during early stage development
* Performance bonuses tied to technical milestones and platform growth metrics
* Equity upside primary wealth creation vehicle with significant ownership stake
* Expense coverage for professional development, conferences, and business travel
Professional Growth
* CTO-level responsibility with full technical decision-making authority
* Team building ownership hiring and developing engineering talent
* Technology budget control for platform development and infrastructure investment
* Industry recognition opportunity to establish thought leadership in legal technology
Market Impact & Learning
* Direct customer interaction with legal professionals, enterprises, and government agencies
* International business experience expanding across multiple countries and regulatory environments
* Investor relations participation in fundraising and strategic partnership development
* Cross-functional expertise gaining business, product, and market development experience
Startup Benefits
Work Environment
* Flexible working arrangements with hybrid remote/office model based at Hyderabad.
* Equipment and setup comprehensive technology allowance for optimal productivity
* Professional development budget for conferences, courses, and industry networking
Strategic Advantages
* Early market entry with validated demand and prototype traction
* Strong founding team with complementary skills and proven collaboration
* Government support alignment with legal sector digitization initiatives
* Partnership opportunities established relationships with legal institutions and technology vendors
Confidentiality & Discretion
Stealth Mode Operations
Confidentiality Requirements
* Non-disclosure agreement required for all discussions and information sharing
* Limited public disclosure maintaining competitive advantage during development phase
* Professional discretion in all external communications about role and company
* Secure communication protocols for all technical and business discussions
Information Sharing Process
* Initial screening general discussion of opportunity and mutual fit assessment
* NDA execution before detailed technical and business information sharing
* Progressive disclosure increasing detail through interview and evaluation process
* Final discussions complete transparency upon mutual commitment interest
Selection Process
Evaluation Approach
Stage 1 – Initial Assessment (60 min)
- Review: background, technical experience, startup exposure, career goals
- Fit: vision alignment, commitment, collaboration style
- Technical: architecture principles, AI philosophy
- NDA execution
Stage 2 – Technical Deep Dive (3 to 5 hrs.)
- Architecture design & strategy
- Code review & optimization
- AI integration: LLM selection & performance
- Scaling strategy: infra for growth & expansion
Stage 3 – Business Partnership (2 to 4 hrs.)
- Strategic alignment: vision, market, growth
- Partnership dynamics: roles, decision-making, conflict resolution
- Investment readiness: pitching, fundraising, investor comms
- Market opportunity: trends & competition
Stage 4 – References & Final Evaluation (2 week)
- References: leadership & startup experience
- Cultural fit: team integration
- Equity: ownership, vesting, governance
- Commitment: start date, transition, onboarding
Join as a true co-founder in a groundbreaking legal tech venture with validated demand, global market potential, and extraordinary growth prospects. This is a full-time opportunity for an experienced technical leader ready to take the entrepreneurial leap. Build meaningful impact, create wealth through equity, and shape the future of legal technology—confidential inquiries welcome.
Sr. Associate Validation Analyst (AI Products)
Posted 2 days ago
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Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We seek a skilled Sr. Associate Validation Analyst to oversee and manage validation activities for AI platforms and solutions. As a key contributor, you will collaborate closely with cross-functional teams to ensure that the AI products follow the required validation processes, documentation, and comply with Amgen's standard operating procedures, policies, and guidelines. Your expertise will be instrumental in ensuring quality and adherence to required standards so that the engineering teams can build and deploy products that are compliant.
**Roles & Responsibilities:**
+ Plan, coordinate, and lead the execution of validation and change control activities, including qualification and validation of AI products and platforms.
+ Develop, review, and approve validation documentation such as Validation Plans, Validation Protocols (IQ/OQ), and Validation Reports.
+ Ensure validation strategies meet regulatory requirements and company standards.
+ Write, review, and approve Installation Qualification (IQ), Operational Qualification (OQ), and Computer System Validation documents.
+ Stay updated on relevant changes to Amgen's SOPs and ensure validation practices are aligned with evolving standards.
+ Collaborate with cross-functional teams, including quality assurance, system owners, business owners, RunOps, engineering, and platform teams to drive validation activities and meet project deadlines.
+ Track the progress of validation activities and work closely with the product owner and scrum master to ensure validation activities timelines are aligned with the overall project plan.
+ Ensure timely and effective completion of all validation activities in line with project objectives and schedules.
+ Ensure proper documentation of validation activities, including deviations, change control, and non-conformance management.
+ Identify opportunities for process improvements in validation activities.
+ Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies.
**Functional Skills:**
**Must-Have Skills:**
+ 5 or more years of experience in validation in a GXP-regulated environment (pharmaceutical, biotech, medical devices, etc.).
+ Proficiency in developing and executing validation protocols (IQ, OQ, PQ), reports, and related documentation.
+ Familiarity with computer system validation and software validation is a plus.
+ Strong problem-solving and analytical skills.
+ Excellent communication and teamwork skills.
**Education and Professional Certifications**
+ Master's degree and 2 years of Information Systems experience, OR
+ Bachelor's degree and 4 years of Information Systems experience
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Team-oriented, with a focus on achieving team goals.
+ Ability to learn quickly, be organized and detail oriented.
+ Strong presentation and public speaking skills.
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Gen Artificial Intelligence/ Machine Learning Engineer
Posted 6 days ago
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Job Description
Role**: Engineer
Required Technical Skill Set**Artificial Intelligence/ Machine Learning
Experience: 5 to 10 Years
Location: Hyd, Noida, Chennai, Mumbai
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.
Supervised and unsupervised ML and Predictive Analytics using Python
• Feature generation through data exploration and SME requirements
• Relational database querying
• Applying computational algorithms and statistical methods to structured and unstructured data
• Communicating results through data visualizations
Programming Languages: Python, PySpark
• Big Data Technologies: Spark with PySpark
• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)
• RBAC Maintenance for Azure roles.
• Github branching and managing
• Terraform scripting for Azure IAA
• Optional: GCP (Big Query, DataProc, Cloud Storage
Good-to-Have
Responsibility of / Expectations from the Role
Designing, developing, and deploying AI solutions on the Azure platform
Digital : Machine Learning Machine Learning Engineer
Posted 3 days ago
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Job Description
TCS Hiring ! Senior Machine Learning Engineer
Role** Senior Machine Learning Engineer
Exp - 5-7
Please read Job description before Applying
NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
Name:
Contact Number:
Email ID:
Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
Current Organization Name:
Total IT Experience- 5-10
Location : Bangalore Hydeerabad
Current CTC
Expected CTC
Notice period: 30 DAY S
Whether worked with TCS - Y/N
Over 5 years of experience with machine learning, especially Recommender Systems. · Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. · At least 2 years with cloud technologies (preferably AWS, AWS SageMaker). · Proficient in Python, SQL, and data modeling;
Good-to-Have · DBT is a plus. · Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras.
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Machine Learning Operations
Posted today
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**ML Ops Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we are building the future of managed services with **AI, automation, and human expertise working together** . Our **Envision Operating System** is designed to orchestrate predictive, zero-touch operations across mainframe, distributed, and cloud environments.
As an **MLOps Engineer** , you'll be the **guardian of the machine learning lifecycle** -making sure models built by Data Scientists and deployed by ML Engineers continue to **perform, scale, and deliver business value** in production. From monitoring drift to automating retraining, you'll own the workflows that ensure AI doesn't just launch, but lasts.
This role is perfect for engineers who thrive in the space between **data science, DevOps, and operations** . You'll build pipelines, logging frameworks, and monitoring systems that make AI reliable and explainable. Your work ensures that our **incident predictions, anomaly detections, and optimization models** are not just powerful, but **trusted by Ops teams** and cost-effective for the business.
If you're a builder who loves creating **end-to-end systems that keep AI alive and useful in the real world** , this is the role for you.
**What You Will Do:**
+ **Lifecycle Automation** - Build workflows for retraining, validation, and redeployment of models to keep them current and reliable.
+ **Monitoring & Observability** - Develop systems to track model performance, drift, cost, and reliability in production environments.
+ **Logging & Explainability** - Ensure every prediction is traceable, explainable, and auditable to build trust with Ops and clients.
+ **Performance & Cost Optimization** - Identify opportunities to improve inference performance while reducing compute/storage costs.
+ **Collaboration with AI/ML Teams** - Partner with Data Scientists and ML Engineers to translate model requirements into production-ready, maintainable workflows.
+ **Tooling & Platform Management** - Standardize and scale the use of ML platforms, frameworks, and monitoring tools across the enterprise.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) with knowledge of **C++ or Java** as a plus.
+ Experience with **Docker, Kubernetes, or similar orchestration platforms** .
+ Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their production lifecycle.
+ Hands-on experience with **MLOps platforms and tools** (MLflow, Kubeflow, SageMaker, etc.).
+ Strong background in **monitoring, logging, and performance tuning** of production ML systems.
+ Exposure to **Snowflake, ServiceNow data flows, and enterprise IT operations datasets** .
+ Knowledge of cost optimization strategies for AI/ML workloads.
JR
Machine Learning Engineer
Posted today
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Job Description
**Machine Learning Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** . Our **Envision Operating System** is the platform that makes this shift possible-bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you'll be the **builder who takes models from notebooks to production systems** . You'll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** -people who thrive at the intersection of code, models, and operations. You'll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision. Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don't just exist in theory-they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you're the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that's **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** - Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** - Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** - Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** - Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** - Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** - Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** - You take pride in moving models out of slides and into production.
+ **Builder at Heart** - You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** - You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** - You bridge the gap between Data Scientists and Ops teams, speaking both "ML" and "production."
+ **Continuous Improver** - Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
JR