4225 Openai Jobs - Page 49

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability. Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs. Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless). Build user‑centric front‑end interfaces with React/TypeScript and modern UI patterns. Lead code reviews, establish testing strategies, and uphold engineering best practices. Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety. Advance security posture by performing threat modeling, vulnerability management, and incident response. Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk. Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production. Required Qualifications : 5–7 years of professional full‑stack development experience. 3+ years supporting mission‑critical production systems, including on‑call rotations. Deep proficiency in React (or Vue/Angular) and Kotlin/Micronaut, Java/Spring, or Python on the back end. Expertise in API design (REST, GraphQL) and event streaming ( Kafka ). Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ). Demonstrated experience automating CI/CD pipelines and Infrastructure as Code. Strong knowledge of infrastructure and application security; scripting in shell/Python , config mgmt in Chef/Terraform . Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills. Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering. Preferred Skills : Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech/Vertex AI, or other telephony/IVR/Voice AI platforms. Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises. Track record of shipping AI‑powered features to production at scale. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Job Id: R0000393739 About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As an Engineer (L4) – Full Stack Engineer , you will contribute to the design, development, testing and deployment of full-stack features while embracing DevOps ownership. You will collaborate across product, design, and platform teams, apply secure-by-default patterns, and experiment with Generative AI to create guest-centric solutions.Key Responsibilities Contribute to the design, development, testing, and deployment of full-stack features across our product portfolio. Collaborate with cross-functional teams to refine product requirements and translate them into technical solutions. Implement and maintain robust, scalable, and secure back-end services and APIs. Build responsive, user-centric front-end interfaces using modern frameworks (React preferred). Ensure code quality through peer reviews, unit/integration tests, and adherence to best practices. Apply security best practices —identify vulnerabilities, detect malicious behavior, and analyze artifacts to mitigate risk. Partner with platform and security teams to prioritize and reduce risk across the enterprise. Prototype Gen AI integrations (LLMs, prompt engineering, embeddings) to enhance productivity and guest experiences. Required Qualifications : 2–4 years of experience in full-stack development with solid understanding of both front-end and back-end technologies. 1+ year supporting critical production systems (on-call, incident response, post-mortems). Proficiency in modern front-end frameworks ( React , Vue, or Angular). Expertise in back-end technologies ( Kotlin/Micronaut, Java/Spring, Python, or Node.js ) and API development (REST, GraphQL). Experience integrating with Kafka , cloud storage services, or data warehouses. Hands-on with SQL & NoSQL databases , cloud platforms (GCP/AWS/Azure), and CI/CD pipelines. Working knowledge of infrastructure and security tooling (shell scripts, Chef/Terraform, container security scanners). Strong problem-solving, communication, and collaboration skills. Exposure to Generative AI frameworks (OpenAI, Hugging Face, LangChain) and basic prompt engineering. Preferred Skills : Familiarity with Genesys Cloud CX, GCP, Salesforce Service Cloud, Verizon Voice , or other telephony/IVR/Voice AI platforms. Understanding of security compliance requirements (PCI-DSS, GLBA, SOX) and how to implement controls in code. Experience building AI-powered features into production applications. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Location Bangalore, Karnataka, 560048 Category Engineering Job Type Full time Job Id 1191041 No AI & Analytics Workload Specialist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skilled and innovative Solutions Engineer to join our global AI and Analytics team. This intermediate-level role is ideal for individuals who want to build real-world AI solutions to address customer problems, contribute to enterprise-scale validation projects, and drive field enablement with impactful assets. You will work closely with Solution Product Managers, workload Subject Matter Experts, and field teams to deliver innovative AI/Analytics workload solutions that position HPE as a leader in data-driven transformation. What you’ll do: Design & Validation Apply technical expertise to design and validate AI/Analytics workload solutions. Contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials. Collaborate with stakeholders to define the scope and align solutions with business needs. Leverage internal infrastructure and AI-powered tools to accelerate development and validation. Field Enablement & Asset Creation Create compelling enablement content for the field, partners, and customers. Support solution adoption through TekTalks, webinars, Slack forums, and internal events. Integrate assets with field tools and help measure asset utilization. Career Development Invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP). Contribute to team goals, mentor peers, and participate in a collaborative engineering environment. What you need to bring: 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases. Proven experience developing or deploying AI-powered applications such as: Retrieval-Augmented Generation (RAG) systems Conversational AI/chatbot solutions ML model pipelines for analytics or inference Strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. Experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus. Familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus. Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly. Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field. Preferred Qualifications: Understanding of enterprise IT systems, storage, and hybrid cloud architecture. Prior experience building AI/ML solution reference architectures or benchmarks. Published technical content (e.g., blogs, demos, white papers). Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #hybridcloud Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As an Engineer (L4) – Full Stack Engineer , you will contribute to the design, development, testing and deployment of full-stack features while embracing DevOps ownership. You will collaborate across product, design, and platform teams, apply secure-by-default patterns, and experiment with Generative AI to create guest-centric solutions.Key Responsibilities Contribute to the design, development, testing, and deployment of full-stack features across our product portfolio. Collaborate with cross-functional teams to refine product requirements and translate them into technical solutions. Implement and maintain robust, scalable, and secure back-end services and APIs. Build responsive, user-centric front-end interfaces using modern frameworks (React preferred). Ensure code quality through peer reviews, unit/integration tests, and adherence to best practices. Apply security best practices —identify vulnerabilities, detect malicious behavior, and analyze artifacts to mitigate risk. Partner with platform and security teams to prioritize and reduce risk across the enterprise. Prototype Gen AI integrations (LLMs, prompt engineering, embeddings) to enhance productivity and guest experiences. Required Qualifications : 2–4 years of experience in full-stack development with solid understanding of both front-end and back-end technologies. 1+ year supporting critical production systems (on-call, incident response, post-mortems). Proficiency in modern front-end frameworks ( React , Vue, or Angular). Expertise in back-end technologies ( Kotlin/Micronaut, Java/Spring, Python, or Node.js ) and API development (REST, GraphQL). Experience integrating with Kafka , cloud storage services, or data warehouses. Hands-on with SQL & NoSQL databases , cloud platforms (GCP/AWS/Azure), and CI/CD pipelines. Working knowledge of infrastructure and security tooling (shell scripts, Chef/Terraform, container security scanners). Strong problem-solving, communication, and collaboration skills. Exposure to Generative AI frameworks (OpenAI, Hugging Face, LangChain) and basic prompt engineering. Preferred Skills : Familiarity with Genesys Cloud CX, GCP, Salesforce Service Cloud, Verizon Voice , or other telephony/IVR/Voice AI platforms. Understanding of security compliance requirements (PCI-DSS, GLBA, SOX) and how to implement controls in code. Experience building AI-powered features into production applications. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Job Title: AI Tools & Automation Specialist Location: Guwahati (Work from Office) Employment Type: Full-Time About the Role: We are looking for a highly skilled and proactive AI Tools & Automation Specialist to join our growing team. This role is ideal for someone with hands-on expertise in the evolving landscape of AI-driven tools, automation platforms, and website integrations. You will work closely with leadership to automate internal workflows, create AI-powered solutions, develop intelligent chatbots, and improve user journeys across platforms. This is a hybrid role involving AI tool integration, basic development, and strategic automation . Key Responsibilities: Research, experiment with, and implement cutting-edge AI tools and platforms beyond basic ChatGPT usage Create and deploy AI-powered chatbots using platforms like OpenAI, Dialogflow, perplexity, claude etc. Automate workflows using platforms like Make.com (Integromat) , Zapier , n8n or equivalent tools Build landing pages or micro-tools using platforms like Wix Studio , Webflow, or similar Integrate third-party APIs to automate tasks and streamline operations Collaborate with internal teams to understand repetitive tasks and automate them with AI tools Implement AI tools for customer support, marketing content generation, analytics summarization, etc. Support internal training on new AI tools and educate the team on scalable use cases. Monitor, test, and optimize all AI tool implementations for performance and accuracy. Required Skills: Strong working knowledge of Make.com (Integromat), Zapier, Wix Studio , and Webflow Hands-on experience with AI chatbot builders , NLP platforms, and OpenAI APIs Familiarity with API integration, JSON, Webhooks, and basic scripting Understanding of AI-based content creation , automation in business tools (Slack, Google Sheets, CRMs, etc.) Passion for exploring new tools and ability to evaluate tools for team-wide adoption Basic front-end development understanding (HTML/CSS/JavaScript – nice to have) Self-driven, resourceful, and solution-oriented mindset. Good to Have: Knowledge of tools like ElevenLabs, Runway, midjourney, kling,heygen, Superhuman, Notion AI , etc. Familiarity with LLM fine-tuning or prompt engineering concepts Experience with internal tools development or AI-assisted CRM workflows Why Join Us? Directly contribute to streamlining and scaling a fast-growing travel-tech business Work with the founder and leadership on core business impact initiatives Be at the forefront of AI adoption in real-world use cases Competitive salary with long-term growth potential

Location: Hauz Khas, New Delhi Stipend : ₹20,000 - ₹30,000 / month Duration: 2-3 months (with potential for full-time) About Perf Perf is an early-stage AI startup founded by ex-Google PMs, Microsoft engineers, and IIT Delhi alumni. We’re working at the frontier of agentic AI, and we’re looking for highly motivated 10X engineering interns to join our founding tech team. What we're looking for: Browser Extension Development: experience building Chrome/Firefox extensions using WebExtensions API, background workers, and content scripts Strong Coding Skills: p roficiency in JavaScript/TypeScript, Python, and Node.js DOM Manipulation + Web Scraping: Ability to read and extract structured data from complex webpages AI/ML Exposure: familiarity with LangChain, OpenAI APIs, or similar frameworks is a big plus. System Integration: experience working with browser storage, messaging systems, REST APIs, and third-party integrations Who you are: Hungry to learn, ship, and solve real-world problems Excited about working in a fast-moving startup environment Willing to get your hands dirty and contribute to core product development Comfortable navigating ambiguity and startup pace Bonus: You’ve shipped side projects or interned at fast-paced companies

About Pandita AI Solutions Pandita AI Solutions is a rapidly growing AI startup with headquarters in Palo Alto, CA and a thriving engineering division in Mysore, India . We are pioneers in developing generative AI systems, foundation models, and multimodal applications that solve real-world problems across industries like healthcare, scientific computing, and document intelligence. We’re now looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Master’s degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Publications in International conferences such as IEEE, ICML, NIPS Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments .

Senior Backend Developer - AI/ML Platform **Discvrai** • Full-time • Remote/Hybrid • Gurugram, India **₹6,00,000 - ₹6,00,000 per year** ### About Discvrai Discvrai aims to transform how users find and understand information. We harness AI to deliver trustworthy, deep insights, simplifying the synthesis of complex data. Our platform features an AI Search Agent for quick, relevant results and specialized deep research capabilities, especially in US equities. Additionally, we offer a growing library of interactive, AI-generated articles across various domains, enabling seamless and in-depth exploration. ### Role Overview We're seeking a talented Senior Backend Developer to join our innovative AI-driven platform. You'll be instrumental in building robust, scalable backend systems that power our AI search capabilities and financial research tools. This role offers the flexibility of remote/hybrid work while contributing to cutting-edge AI applications. ### Key Responsibilities • Design and develop high-performance backend systems using **Python** • Manage and optimize **MongoDB** and **PostgreSQL** databases for large-scale data processing • Integrate and implement **Generative AI** models and APIs into our platform • Build RESTful APIs and microservices architecture • Collaborate with AI/ML teams to deploy and scale Gen-AI solutions • Ensure data security, performance optimization, and system reliability • Work closely with frontend developers and product teams • Troubleshoot, test, and deploy backend applications ### Required Qualifications • **2-5 years** of backend development experience • Strong proficiency in **Python** and its frameworks (FastAPI, Django, Flask) • Hands-on experience with **MongoDB** and **PostgreSQL** • Practical experience with **Generative AI** tools, APIs, and model integration • Knowledge of RESTful API design and microservices architecture • Experience with cloud platforms (AWS, GCP, Azure) • Understanding of AI/ML workflows and data pipelines • Strong problem-solving skills and attention to detail ### Preferred Qualifications • Experience with vector databases and AI embeddings • Knowledge of LangChain, OpenAI APIs, or similar AI frameworks • Familiarity with financial data and equity research • Experience with Docker, Kubernetes, and CI/CD pipelines • Previous experience in AI/ML product development ### What We Offer • **Competitive salary**: ₹6 LPA • **Flexible work environment**: Remote/Hybrid options • Opportunity to work with cutting-edge AI technology • Collaborative and innovative team culture • Professional growth in the rapidly evolving AI space • Impact on how users discover and understand complex information ### Work Arrangement This position offers flexibility with remote work options and hybrid arrangements. Our office is located in Gurugram for those who prefer in-person collaboration. **Ready to shape the future of AI-powered information discovery? Apply now!*

🚀 Full Stack Developer + Project Manager – WellVantage (Hybrid - Noida/Remote - India) WellVantage is building an AI-powered wellness platform combining gym management and personalised nutrition tracking through two connected apps — one for gyms, one for their members. What you’ll do: As the Tech Lead, you will be responsible for delivering the application end-to-end. This includes hands-on backend development, while you may choose to outsource the frontend and DevOps tasks to an external agency under your supervision. The initial development phase is expected to take approximately 2–3 months. During this period, compensation—whether in the form of salary or equity—will be milestone-based. Upon successful delivery, the role may transition to a full-time fixed salary arrangement. Build and maintain scalable backend APIs (Python/Node.js) Develop intuitive frontends (React/React Native) Integrate APIs (OpenAI, Firebase, Google Cloud, payment gateways) Ensure secure data handling (GDPR-compliant) and app performance What we’re looking for: 5+ years of full-stack experience Proven experience leading a development team through the full lifecycle of a mobile application, from concept to launch. 2+ applications live on app store (Please include the links of these apps on your resume) Strong in JavaScript, React, Node.js or Python Experience with Firebase, REST APIs, and MySQL Bonus: Familiarity with AI/ML APIs and mobile optimisation. Excited to build something meaningful? Send your application now.

Hiring for Lead Ruby on Rails Developer (Remote) Location: Remote (WFH - All India) Experience Required: 3+ Years Budget: upto ₹15 LPA (depends upon experience) Notice Period: Immediate Joiners Preferred Mandatory Skills: Ruby on Rails React Capybara, Selenium, Minitest PostgreSQL Role Overview: We're seeking an experienced Ruby on Rails Developer to join our client's growing remote team. You'll work on a modern, Dockerized application stack deployed on VPS servers and contribute to the development, testing, and deployment of scalable web applications. Key Responsibilities: ● Develop and maintain web applications using Ruby on Rails 6.1 ● Design and create advanced React components that form the foundation of our applications. ● Build dynamic front-end features using HTML-based templates (ERB) and StimulusJS controllers ● Ensure quality through system test suites using Capybara, Selenium, and Minitest ● Collaborate with the team in a month-long sprint cadence , managed via Notion ● Manage version control and code reviews on GitHub ● Utilize AWS services including S3, SQS, and CloudWatch ● Participate in architecture decisions, performance optimization, and security best practices ● Work in a Dockerized local development environment ● Troubleshoot, debug, and upgrade existing systems Interested candidates can send your updated resume to atul@mpowerment.in & write "Application for Lead Ruby on Rails Developer " Requirements: ● 3+years of relevant experience in RoR ● Excellent communication skills in English ● Strong knowledge of React (Front End Tech Lead) is mandatory ● Good knowledge of PostgreSQL and web application architecture ● Familiarity with front-end technologies, especially HTML, JavaScript (StimulusJS), and ERB ● Experience with Dockerized development environments ● Familiar with writing and maintaining test suites ● Experience working in Agile teams with tools like Notion or Jira ● Exposure to cloud infrastructure, preferably AWS ● Good communication and remote collaboration skills Technical Environment: ● VPS Servers (Ubuntu 20) with Nginx ● React ● PostgreSQL ● Ruby on Rails 6.1 ● StimulusJS ● Capybara, Selenium, Minitest ● AWS (S3, SQS, CloudWatch) ● GitHub, Notion ● OpenAI integrations (as applicable)

At Adeptiv.AI, we're building the most advanced AI Governance Platform for enterprises. Our flagship Real-Time Evaluation module empowers businesses to test, evaluate, and trust their AI systems. We're now expanding this module to support ML models, explainability frameworks, and diverse AI use cases, and we're looking for a Senior AI Evaluation Engineer subject matter expert to lead this transformation. This role is ideal for someone who lives and breathes AI/ML evaluation, loves digging deep into models, and can bridge the gap between theory and production-grade software. Key Responsibilities: Design and lead the implementation of evaluation frameworks for ML and Gen AI systems. Define and guide the evaluation of different AI/ML metrics, such as Accuracy, Precision, Recall, AUC, BLEU, ROUGE, METEOR, etc. Develop strategies for model robustness, bias detection, and fairness evaluations. Implement tools like SHAP, LIME, Captum, DeepChecks, Foolbox, Evidently AI, Alibi Detect, etc. Define pipelines for automated test case execution, continuous evaluation, and report generation. Guide and mentor full-stack and backend engineers in integrating AI/ML testing logic into production-ready services. Establish standards for test dataset generation, edge-case simulation, and benchmarking. Validate the correctness of evaluations across supported AI use cases. Stay ahead of the curve on emerging research in AI evaluations and bring insights into the product. Must-Have Skills & Experience: 5+ years in AI/ML focused on the evaluation and testing of AI / ML systems Deep expertise in traditional ML evaluation, Computer Vision, and Generative AI metrics Strong familiarity with explainability tools (SHAP, LIME, Integrated Gradients, etc.) Experience evaluating models in one or more domains: NLP, Computer Vision, Tabular Data, Reinforcement Learning Hands-on experience with libraries like scikit-learn, huggingface, transformers, OpenAI, LangChain, TorchMetrics, Evidently, etc. Experience working in collaboration with engineering teams to productize evaluation pipelines Strong Python development and scripting capabilities Solid understanding of AI reliability, robustness, fairness, and auditability Good to Have: Experience with LLM evaluation, hallucination detection, and prompt scoring Prior contributions to AI testing or monitoring tools or open-source projects Understanding of MLOps/LLMOps workflows Familiarity with CI/CD of model evaluations in production Awareness of AI compliance and audit frameworks (like EU AI Act, NIST AI RMF) What You'll Bring A rigorous scientific mindset, but with a builder's attitude A passion to make AI trustworthy for enterprises Strong communication skills to work cross-functionally with product & engineering High ownership to shape a strategic product module from scratch Why Join Us? Be part of a cutting-edge product solving real challenges in AI Governance. Work directly with the founding team and make a massive impact in enterprises. Opportunity to influence the future of AI evaluation and reliability.

Location Bangalore, Karnataka, 560048 Category Engineering Job Type Full time Job Id 1191041 No AI & Analytics Workload Specialist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skilled and innovative Solutions Engineer to join our global AI and Analytics team. This intermediate-level role is ideal for individuals who want to build real-world AI solutions to address customer problems, contribute to enterprise-scale validation projects, and drive field enablement with impactful assets. You will work closely with Solution Product Managers, workload Subject Matter Experts, and field teams to deliver innovative AI/Analytics workload solutions that position HPE as a leader in data-driven transformation. What you’ll do: Design & Validation Apply technical expertise to design and validate AI/Analytics workload solutions. Contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials. Collaborate with stakeholders to define the scope and align solutions with business needs. Leverage internal infrastructure and AI-powered tools to accelerate development and validation. Field Enablement & Asset Creation Create compelling enablement content for the field, partners, and customers. Support solution adoption through TekTalks, webinars, Slack forums, and internal events. Integrate assets with field tools and help measure asset utilization. Career Development Invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP). Contribute to team goals, mentor peers, and participate in a collaborative engineering environment. What you need to bring: 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases. Proven experience developing or deploying AI-powered applications such as: Retrieval-Augmented Generation (RAG) systems Conversational AI/chatbot solutions ML model pipelines for analytics or inference Strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. Experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus. Familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus. Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly. Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field. Preferred Qualifications: Understanding of enterprise IT systems, storage, and hybrid cloud architecture. Prior experience building AI/ML solution reference architectures or benchmarks. Published technical content (e.g., blogs, demos, white papers). Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #hybridcloud Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

As a talented software developer at our company, you will have the opportunity to showcase your passion for coding and product building. Your problem-solving mindset and love for taking on new challenges will make you a valuable addition to our rockstar engineering team. You will be responsible for designing and developing robust, scalable, and secure backend architectures using Django. Your focus will be on backend development to ensure the smooth functioning of web applications and systems. Creating high-quality RESTful APIs to facilitate seamless communication between frontend, backend, and other services will also be a key part of your role. In addition, you will play a crucial role in designing, implementing, and maintaining database schemas to ensure data integrity, performance, and security. You will work on ensuring the scalability and reliability of our backend infrastructure on AWS, aiming for zero downtime of systems. Writing clean, maintainable, and efficient code while following industry standards and best practices will be essential. Collaboration is key in our team, and you will conduct code reviews, provide feedback to team members, and work closely with frontend developers, product managers, and designers to plan and optimize features. You will break down high-level business problems into smaller components and build efficient systems to address them. Staying updated with the latest technologies such as LLM frameworks and implementing them as needed will be part of your continuous learning process. Your skills in Python, Django, SQL/PostgreSQL databases, and AWS services will be put to good use as you optimize systems, identify bottlenecks, and resolve them to enhance efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science or a related field, along with at least 2 years of experience in full-stack web development with a focus on backend development. Proficiency in Python, Django, and experience with Django Rest Framework are required. Strong problem-solving skills, excellent communication, and collaboration abilities are also essential for success in this position.,

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,

Python Developer Job Location : Indore. Overall Experience : 3 Yrs. Job Type : Full-Time. Key Responsibilities Design and develop RESTful APIs using Flask. Develop and maintain web applications using Python and Flask. Integrate OpenAI technologies into existing and new applications. Design, develop, and implement machine learning models and algorithms. Collaborate with data scientists to implement AI models. Write efficient, scalable, and reusable Python code. Optimize and fine-tune machine learning models for performance. Troubleshoot and debug applications. Ensure the scalability and performance of applications. Implement security best practices. Participate in code reviews and ensure adherence to best practices. Create and maintain technical documentation. Stay up-to-date with the latest advancements in AI/ML technologies. Collaborate with cross-functional teams to define and achieve project goals. Preferred Skills 3 years of experience and a degree in Computer Science. Strong expertise in Python, Flask, and REST APIs. Hands-on experience with OpenAI, SQL/NoSQL databases, and Git. Solid knowledge of Machine Learning, CI/CD pipelines (GitHub), and cloud platforms (AWS/Azure/GCP). (ref:hirist.tech)

What we do? At ClearTrail, work is more than just a job. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 21 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the worlds most challenging are we looking for? We are looking for ML Engineer (2-4 years experience) with ML and LLM skill set in Indore, M. Roles And Responsibilities Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems. Communicating results to diverse technical and non-technical audiences. Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models etc. Along with knowledge about Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs. Research and Innovation : Stay up to date with the latest advancements in the fields of AI. Problem-solving and code debugging skills. Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred). Skills Mandatory hands on experience in the following : Libraries : Python, Scikit-Learn, PyTorch, LangChain, Transformers. Techniques : Exploratory Data Analysis, Machine Learning and Neural Networks. Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment. Practical knowledge of LLM and its fine to have experience : Deep Learning. MLOps. SQL. Qualifications Bachelors degree in computer science & engineering. 2-4 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set. Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM applications. (ref:hirist.tech)

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. You offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you provide a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. Indegene values the importance of the early years of your career, recognizing that they lay the foundation for your professional journey. By joining the team, you can expect a differentiated career experience that exposes you to the dynamic intersection of healthcare and technology. You will have the opportunity to be mentored by industry experts and grow alongside the company's high-speed expansion on a global scale. As a Competency Leader, your role involves leading the design, development, and deployment of advanced AI and Generative AI solutions that bring substantial business value to pharma clients. You should possess extensive hands-on experience with AI/ML frameworks, cloud platforms, MLOps, and a deep understanding of GenAI technologies. Key Responsibilities: - Design, develop, and optimize AI/ML models for practical applications ensuring high performance, scalability, and reliability. - Innovate using advanced GenAI technologies to address complex business challenges. - Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. - Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms such as AWS and Azure. - Collaborate with cross-functional stakeholders to align AI solutions with business objectives. - Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. - Develop and train Generative AI models. - Perform data analysis and prepare data for AI model training. - Integrate AI models with Snowflake, AWS, and other systems. Required Knowledge: - 10+ years of experience in AI/ML development and deployment, including leadership roles. - Good knowledge of machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI-based models. - Proficiency in working with GenAI tools and technologies such as LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Experience in building scalable (Gen) AI applications on AWS. - Strong background and understanding of vector databases. - Good knowledge of Python for data science and streamlit for rapid deployment of prototypes. - Experience working in an agile environment. - Experience in setting up and using CI/CD pipelines as well as writing software in a test-driven fashion. - Experience in building (Gen) AI solutions on Snowflake is a plus. - Experience with Agentic AI build. Key Skills: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. EQUAL OPPORTUNITY If you are excited about the prospect of contributing to cutting-edge AI solutions in the healthcare industry and are ready to take on a challenging yet rewarding role, we encourage you to apply.,

Job Title: Generative AI Engineer Location : PAN India Experience : 3–8 years Band : B2/C1 Role Summary We're looking for a hands-on Generative AI Engineer to design and implement LLM-powered agents, RAG pipelines, and intelligent assistants that integrate with enterprise risk and analytics platforms. Responsibilities Design and develop GenAI-driven solutions (e.g., RAG pipelines, document understanding, fraud assistants) Integrate LLMs (OpenAI, Claude, etc.) with enterprise data sources using LangChain or LlamaIndex Develop reusable prompt templates and function-calling workflows Maintain and optimize vector stores (FAISS, Chroma, Pinecone) Collaborate with full-stack and cloud teams to integrate APIs and dashboards Ensure security, traceability, and safe deployment of GenAI components Required Skills Proficient in Python and GenAI libraries (LangChain, OpenAI, Transformers) Experience with vector databases and embedding models Strong understanding of prompt engineering and agent orchestration Knowledge of LLM evaluation, guardrails, and observability Experience with FastAPI or Flask for service deployment Preferred Exposure to LangGraph or AutoGen Familiarity with Model Development Understanding of financial or risk compliance domains

As a Senior Digital Engineer specializing in ACS or AML, you will be a key member of our team, contributing to the success of our organization through your expertise and experience. With a minimum of 3 years of experience in CE Functional or Technical functionalities, you will play a crucial role in leveraging Azure Cognitive Services such as LUIS, SDK app, and ML model prediction accuracy. Your proficiency in Python and C# coding, with knowledge of C++ and/or Java, will be essential in developing and implementing solutions to meet our business needs. Your responsibilities will include utilizing APIs effectively, encompassing calling API's, Rest API communication, endpoint, authentication, debugging, and traces. Experience with Azure and AWS cloud development will be advantageous in this role. Familiarity with OpenAI will be an added benefit as you contribute to the innovative projects within our organization. Based in Hyderabad or Bangalore, with a hybrid model of work, you will have the flexibility to work in rotational shifts. With qualifications such as B.Tech/BE, M.Tech/ME, M.Sc (Computer/IT), MBA, MCA, B.Sc (Computers), you will bring a diverse set of skills and knowledge to the team, enhancing our collaborative and inclusive work environment. "Reboot with Sonata" is a specialized hiring initiative exclusively for women professionals who have taken a career hiatus of 3 months to 4 years. As part of this program, you will receive tailored support to navigate your corporate journey and seamlessly reintegrate into the workplace. We are committed to promoting diversity and inclusivity in our workplace, providing equal opportunities for all individuals to thrive and succeed. Join us in this exciting opportunity to embark on your second career phase and make a meaningful impact within our dynamic team.,

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Associate Manager - AI Engineer Description: We are seeking a Senior AI Engineer to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies. Key Responsibilities Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure). Develop and maintain robust APIs for seamless AI/ML integration into enterprise systems. Collaborate with cross-functional stakeholders to align AI solutions with business objectives. Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. Develop and train Generative AI models. Perform data analysis and prepare data for AI model training. Integrate AI models with Snowflake, AWS, and other systems. Must Have 5 years of experience in AI/ML development and deployment, including leadership roles. Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Strong experience in building scalable (Gen) AI applications on AWS. Strong background and understanding of vector databases. Experience in building (Gen) AI solutions on Snowflake is a plus. Good knowledge in Python for data science, as well as Streamlit for rapid deployment of prototypes. Good knowledge in Git. Experience to work in an agile and international environment. Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. Good documentation and coaching practice. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN

See all the jobs at Srijan Technologies PVT LTD here: Lead/Senior Data Scientist (Agentic AI) Location: Gurgaon/Bangalore Department: Technology Type: Full-time Remote: Partially remote Apply by: July 31, 2025 Senior Developer/Lead - Data Science Material is hiring for Lead Data Science. We are looking for a Senior Developer/Lead - Data Scientist with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit-learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise. Bonus: Familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS Immediate Joiner Required Minimum Experience: 4 years in Senior Developer/Lead - Data Scientist Preferred Location: Gurgaon/Bangalore : Generative AI: GenAI models (e.g., Azure OpenAI GPT), Multi-Agent System Architecture: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems. Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation. Nice to Have: Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL). Expertise in ReactJS for building responsive and interactive user interfaces. What We Offer Professional Development and Mentorship. Hybrid work mode with a remote-friendly workplace. (6 times in a row Great Place To Work Certified). Health and Family Insurance. 40 Leaves per year along with maternity & paternity leaves. Wellness, meditation, and Counseling sessions.

Job Code: BTL-2507106 Job Title: AI/ML Intern Location: Hyderabad Mode: Work from the office Company Overview BeamX TechLabs Pvt Ltd. is a leading technology company specializing in software development and IT solutions. With a focus on innovation and cutting-edge technologies, we strive to provide exceptional solutions to our clients across various industries. Join our dynamic team and contribute to the development of groundbreaking software applications. Position Summary We are seeking a highly motivated and talented AI/ML Intern to join our growing team in Hyderabad. As an intern, you will gain hands-on experience in developing and implementing AI-powered solutions, working alongside experienced engineers and researchers. This is an excellent opportunity to learn and contribute to real-world projects while expanding your knowledge of the latest AI/ML technologies. Key Responsibilities Assist in the development and fine-tuning of Large Language Models (LLMs) using frameworks like LangChain, OpenAI Agents SDK, or similar. Contribute to the implementation of Retrieval Augmented Generation (RAG) architectures for building intelligent applications. Experiment with and evaluate various vector databases such as FAISS, Opensearch, etc., for efficient LLM data management. Develop and test LLM-based prototypes and demonstrate your solutions through code samples and documentation. Collaborate with team members to brainstorm innovative AI solutions and contribute to project discussions. Stay up-to-date with the latest advancements in AI/ML research and best practices. Required Skills and Qualifications Strong knowledge or foundational experience in Python programming Basic hands-on experience with LLMs: Ability to build, fine-tune, or implement LLMs in simple projects or prototypes. Familiarity with agentic AI frameworks: Awareness of frameworks such as LangChain, OpenAI Agents SDK, or similar tools. Understanding of RAG architectures: Basic knowledge of RAG concepts with some experience in simple implementations. Experience with vector databases: Basic familiarity with vector databases like FAISS, Opensearch, or similar, and understanding of their use in AI/ML applications. Preferred Qualifications . Portfolio of LLM-based projects: A GitHub repository or other coding samples showcasing your LLM development experience. Familiarity with cloud computing platforms like AWS, Azure, or GCP. Experience with machine learning algorithms and techniques. Education Requirements Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field Compensation and Benefits Competitive stipend based on experience and performance. Opportunity to learn from experienced AI/ML professionals. Exposure to cutting-edge technologies and real-world projects. Opportunities for Conversion to Full-Time Positions based on performance.

About Catering Rewards Join our mission to revolutionize the North American restaurant industry. Catering Rewards empowers restaurants to grow their catering business (“Food For Work”) through innovative reward systems, bypassing traditional commission-heavy platforms. We’re building a Gen AI-powered marketplace application that leverages advanced machine learning to personalize incentives, recommend reward structures, and drive more catering orders to restaurants in real time. Role Overview We are looking for a talented and motivated Senior Software Development Engineer to join our Development team. Our teams work on cutting-edge cloud technology and are challenged daily to think outside the box and push themselves to achieve breakthroughs in design, programming skills, and most of all, engineering excellence. If you are passionate about writing secure code, advocating high quality, and building / maintaining scalable and resilient cloud services, we are offering you a unique opportunity to build your career with Catering Rewards and gain experience working with high-performance cloud-based systems. Experience, Knowledge, and Skills 4+ years of experience as a backend / full stack developer using NodeJS/Python. Completion of a bachelor’s degree in Computer Science, Engineering, or equivalent. Hands-on experience with LLMs and Gen AI frameworks (e.g. OpenAI, Azure OpenAI, Deepseek) Familiarity with recommendation engines, vector search (e.g. Pinecone, FAISS), and prompt engineering Experience working with AWS services and cloud-based application development. Particularly AWS based services – e.g. ECS, RDS, Lambda etc. Experience in designing and implementing microservices architecture, with knowledge of containerization technologies like Docker Working knowledge of database systems (e.g. MySQL or PostgreSQL). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. You can clearly communicate your needs, goals, and can explain your decisions articulately. Desired Education from one of premier institutions like IITs, NITs or equivalent. Experience with frontend technologies like React.js a plus A TDD mindset with an emphasis on automation and test coverage. Experience with monitoring cloud COGS and understanding how the systems you will be responsible for building and deploying impact COGS Interest or experience in developing payment systems and loyalty programs. An active interest in software engineering and keeping up with the latest trends. Interest in high availability systems and scalable architectures.

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary As an Engineer (L4) – Full Stack Engineer , you will contribute to the design, development, testing and deployment of full-stack features while embracing DevOps ownership. You will collaborate across product, design, and platform teams, apply secure-by-default patterns, and experiment with Generative AI to create guest-centric solutions.Key Responsibilities Contribute to the design, development, testing, and deployment of full-stack features across our product portfolio. Collaborate with cross-functional teams to refine product requirements and translate them into technical solutions. Implement and maintain robust, scalable, and secure back-end services and APIs. Build responsive, user-centric front-end interfaces using modern frameworks (React preferred). Ensure code quality through peer reviews, unit/integration tests, and adherence to best practices. Apply security best practices—identify vulnerabilities, detect malicious behavior, and analyze artifacts to mitigate risk. Partner with platform and security teams to prioritize and reduce risk across the enterprise. Prototype Gen AI integrations (LLMs, prompt engineering, embeddings) to enhance productivity and guest experiences. Required Qualifications 2–4 years of experience in full-stack development with solid understanding of both front-end and back-end technologies. 1+ year supporting critical production systems (on-call, incident response, post-mortems). Proficiency in modern front-end frameworks (React, Vue, or Angular). Expertise in back-end technologies (Kotlin/Micronaut, Java/Spring, Python, or Node.js) and API development (REST, GraphQL). Experience integrating with Kafka, cloud storage services, or data warehouses. Hands-on with SQL & NoSQL databases, cloud platforms (GCP/AWS/Azure), and CI/CD pipelines. Working knowledge of infrastructure and security tooling (shell scripts, Chef/Terraform, container security scanners). Strong problem-solving, communication, and collaboration skills. Exposure to Generative AI frameworks (OpenAI, Hugging Face, LangChain) and basic prompt engineering. Preferred Skills Familiarity with Genesys Cloud CX, GCP, Salesforce Service Cloud, Verizon Voice, or other telephony/IVR/Voice AI platforms. Understanding of security compliance requirements (PCI-DSS, GLBA, SOX) and how to implement controls in code. Experience building AI-powered features into production applications. Know More About Us Here Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

At Yosemite Crew ( https://github.com/YosemiteCrew/Yosemite-Crew ) , we're creating an open, modern, and compassionate Practice Management System (PMS) designed with and for pet businesses, pet owners and developers. We're not just building software, we're building a community-powered platform that brings transparency, usability, and trust back into the tools vets rely on every day. We’re hiring a Frontend Developer to lead the development of mobile apps that integrate deeply with AI systems — from LLMs to on-device inference and intelligent user interactions. You’ll own the mobile layer end-to-end using Expo and Bare Workflow , while also collaborating with the AI/backend team to embed and optimize smart features into the app. Key Responsibilities: Build and maintain high-quality React Native apps (Expo + Bare) for iOS and Android Integrate AI models , APIs, and services into mobile apps (e.g., OpenAI, Hugging Face, custom endpoints) Design intelligent UI/UX flows based on AI-generated content or actions Collaborate with AI engineers to run model inference efficiently (cloud or on-device) Connect mobile apps with backend services via REST , WebSockets , or GraphQL Handle app lifecycle: development, debugging, testing, deployment to App Stores Required Skills & Qualifications: 1–3 years experience with React Native in both Expo and Bare workflows Solid grasp of JavaScript and TypeScript Experience integrating AI APIs (e.g., OpenAI , Replicate , custom LLM endpoints ) Ability to design and render dynamic UI based on AI responses Familiarity with OTA updates (EAS Update, CodePush) and deployment pipelines Comfortable with mobile app store requirements, permissions, push notifications Understanding of mobile-specific challenges around AI latency, streaming, and user experience Nice to Have: Backend development experience ( Node.js , Express , API creation) Experience working with on-device inference (e.g., TensorFlow Lite, Core ML) Familiarity with vector stores, RAG, or LLM orchestration tools (e.g., LangChain) Native module development in Swift , Kotlin , or bridging native SDKs Working knowledge of real-time communication (sockets, Firebase, etc.) Contributions to open source projects and prior startup experience Why join Yosemite Crew ? Help build something vets actually love using with ownership and long-term impact. Work with a small, values-driven team that truly listens. Shape a mission-led, community-first culture from day one. Get access to an expanding network of pet startups, tech leaders, and creators giving back to the industry.