2714 Openai Jobs - Page 15

3-5 years of experience in ML/AI with at least 1 year in GenAI. Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI). Strong skills in building APIs and deploying AI solutions. Experience in data pipeline development.

Are You Ready to Make a Real Difference? Are you a talented full-stack engineer looking to make a real difference through the application of cutting-edge technology products? Do you want to: Work on tech products that solve meaningful problems - rural water security for farmers, health outcomes for mothers, reduce gender-based violence in public spaces, reducing environmental pollution - and many others? Spend your time not just sitting in front of your screen but also immersing yourself in the field - villages, slums, schools, public buses - participating in user research to understand how the tools you develop will transform lives? Work in a collegial startup environment that equally values high performance and a nurturing environment within a growing multidisciplinary team? If this deeply resonates (and only if), we invite you to read on. About ABCD Behavior change is an important component of most development topics — healthcare, education, water & sanitation, gender, and agriculture — and several organizations in the Government, the philanthropic sector, and development work on large programs to improve outcomes in these topic areas. The Atlas for Behavior Change in Development (ABCD) aims to help such organizations run high-quality behavioral interventions that help achieve development outcomes. The Atlas is a technology platform that brings together a range of knowledge resources, cutting-edge AI tools, and networking features that enable organizations working in the impact sector to run behavioral programs more effectively and efficiently. The platform is driven by extensive secondary research, knowledge sharing through partnerships, and innovative feature development. You can visit the platform at https://abcd.guide/. The Role & Why It Matters This role will involve building key features and tools within the ABCD platform, including: Tools that promote behavior change among frontline workers (e.g., ASHA, agriculture extension workers, teachers) AI-based tools that improve the way policy and impact investments get made or development programs are designed You will play a foundational role in building these tools, working closely with the ABCD team, our partners (including behavioral researchers, designers, bureaucrats, grassroots NGOs), and will own the technology development process end to end—from architecture to deployment in production. Why This Role is Different At ABCD, we are building transformative technology for the development sector—tools that empower organizations to address some of the toughest, most meaningful challenges of our time, from improving maternal health outcomes to advancing climate resilience in farming communities. We are a small but high-performing team, blending the precision of data science with the empathy of field research, united by a shared mission to create lasting impact. End-to-End Ownership This isn't just another coding job. You'll own the full product lifecycle—from ideation and prototyping to deployment and scale. You'll build tools that are not only technically sound but also contextually relevant to real-world users. Career Acceleration You'll gain leadership experience early, working in a small team where your decisions directly influence product direction. This is a place to fast-track your growth, building not just software but also critical skills in product management, design thinking, and user-centric innovation. Diverse Collaboration Break free from the echo chamber of tech-only teams. Work closely with social scientists, designers, and behavioral researchers to understand the nuances of human behavior and design technology that truly matters. Global Exposure and Impact Your work won't just sit behind a screen. It will be showcased to global audiences, including governments, international NGOs, and major philanthropic organizations, amplifying your professional footprint far beyond the tech community. Responsibilities We are looking for motivated and talented Full-Stack Developers to join our tech team. We seek individuals willing to join early, drive progress independently, and help grow our small tech team over time. As a Full-Stack Developer, you will work closely with our leadership and research teams with responsibilities organized across these key areas: Technical Development AI-First Development Work within ABCD's AI-first development paradigm Demonstrate strong familiarity with Cursor and leverage AI-assisted development tools to enhance productivity and code quality Frontend Excellence Build accessible B2B interfaces using React (Next.js), MUI, and TypeScript for philanthropies, NGOs, and policymakers Backend Architecture Develop scalable systems with Node.js (Express) and TypeScript Optimize PostgreSQL/Redis database interactions Implement secure APIs Leverage Python for specialized AI and data processing tasks AI Integration Enhance our product with GraphRAG and LangGraph based workflows Deploy LLM workflows using LangGraph and Pinecone Integrate with OpenAI/Claude APIs Develop rapid experimentation frameworks Infrastructure & DevOps Manage AWS cloud infrastructure Oversee feature deployments Implement continuous monitoring systems Maintain Git-based version control workflows for optimal collaboration Eligibility RequirementsEducational Background Degree in Computer Science, Information Technology, or a related field from a leading college or university Experience 2-4 years of experience in fast-paced startups working on full-stack web apps with a track record of pushing code to live environments Technical Skills Deep grounding in object-oriented design, data structures, algorithms Deep experience in using design patterns and creating reusable code blocks Proficiency in JavaScript and TypeScript Experience with React and Next.js for frontend development Familiarity with Node.js and Express for backend development Knowledge of relational databases, particularly PostgreSQL Understanding of in-memory data stores like Redis Strong Python skills for backend and data processing tasks Proficiency with Git for code repository management Essential: Experience with generative-AI coding tools such as Cursor Essential: Working knowledge of AI agents (including the LangGraph family of tools) Familiarity with Knowledge Graphs, LLMs, and data analysis tools and experience of Langchain, LlamaIndex Very valuable: Experience building AI-agent and AI-agent enabled workflows Helpful: Knowledge of AI-based code completion and bug tracking tools Core Competencies Problem-Solving Skills: Strong analytical and problem-solving abilities Communication Skills: Excellent verbal and written communication skills Team Player: Ability to work collaboratively in a team environment Adaptability: Willingness to adapt and take on new challenges in a fast-paced startup environment Ownership and Startup Alignment: A deep sense of ownership and the desire to work in a startup setting and building great products Passion for Inclusion and Social Impact: A deep interest in diversity and inclusion and a desire to contribute to impactful projects that serve marginalized communities Other Details Location This position is based out of Delhi, India. You will work closely with the multidisciplinary team at ABCD. We provide a hybrid work environment with a mix of in-office and remote workdays. Duration Full time Compensation Between INR 20-24 lacs per annum based on skills and experience. ESOPs will be separate. How to Apply If this opportunity excites you and aligns with your qualifications and long-term goals, we would love to interview you. Please upload your details with: A thoughtful cover letter (mandatory - this is very important for us) Your resume Evidence of your technical/code contributions such as links to your GitHub, Stack Overflow, or any other relevant portfolio showcasing your work Diversity and Inclusion We are an equal-opportunity employer and actively encourage applications from candidates with diverse identities. We strive to ensure a safe, judgment-free environment for our team with respect to your health and mental health.

Job Title - Python AL/ML Developer Experience - 3+ years Location - Indore (WFO) Np - Immediate/15 days Note - Looking for Madhya Pradesh based candidate. Job description -Implement proof of concepts in Engineering Systems and other innovation field topics where ML / AI technologies can be applied. Realize ML / AI product features. -You will be involved in coding of features, POC s and/or bug-fixing and delivering solutions adhering to coding and quality guidelines. -You will be responsible for Implementation of features and/or bug-fixing and delivering solutions in accordance with coding guidelines and on-time with high quality. -You will be responsible for Identification and implementation of unit and integration tests to ensure solution addresses customer requirements, and quality, security requirements of product are met. -You will be responsible for Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines. -Experience on Large Language Models (LLMs) such as BERT and LLAMA. -Language Model Development: Utilize off-the-shelf LLM services, like Azure OpenAI, for integrating LLM capabilities into applications, and develop new language models. -Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools. Experience -3+ years of experience in the following -Strong programming ability in both scripting and object-oriented programming languages is required (python) -Strong working knowledge in Deep learning and ML Algorithms. -Strong working knowledge in Tensor Flow, Sci-kit Learn, KERAS, Caffe, Pandas, NumPy, PyTorch, Matplotli -Knowledge in Natural language processing (NLP) & Deep Learning is required. -Software Design & Development - OOPS/OOAD methodologies Job Types: Full-time, Permanent Benefits: Health insurance Schedule: Day shift Monday to Friday Application Question(s): what is your Notice Period (days)? Experience: Machine learning: 2 years (Required) Gen AI: 1 year (Preferred) Work Location: In person

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.

Job Title: Fullstack Engineer – AI Product Development Location: Work From Office Job Type: Full-time Industry: Artificial Intelligence / Software Development About the Role We are building a new AI-driven product from the ground up and are looking for a Fullstack Engineer who is passionate about innovation, prototyping, and product development. As the Fullstack Engineer, you will play a critical role in shaping the product's technical direction and architecture. This is a hands-on individual contributor role, with the added responsibility of mentoring and managing junior Engineers as the team grows. You’ll be working directly with the founders and product stakeholders to develop Proof of Concepts (POCs), define the tech stack, and take the product through all stages of the Software Development Life Cycle (SDLC) — from ideation and experimentation to deployment and scaling. Key Responsibilities * Design, build, and iterate on POCs for new AI-powered product features * Lead end-to-end development of scalable web applications (frontend and backend) * Collaborate with product and AI/ML teams to integrate APIs and machine learning models * Make strategic decisions around architecture, tooling, and infrastructure * Deploy, monitor, and maintain applications in production environments * Define coding standards, documentation practices, and development workflows * Mentor and oversee junior engineers as the team expands * Own the full SDLC: requirements, design, implementation, testing, deployment, and maintenance Required Skills and Experience * Strong experience in fullstack development * Proven track record of building and deploying web applications * Experience working on AI/ML product POCs, model integration, or API-based ML services * Strong understanding of RESTful APIs, JSON, and modern frontend frameworks (React, Angular, or Vue) * Solid grasp of frontend & backend technologies * Familiarity with DevOps practices (CI/CD, Docker, cloud services like AWS/GCP/Azure) * Ability to quickly prototype and iterate in a fast-paced environment * Strong problem-solving skills and startup mindset * Leadership experience or potential to mentor and manage a small team Nice to Have * Experience with MLOps or ML model lifecycle * Familiarity with LLMs, vector databases, or AI service platforms (OpenAI, HuggingFace, Pinecone, etc.) * Exposure to data engineering and data pipeline design * Previous experience in a startup or product development from scratch Why Join Us? * Be a founding engineer on a product with exciting potential * Work at the intersection of AI, product innovation, and software engineering * Build and shape the tech stack, processes, and team culture from day one

About the Role: We are looking for a dynamic AI & Software Engineer to join our Transformation & AI team. This role is ideal for someone passionate about bringing the power of AI into real-world business problems.You will be responsible for leading the implementation of AI solutions using Microsoft’s Azure ecosystem, including Azure OpenAI, Copilot frameworks, and Microsoft 365 integrations.The ideal candidate is hands-on, thrives in ambiguity, and can rapidly translate business challenges into technical solutions, excited about prototyping AI agents, building quick PoCs, and shaping strategic AI initiatives. Key Responsibilities: • Lead the design and development of AI solutions using Azure AI services, includingAzure OpenAI, Cognitive Services, Azure Machine Learning, and Microsoft CopilotSDKs. • Work closely with business stakeholders to identify high-impact opportunities forAI-driven transformation across back-office operations. • Build, test, and iterate on proof-of-concepts (PoCs) and pilots that solve realbusiness problems quickly. • Integrate AI agents and copilots into existing business workflows using MicrosoftPower Platform, Graph API, and Teams/365 ecosystem. • Collaborate with business and software engineering teams to productionizesuccessful PoCs and ensure adherence to full Software Development Lifecycle(SDLC) practices. • Stay on top of the evolving AI/ML landscape, especially within Microsoft’s AIecosystem, and bring new ideas into the organization. Qualifications : • Bachelor’s or Master’s degree in Computer Science, Software Engineering, DataScience, or a related field. • 6+ years of experience in software development, with at least 3+ years focusedon AI/ML solutions. • Proven experience with Azure AI services (Azure OpenAI, Cognitive Services, AzureML). • Hands-on experience building copilots or intelligent agents using Microsoft 365Copilot SDK, Teams Toolkit, or Power Platform. • Hands-on experience on Azure Cloud Services such as FunctionApps, LogicApps,AppServices, and CosmosDB. • Strong programming skills in Python, C#, or JavaScript/TypeScript. • Experience working within Agile SDLC processes, with a deep understanding of bestpractices for scalable software delivery. • Familiarity with DevOps practices and CI/CD pipelines on Azure DevOps or GitHubActions. • Excellent problem-solving skills and strong communication and collaboration skillsto effectively work with technical and non-technical stakeholders.• Hands-on experience with Salesforce integration and RPA tools – UI Path, PowerAutomate etc. Preferred Skills: • Azure cloud certification. • Experience with Power Automate and familiarity with Process Automation tools. • Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g.,Azure Cognitive Search, Pinecone, or Qdrant). • Knowledge and/or experience with LLM frameworks for building Agentic AI like -LangChain, CrewAI, n8n etc. • Experience integrating LLMs into business process workflows and chat-based UI(Teams, Power Apps, etc.). • Exposure to enterprise business processes in operations, finance, HR, or legalfunctions. • Prior experience in building citizen-developer enablement or AI CoE initiatives is astrong plus.

AI/ML Lead Must-Have Skills: 6–8 years of overall experience, including 5+ years in AI/ML or Conversational AI Deep hands-on knowledge of: Azure OpenAI services and APIs Copilot Studio for building Microsoft 365-integrated assistants Microsoft Bot Framework SDK/Composer for chatbot development Prompt engineering for LLM optimization Strong Python or Node.js development skills (for AI orchestration and integration) Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: Experience with Semantic Kernel or LangChain Working knowledge of AI Foundry for orchestrating AI pipelines Familiarity with Copilot extensibility and Teams App Studio Exposure to M365 Copilot APIs and custom plugin creation Knowledge of Responsible AI, data security, and compliance principles Familiarity with containerized deployment (Docker, Kubernetes) Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI

Position Overview: We're looking for a passionate Backend Developer to help scale our AI-powered career guidance platform. You'll play a critical role in designing and enhancing our microservices architecture, optimising data workflows, and contributing to a seamless, intelligent user experience. If you're excited by solving meaningful problems in a dynamic SaaS environment, this role is for you. Key Responsibilities: Design and implement robust, scalable microservices using web frameworks. Build reusable code libraries to enhance efficiency and maintainability. Optimize database performance and data modelling for a high-volume SaaS application. Participate in code reviews, ensuring code quality and alignment with best practices. Troubleshoot and resolve complex production issues within a distributed architecture. Collaborate across teams to define APIs and ensure seamless integration. Actively contribute ideas to improve our technology, algorithms,and product offerings. Provide code documentation and other inputs to technical documents. Required Skills & Experience: 3+ years of hands-on experience in backend development. Strong experience in Python (preferred) or other Object-Oriented Programming languages (e.g., Java, php), with proficiency in relevant web frameworks Solid understanding of microservices architecture and design patterns. Proficiency with relational databases (e.g., PostgreSQL, MySQL) and familiarity with NoSQL databases like MongoDB and Elasticsearch. Working knowledge of AWS cloud platform and related services. Experience with LLM integrations (e.g., OpenAI, Anthropic) and Agentic workflows is a strong plus. Experience in a product-based tech startup environment is a bonus. Desired Attributes: Ability to obtain in-depth understanding of complex systems and execute improvements at architecture level. Taking ownership of large projects and collaborating effectively across teams within stringent time frames. Passion for solving challenging problems and delivering high-quality solutions. Education: B.E / B.Tech / M.E / M.Tech / MCA from tier-1/2 institutes

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Title: Business Title: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Role: NLP Engineer Location- Hybrid (Gurgaon) JOB DESCRIPTION Mandate skills : NLP experience min 2years experience Familiarity with any of agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Good to Have : Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Job Description : Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. · 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting · Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. · Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). · Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). · Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. · Experience with prompt engineering and chaining LLM calls into workflows. · Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. · Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have · Knowledge of Python and working with AI SDKs. Qualifications: · Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. · 2/3+ years of experience in natural language processing or a related field. · Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. · Experience with text preprocessing techniques and tools. · Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . · Excellent problem-solving skills and attention to detail. · Strong communication skills and the ability to work collaboratively in a team environment

The Data Tech Labs is Hiring - AI-Focused Full Stack Engineer Location - Pune (100% Onsite) Experience - 3+ years Share profile - suyash.verma@tdtl.world Responsibilities - Collaborate with product managers, designers, and domain engineers to build AI-enhanced features - Rapidly prototype AI tools, services, and integrations (e.g., OpenAI, LangChain) - Design and implement full-stack solutions (frontend, backend, APIs, databases) - Integrate vector databases and prompt-based systems for intelligent UX - Contribute to code reviews, architecture decisions, and agile ceremonies - Document AI feature development, integration steps, and technical designs Required Skills & Experience - 3+ years of full-stack software development experience - Proficiency in Python, JavaScript/Node.js, React or similar frontend frameworks - Hands-on experience with AI/ML frameworks and APIs (OpenAI, HuggingFace, LangChain) - Familiarity with vector databases (e.g., Pinecone, Weaviate, Chroma) - Experience with cloud platforms (AWS, GCP, Azure) - Exposure to prompt engineering, RAG architecture, or AI-based UX is a plus - Strong communication and stakeholder engagement skills Good to Have - Experience working in agile, product-driven organizations - Contributions to open-source AI tools or communities - Prior exposure to design automation or generative media tools (e.g., Runway, Midjourney)

Who We Are At Searchlook, we build hardcore AI systems that push what’s possible with LLMs. We don’t follow playbooks. We burn them. We move fast, break things on purpose, and rebuild smarter. We’re not building something bigger—we’re building something ours. If you’ve always known you were meant to lead, build, and win—not someday, but now—this is your shot. ⸻ 🚫 Please Don’t Apply If This Is You (🙏 seriously) We’re building fast and real. There’s no room here for hesitation or half-effort. • You think AI is about theory, not execution. • You’ve only played with OpenAI playgrounds and copied tutorials. • You want easy, predictable work—or think “I did enough” is how innovation happens. • You haven’t built, fine-tuned, or deployed anything real using LLMs. • You still think “I need more time” or “I’ll get to it” is a valid mindset. • You believe onboarding should be comfortable or that startups should “feel nice.” If you’re not obsessed, not dangerous, or not ready—don’t apply. ⸻ ⚡ Apply If This Is You • You want to build something that actually matters—and works. • You hate meetings. We do too. You’ll get a paid 3-month trial, no interviews, no dance. • You’re hungry: 💰 for money—because your models are built, shipped, and useful 🧠 for recognition—because you’re tired of being grouped with the average 🔥 for greatness—because you’re building even when no one’s watching • You don’t want permission. You want a real project and a real shot. If you’ve been waiting for someone to notice—we just did. ⸻ ✅ What We Offer 🌟 For Top Interns & Recent Grads: • Acceleration – Learn fast, build faster, ship sooner. • Mentorship – Work with engineers who win, not just talk. • Top-tier pay – We pay for execution. No excuses. ⸻ 🔧 Your Role ✅ Build and deploy LLM-based systems that solve real problems ✅ Fine-tune and adapt open-source and commercial models for production ✅ Design pipelines that combine RAG, embeddings, agents, and memory ✅ Think in prompts, tokens, latency, and output value ✅ Work under pressure, no fluff, full ownership 🚨 This will be a challenging AI/LLM project. If you’re not ready—don’t apply. ⸻ 🧠 Tech You Must Know (or Learn Fast): • LLMs & Frameworks: OpenAI, Claude, Llama, LangChain, RAG, vector DBs • Deployment: Docker, FastAPI, Flask, Supabase, Vercel, AWS • Data Handling: Pinecone, ChromaDB, Weaviate, FAISS, Postgres • Tooling & Extras: Hugging Face, Ollama, Prompt Engineering, Memory/Agents, Streaming, Multi-turn ⸻ 💬 What to Expect (Our Process. Our Rules.) 1. We contact you—only if you pass the filter. 2. You join a WhatsApp group. We brief you fast: company, stack, salary, tasks. 3. You sign a contract and NDA via DocuSign. 4. You get real projects—and get paid from Day 1. 5. 3-Month Paid Trial: You crush it → you’re in, with promotion + raise. You don’t → you’re out. ⚠️ Show doubt during onboarding? You’re out. Fair. Simple. Clean. ⸻ 🔥 Still here? Still reading? Good. We set the rules. We keep our word. If you’re truly good enough—go prove it. Apply. – The Searchlook Team

Company Overview Bain & Company is one of the top management consulting firms in the world that helps the world’s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. The firm established several functions in the Indian market early 2000s and its remit across functions has expanded over time. Since 2019, these functions have become part of Global Business Services (GBS). Global Business Services (GBS) is a network of five interconnected business-function hubs across India, Poland, Malaysia, Mexico and Portugal, serving Bain globally to run our business, support other functions, and help drive innovation internally. We are over 1000 business professionals – serving functions in operations, HR, finance, legal, tech, marketing, research, and data analytics – who support our offices globally. Our mantra of “shared innovation, seamless execution,” underpinned by a passion for results, teamwork, and creativity, helps Bain stay at the top of our game operationally. Team Summary This position works as a member of Bain’s Software Development group directly supervising and supporting the external/internal engineers on multiple software products part of our Software Operations team. Individuals in this role would also be responsible for defining the on-going technical roadmap with product owners for the software systems supported by the team and influencing the choice of technologies and frameworks implemented by the engineers. Position Summary: Technical Delivery (50%) Hands-on approach with a natural inclination to get directly involved in coding whenever the situation demands. Manage vendor and stakeholder relationships to ensure strong external partnerships and delivery accountability. Lead a team developing and updating applications Lead the planning, testing and implementation of all production releases. Coordinate production releases between teams across the products. Work with System/ Solutions Architects, Data Architect, Engineering Managers and engineering team members for the configuration and implementation of DevOps and Continues Integration. Encourage DevOps mindset within the engineering team and facilitates lean production, continuous integration and continuous deployment while working with the System/ Solutions Architects and engineering team members. Support the team in the evaluation and selection process of the 3rd part components/libraries/ tools together with the Systems Architect and Data Architect. Provide ongoing support for applications already in use. This includes problem diagnosis and resolution, ad hoc reporting support and database administration. Provide frequent updates regarding development issues to the TSG leadership and other groups as appropriate. Participate in product level Steering Committee meetings as appropriate. Provide technical leadership and facilitates cross-team communication across multiple product teams. Ensure the proposed technical approaches meet the functional requirements and are in coordination with similar activities across the other product teams. Provide guidance to the team determining the need for new technologies based on the product backlog. Hands-on experience with AI code assist tools and AI/ML technologies, and be able to advocate for their use to accelerate time-to-market and enable rapid prototyping. Team management (25%) Oversee and guide direct reports across external vendor and internal development teams, ensuring they remain focused on the projects they support. Additionally, responsible for the professional development and career progression of internal developers, if applicable. Participate in hiring of developers/ engineering team members. Support individual team members and provide technical input and mentorship to help the team deliver current work in the sprint. Assess and help them improve their engineering practices. Coach teams and individuals on their understanding of best development practices by improving their interactions and ensuring they have the right process and tools for their success. Promote practices which help with incremental delivery and continuous integration and remove any blockers from achieving incremental delivery. Strategy, planning and technology leadership (25%) Establish and maintain key delivery, quality, and vendor performance metrics across multiple small product teams; regularly report progress, risks, and vendor relationship health to technical leadership on a regular cadence. Improving delivery metrics like velocity, responsiveness, predictability and quality as per the process adopted. Plan and prioritize tasks across multiple teams, managing risks and dependencies to deliver products on time and within budget. Advise business and technology partners on technology solutions leveraging emerging technologies and on mitigation of disruption risk. Prepare and maintain the long-term technology roadmap for the products based on the product vision. Work with the Product Owner, System Architect, Data Architect, Engineering manager and engineering team members for its implementation. Knowledge, Skills & Abilities Software Engineering - technical skills: Frameworks: .NET & .NET Core Languages: C#, T-SQL, Python Web frameworks/ Lib: Angular/React, JavaScript, HTML, CSS, Bootstrap, RESTful APIs, GraphQL, etc. Message Brokers/Event Streaming: RabbitMQ, Kafka, Azure Service Bus. RDBMS: Microsoft SQL Server Cloud: Microsoft Azure Services, Azure Functions, AWS Lambda Unit testing: XUnit, Jasmine, etc. DevOps: GitActions, Docker, Kubernetes, Terraform, ARM Templates Search engine: Elasticsearch, Coveo, etc. NoSQL databases: MongoDB, Cosmos, etc. Caching: Redis, MemCache, etc. AI & ML: Azure Cognitive Services, OpenAI APIs Code Assist & AI Productivity Tools: Cursor, Replit, GitHub Copilot, etc. Experience: 8-10 years of experience in software development including work on all aspects of the development life cycle Proven track record of great communication management, firm focus and conflict resolution. Proven track record of keeping stakeholders always aligned which include product and technical leadership. Hands-on experience using AI-based code assistants (e.g., GitHub Copilot, Cursor, Replit AI) to boost productivity and code quality. Understanding of integrating AI/ML capabilities in applications and familiarity with cloud-based AI services. Good understanding of Object-Oriented Design principles, MVC architecture, web-services, Restful APIs and design patterns Solid understanding of Agile Methodology with experience in managing sprints and user stories while using tools such as VSTS, Jira, etc. Experience architecting applications and working on enterprise-wide systems Experience leading technical teams on small to medium size projects Strong communication, time management and customer service skills High performance and standards as demonstrated by academic and previous job experience.

Job Description KollegeApply is dedicated to empowering students to make informed decisions about their college, course, and career path. From college rankings to counselling support and admission updates, we simplify every step of the higher education journey, ensuring students make data-driven decisions and truly belong. Key Responsibilities Design and implement LLM architectures and AI pipelines using tools like OpenAI, LangChain, Rasa, or custom stacks Build and fine-tune intelligent conversational agents and chatbots that handle complex, multi-turn queries Develop retrieval-augmented generation (RAG) systems using vector databases (Pinecone, ChromaDB, Weaviate, etc.) Integrate structured datasets and APIs into context-aware, data-grounded AI responses Write robust backend services using Node.js or Python, with clean, modular architecture Collaborate with design, product, and data teams to bring scalable AI-powered features to life Stay current with advancements in LLM research, embedding models, and agentic AI Required Qualifications 3+ years of experience working as an AI/ML Engineer. M.Tech/M.S. in Artificial Intelligence, Machine Learning, Data Science, NLP, or a related specialization Strong experience in building and deploying LLM-powered applications or architectures Deep knowledge of LLM frameworks (OpenAI API, LangChain, Transformers, Hugging Face, etc.) Proficiency with Python or Node.js, REST APIs, and scalable system design Familiarity with vector stores and embedding pipelines (e.g., Pinecone, FAISS, ChromaDB) Bonus if you have a hands-on experience building production-grade AI chatbots or agents Bonus if you have an experience with cloud platforms (Render, Vercel, Railway, or Firebase) Preferred : Background from Tier-1 institutions (IITs, IISc, IIITs, NITs, etc.) What We Offer Opportunity to lead AI innovation in a mission-driven, fast-growing product Hands-on experience with real-world NLP applications and next-gen chatbot systems Collaborative, remote-friendly team environment with ownership-driven roles Competitive compensation + performance-based incentives Work on meaningful AI solutions with direct user impact (ref:hirist.tech)

About Inclusive Minds Inclusive Minds is a political consultancy for the Indian National Congress (INC), where strategic insight meets effective campaigning. With a proven track record of navigating the complexities of Indian politics, we offer tailored solutions to empower INC candidates and the party overall in achieving their electoral goals, our successful projects being Karnataka and Telangana state elections- 2023. At Inclusive Minds, we aspire to collaborate with like-minded individuals to find common ground on the most important issues and elevate them into positions where they design and implement data-driven 360-degree election campaigns that affect social change and public policies. About The Role We are looking for a dynamic Data Scientist/Data Analyst to join our team and contribute to transforming raw data into actionable insights that influence political strategies and decision-making processes. Required Skills Analytical Aptitude : Knowledge of statistics, mathematical modelling, pattern recognition and problem solving. Data Manipulation & Visualisation : Excel, Python, SQL and Power BI. Machine Learning : Familiarity with basic machine learning techniques for forecasting, clustering, etc. Big Data Tools : Exposure to Hadoop, Spark, or similar technologies. Natural Language Processing (NLP) : Experience with libraries like NLTK, spaCy, or Hugging Face. Communication skills : Clear communication, stakeholder/team management. Desired Qualification And Experience Experience Level : Mid : 2-5 Years, Senior : 5-7 Years Experience with GenAI- Building end to end small scale GenAI projects- Langgraph, openai, hugging face, ollama, sloth, bitsandbytes etc.. Experience with any backend framework like FastAPI, Uvicorn, etc Experience with any frontend frameworks like Flask, Django, React, etc (ref:hirist.tech)

Role Overview We are seeking a senior generative AI developer with expertise in building and deploying AI models. This role focuses on generative AI, LLMs (e.g., GPT models), and the retrieval-augmented generation (RAG) method. The ideal candidate will have hands-on experience with OpenAI APIs, prompt engineering, and full-stack development of AI-powered solutions. You will lead initiatives in building scalable AI-driven applications and collaborate with cross-functional teams to design, implement, and optimize these solutions for real-world use cases. Key Responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. (ref:hirist.tech)

Job Title : Product Owner / Product Manager Generative AI & Prompt : : CyePro : 3+ Type : CyePro Solutions : CyePro Solutions Is An Innovation-driven Product Company Based In Hyderabad. We Specialize In Building Smart, Scalable, And AI-powered Solutions That Empower Digital Transformation Across Industries. Our Mission Is To Develop Intuitive And Intelligent Platforms Using The Latest In Generative AI, SaaS, And Automation Overview We are looking for a highly motivated Product Owner / Product Manager with a strong interest in Generative AI, Prompt Engineering, and a solid grasp of technical concepts and product design tools like Figma. In this role, you will take ownership of developing AI-native products by combining business acumen, product vision, and hands-on collaboration with engineering and design teams. This is a strategic and execution-heavy role ideal for someone who understands AI product behaviour, UI/UX flows, and agile product Responsibilities : Define the vision and roadmap for AI-powered products, translating ideas into clear deliverables. Collaborate with stakeholders to understand business needs and develop user-centric solutions. Design and fine-tune prompts for large language models (LLMs) like GPT, Claude, or Gemini. Convert requirements into product specs, wireframes, and user stories using tools like Figma. Work closely with UI/UX designers to review user journeys and ensure intuitive product experiences. Collaborate with developers and data scientists to shape technically feasible and scalable features. Manage and prioritize the product backlog and lead sprint planning in an Agile environment. Conduct user testing and gather feedback to drive continuous improvement. Monitor performance of AI features through KPIs like output relevance, latency, and user Skills & Qualifications : Bachelor's or Masters in Computer Science, Engineering, Business, or a related field. 3+ years of experience in product management, business analysis, or related roles. Working knowledge of Figma and ability to participate in UI/UX design discussions. Strong understanding or practical exposure to LLMs, Generative AI tools (ChatGPT, Claude, Gemini, etc.), and API integrations. Comfortable with technical concepts, including understanding developer terminology, APIs, and basic workflows. Strong communication and stakeholder management skills. Experience with Agile tools like JIRA, Confluence, Notion, or (Bonus) Skills : Familiarity with OpenAI APIs, LangChain, vector databases, or similar AI development tools. Understanding of basic programming logic (e.g., Python, JavaScript) or experience working with development teams. Experience with SaaS, B2B, or enterprise-grade software platforms. Exposure to data visualization, analytics tools, or performance dashboards. Hands-on involvement in UI/UX prototyping or wireframing. (ref:hirist.tech)

About Wellnite: Wellnite is reimagining mental healthcare through cutting-edge technology. Our mission is to make high-quality mental health support universally accessible by combining licensed care, innovative AI tools, and seamless digital experiences. Our newest focus is on scaling our AI-powered SuperCoach —a mobile companion that helps users manage their mental health through personalized, intelligent support. We’re looking for a Product Manager who thrives at the intersection of mobile UX, AI, and product-led growth. Your role will be to lead the development and distribution strategy of our AI mobile app—ensuring it reaches the right users, delivers meaningful outcomes, and drives continuous engagement. What You’ll Do: Drive distribution strategy across app stores, web, Slack, and B2B partnerships to expand access and visibility. Work closely with engineering, design, and AI teams to deliver features that feel magical, human, and clinically informed. Collaborate with marketing and growth teams to optimize onboarding flows, referral mechanics, and in-app engagement loops. Define and track success metrics across acquisition, usage, conversion, and feedback. Conduct user research and usability testing to inform product decisions and prioritize what matters most. Launch experiments to drive app adoption and deepen daily usage, while ensuring compliance with privacy and healthcare regulations (HIPAA, COPPA, GDPR). Explore integrations with Slack, employer benefits platforms, and third-party health tools to extend SuperCoach’s reach. Help position Wellnite’s mobile experience as a category-defining mental health solution for individuals and organizations. Who You Are: 3+ years of product management experience, ideally in mobile apps, digital health, or AI-driven consumer tools. You’ve successfully shipped and scaled mobile products with measurable user growth and engagement. Deep understanding of product-led growth principles, mobile UX best practices, and app store optimization (ASO). You’re data-savvy—comfortable setting KPIs, using analytics tools, and iterating based on user behavior. Strong communicator and cross-functional collaborator who thrives in fast-moving, startup environments. You have a genuine interest in mental health, wellness, and the power of AI to empower people. Bonus points for: Experience integrating AI/LLMs (e.g., OpenAI, voice AI, sentiment analysis) Launching apps across multiple geographies and regulatory environments Prior work in B2B2C environments or partnerships (e.g., benefits platforms, Slack apps) Why Wellnite: Help build the future of mental health with purpose-driven teammates Work on a product that blends AI, clinical care, and delightful UX Work from home with a collaborative, transparent culture Influence product and strategy decisions from day one

Our Company: At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do: In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product. Job Responsibilities: Contribute to the design and development of software components that enable autonomous AI agents to reason, plan, act, and learn. Implement features that support agentic capabilities such as tool use, memory, long-term planning, task execution, and self-reflection. Integrate with state-of-the-art LLMs (e. g. , OpenAI, Anthropic) and agent orchestration frameworks (e. g. , LangChain, CrewAI, AutoGen). Write, test, and debug Python or other backend code that powers agent workflows in cloud-native environments. Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications. Participate in Agile development workflows — sprint planning, code reviews, retrospectives — and collaborate across AI, product, and engineering teams. Work with structured and unstructured data to support context-aware reasoning and decision-making in agents. Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors. Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP). Maintain documentation of agent capabilities, system design, and integration strategies. What makes you a qualified candidate: 1–3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications. Strong interest in Agentic AI — systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes. Familiarity with one or more programming languages: Python (preferred), Go, Java, or C++. Exposure to LLMs and AI APIs (e. g. , OpenAI, Hugging Face, Claude) and understanding of prompting, embeddings, or vector databases. Basic understanding of how AI agents use tools and memory to solve complex tasks. Experience with RESTful APIs, backend service design, and microservice architectures. Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications. Ability to write clean, testable code and follow best practices in code reviews and version control. Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams. Passion for learning emerging AI techniques and contributing to real-world agentic applications. What you will bring: BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field. Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming. Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker. Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools. Curiosity and excitement about building intelligent systems that act autonomously and adaptively. A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities. Why we think you will love Teradata: We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Join us as a Data Scientist Are you ready to embark on an exciting journey of discovery, insights and innovation in the data science space? You’ll be working at the intersection of analytics and engineering to uncover valuable insights hidden within our data With an abundance of data at your fingertips along with cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work If you have the desire and tenacity to embark on a steep learning curve in an exciting and rapidly evolving field, apply now We're offering this role at associate vice president level What you'll do As a Data Scientist, you’ll combine human insight and perspective with modern data science tools to gain an unparalleled understanding of our customers, and far more powerful predictive targeting and modelling. Day To Day, You’ll Be Working closely with your stakeholders to understand their needs, define pain points, and identify opportunities to solve them through advanced analytics Developing hypotheses and articulating what data needs to be collected, which analyses to run, and the approach that will deliver the most value Using predictive analytics and artificial intelligence (AI) to extract insights from big data, including machine learning (ML) models, natural language processing (NLP), and deep learning (DL) Building, training and monitoring ML models and writing programs that automate data collection, data processing, model building and model deployment Bringing solutions and opportunities to life through Clearly conveying the meaning of results, bringing them to life through impactful data visualisation and storytelling Providing actionable insights to decision-makers and stakeholders at every level of technical understanding The skills you'll need If you have an aptitude for advanced mathematics and statistics and you're curious about the evolving role of data in shaping the next generation of financial services, this could be the job for you. You’ll Demonstrate Strong programming skills in Python and SQL, with a solid foundation in statistics, machine learning, data preprocessing, and data visualization using tools like Matplotlib, Seaborn, and Plotly Hands-on experience with large language models like OpenAI, Hugging Face, prompt engineering, and familiarity with agentic frameworks such as LangChain or AutoGen Skilled in deploying models and working with cloud platforms like AWS, GCP, or Azure, with strong analytical thinking and the ability to communicate insights effectively Knowledge of statistical modelling and ML techniques Proficiency in Tableau or another data visualisation tool

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Location: Noida / Indore Company: Team Geek Solutions Experience Required: 7–10 Years Qualification: Bachelor’s or Master’s in Computer Science & Engineering About Team Geek Solutions At Team Geek Solutions, we are innovators driven by cutting-edge technology. Our mission is to solve real-world problems using scalable backend systems and next-gen AI. We believe in a collaborative, forward-thinking culture where every engineer plays a pivotal role in building impactful products. Join us if you're ready to lead with purpose and innovate with passion. Position Overview We are looking for a highly skilled Lead Backend Engineer with strong command over Java/Python and a deep understanding of GenAI and Large Language Models (LLMs) . You will lead a team of developers and data scientists to build scalable backend architectures and AI-driven solutions, pushing the boundaries of what’s possible with today’s AI capabilities. Key Responsibilities Lead and mentor a team of backend and AI engineers. Architect and develop robust backend solutions using Java and Python. Solve complex problems using structured and unstructured data. Apply state-of-the-art LLMs (e.g. OpenAI, HuggingFace models) and build solutions using LangChain, Transformer models, and PyTorch. Implement techniques like Retrieval-Augmented Generation (RAG) to improve performance and capabilities of LLM-based systems. Own the development of end-to-end ML pipelines including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaborate with business and product teams to identify use cases and deliver AI-powered solutions. Stay updated with the latest advancements in AI and integrate best practices into development workflows. Required Skills Proficiency in Java and Python with hands-on experience in both. Solid understanding of Data Structures & Algorithms. Deep experience in Transformer-based models, LLM fine-tuning, and deployment. Hands-on with PyTorch, LangChain, and Python web frameworks (e.g., Flask, FastAPI). Strong database skills with SQL. Experience in deploying and managing ML models in production environments. Leadership experience managing small to mid-sized engineering teams. Preferred / Good-to-Have Skills Experience with LLMOps tools and techniques. Exposure to cloud platforms (AWS/GCP/Azure) for model deployment. Strong written and verbal communication skills for technical and non-technical audiences. Passion for innovation and building AI-first products. Skills: algorithms,langchain,pytorch,sql,flask,transformer-based models,ml,java,llm fine-tuning,fastapi,data structures,models,data,mlops,python