Job Title: Founding AI Solutions Architect About the Role: We are looking for a visionary Founding AI Solutions Architect to define, design, and implement advanced AI solutions across our entire product ecosystem. You will extend beyond LLM-focused solutions, overseeing comprehensive AI strategies, model selection, and end-to-end system architecture. Responsibilities: Identify and articulate strategic AI opportunities across diverse business use-cases. Evaluate, recommend, and architect holistic AI solutions, incorporating large language models (LLMs), computer vision, predictive analytics, and other advanced techniques. Develop technical blueprints, architecture diagrams, and proof-of-concept prototypes to validate solutions. Select optimal AI models, platforms, and infrastructure aligned with business objectives and scalability. Collaborate with engineering teams to guide implementation, integration, and optimization of AI solutions. Continuously research emerging AI technologies and recommend strategic adaptations. Qualifications: Extensive experience designing, architecting, and deploying scalable AI-driven systems. Deep expertise across multiple AI domains including NLP, computer vision, predictive modeling, and generative AI. Proficiency in cloud infrastructure (AWS, GCP, Azure) and AI services. Strong programming skills (Python, Java, or equivalent) and familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs. Demonstrated capability in translating complex business problems into robust technical architectures. Startup experience or entrepreneurial background strongly preferred. What We Offer: High-impact foundational role with significant autonomy and influence. Opportunity to architect and scale groundbreaking AI solutions. Competitive compensation package including substantial equity. Supportive, innovative, and agile team culture. Show more Show less

Job Title: Automation Engineer – Go High Level + n8n + AI Integration Job Type: Part-time Work-mode: Remote Job Description: We are looking for an experienced Automation Engineer to build and optimize AI-driven lead engagement workflows. The ideal candidate will integrate Go High Level (GHL), n8n, and OpenAI (ChatGPT) to enable smart SMS conversations, lead qualification, opt-out handling, error alerts, and multi-client attribution. Key Responsibilities: Develop n8n workflows to power AI-based two-way SMS chats using OpenAI and GHL. Implement opt-out detection, tagging, and compliance logic in GHL. Build intelligent lead qualification and appointment booking logic via SMS. Set up client-specific tracking for workflow executions and errors. Configure real-time error alerts (Slack/WhatsApp) and logging systems. Enhance calendar workflows to include SMS reminders and updates. Required Skills: Strong hands-on experience with n8n workflow automation Familiarity with Go High Level (GHL) APIs and a ob Title: Automation Engineer – Go High Level + n8n + AI Integration Job Type: Part-time Work-mode: Remote Job Description: We are looking for an experienced Automation Engineer to build and optimize AI-driven lead engagement workflows. The ideal candidate will integrate Go High Level (GHL), n8n, and OpenAI (ChatGPT) to enable smart SMS conversations, lead qualification, opt-out handling, error alerts, and multi-client attribution. Key Responsibilities: Develop n8n workflows to power AI-based two-way SMS chats using OpenAI and GHL. Implement opt-out detection, tagging, and compliance logic in GHL. Build intelligent lead qualification and appointment booking logic via SMS. Set up client-specific tracking for workflow executions and errors. Configure real-time error alerts (Slack/WhatsApp) and logging systems. Enhance calendar workflows to include SMS reminders and updates. Required Skills: Strong hands-on experience with n8n workflow automation Familiarity with Go High Level (GHL) APIs and automation features Experience integrating OpenAI / ChatGPT in custom flows Knowledge of Twilio , API/webhooks , and multi-tenant workflow structures Bonus: Slack/WhatsApp integration, error monitoring, QuickBooks knowledge Deliverables: Functional automation system with documented workflows, API integrations, and modular design ready for scaling.utomation features Experience integrating OpenAI / ChatGPT in custom flows Knowledge of Twilio , API/webhooks , and multi-tenant workflow structures Bonus: Slack/WhatsApp integration, error monitoring, QuickBooks knowledge Deliverables: Functional automation system with documented workflows, API integrations, and modular design ready for scaling. Show more Show less

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About Team: Digital Engineering is Thermo Fisher’s “ Software Engineering ” center of excellence. We build cloud computing services, products and Platforms that the scientific community demands. Using the emerging technologies with the potential to significantly change lab workflows and facilitate access to powerful data analysis techniques. Our division serves as an extension of Thermo Fisher’s Software R&D teams while enhancing our responsiveness and attention in enabling our customers to make the world healthier, cleaner and safer. Thermo Fisher was built to serve society and that sense of purpose will continue to enhance innovation and scientific advancement. We are committed to diversity in our workforce and is proud to be an equal opportunity employer We apply industry standard methodologies to the design, development, and deployment of world- class software products built to demonstrate the power and scalability of the cloud. Roles & Responsibilities: Purpose: The Software Staff Engineer provides software and systems architectural and design leadership to multiple Software Development Scrum Teams delivering a Gen AI Solution. As a Lead Developer , this individual will actively contribute to the architecture , design , and development of new features, integrating Generative AI systems to enhance functionality. The role involves working with AI frameworks and models, ensuring seamless integration with existing product offerings. In addition to that, the role also demands to lead, empower, mentor, and provide ample guidance to the other team members with respect to technical challenges. Responsibilities: Provide software and systems architectural and design leadership to team of engineers. Design and implement cloud service and software architecture for new products, and extensions to existing products. Be the team’s “go-to” person for architectural, design and implementation related questions and provide guidance. Active contribution in solution analysis of requirements Able to understand, articulate and challenge the requirements Provides guidance regarding design activity to other programmers on technical aspects relating to the project. Proactively looks for ways and patterns to continuously automate feature testing with measurable and tangible goals Is authentic, transparent and leads by example, holding self and others accountable. Inspires, motivates and collaborates with others Anticipates needs and problems while creating solutions. Is willing to ask difficult questions and do things differently. Greets challenge and change as opportunity A highly motivated fast learner who can self-start and "determine what needs figuring out” Actively participates in development community of practices in sharing and learning standard processes, leads initiatives within the community and involve in other organization initiatives Excellent verbal and written communication skills. Ability to effectively document artifacts and processes then explain them to others Candidate Requirement: Education : Bachelors in Engineering or Masters in Computer Science with 10+ years of extensive experience. Mandatory Skills, Knowledge, and Experience: Python Development Experience: Minimum 6 years of proven experience in Python development, with a strong emphasis on backend development, including creating RESTful APIs, working with libraries like FastAPI for high-performance web services. Generative AI (Gen AI) & OpenAI Integration: Hands-on experience with Generative AI frameworks and APIs, including OpenAI models for generating human-like responses, completing tasks, and automating processes. Knowledge of how to effectively integrate these models into applications. API Development & Integration: Extensive experience in building and maintaining REST APIs using FastAPI , ensuring efficient communication between different services and applications. Familiarity with authentication , authorization , and API rate-limiting . Data Engineering & Processing: Strong skills in data engineering , including data extraction, transformation, and loading (ETL) processes. Expertise in Pandas for data manipulation, analysis, and handling large datasets. LLM (Large Language Model) Prompt Engineering: Experience in prompt engineering for LLMs . Ability to design and optimize prompts for specific use cases to extract relevant, high-quality outputs. Python Data Science Libraries: Strong proficiency in Pandas , NumPy , and other data analysis libraries to process and manipulate large volumes of data. Experience in generating data insights and performing statistical analyses. Version Control & CI/CD: Proficient in using Git for version control and familiar with CI/CD pipelines for automated testing and deployment processes. Scrum and Agile Methodologies: 3+ years of experience with Scrum or Agile-based software development methodologies, with a focus on iterative development and collaboration. Testing and Automation: Experience in unit testing , integration testing , and automated testing using frameworks like pytest and unittest to ensure code quality and reliability. Communication & Documentation: Excellent verbal and written communication skills, capable of detailing code, technical processes, and explaining them to both technical and non-technical collaborators. Non-Functional Requirements (NFR): Experience in defining and implementing Non-Functional Requirements such as performance optimizations, scalability , and security in data-driven applications. Nice to Have Skills, Knowledge, and Experience: Cloud Services & Deployment: Experience with cloud platforms like AWS or GCP , specifically related to data storage , serverless computing , and scalable APIs . Data Pipeline Tools: Familiarity with data pipeline tools like Apache Airflow , Apache Kafka , or similar platforms for managing and orchestrating data workflows. Machine Learning & AI Frameworks: Experience with machine learning libraries such as scikit-learn , TensorFlow , PyTorch , or similar, particularly in building and training models for data-driven applications. Code Quality & Analysis Tools: Experience with SonarQube , ESLint , or similar tools for code quality analysis , ensuring maintainability and scalability of the codebase.

About the Role We are seeking a self-motivated and deadline-driven Backend Developer with a strong foundation in Golang or Python , backend architecture, and cloud infrastructure (preferably AWS ). You’ll be building and optimizing scalable APIs, microservices, and data pipelines for AI-integrated platforms. This role requires a passion for AI/ML technologies and an ability to collaborate in fast-paced, innovative environments. Key Responsibilities Design, develop, and maintain high-performance backend services using Golang or Python Integrate AI/ML modules via APIs and prompt engineering where applicable Develop and optimize RESTful APIs , GraphQL endpoints , and server-side logic Deploy and manage services in AWS (Lambda, EC2, S3, RDS, etc.) Participate in architecture decisions, code reviews, and CI/CD workflows Collaborate with front-end, data, and AI teams to ensure cohesive development Troubleshoot, test, and maintain backend code to ensure strong optimization and functionality Adhere to project deadlines and milestones with minimal supervision Required Skills 2+ years experience in backend development (Golang or Python) Strong understanding of microservices architecture , REST APIs , and event-driven systems Experience with AWS services (Lambda, S3, EC2, DynamoDB, etc.) Basic understanding of prompt engineering and integration with LLMs or AI APIs Familiarity with PostgreSQL / MySQL / NoSQL databases Proficient with Git , Docker , and CI/CD pipelines Passion for emerging AI technologies and automation Excellent communication and time management skills Good to Have Experience with AI frameworks (OpenAI, LangChain, Hugging Face, etc.) Exposure to serverless architecture Background in data engineering or DevOps What We Offer Competitive salary and performance bonuses Work on cutting-edge AI/automation products Remote/hybrid flexibility Fast-paced, innovative, and mission-driven environment Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Benefits: Paid time off Work from home Location Type: In-person Schedule: Monday to Friday UK shift Weekend availability Experience: Back-end development: 3 years (Required) Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 07/07/2025

About Gartner IT Step into a world where your creativity fuels innovation and your ideas drive transformation. At Gartner IT, we empower our team to build groundbreaking digital solutions that make a real difference for our colleagues and clients. Here, every voice matters, and every idea has the potential to shape the future. Are you ready to make an impact? About The Role As a Software Development – ML Specialist, you'll be at the forefront of designing, implementing, and supporting Python-based applications that align with our Research & Consulting Delivery strategy. Your expertise in NLP will be crucial in crafting solutions that propel Gartner's mission forward. What You’ll Do Pioneer new methodologies to rapidly deploy data-driven products and services, leveraging the power of ML and NLP. Transform unstructured data into actionable insights, setting the stage for advanced modelling. Lead architectural and technical design discussions, ensuring our NLP solutions hit strategic targets. Drive continuous improvement of NLP models through cutting-edge experimentation and optimization. Stay ahead of the curve by integrating the latest advancements in NLP and machine learning. Dive into generative AI technologies like OpenAI and LLaMA3 to supercharge our NLP capabilities. Craft detailed design specifications and rigorously review code to uphold our high standards. What You’ll Need Bring your 2-4 years of expertise in algorithms, statistics, and data processing to the table, along with hands-on experience in machine learning, deep learning, and NLP. Must Have Over 2 years of hands-on experience in Machine Learning and NLP. Mastery of Python programming. Expertise in data cleaning and exploratory data analysis. Deep understanding of algorithms, statistics, data mining, and NLP. Proficiency in NLP, including transformers. Skilled in Python libraries like Pandas and NumPy. Familiarity with deep learning libraries such as SpaCy, NLTK, TensorFlow, and Scikit-Learn. Experience with relational databases like Oracle, PostgreSQL, and MySQL. Strong analytical, problem-solving, and debugging skills. Good To Have Experience with generative AI technologies such as OpenAI, LLaMA3, etc. Knowledge of graph databases. Experience in deploying model serving APIs. Who You Are A master of time management, meeting deadlines with ease. A communicator who can bridge the gap between technical and business audiences. An organizational wizard with multitasking and prioritization prowess. A tech enthusiast eager to embrace and master new technologies and ideas. Driven by intellectual curiosity and a passion for staying ahead of tech trends. Committed to delivering high-quality projects on time and within budget. Think you might not meet every requirement? We encourage you to apply anyway. You could be the perfect fit for this role or others. Join us and be part of something extraordinary! Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:98080 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

About Gartner IT Step into a world where your creativity fuels innovation and your ideas drive transformation. At Gartner IT, we empower our team to build groundbreaking digital solutions that make a real difference for our colleagues and clients. Here, every voice matters, and every idea has the potential to shape the future. Are you ready to make an impact? About The Role As a Software Development – ML Specialist, you'll be at the forefront of designing, implementing, and supporting Python-based applications that align with our Research & Consulting Delivery strategy. Your expertise in NLP will be crucial in crafting solutions that propel Gartner's mission forward. What You’ll Do: Pioneer new methodologies to rapidly deploy data-driven products and services, leveraging the power of ML and NLP. Transform unstructured data into actionable insights, setting the stage for advanced modelling. Lead architectural and technical design discussions, ensuring our NLP solutions hit strategic targets. Drive continuous improvement of NLP models through cutting-edge experimentation and optimization. Stay ahead of the curve by integrating the latest advancements in NLP and machine learning. Dive into generative AI technologies like OpenAI and LLaMA3 to supercharge our NLP capabilities. Craft detailed design specifications and rigorously review code to uphold our high standards. What You’ll Need: Bring your 2-4 years of expertise in algorithms, statistics, and data processing to the table, along with hands-on experience in machine learning, deep learning, and NLP. Must Have: Over 2 years of hands-on experience in Machine Learning and NLP. Mastery of Python programming. Expertise in data cleaning and exploratory data analysis. Deep understanding of algorithms, statistics, data mining, and NLP. Proficiency in NLP, including transformers. Skilled in Python libraries like Pandas and NumPy. Familiarity with deep learning libraries such as SpaCy, NLTK, TensorFlow, and Scikit-Learn. Experience with relational databases like Oracle, PostgreSQL, and MySQL. Strong analytical, problem-solving, and debugging skills. Good to Have: Experience with generative AI technologies such as OpenAI, LLaMA3, etc. Knowledge of graph databases. Experience in deploying model serving APIs. Who You Are: A master of time management, meeting deadlines with ease. A communicator who can bridge the gap between technical and business audiences. An organizational wizard with multitasking and prioritization prowess. A tech enthusiast eager to embrace and master new technologies and ideas. Driven by intellectual curiosity and a passion for staying ahead of tech trends. Committed to delivering high-quality projects on time and within budget. Think you might not meet every requirement? We encourage you to apply anyway. You could be the perfect fit for this role or others. Join us and be part of something extraordinary! Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:98080 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

Note: Please apply only if you have 6 years or more of relevant experience in Data Science (excluding internship) Comfortable working 5-days a week from Gurugram, Haryana Are an immediate joiner or currently serving your notice period About Eucloid At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industries—from Hi-tech and D2C to Healthcare and SaaS. With partnerships with giants like Databricks, Google Cloud, and Adobe, we’re pushing boundaries and building next-gen technology. Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients. What You’ll Do As a GenAI Engineer, you will play a pivotal role in designing and deploying data-driven and GenAI-powered solutions. Your responsibilities will include: Analyzing large sets of structured and unstructured data to extract meaningful insights and drive business impact. Designing and developing Machine Learning models, including regression, time series forecasting, clustering, classification, and NLP. Building, fine-tuning, and deploying Large Language Models (LLMs) such as GPT, BERT, or LLaMA for tasks like text summarization, generation, and classification. Working with Hugging Face Transformers, LangChain, and vector databases (e.g., FAISS, Pinecone) to develop scalable GenAI pipelines. Applying prompt engineering techniques and Reinforcement Learning with Human Feedback (RLHF) to optimize GenAI applications. Building and deploying models using Python, R, TensorFlow, PyTorch, and Scikit-learn within production-ready environments like Flask, Azure Functions, and AWS Lambda. Developing and maintaining scalable data pipelines in collaboration with data engineers. Implementing solutions on cloud platforms like AWS, Azure, or GCP for scalable and high-performance AI/ML applications. Enhancing BI and visualization tools such as Tableau, Power BI, Qlik, and Plotly to communicate data insights effectively. Collaborating with stakeholders to translate business challenges into GenAI/data science problems and actionable solutions. Staying updated on emerging GenAI and AI/ML technologies and incorporating best practices into projects. What Makes You a Fit Academic Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Technical Expertise: 6+ years of hands-on experience in applying Machine Learning techniques (clustering, classification, regression, NLP). Strong proficiency in Python and SQL, with experience in frameworks like Flask or Django. Expertise in Big Data environments using PySpark. Deep understanding of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Proficiency in cloud-based AI/ML deployment on AWS, Azure, or GCP. Experience in Docker and containerization for ML model deployment. Knowledge of code management methodologies and best practices for implementing scalable ML/GenAI solutions. Extra Skills: Experience in Deep Learning and Reinforcement Learning. Hands-on experience with NLP, Text Mining, and LLM architectures. Experience in business intelligence and data visualization tools (Tableau, Power BI, Qlik). Experience with prompt engineering and fine-tuning LLMs for production use cases. Ability to effectively communicate insights and translate technical work into business value. Why You’ll Love It Here Innovate with the Best Tech: Work on groundbreaking projects using AI, GenAI, LLMs, and massive-scale data platforms. Tackle challenges that push the boundaries of innovation. Impact Industry Giants: Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS, and Retail. Partner with platforms like Databricks, Google Cloud, and Adobe to create high-impact products. Collaborate with a World-Class Team: Join exceptional professionals from IITs, IIMs, NITs, and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, grow, and lead in a team that values expertise and collaboration. Accelerate Your Growth: Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority. Work in a Culture of Excellence: Be part of a dynamic workplace that fosters creativity, teamwork, and a passion for building transformative solutions. Your contributions will be recognized and celebrated. About Our Leadership Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad). Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow). Key Benefits Competitive salary and performance-based bonus. Comprehensive benefits package, including health insurance and flexible work hours. Opportunities for professional development and career growth. Location: Gurugram Submit your resume to saurabh.bhaumik@eucloid.com with the subject line “ Application: GenAI Engineer. ” Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment. Show more Show less

Role Requirements: Hands-on experience with building intelligent AI application pipelines using OCR, layout parsing, and metadata extraction techniques. Expertise in building vector databases and search indexes using embedding models (OpenAI, Hugging Face models, or proprietary). Strong experience designing semantic and hybrid search frameworks using similarity search libraries (FAISS, Milvus etc.) or cloud-native services (Azure AI Search, AWS OpenSearch, AWS Bedrock etc.) Ability to fine-tune or prompt-tune LLMs for document classification, information retrieval, and summarization tasks. Familiar with knowledge graph creation, indexing strategies, and advanced querying methods for unstructured datasets. Desired Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field. Minimum 5-7 years of experience working on document intelligence, text mining, or search-based AI applications. Proven experience communicating complex ML results and search design choices to business and engineering stakeholders. Strong teamwork and cross-functional collaboration skills. Excellent analytical and structured problem-solving skills. Interested, please share your resume to harish.murugesan@xptsoftware.com Show more Show less

Job Title: Senior Software Engineer – AI (Prompt Engineering & Full Stack) Location: Remote / United States / India Employment Type: Full-Time Product Stage: (Stealth Mode) AI Product Platform for Healthcare About Us: We’re a growing healthtech startup on a mission to disrupt the $500B+ US Healthcare Operations & Management space using cutting-edge AI tools. Our goal is to build a modern, intelligent platform that eliminates administrative waste and improves healthcare operations. We’re backed by the industry's best investors and SMEs, and we're building an elite team of engineers, designers, and domain experts. We are on a mission to help Clinicians and patients so that their administrative burden is simplified and the patients have the best outcomes. The Role: We’re looking for an experienced Software Engineer – AI who thrives in ambiguity, moves fast, and is passionate about applying AI (& concepts...) to solve real-world problems. You’ll play a foundational role in shaping both the product and the engineering culture. This role blends Prompt Engineering, LLM application design, and Full Stack Development to help build a next-generation healthcare intelligence engine to solve real-life problems for hospitals and health systems. What You’ll Do: Design and develop prompt architectures for LLM-based workflows Engineer and fine-tune prompt chains for optimal performance, accuracy, and reliability Collaborate with domain experts to understand the nuances of healthcare and translate them into intelligent AI interactions Develop and deploy secure, scalable full-stack features – from front-end UIs to back-end services and APIs Integrate AI capabilities into product workflows using tools like LangChain, OpenAI APIs, or open-source LLMs Work closely with the founding team to iterate quickly and bring the product to real-life operations Skills & Experience: Required: 5–7 years of experience in software engineering, ideally in AI or health-tech startups Strong grasp of Prompt Engineering for LLMs (e.g., GPT-4, Claude, Mistral, etc.) Experience with Full Stack Development using modern frameworks (e.g., React, Next.js, Node.js, Python, Flask, or FastAPI) Familiarity with AI tooling (LangChain, Pinecone, vector databases, etc.) Understanding of HIPAA and secure data handling practices Experience shipping production-grade code in a fast-paced, agile environment Good to have (+plus points) Knowledge of US Healthcare operations (e.g., CPT, ICD-10 codes, SNOMED, EDI 837/835, payer, provider workflows) Experience with healthcare data formats (HL7, FHIR, EDI) Experience with DevOps and cloud deployment (AWS/GCP/Azure) Why Join Us: Work on a mission-critical, AI-first product that impacts real healthcare outcomes Join at ground zero and shape the technical and product direction Competitive compensation, meaningful equity, and flexible work environment Build with the latest in AI – and solve problems the world hasn’t cracked yet If you’re excited to use AI to fix the broken healthcare machinery, contact us ASAP! Show more Show less

Role Expectations: Collaborate with internal teams to understand coding and deployment challenges. Design, test, and optimise prompts to generate high-quality, production-ready code using AI/LLM tools. Rapidly prototype solutions for a variety of use cases across different domains (no fixed project). Evaluate and refine prompt strategies to maximise efficiency and accuracy. Document best practices and share insights with the team. Provide feedback on the effectiveness of prompt engineering for different business challenges Qualifications: Experience: 2–4 years in prompt engineering, with a proven track record of generating code using AI/LLM tools (e.g., OpenAI, Anthropic, Google Gemini, etc.). Technical Skills: Proficiency in at least one programming language (e.g., NET, React, Flutter, Python, JavaScript, etc.) and experience with code generation using AI. Problem-Solving: Ability to quickly understand new problems and propose innovative AI-driven solutions. Communication: Strong written and verbal communication skills to document findings and collaborate with cross-functional teams. Adaptability: Comfortable working in a fast-paced, experimental environment with shifting priorities. Good teamwork skills with problem-solving and analytical abilities. Excellent communication and collaboration skills with other team members Ability to work independently and manage multiple priorities in a fast-paced environment Show more Show less

Job Title: Generative AI Intern – Workflow Automation (Remote) Company: SEO Scientist AI Industry: AI-Powered SEO & Marketing Automation Location: Remote Internship Duration: 3 to 6 Months Stipend: Yes (Based on Skills) About Us: At SEO Scientist AI, we are building autonomous agents that automate SEO and marketing workflows using large language models and real-time tools. Our goal is to replace repetitive manual tasks in SEO with intelligent systems. We're competing with platforms like AirOps, AgenticFlow, Mazzal, and Relevance—and we’re moving fast. What You’ll Work On: Assist in building and testing LLM-based agents for automating SEO and marketing tasks Support integration of tools like Notion, Google Sheets, and Webflow with AI workflows Use platforms like OpenAI, LangChain, and AWS Lambda for building internal prototypes Help write prompt chains, test workflows, and track output accuracy Work closely with product and engineering teams to improve automation pipelines #What We’re Looking For: Hands-on experience or academic projects in Generative AI or LLMs (OpenAI, Claude, Mistral, etc.) Familiarity with Python and basic cloud concepts (AWS preferred) Interest or experience in automating tasks using tools like Zapier, Make.com, or custom scripts Bonus: Exposure to LangChain, LlamaIndex, Pinecone, or similar agent frameworks A curious mind and eagerness to learn how AI is reshaping SEO and content marketing --- Perks: -Remote-first internship with flexible work hours -Learn from engineers, marketers, and AI experts working on real-world agentic use cases -Get hands-on experience with cutting-edge tools in the Generative AI space -Letter of recommendation and priority for full-time roles Show more Show less

Job Description We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. Natural Abilities. Smart, self-motivated, responsible and out of the box thinker. Detail oriented and powerful analyzer. Great writing communication skills. Requirements 5+ years of total software development experience with a strong foundation in Python. 2-3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc. Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). Exposure to agent frameworks and multi-agent orchestration. Excellent written and verbal communication skills. Proven ability to lead and mentor team members on technical and architectural decisions. Responsibilities Lead the design and development of GenAI/LLM-based products and solutions. Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc. Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. (ref:hirist.tech) Show more Show less

Key Responsibilities Develop Python scripts and small apps to automate business processes across HR, sales, and marketing domains Work with OpenAI APIs and other AI/automation tools to build intelligent workflows Integrate with existing SaaS platforms (like CRM, ATS, marketing tools) via APIs Learn and adapt fast in a fast-paced, experimental environment Collaborate with the team to identify automation opportunities and deliver quick, scalable solutions About Company: We have a small set up in Mohali, we have been in the market for the last 12 years and want someone to join our ranks in 30 days. You will be given an environment to learn and grow. Show more Show less

Selected Intern's Day-to-day Responsibilities Include Design, build, and deploy custom AI agents using N8N or similar tools (e.g., Node-RED, Make, Zapier) Integrate LLMs (OpenAI, Claude, etc.) into business workflows via APIs Automate internal tasks such as document classification, smart alerts, or workflow triggers using webhooks and JSON parsing Work closely with TRC’s Dutch operations and engineering teams to understand problems and implement automation-based solutions Document flows, test outcomes, and maintain modularity in design for future scalability About Company: Headquartered in Eindhoven, Netherlands, and with an operational hub in Dehradun, and Manufacturing in Noida, India, TRC is a leading European provider of end-to-end RFID and IoT solutions. We specialize in sustainable RFID labels, RFID hardware, and smart system integration for industries like logistics, retail, manufacturing, and healthcare. TRC Is An Agile, Fast-growing Company Recognized For Sustainable RFID solutions Custom product development Rapid delivery and proactive consulting Global client portfolio We collaborate closely with system integrators and enterprises to enable intelligent supply chains and real-time asset tracking. Show more Show less

AI Engineer About the Role We are looking for an AI Engineer with the ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications. This position sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies and strong software engineering fundamentals. Key Responsibilities Transform data science prototypes and concepts into production-ready applications with a focus on scalability, stability, and performance Design and implement robust AI systems leveraging modern LLM technologies, including API integrations, Retrieval Augmented Generation (RAG), and embedding models Develop and maintain backend services and APIs that support AI functionality Implement efficient data pipelines and storage solutions for AI applications Implement comprehensive testing and monitoring for AI systems Required Qualifications Bachelor's degree in computer science, Software Engineering, or related technical field 3+ years of experience in software development with a focus on backend systems Strong proficiency in Python and its ecosystem for AI/ML development Experience with LLM technologies, including API integrations (OpenAI, Anthropic, etc.) Knowledge of RAG architectures, vector databases, and embedding models Clear understanding of software design patterns and principles Experience with Docker Understanding of CI/CD pipelines and DevOps practices Preferred Qualifications Masters degree in computer science, AI, or related field Experience with cloud platforms (AWS, Azure or GCP) Knowledge of AI agent frameworks and orchestration Experience with function calling, tool integration, and AI system planning Experience with monitoring and observability tools for AI systems Contributions to open-source AI/ML projects Experience with model optimization and deployment strategies Skills & Competencies Strong problem-solving abilities and analytical thinking Excellent communication skills to collaborate with both technical and non-technical stakeholders Ability to balance technical debt and delivery timelines Attention to detail, particularly regarding system reliability and security Passion for staying current with rapidly evolving AI technologies Top three skills looking in profiles: Proficiency in Python for AI/ML Development Strong command of Python and its ecosystem is essential for building and scaling AI applications. Experience with LLM Technologies and Architectures Includes API integrations (e.g., OpenAI, Anthropic), Retrieval Augmented Generation (RAG), vector databases, and embedding models. Backend Development and API Engineering Ability to develop and maintain backend services and APIs that support AI functionality. Role & responsibilities Preferred candidate profile

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands. Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI. Want to become a key part of the Generative AI revolution? We should talk. As an L3 Technical Support Engineer at Netomi, you will be at the forefront of resolving the most challenging technical issues, serving as the final escalation point within the support team. You will possess extensive expertise across all facets of Netomi’s offerings and will work closely with cross-functional teams to ensure the seamless delivery of solutions. Responsibilities You will serve as the top-level support contact, resolving the most complex technical issues escalated from L1 and L2 support engineers. Develop an unparalleled understanding of Netomi’s systems, including AI Studio, backend architecture, and agent desk integrations. Collaborate with cross-functional teams (e.g., Product, Engineering, QA, and Analytics) to diagnose and resolve intricate technical challenges. Participate in advanced troubleshooting sessions and incident management, leading efforts to resolve extensive system outages or critical issues. Work directly with customers to provide high-level support and solutions for complex issues affecting their systems. Create and maintain comprehensive documentation of complex technical solutions to enrich the internal knowledge base. Continuously refine and improve internal processes and workflows to optimize the performance of the support team. Analyze customers’ business requirements and provide expert guidance on how Netomi’s offerings can satisfy those needs. Oversee SLA adherence and report key performance metrics to management and stakeholders. Aid in the development and deployment of production setups within client environments, ensuring the highest performance standards. Participate in a 24x7 on-call rotation to deliver round-the-clock support as needed. Requirements 6-7 years of experience in technical support with a focus on complex problem-solving and systems architecture. Extensive experience with Zendesk, API integrations, and proficiency in additional tools like Postman, Datadog, and Workato. Advanced knowledge of Java, MySQL, and JavaScript with the ability to write and analyze complex scripts and code. Proven track record in a senior technical role, with the ability to impact operations positively through the development and refinement of standard operating procedures. Demonstrated ability to work effectively in fast-paced, high-pressure environments, with a focus on results and customer satisfaction. Exceptional communication skills, with an ability to articulate technical solutions to technical and non-technical stakeholders. Experience in mentoring and providing technical guidance to junior team members. Familiarity with Agile development processes and a proactive approach to problem-solving. Ability to lead and conduct training sessions for new hires and team members, enhancing their technical skills and product knowledge. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI – Application Developer (.NET) EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and study more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company. EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax. GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. EY is currently seeking a Generative AI – Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata India. The opportunity We’re looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm whilst being instrumental in the growth of a new service offering. Your Key Responsibilities Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/ platform development strategy. Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. Skills And Attributes For Success Must-Have: Skilled in full-stack application development with .NET C#, REST Api, React or any other typescript based UI frameworks, SQL databases Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID etc. Containerisation – Docker, Azure container apps, Azure Kubernetes Services (AKS) No-SQL database such Cosmos or Mongo DB Working experience with source control such as git or TFVC CI/CD pipelines, Azure DevOps, GitHub Actions etc. Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. Fundamental understanding of various types of Large Language Models (LLMs) Fundamental understanding of Retrieval Augment Generation (RAG) techniques Fundamental understanding of classical AI/ML Skilled in Advanced prompt engineering Nice-to-Have: Awareness about various AI Agents/ Agentic workflow frameworks and SDKs Graph Database such as Neo4j Experience with M365 Copilot Studio Microsoft Azure AI-900/ AI-102 Certification Behavioural Skills: Excellent learning ability. Strong communication skill. Flexibility to work both independently and as part of a larger team. Strong analytical skills and attention to detail. The ability to adapt your work style to work with both internal and client team members. To qualify for the role, you must have Bachelor’s / master’s degree in software engineering / information technology / BE/ B.TECH An overall 5 – 9 years of experience. Ideally, you’ll also have Thorough knowledge Tax or Finance Domain. Strong analytical skills and attention to detail. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY TAS practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Hi {fullName} There is an opportunity for Azure Devops (CI/CD Pipelines, Migration) IN Hyderabad for which WALKIN interviewAT HYDERABAD is there on 21st JUN 25 between 9:30 AM TO 12:30 PM PLS SHARE below details to mamidi.p@tcs.com with subject line as Azure Devops 21st JUN 25 if you are interested Email id: Contact no: Total EXP: Preferred Location: CURRENT CTC: EXPECTED CTC: NOTICE PERIOD: CURRENT ORGANIZATION: HIGHEST QUALIFICATION THAT IS FULL TIME : HIGHEST QUALIFICATION UNIVERSITY: ANY GAP IN EDUCATION OR EMPLOYMENT: IF YES HOW MANY YEARS AND REASON FOR GAP: ARE U AVAILABLE FOR WALKIN INTERVIEW AT HYDERABAD ON 21ST JUN 25(YES/NO): We will share a mail to you by tom Night if you are shortlisted. Desired Competencies (Technical/Behavioral Competency) Must-Have Extensive automation experience in Azure DevOps Practical delivery experience in Infrastructure as Code (IaC) using bicep. Automate deployment tasks using scripts (e.g., PowerShell, Bash) within your CI/CD pipelines. Understand how to integrate the code artifacts of the following Azure data services into CI/CD pipelines: Azure Data Factory, Azure Databricks, Azure Machine Learning, SQL Database, Azure OpenAI Experience in Azure CI (integrate developers code into shared repo) and CD (deploy both IaC script and code artifacts into Dev, Test , and UAT environments). Good-to-Have Terraform experience is a plus Roles & Responsibilities Own and deliver DevOps pipelines for multiple, diverse devops teams Define, propose and execute features roadmap towards developing strong and mature DevOps pipelines Lead the design discussions and development of innovative cloud and DevOps solutions Work on Azure cloud for infrastructure automation using cloud native services Show more Show less

Who Are We Third Chair(YC X25) is building AI Agents for in-house legal teams. The team comprises of 2 second-time founders with past exits. Yoav previously cofounded social media analytics startup Trendpop(YC W21) that scaled to 1M in ARR in 16 months building a platform that processed millions of social posts per day. Shourya previously cofounded a consumer finance startup Fello(YC W22) that scaled to over 2 million users and managed over 600k monthly active users and over $250,000 in monthly investments. Third Chair is building vertical AI-native workflows for legal teams that help them complete end-to-end workflows that previously required 100s of hours. This is accomplished by building SOTA AI agents that browse the web, download and collect evidence, draft letters and more. We've grown 88% last month and went from 0 to 100k ARR in 5 months . More here. What Makes You a Good Fit 3+ years of hands-on experience developing production level Node.js/Typescript backends. Strong experience with structured DBMSs like PostgreSQL and OLAP databases like Redshift. Strong understanding of AWS services such as ECS, RDS, S3, CloudWatch, Elasticache. Experience working with telemetry, CI/CD and IaaC pipelines. Comfortable with US timezones. What Makes You a Great Fit Past experience with OpenAI APIs for completions, function calling and building context aware assistants. Past experience with Go routines. Building multi-agent systems using frameworks like CrewAI or such. Strong sense of cost optimization strategies, system design, and building efficient API stacks. Benefits Work from anywhere - We're a distributed team across multiple timezones with a focus on outputs instead of location or working hours. Generous PTO policy. Competitive pay bracket. Equity at a fast growing YC backed co in a disruptive market. Show more Show less

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Skills: intelligence,python,tensorflow,pytorch,conversational ai,llm fine-tuning,edge ai deployment,optimization,speech,model optimization,llm,speech-to-speech (s2s),privacy-compliant data pipelines,generative ai,speaker diarization,speech emotion recognition,multi-agent systems Show more Show less

Banyan Software provides the best permanent home for successful enterprise software companies, their employees, and customers. We are on a mission to acquire, build and grow great enterprise software businesses all over the world that have dominant positions in niche vertical markets. In recent years, Banyan was named the #1 fastest-growing private software company in the US on the Inc. 5000 and amongst the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Founded in 2016 with a permanent capital base setup to preserve the legacy of founders, Banyan focuses on a buy and hold for life strategy for growing software companies that serve specialized vertical markets. About SmartDocuments Are you ready for the next step in your career as a Senior Software Developer? At SmartDocuments, you will work in a multidisciplinary team on innovative software solutions. With room for initiative, the latest technologies, and an Agile work environment, you will actively contribute to the development of our products. Your Role as a Lead Dev Ops Engineer We're looking for an experienced DevOps Engineer to help build, automate, and maintain both our SaaS cloud infrastructure and on-premise client installations. You'll work closely with development teams to implement robust CI/CD pipelines, manage Kubernetes deployments, and ensure security across our microservices architecture in multiple environments, with a focus on search, AI, and vector database technologies. What Will You Do? Design and implement automated CI/CD pipelines for both cloud and on-premise environments. Develop and maintain automated installation and update processes for on-premise client deployments. Manage SaaS infrastructure and maintain Kubernetes clusters across multiple environments. Deploy and support Elasticsearch clusters and vector database solutions. Set up and manage Large Language Model (LLM) deployments using Azure AI services. Implement and maintain authentication systems across microservices and platforms. Provide support for PostgreSQL database infrastructure, including performance tuning and backup management. Monitor system health and performance across distributed systems using observability tools. Apply security best practices across all deployment models—cloud, hybrid, and on-premise. Collaborate with development teams to streamline and optimize deployment workflows and automation strategies. Must-haves Version Control & CI/CD: Proficient in using Bitbucket for source control and managing CI/CD pipelines. Identity & Access Management: Hands-on experience with Keycloak and Azure SSO for secure authentication and user management. Kubernetes: In-depth knowledge of Kubernetes, including implementing SSO in containerized environments. Database Management: Skilled in PostgreSQL administration, including performance tuning and optimization. Search & Analytics: Experienced in configuring, optimizing, and scaling Elasticsearch for high-performance search and analytics workloads. Vector Databases: Practical exposure to vector database technologies, supporting AI/ML-driven applications. Azure AI & LLMs: Familiar with deploying and managing Large Language Models (LLMs) using Azure AI, particularly through the Azure OpenAI Service. System Architecture: Expertise in implementing microservices and MACH architecture (Microservices, API-first, Cloud-native, Headless). Code Quality & Governance: Proficient in integrating SonarQube for continuous code quality analysis and enforcement across the development lifecycle. Nice To Have Deployment Automation: Experience in creating reproducible, automated installation processes for on-premise environments. Infrastructure as Code (IaC): Proficient with Terraform, Ansible, or similar tools for automating deployments in both cloud and on-premise setups. Cloud Platforms: Strong hands-on experience with AWS, Azure, and Google Cloud Platform (GCP). CI/CD Pipelines: Skilled in using Jenkins, GitHub Actions, and Azure DevOps for continuous integration and delivery. Monitoring & Observability: Experience with Prometheus, Grafana, and the ELK stack in managing distributed systems. Security & DevSecOps: Knowledge of integrating vulnerability scanning, secret management (e.g., HashiCorp Vault), and DevSecOps best practices into the delivery pipeline. Containerization: Proficient with Docker and managing container registries. Scripting & Automation: Strong scripting skills in Bash, Python, and PowerShell for automating tasks and processes. Network Management: Experience working with ingress controllers and service mesh technologies such as Istio or Linkerd. Configuration Management: Hands-on with Helm charts and Kustomize for Kubernetes resource configuration. Qualifications 5+ years of DevOps/SRE experience in both cloud and on-premise environments Demonstrated experience with microservices architecture Experience with Elasticsearch and modern AI infrastructure components Familiarity with vector databases (such as Pinecone, Milvus, or Weaviate) Experience deploying LLMs on Azure AI or similar platforms Experience automating complex installation processes Strong problem-solving abilities and communication skillsRelevant certifications (e.g., CKA, AWS/Azure certifications) a plus Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Show more Show less

Job description About this role Want to elevate your career by being a part of the world's largest asset manager? Do you thrive in an environment that fosters positive relationships and recognizes stellar service? Are analyzing complex problems and identifying solutions your passion? Look no further. BlackRock is currently seeking a candidate to become part of our Global Investment Operations Data Engineering team. We recognize that strength comes from diversity, and will embrace your rare skills, eagerness, and passion while giving you the opportunity to grow professionally and as an individual. We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and actively engage your involvement in our success. With over USD $11.5 trillion of assets under management, we have an extraordinary responsibility: our technology and services empower millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being. Come join our team and experience what it feels like to be part of an organization that makes a difference. Technology & Operations Technology & Operations(T&O) is responsible for the firm's worldwide operations across all asset classes and geographies. The operational functions are aligned with clients, products, fund structures and our Third-party provider networks. Within T&O, Global Investment Operations (GIO) is responsible for the development of the firm's operating infrastructure to support BlackRock's investment businesses worldwide. GIO spans Trading & Market Documentation, Transaction Management, Collateral Management & Payments, Asset Servicing including Corporate Actions and Cash & Asset Operations, and Securities Lending Operations. GIO provides operational service to BlackRock's Portfolio Managers and Traders globally as well as industry leading service to our end clients. GIO Engineering Working in close partnership with GIO business users and other technology teams throughout Blackrock, GIO Engineering is responsible for developing and providing data and software solutions that support GIO business processes globally. GIO Engineering solutions combine technology, data, and domain expertise to drive exception-based, function-agnostic, service-orientated workflows, data pipelines, and management dashboards. The Role – GIO Engineering Data Lead Work to date has been focused on building out robust data pipelines and lakes relevant to specific business functions, along with associated pools and Tableau / PowerBI dashboards for internal BlackRock clients. The next stage in the project involves Azure / Snowflake integration and commercializing the offering so BlackRock’s 150+ Aladdin clients can leverage the same curated data products and dashboards that are available internally. The successful candidate will contribute to the technical design and delivery of a curated line of data products, related pipelines, and visualizations in collaboration with SMEs across GIO, Technology and Operations, and the Aladdin business. Responsibilities Specifically, we expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate the following (not in order of priority) Design, develop and maintain a Data Analytics Infrastructure Work with a project manager or drive the project management of team deliverables Work with subject matter experts and users to understand the business and their requirements. Help determine the optimal dataset and structure to deliver on those user requirements Work within a standard data / technology deployment workflow to ensure that all deliverables and enhancements are provided in a disciplined, repeatable, and robust manner Work with team lead to understand and help prioritize the team’s queue of work Automate periodic (daily/weekly/monthly/Quarterly or other) reporting processes to minimize / eliminate associated developer BAU activities. Leverage industry standard and internal tooling whenever possible in order to reduce the amount of custom code that requires maintenance Experience 3+ years of experience in writing ETL, data curation and analytical jobs using Hadoop-based distributed computing technologies: Spark / PySpark, Hive, etc. 3+ years of knowledge and Experience of working with large enterprise databases preferably Cloud bases data bases/ data warehouses like Snowflake on Azure or AWS set-up Knowledge and Experience in working with Data Science / Machine / Gen AI Learning frameworks in Python, Azure/ openAI, meta tec. Knowledge and Experience building reporting and dashboards using BI Tools: Tableau, MS PowerBI, etc. Prior Experience working on Source Code version Management tools like GITHub etc. Prior experience working with and following Agile-based workflow paths and ticket-based development cycles Prior Experience setting-up infrastructure and working on Big Data analytics Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy Experience working with SMEs / Business Analysts, and working with Stakeholders for sign-off Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R254094

Gen AI IT is a global leader in industrial packaging products and services. We are committed to providing innovative solutions that enhance our customers productivity and sustainability. Our team is dedicated to excellence, and we strive to create a collaborative and inclusive work environment. Position Overview: It is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2 to 4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fastpaced PoC (Proof of Concept) delivery schedule. KeyResponsibilities: Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc. Manage small to medium-sized projects with minimal supervision. Apply Agile methodology to ensure efficient project delivery. Make informed decisions under uncertainty and adapt to changing project requirements. Qualifications: Bachelor or master degree in AI, computer science, Engineering, mathematics or a related field. 2 to 4 years of experience in developing and deploying AI/ML solutions to production. Hands on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming. Handson experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Building Copilot agents and embedding them into systems such as Workday, Teams, etc. Mandatory Skills Gen AI Python data storage systems - especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse 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.

Summary Position Summary Data Scientist Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? If yes, we have just the role for you. In Deloitte’s Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations. You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs. As a Data Scientist, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills. Specifically, you will be expected to: Develop, test, and deploy machine learning/AI models Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives Contribute to internal discussions on emerging machine learning methodologies Qualifications Required: 2+ years of relevant experience Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) Experience using Python and relevant libraries ( NumPy, Pandas, Scikit-learn, etc.) Coursework related to machine learning, deep learning, and programming At least an introductory understanding of LLMs and prompt engineering Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Demonstrated ability to write high-quality code Demonstrated ability to develop machine learning models Ability to travel as needed ( Preferred: 3+ years of relevant experience Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) Relevant work experience (internships, school jobs, etc.) Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps Familiarity with machine learning model development life cycles Experience with version control practices and tools (Git, etc.) Public AI-related projects you have developed available on GitHub Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300881 Show more Show less

CSQ326R35 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads Advise data teams on data science architecture, tooling, and best practices Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI 4-10 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience in communicating and teaching technical concepts to both non-technical and technical audiences Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks and Apache Spark™ About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less