4010 Openai Jobs - Page 25

Why join Stryker? Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Job description We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. As a Lead AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. Essential duties & responsibilities: (detailed description) Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Platform: Support the AI platform implementation, ensuring robustness and reliability. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. Stakeholder Engagement and Communication: Facilitate effective communication between technical teams and business stakeholders, managing interactions and escalations. Professional Development and Innovation: Stay current with AI trends and encourage team innovation by exploring new tools and techniques. Education & special trainings: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Fluent spoken and written English. Any other language is a plus. Azure certifications such as Azure AI Engineer Associate are a plus. Qualifications & experience: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). 4+ years of experience in software engineering. 4+ years in AI or data science roles, with a focus on building AI solutions on Azure preferred. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Knowledge of DevOps practices, CI/CD pipelines Ability to translate complex business requirements into functional specifications for effective project implementation. Experienced in agile environments for timely, quality solution delivery. Physical & mental requirements: Ability to work well with cross-functional teams, multi-task and meet deadlines consistently Good communication (verbal and written) and interpersonal skills, attention to detail and ability to communicate complicated issues effectively. Demonstrated ability to perform consistently under varying business pressure as well as ability to adapt to a quickly changing environment. Effective problem-solving skills, ensuring the ability to address challenges promptly and efficiently. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design and develop scalable systems for processing unstructured data into actionable insights using Python, Flask, and Azure Cognitive Services Integrate Optical Character Recognition (OCR), Speech-to-Text, and NLP models into workflows to handle various file formats such as PDFs, images, audio files, and text documents Implement robust error-handling mechanisms, multithreaded architectures, and RESTful APIs to ensure seamless user experiences. Utilize Azure OpenAI, Azure Speech SDK, and Azure Form Recognizer to create AI-powered solutions tailored to meet complex business requirements Collaborate with cross-functional teams to drive innovation and implement analytics workflows and ML models to enhance business processes and decision-making Ensure the accuracy, efficiency, and scalability of systems focusing on healthcare claims processing, document digitization, and data extraction Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 8+ years of relevant experience in AI/ML engineering and cognitive automation Proven experience as an AI/ML Engineer, Software Engineer, Data Analyst, or a similar role in the tech industry Extensive experience with Azure Cognitive Services and other AI technologies SQL, Python, PySpark, Scala experience Proficient in developing and deploying machine learning models and handling large data sets Proven solid programming skills in Python and familiarity with Flask web framework Proven excellent problem-solving skills and the ability to work in a fast-paced environment Proven solid communication and collaboration skills, capable of working effectively with cross-functional teams. Demonstrated ability to implement robust ETL or ELT workflows for structured and unstructured data ingestion, transformation, and storage Preferred Qualification: Experience in healthcare industries Skills: Python Programming and SQL Data Analytics and Machine Learning Classification and Unsupervised Learning Regression and NLP Cloud and DevOps Foundations Data Visualization and Reporting At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Description The Role: Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline. Experience: 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies: Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

Why join Stryker? Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Job description We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Overview As an AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. Essential duties & responsibilities: Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Platform: Support the AI platform implementation, ensuring robustness and reliability. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. Stakeholder Engagement and Communication: Facilitate effective communication between technical teams and business stakeholders, managing interactions and escalations. Professional Development and Innovation: Stay current with AI trends and encourage team innovation by exploring new tools and techniques. Education & trainings: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Fluent spoken and written English. Any other language is a plus. Azure certifications such as Azure AI Engineer Associate are a plus. Qualifications & experience: Experience in software engineering. Experience with AI/ML or data science roles, with a focus on building AI solutions on Azure preferred. Proficient in Python or C#, with strong Azure cloud experience. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Knowledge of DevOps practices, CI/CD pipelines Ability to translate complex business requirements into functional specifications for effective project implementation. Experienced in agile environments for timely, quality solution delivery. Physical & mental requirements: Ability to work well with cross-functional teams, multi-task and meet deadlines consistently Good communication (verbal and written) and interpersonal skills, attention to detail and ability to communicate complicated issues effectively. Demonstrated ability to perform consistently under varying business pressure as well as ability to adapt to a quickly changing environment. Effective problem-solving skills, ensuring the ability to address challenges promptly and efficiently. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Overview We are looking for a high-impact Product Manager who thrives at the intersection of technology and pharma/life sciences . This role demands a sharp strategic thinker with hands-on technical depth , product ownership mindset , and a solid grasp of pharma domain knowledge — from primary market research (PMR) insights , competitive intelligence (CI) , to brand strategy . If you can translate brand/medical/commercial objectives into robust, scalable product solutions using AWS-native architectures , ML/GenAI models , and modern DevOps practices , you belong here. Key Responsibilities Product Leadership Own the end-to-end product lifecycle from discovery to launch across pharma/life sciences use cases. Translate unmet market and brand needs into differentiated, scalable, and user-centric product solutions. Prioritize features across platform modules by aligning commercial, medical, and data science needs. Partner with commercial, brand, and medical teams to translate PMR and CI into actionable product features. Technical & Platform Strategy Drive architectural discussions and product decisions around AWS cloud infrastructure , including Glue , Athena , Data Lake , S3 , Lambda , and Step Functions . Collaborate with engineering to ensure CI/CD pipelines , Docker , Kubernetes , and ML Ops practices are integrated for faster product iterations. Enable delivery of GenAI capabilities in the platform — from document intelligence, medical NLP, summarization to insight generation. Data & AI Productization Lead data strategy for ingesting, cleaning, and transforming EMR, Claims, HCP/HCO, and RWD data using PySpark , SQL , and data pipelines . Build roadmap around ML/GenAI-driven use cases: e.g., treatment pathway prediction, KOL segmentation, site recommendation, competitive tracking. Collaborate with data scientists to deploy models in production using APIs and cloud-native services. Market & Domain Expertise Leverage deep knowledge of pharma workflows (Medical Affairs, Market Access, Clinical Dev, Commercial Ops). Map out patient journeys, treatment landscapes, and brand objectives into platform features. Convert PMR data and CI signals into competitive positioning and product differentiation. Required Qualifications 6–8 years of experience in product management or technical product ownership. Strong experience in pharma or life sciences industry — ideally in commercial, medical, or clinical tech products. Proven hands-on experience with AWS cloud architecture , especially Glue, Athena, Data Lake, Step Functions. Proficient in Python , SQL , PySpark , and working knowledge of ML modeling & GenAI frameworks (LangChain, OpenAI, HuggingFace, etc.) . Strong grasp of DevOps pipelines (CI/CD, GitHub Actions/GitLab, Terraform, Docker, K8s) . Strong understanding of data engineering concepts — ingestion, normalization, feature engineering, and ML pipeline orchestration. Familiarity with primary market research methodologies , CI tools , and brand strategy in pharma. Preferred Skills Prior experience building SaaS or platform products in regulated industries. Knowledge of data privacy, HIPAA, and compliance frameworks.

Mandatory Skills: 8-10 years of exp. Strong proficiency in Python, SQL and experience with data processing libraries (e.g., Pandas, PySpark). Familiarity with Generative AI frameworks like LangChain, LangGraph, or similar tools. Experience integrating APIs from pre-trained AI models (e.g., OpenAI, Cohere, Hugging Face). Solid understanding of data structures, algorithms, and distributed systems. Experience with vector databases (e.g., Pinecone, Postgres). Familiarity with prompt engineering and chaining AI workflows. Understanding of MLOps practices for deploying and monitoring AI applications. Strong problem-solving skills and ability to work in a collaborative environment. Good to have: Experience with Streamlit to build application front-end. Job Description We are looking for an experienced Python Developer with expertise in Spark, SQL, data processing, and building Generative AI applications. The ideal candidate will focus on leveraging existing AI models and frameworks (e.g., LangChain, LangGraph) to create innovative, data-driven solutions. This role does not involve designing new AI models but rather integrating and utilizing pre-trained models to solve real-world problems. Key Responsibilities: Develop and deploy Generative AI applications using Python and frameworks like LangChain or LangGraph. Work with large-scale data processing frameworks like Apache Spark, SQL to prepare and manage data pipelines. Integrate pre-trained AI models (e.g., OpenAI, Hugging Face, Llama) into scalable applications. Understands ML - NLP concepts and algorithms with an exposure to Scikit-learn Pytorch. Collaborate with data engineers and product teams to design AI-driven solutions. Optimize application performance and ensure scalability in production environments. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

What You’ll Do As an AI Engineer at Wednesday, you’ll design and build production-ready AI systems using state-of-the-art language models, vector databases, and modern AI frameworks. You’ll own the full lifecycle of AI features — from prototyping and prompt engineering to deployment, monitoring, and optimization. You’ll work closely with product and engineering teams to ensure our AI solutions deliver real business value at scale. Your Responsibilities System Architecture & Development Architect and implement AI applications leveraging transformer-based LLMs, embeddings, and vector similarity techniques. Build modular, maintainable codebases using Python and AI frameworks. Retrieval-Augmented Generation & Semantic Search Design and deploy RAG systems with vector databases such as Pinecone, Weaviate, or Chroma to power intelligent document search and knowledge retrieval. LLM Integration & Optimization Integrate with LLM platforms (OpenAI, Anthropic) or self-hosted models (Llama, Mistral), including prompt engineering, fine-tuning, and model evaluation. Experience with AI orchestration tools (LangFlow, Flowise), multimodal models, or AI safety and evaluation frameworks. AI Infrastructure & Observability Develop scalable AI pipelines with proper monitoring, evaluation metrics, and observability to ensure reliability in production environments. End-to-End Integration & Rapid Prototyping Connect AI backend to user-facing applications; prototype new AI features quickly using frontend frameworks (React/Next.js). Cross-Functional Collaboration Partner with product managers, designers, and fellow engineers to translate complex business requirements into robust AI solutions. Requirements Have 3–5 years of experience building production AI/ML systems at a consulting or product-engineering firm. Possess deep understanding of transformer architectures, vector embeddings, and semantic search. Are hands-on with vector databases (Pinecone, Weaviate, Chroma) and RAG pipelines. Have integrated and optimized LLMs via APIs or local deployment. Are proficient in Python AI stacks (LangChain, LlamaIndex, Hugging Face). Have built backend services (FastAPI, Node.js, or Go) to power AI features. Understand AI UX patterns (chat interfaces, streaming responses, loading states, error handling). Can deploy and orchestrate AI systems on AWS, GCP, or Azure with containerization and orchestration tools. Bonus: Advanced React/Next.js skills for prototyping AI-driven UIs. Benefits Creative Freedom: A culture that empowers you to innovate and take bold product decisions for client projects. Comprehensive Healthcare: Extensive health coverage for you and your family. Tailored Growth Plans: Personalized professional development programs to help you achieve your career aspirations

Why Glasier Inc. For Your Dream Job? We're a passionate group of tech enthusiasts & creatives who live and breathe innovation. We're looking for energetic innovators, thinkers, and doers who thrive on learning, adapting quickly, and executing in real-time if you're a creative thinker with design, a marketer with a story to tell, or a passionate professional. Apply Now 04 REACT JS DEVELOPER Openings: 01 Exp.: 3.5 - 4 Years Job Description: Core Responsibilities: Develop intelligent and scalable frontend components using React(Next). Work within AI-augmented development environments (Copilot, Cursor, etc.) to accelerate and improve development workflows. Use prompt-based approaches to code generation, refactoring, and component logic design. Collaborate closely with backend, AI, and design teams to deliver end-to-end intelligent features. Maintain high standards of UI/UX performance, accessibility, and responsiveness . Integrate with AI APIs (OpenAI, LLM-based services) for user-driven dynamic interfaces. Required Skills & Experience: 3.5+ years of frontend development experience in React Next.js experience. Strong understanding of prompt engineering and AI-augmented coding practices . Experience working with AI APIs to embed intelligent features in the UI. Familiarity with component libraries (Material UI, Tailwind, Ant Design, etc.). Experience building enterprise-grade SPAs and dashboards. Strong debugging, state management (Redux, Context, Zustand), and code optimization skills. Preferred: Hands-on experience with AI-based IDEs and tools (Copilot, Codeium, Cursor). Experience integrating with backend APIs built in NestJS. Understanding of server-side rendering (SSR) and static site generation (SSG). Familiarity with cloud deployment workflows and CI/CD tools. PERKS & BENEFITS Working With Glasier Inc. We take care of our team members, so they can deliver their best work. Here are a few of the benefits and perks we offer to our employees: 5 Days Working Per Week Mentorship Mindfulness Flexible Working Hours International Exposures Dedicated Pantry Area Free Snacks & Drinks Open Work Culture Competitive Salary And Benefits Festival, Birthday & Work Anniversary Celebration Performance Appreciation Bonus & Rewards Employee Friendly Leave Policies Join our team now Send us an email hr@glasierinc.com Whats app on +91 95102 61901 Call at +91 95102 61901

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook Inviting applications for the role of Principal Consultant, Tester Credit Lending, AI-ML, & GenAI In this role, you will be responsible for detail-oriented lead Tester role for next-generation Credit Lending powered by AI/ML and Generative AI. This role combines financial domain expertise with technical QA leadership to ensure high-quality delivery of intelligent credit risk systems, loan origination workflows, and AI-enhanced decision engines. Responsibilities Design, develop, and execute manual and automated test cases for Credit Lending with AI/ML and GenAI integrations. Lead QA efforts for platforms and tools related to credit scoring, loan origination, underwriting automation , and risk assessment . Design and drive test strategies for systems integrating AI/ML models for credit risk prediction, fraud detection, and customer profiling. Validate Generative AI-driven outputs such as auto-generated credit summaries, customer communication drafts, and intelligent document processing. Review, define, and execute test plans, test cases, and test data for lending workflows involving AI/ML algorithms and scoring engines. Collaborate with data scientists and credit analysts to understand model behavior , thresholds, feature importance , and ensure explainability. Perform functional, regression, data integrity, and model validation testing . Use tools like Postman, Python, SQL, Selenium, or custom frameworks to automate and streamline QA processes. Ensure compliance with regulatory standards (e.g., FCRA, GDPR, lending regulations) and AI fairness, bias, and transparency . Work with product and business stakeholders to align QA strategy with lending KPIs and credit policy outcomes . Qualifications we seek in you! Minimum Qualifications QA experience, with experience in a lead role . Proven domain knowledge in consumer or commercial lending , credit scoring , or loan lifecycle systems. Strong understanding of AI/ML workflows including model validation, supervised learning, and prediction-based decisioning. Exposure to Generative AI tools/APIs (e.g., OpenAI, Claude, Azure OpenAI) used in financial document automation or decision support. Experience with test automation frameworks (Selenium, TestNG, Python scripting) and API testing tools . Working knowledge of SQL for data validation and JSON/XML for API payload verification. Familiarity with credit industry platforms/tools like FICO, Experian, TransUnion APIs , or loan origination systems (LOS) . Strong communication skills and ability to work with cross-functional teams (Product, Data Science, Risk, Compliance). Data Science: Understand, analyze , and prepare data used in AI development. Preferred Qualifications/ Skills Experience with model governance tools , bias/fairness audits, or AI observability platforms. Certifications in AI/ML , ISTQB , or credit analytics . Understanding of explainable AI (XAI) and credit model interpretability techniques (e.g., SHAP, LIME). Experience with CI/CD pipelines , version control (Git), and Agile methodologies. Testing including API testing, Experience in Coding in Python Exposure to conversation design , dialogue flow , or intent training . Certifications in AI/ML or GenAI , cloud technologies. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 25, 2025, 8:45:43 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

We are seeking a Fractional AI Data Scientist with deep healthcare analytics experience to support the design of agentic AI workflows , build LLM-powered tools , and structure data pipelines from EHRs, payer systems, and clinical sources. Your work will power intelligent automations for Eligibility Verification , Pre-Authorization , Risk Stratification , and more. You’ll work closely with solution architects, automation engineers, and clinical SMEs to ensure healthcare data is structured, insightful, and responsibly applied in AI contexts. 📌 *Key Responsibilities* Build and fine-tune AI/ML/NLP models tailored to healthcare datasets (structured & unstructured). Design intelligent prompts and evaluation pipelines using LLMs (OpenAI, Azure OpenAI). Work with healthcare data from Epic, Cerner, Availity, and claims sources to build actionable insights. Partner with Azure engineers or Workato specialists to build data-driven agentic workflows. Cleanse and transform healthcare data (FHIR, HL7, CSV, SQL) for modeling and automation triggers. Ensure all solutions comply with HIPAA and ethical AI best practices. Visualize outcomes for business and clinical teams, and document models for reuse. 🧠 *Required Skills & Experience* 5+ years in data science with at least 2+ in healthcare-specific roles. Experience with clinical data (EHR, EMR, payer claims) and healthcare ontologies (ICD-10, CPT, FHIR). Hands-on with LLM tools (OpenAI, LangChain, RAG frameworks) for classification, summarization, or chatbot use cases. Strong proficiency in Python, SQL, Pandas, and ML/NLP frameworks. Familiarity with PHI/PII handling and compliance frameworks like HIPAA. ⭐ *Preferred Qualifications* Azure AI stack (OpenAI, Data Factory, Synapse) Experience in conversational AI, intake automation, or clinical note summarization Worked in or with a digital health, healthtech, or AI startup environment Understanding of automation platforms (Workato, Power Automate) 🛠️ *Tech Stack* Languages: Python, SQL, PySpark AI/ML: Scikit-learn, OpenAI, Hugging Face, LangChain, Transformers Data: Azure Data Factory, Snowflake, BigQuery, Postgres Integration: FHIR APIs, REST APIs, Postman Visualization: Power BI, Streamlit, Tableau Compliance: HIPAA, De-ID, RBAC

We’re Hiring – Mid-Level Associate – AI Engineer 📍 Location: Bristletech Pvt Ltd, Hi-Tech City/Kondapur, Hyderabad 🕒 Experience: Minimum 2 Years 💰 CTC:* ₹5 LPA 📅 Joining: Immediate preferred --- 🔧 Role Overview Bristletech is looking for a dedicated and skilled *AI Engineer* with at least 2 years of hands-on experience to join our fast-growing team. You will work on developing and deploying intelligent systems and AI agents that support our digital and automation services. ✅ Key Responsibilities * Design and develop AI-powered solutions and agents using LLMs and modern frameworks. * Integrate models into applications using APIs and backend tools (Flask/FastAPI). * Work with teams to build end-to-end AI workflows and automation tools. * Maintain and optimize model performance and system efficiency. * Contribute to innovative internal projects in AI image, video, and text generation. 🧠 Required Skills * Proficiency in *Python* (with Flask/FastAPI). * Knowledge of *machine learning* and *deep learning* (TensorFlow, PyTorch, or Scikit-learn). * Hands-on experience with *LLMs, **Langchain, **Vector Databases* (FAISS, Pinecone), and *OpenAI APIs*. * Experience with *prompt engineering* and developing *chatbots* or *AI agents*. * Familiar with *Docker*, Git, and API integration. 🛠 Good-to-Have Skills * Understanding of *MERN Stack* for front-end integration. * Experience using *n8n*, Zapier, or automation pipelines. * Basic cloud experience (AWS/GCP/Azure). * Exposure to *RAG (Retrieval-Augmented Generation)* systems. 🎓 Qualifications * Bachelor’s Degree in Computer Science, AI/ML, Data Science, or a related field. * 2+ years of experience in applied AI engineering. 🏢 Work Mode:On-site (Hi-Tech City / Kondapur office) 🗓 Availability: Immediate Joiners Preferred 📨 Apply Now: Send your resume to hr@bristletech.com

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva is seeking a hands on, experienced, and visionary Engineering Manager to lead our AI Agents team within the Data & Intelligence Platform group. You will be responsible for leading a team that develops intelligent, multimodal AI agents (voice and chatbots) as part of Nextiva’s next-generation customer experience platform. You will apply expertise in machine learning and software engineering to build AI-driven features that transform how businesses engage with customers. This position offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch to deliver exceptional customer experiences. Success in this role will be measured by your ability to deliver AI features that measurably improve customer experiences (e.g., higher self-service resolution rates, faster response times, improved user satisfaction) while maintaining high software quality and ethical AI standards. You will help Nextiva achieve a balanced integration of AI and human interaction, directly contributing to our CX-first vision. Key Responsibilities Team Leadership & Development: Lead, mentor, and grow a team of AI Software Engineers. Foster a culture of innovation, collaboration, and continuous learning. Provide technical guidance and career development support. Technical Oversight: Oversee the design, development, and deployment of AI agents for Nextiva’s products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Ensure delivery of high-quality, scalable, and reliable features. Guide the integration of NLP, speech recognition, and large language models into production systems. AI Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale. Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems. Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times. Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations. Cross-Functional Collaboration: Partner and collaborate across the product organization to define the roadmap for AI agent capabilities. Translate business goals into technical strategies and execution plans. Innovation & Thought Leadership: Stay current with advancements in AI, machine learning, and multimodal interaction systems. Drive innovation by evaluating and adopting emerging technologies. Qualifications Education & Experience: Bachelor’s degree in computer science, Software Engineering, or a related field (required). A Master’s degree in AI, Machine Learning, or a related discipline is strongly preferred. Equivalent practical experience in AI/ML development will also be considered. Experience: 8+ years of software development experience, including 3+ years in a technical leadership or management role. Proven track record in AI/ML product development. Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment. AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning. Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems. Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch) and/or a general-purpose language like Java or C# for scalable systems. Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi, AWS/GCP/Azure AI services) is expected. Multimodal Interaction Knowledge: Experience with speech and language technologies – for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces. Cloud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure). Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services. Leadership Skills: Demonstrated ability to lead high-performing engineering teams. Strong project management, communication, and stakeholder engagement skills. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog.

Role Overview: We are seeking an experienced n8n Developer to join our team. In this role, you will be responsible for building and maintaining automation workflows for both internal and client-facing processes. You will work on a range of tasks including data pipelines, enrichment flows, AI agent routing, lead scoring, and full-funnel campaign orchestration using tools such as n8n, APIs, Clay, Make, Supabase, and Airtable. Key Responsibilities: Build and manage advanced n8n workflows for: Webhooks, scrapers, and data triggers CRM and tool integrations (HubSpot, Airtable, Supabase, Clay, Smartlead, Instantly, etc.) AI agent routing, lead scoring, and GTM signal capture Error handling, retry logic, and webhook resilience Create reusable automation templates and documentation Collaborate with Go-to-Market (GTM) and AI Engineering teams to deploy automations aligned with business goals Maintain automation health, including alerting, logging, and load optimization Debug, troubleshoot, and optimize existing workflows Stay up-to-date with new n8n nodes, features, and integrations Qualifications: 1–3+ years of experience with n8n or similar low-code platforms (e.g., Make, Zapier) Solid understanding of APIs, webhooks, JSON, and HTTP methods Experience integrating SaaS tools and CRMs Familiarity with regex, data transformations, pagination, and rate limits Knowledge of GTM workflows, RevOps, or sales automation is a plus. Bonus: Experience with tools such as Clay, Supabase, Smartlead, HubSpot, Webhook.site, or Pipedream. Our Tech Stack (Not required to know all): Automation: n8n, Make, Pipedream AI: OpenAI, Relevance AI, GPT-4, Claude Data & Enrichment: Clay, Supabase, Airtable, Clearbit, Dropcontact Outreach & CRM: HubSpot, Smartlead, Instantly, Apollo Infrastructure: Cloudflare, Vercel, Webflow What You’ll Gain: Exposure to cutting-edge AI-driven GTM systems Experience working with fast-growing startups and B2B tech companies Insights into how automation drives real revenue outcomes A high-performance culture that values streamlined systems How to Apply: If you’re passionate about automating tasks, building scalable systems, and collaborating with forward-thinking teams, we’d love to hear from you. Please send your resume, GitHub (if available), and any example workflows or automations to hr@devcommx.com with the subject line: "n8n Developer – [Your Name]".

About Collaboard Collaboard (Influenceable Tech Pvt. Ltd.) is a young, design-led innovation studio powering high-growth marketing products and platforms. We merge storytelling, technology, and AI to shape how brands interact with the digital world. We work across web, apps, influencer ecosystems, AI tooling, and scalable user-centric experiences. About the Internship We are seeking ambitious developers who are passionate about full-stack innovation and excited to build at the intersection of *MERN development and AI integrations*. This internship provides hands-on experience across both web and mobile environments and offers the opportunity to contribute to real-world product pipelines used across marketing, automation, and next-gen digital experiences. Key Responsibilities - Develop and maintain responsive web applications using the MERN stack - Contribute to mobile-first features using React Native or Flutter - Integrate AI/ML models and APIs (e.g., OpenAI, Hugging Face, TensorFlow\.js) into real-world platforms - Build and scale API-driven services and backend architecture using Node.js and Express - Work with Firebase, Vercel, Netlify, or AWS for deployment and CI/CD pipelines - Ensure clean code practices, cross-platform compatibility, and modular design - Participate in regular code reviews, debugging sessions, and performance optimization cycles - Collaborate with a fast-moving product and design team to roll out iterative features Preferred Skill Set - Proficiency in JavaScript and familiarity with TypeScript - Solid understanding of React.js, Node.js, Express.js, MongoDB - Experience with AI tools, prompt engineering, or chatbot development - Exposure to backend-as-a-service tools like Firebase/Supabase - Comfort with Git workflows, REST APIs, and async programming - Strong communication and debugging skills Perks & Learning Opportunities - Certificate & Letter of Recommendation - Flexible work hours & informal work culture - Real-world AI integration projects - Exposure to startup product development and deployment cycles - Opportunity to be considered for a long-term role based on performance Who Can Apply You are eligible if you: - Are available full-time in-office (hybrid flexibility available) - Can join between 14th July and 18th August 2025 - Can commit to the full 6-month internship duration - Possess a strong foundation in MERN stack development - Are genuinely excited by the intersection of tech + AI Job Type: Internship Contract length: 6 months Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Flexible schedule Work from home Schedule: Day shift Weekend availability Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Attach Portfolio Work Location: In person

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture. Want to join the leader in AI-powered data security? About The Team Join a cutting-edge team at the intersection of AI, automation, and global user experience. We work closely with engineering, AI/ML, DevOps, and product teams to ensure seamless, multilingual product quality. We're building intelligent automation frameworks that scale across languages and platforms—delivering globally ready products with precision, speed, and cultural relevance. If you're passionate about AI-driven testing, cloud technologies, and automation at scale, we’d love to have you on board. About The Role As a Software Quality Engineer, you’ll drive automation and validation for multilingual, cloud-native storage and backup products. This hybrid role blends QA expertise with domain knowledge in Storage, Backup, Virtualization, and localization. You’ll build scalable automation (Python, Robot Framework), simulate real-world language environments, and validate AI/ML-powered content — ensuring fast, accurate, and high-quality global releases. Ideal for those who thrive on technical depth, cross-functional teamwork, and innovation in AI-driven localization testing. How You’ll Spend Your Time Here Design, develop, and maintain automated localization test frameworks for multilingual UI and content validation using Python, Robot Framework, or similar tools. Manage and generate test datasets using your understanding of NAS, SAN, Object Storage, and backup/restore configurations. Integrate AI/ML models for advanced analysis of localized content, including text, voice, and image-based quality validation. Build and execute test strategies across Storage, Backup, and Virtualization product lines that have a global reach. Automate localization quality checks to validate UI/UX consistency, layout integrity, cultural appropriateness, and linguistic accuracy. Simulate localized user environments using virtualization tools such as VMware, KVM, and Hyper-V. Define and implement end-to-end test methodologies and test plans that reflect both user expectations and technical requirements. Perform root cause analysis, log defects using tools like JIRA, and ensure timely resolution with relevant teams. Test REST APIs, microservices, and containerized applications using tools like Postman, REST Assured, etc. We’d Love to Talk to You If You Have Many of the Following: B.Tech/M.Tech in Computer Science or related field with 2-8 years of experience in QA Automation and Localization Testing. Proven experience testing system-level products involving storage, networking, or virtualization. A strong commitment to product quality and detail orientation. Expertise in Python programming and experience with tools like Robot Framework, Selenium, or Appium. Applied experience with AI/ML tools/libraries such as spaCy, Transformers, TensorFlow, OpenAI, or Google Translate APIs. Strong understanding of Storage, Backup, and Virtualization technologies. Experience working on Cloud platforms (AWS, Azure, GCP) including CI/CD integrations. Familiarity with i18n and l10n practices, and experience in localization tooling and workflows (e.g., Crowdin, Smartling, SDL Trados). Familiarity with Hypervisors (e.g., ESXi, Hyper-V, KVM). Knowledge of containerization tools like Docker and orchestration via Kubernetes. Comfortable working in Linux environments, with hands-on shell scripting skills. Strong test planning, execution, and problem-solving skills. Demonstrated ability to work independently, manage priorities, and adapt to fast-paced environments. Fluency in English; knowledge of additional languages like Japanese, French, or Chinese is a plus. Experience using or validating LLM-based translation or testing tools like XTM is highly desirable. Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making. Data Privacy Notice For Job Candidates For information on personal data processing, please see our Privacy Policy . Equal Employment Opportunity Employer (EEOE) Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance. In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

About Company : Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. · Job Title: Python Developer · Location: Bangalore · Experience: 5+ yrs · Job Type : Contract to hire. · Notice Period:- Immediate joiners. Mandatory Skills: POSITION OVERVIEW : Senior Software Developer � Python POSITION GENERAL DUTIES AND TASKS : 1. Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. 2. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI. 3. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments. 4. Contribute to software architecture and design discussions to ensure scalable and e?icient solutions. 5. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments. 6. Design for observability, incorporating structured logging, performance monitoring, and alerting mechanisms. 7. Optimize code and system performance, ensuring reliability and robustness at scale. 8. Participate in code reviews, promote clean code practices, and mentor junior developers when needed. Required Qualifications: ? Bachelor�s or Master�s degree in Computer Science, IT, or a related field. ? 5+ years of hands-on experience in software development, with a focus on Python. ? Deep understanding of OOP concepts, software architecture, and design patterns. ? Experience with backend web frameworks, preferably FastAPI. ? Familiarity with integrating ML/DL models into software solutions. ? Practical experience with CI/CD, containerization (Docker), and version control systems (Git). ? Exposure to MLOps practices and tools for model deployment and monitoring. ? Strong collaboration and communication skills in cross-functional engineering teams. ? Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio, OpenAI Service).

AI Manager As an AI Manager at Stryker, you will drive innovation by contributing to the full Software Development Lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI initiatives while providing essential technical leadership. Leveraging Microsoft-based technologies including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service you will develop scalable, stable, and secure AI solutions that align with business needs and operational efficiency objectives. Your combined expertise in AI and leadership will guide and inspire cross-functional teams toward successful AI deployments. What you will do: Team Leadership & Citizen Development: Lead and mentor the cross-functional AI team while defining and executing a citizen development strategy to empower business users. Requirement Analysis: Gather and translate AI requirements to ensure alignment with business objectives. Solution Development & Implementation: Oversee the end-to-end delivery of AI solutions, from data integration to deployment. Platform Support: Support AI platforms for performance, reliability, and seamless integration. Security & Compliance: Enforce data privacy, security best practices, and governance throughout the AI lifecycle. Architecture Design: Collaborate on creating scalable, secure AI architectures that balance performance and cost-effectiveness. Quality Assurance & Testing: Develop and execute robust testing strategies to ensure solution quality and swiftly address defects. Integration & Connectivity: Ensure seamless system interoperability and implement effective CI/CD practices. Monitoring & Maintenance: Establish monitoring systems to track performance and proactively optimize AI solutions. Documentation & Stakeholder Communication: Maintain clear technical documentation and facilitate effective communication between technical teams and business stakeholders. What you need: Required Qualifications: Minimum 12 years of experience in leading teams designing, implementing, maintaining, and enhancing AI or software solutions with minimum 4 years of people management experience. Proficiency in Python or C#, with solid experience in Azure cloud services (Copilot Studio, Azure AI Services, Azure Machine Learning). Familiarity with DevOps practices and CI/CD pipelines (Azure DevOps or equivalent). Demonstrated ability in agile environments to translate business requirements into functional specifications, leading to efficient and effective implementation of automation projects throughout the software development life cycle. Preferred Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master’s degree in Science preferred). Azure certifications (e.g., Azure AI Engineer Associate) are highly advantageous. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

As a Lead AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. Essential duties & responsibilities: (detailed description) Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Platform: Support the AI platform implementation, ensuring robustness and reliability. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. Stakeholder Engagement and Communication: Facilitate effective communication between technical teams and business stakeholders, managing interactions and escalations. Professional Development and Innovation: Stay current with AI trends and encourage team innovation by exploring new tools and techniques. Education & special trainings: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Fluent spoken and written English. Any other language is a plus. Azure certifications such as Azure AI Engineer Associate are a plus. Qualifications & experience: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). 4+ years of experience in software engineering. 4+ years in AI or data science roles, with a focus on building AI solutions on Azure preferred. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Knowledge of DevOps practices, CI/CD pipelines Ability to translate complex business requirements into functional specifications for effective project implementation. Experienced in agile environments for timely, quality solution delivery. Physical & mental requirements: Ability to work well with cross-functional teams, multi-task and meet deadlines consistently Good communication (verbal and written) and interpersonal skills, attention to detail and ability to communicate complicated issues effectively. Demonstrated ability to perform consistently under varying business pressure as well as ability to adapt to a quickly changing environment. Effective problem-solving skills, ensuring the ability to address challenges promptly and efficiently. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

About The Role We are seeking a skilled and passionate Data Engineer to join our team and drive the development of scalable data pipelines for Generative AI (GenAI) and Large Language Model (LLM)-powered applications. This role demands hands-on expertise in Spark, GCP, and data integration with modern AI APIs. What You'll Do Design and develop high-throughput, scalable data pipelines for GenAI and LLM-based solutions. Build robust ETL/ELT processes using Spark (PySpark/Scala) on Google Cloud Platform (GCP). Integrate enterprise and unstructured data with LLM APIs such as OpenAI, Gemini, and Hugging Face. Process and enrich large volumes of unstructured data, including text and document embeddings. Manage real-time and batch workflows using Airflow, Dataflow, and BigQuery. Implement and maintain best practices for data quality, observability, lineage, and API-first designs. What Sets You Apart 3+ years of experience building scalable Spark-based pipelines (PySpark or Scala). Strong hands-on experience with GCP services: BigQuery, Dataproc, Pub/Sub, Cloud Functions. Familiarity with LLM APIs, vector databases (e.g., Pinecone, FAISS), and GenAI use cases. Expertise in text processing, unstructured data handling, and performance optimization. Agile mindset and the ability to thrive in a fast-paced startup or dynamic environment. Nice To Have Experience working with embeddings and semantic search. Exposure to MLOps or data observability tools. Background in deploying production-grade AI/ML workflows (ref:hirist.tech)

Senior AI Engineer: As an AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. What you will do: Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. What you need: Required Qualifications: 3-6 years in AI or data science roles, with a focus on building AI solutions on Azure. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Preferred Qualifications: Knowledge of DevOps practices, CI/CD pipelines Azure certifications such as Azure AI Engineer Associate are a plus. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Overview As an AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. Essential duties & responsibilities: Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Platform: Support the AI platform implementation, ensuring robustness and reliability. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. Stakeholder Engagement and Communication: Facilitate effective communication between technical teams and business stakeholders, managing interactions and escalations. Professional Development and Innovation: Stay current with AI trends and encourage team innovation by exploring new tools and techniques. Education & trainings: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Fluent spoken and written English. Any other language is a plus. Azure certifications such as Azure AI Engineer Associate are a plus. Qualifications & experience: Experience in software engineering. Experience with AI/ML or data science roles, with a focus on building AI solutions on Azure preferred. Proficient in Python or C#, with strong Azure cloud experience. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Knowledge of DevOps practices, CI/CD pipelines Ability to translate complex business requirements into functional specifications for effective project implementation. Experienced in agile environments for timely, quality solution delivery. Physical & mental requirements: Ability to work well with cross-functional teams, multi-task and meet deadlines consistently Good communication (verbal and written) and interpersonal skills, attention to detail and ability to communicate complicated issues effectively. Demonstrated ability to perform consistently under varying business pressure as well as ability to adapt to a quickly changing environment. Effective problem-solving skills, ensuring the ability to address challenges promptly and efficiently. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion. Agentic AI Solution Design: Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients. Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa's strategic objectives and client needs. Leadership & Cross-Functional Collaboration: Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures. Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps. Technology Evaluation & Governance: Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities. Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles. Performance Optimization & Continuous Improvement: Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources. Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact. Technical Leadership & Talent Development: Provide technical leadership, mentorship, and code review for junior and peer team members. Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence. Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery. Required Qualifications: - 15+ years of Total experience. 8+ years in machine learning, and data science and more recent experience (4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy. - Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. - Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/technologies. Tools & Technology: - LLMs and implementing RAG or different prompt strategies. - Azure OpenAI, Off the shelf Platform native AI tools and Models. - Knowledge of ML pipeline orchestration tools. - Experienced in python; ideally working knowledge of various supporting packages. - Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. - Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc. Education and Others Skills: - Master's or Ph.D. in Computer Science, Data Science, or related field. - Extensive experience with modern AI frameworks, cloud platforms, and big data technologies. - Strong background in designing and implementing AI solutions for enterprise-level applications. - Proven ability to lead and mentor technical teams. - Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences. - Deep understanding of AI ethics and responsible AI practices. Working at Dailoqa will provide you with an opportunity to be part of a dynamic and innovative team that values collaboration, innovation, and continuous learning. If you are proactive, adaptable, and passionate about leveraging AI to solve real-world challenges in the financial services industry, then this role might be the perfect fit for you.,

You are an experienced AI Engineer who will be a valuable addition to our team in developing and integrating cutting-edge AI tools into our SaaS products. Your expertise with platforms like OpenAI, LangChain, or Hugging Face, coupled with a strong background in delivering scalable, production-ready AI solutions, will be key in this role. As the AI Engineer, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Your responsibilities will include designing and developing AI-driven features leveraging large language models (LLMs) and embedding techniques. You will integrate solutions using tools such as OpenAI, vector databases (e.g., Pinecone, FAISS), and generative AI frameworks like LangChain or Hugging Face. Additionally, you will build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows, collaborating closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuous optimization of AI models and pipelines for performance, scalability, and accuracy will also be part of your role. To be successful in this position, you should have at least 3-5 years of experience in AI/ML-focused software development, proficiency in Python, and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI. Strong problem-solving abilities, a solid understanding of system architecture and design, as well as excellent communication and collaboration skills are essential requirements. This is a full-time position with benefits including food provision, health insurance, and Provident Fund. The work schedule is day shift, Monday to Friday, with the work location being in person.,

Freshers or final-year students/ Or experienced with basic experience in app development (Flutter preferred) Someone curious, creative, and eager to learn by building a real app You've built at least one basic mobile app or cloned a UI (projects on GitHub or college apps are welcome) Skillset: Flutter & Dart REST APIs (NewsAPI, OpenAI API) Firebase (for notifications & basic storage) GitHub (version control) Basic UI/UX design in Figma (optional)

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are seeking passionate and forward-thinking engineers to join us in revolutionizing customer experiences alongside our client, a global leader in cloud contact center software. Together, we bring the power of cloud innovation to enterprises worldwide—enabling seamless, personalized, and joyful customer interactions. You will be part of our Product Engineering Team, which leads the development of AI-driven solutions tailored for modern contact centers. Our flagship product, Studio, is built using PHP/Laravel, Python, and Vue.js, and is deployed across both private and public cloud infrastructures.In this role, you'll work with the latest cloud AI technologies including Azure OpenAI, Google AI APIs, IBM Watson, and Amazon Lex, helping shape the future of intelligent customer engagement. Responsibilities: Design, develop, and maintain scalable backend and front-end solutions for the Studio platform. Enhance the drag-and-drop flow builder to integrate voice, SMS, and chatbot channels. Collaborate with product managers, designers, and engineers to deliver new features. Ensure performance, security, and reliability through code reviews and best practices. Write tests and documentation to support high-quality releases. Explore and integrate cutting-edge AI technologies (Azure OpenAI, Google AI, IBM Watson, Amazon Lex). Participate in agile processes and continuous improvements (CI/CD, automation). Qualifications 4+ years of professional experience in software development with a strong full-stack background. Proficiency in a variety of programming languages, including but not limited to PHP, Javascript, Python or others as required. Expertise in server-side technologies, databases (SQL and NoSQL), and back-end frameworks like PHP/Laravel framework. Strong experience with web development technologies such as HTML, CSS, JavaScript, and modern front-end frameworks like Vue.js or React. Awareness of web security best practices and the ability to implement security measures to protect applications and data. A portfolio of past projects showcasing design and full-stack development skills. Ability to work independently and as part of a collaborative team. Strong commitment to delivering high-quality code and solutions on time and within scope. Bachelor’s degree (or equivalent) in relevant discipline. Nice to have: Experience with Java/SpringBoot. Experience with multi-tenanted systems. Expertise with Sharding in Mysql, Redis and Mongodb is highly advantageous. Experience with Contact Centre, IVR, Virtual Agents, VoIP and telecommunications service providers is advantageous. Experience with Google Cloud Platform, Kubernetes, and CI/CD. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.