1908 Openai Jobs - Page 36

Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies. Key Responsibilities Assist in the development, training, and evaluation of machine learning and deep learning models. Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases. Work with datasets: collection, preprocessing, augmentation, and analysis. Participate in model optimization, deployment (e.g., via APIs), and performance monitoring. Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. Required Skills Strong understanding of machine learning, deep learning, and generative AI concepts. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Exposure to NLP techniques and transformer models (e.g., GPT, BERT). Basic understanding of model training, evaluation metrics, and deployment pipelines. Knowledge of data preprocessing, cleaning, and visualization techniques. Strong hands-on experience in working with SQL databases. Good To Have Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.). Familiarity with LangChain, LlamaIndex, or other LLM frameworks. Experience working with Hugging Face, OpenAI, or similar APIs. Understanding of prompt engineering and fine-tuning strategies. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC). Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects. Qualification Education : B.Tech M.Tech or MCA 1-2 years of professional or academic project experience in AI/ML. Preferably should have done some certification / courses / Formal training Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc. Experience in building end-to-end ML and/or AI and/or Generative AI projects. Excellent Communication skills oral and written Should have the mindset to work in a startup culture. (ref:hirist.tech) Show more Show less

The Role The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking : Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best : Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills : Languages & Frameworks : Proficiency in Python, PyTorch, TensorFlow, JAX (ref:hirist.tech) Show more Show less

Job Title: Practical Front-End Developer (Founder's Team | Full-Time) Location: Mumbai (Multiple Offices) | Full-Time | Onsite/Hybrid Team: Business Development & Marketing (Working directly with Founder) About the Role We’re looking for a practical and hands-on Front-End Developer to join us full-time as part of the founding team. This is not just a coding role — it's a creative and strategic position where you'll be building the front-facing layers of a range of projects alongside the founder. You’ll work closely on business development, marketing initiatives, and AI-integrated solutions across websites, products, and digital experiences. What You’ll Do Build, maintain, and optimize front-end interfaces for web platforms Work with WordPress, custom HTML/CSS/JS, and modern frameworks as needed Collaborate with design, marketing, and AI teams to bring user-facing features to life Integrate AI tools and APIs into functional user interfaces Assist with landing pages, campaign microsites, and data visualization for the BD team Contribute to UI/UX ideas, growth-focused experiments, and product feedback Handle integrations with tools like Zapier, Webflow, Figma, Notion, etc. if required What We’re Looking For Strong practical experience in front-end development (HTML, CSS, JS, Bootstrap, React or similar) Good working knowledge of WordPress and custom themes/plugins Bonus: Familiarity with AI tools, OpenAI APIs, or similar integrations Ability to quickly learn new software and adapt to fast-moving projects Interest in business development, marketing, and startup culture Comfortable working with minimal handholding and directly with the founder Why Join Us Be part of the core founding team working across multiple exciting projects Exposure to AI-powered tools, hospitality tech, and creative digital builds Flexible, impact-driven environment with direct mentorship and trust Opportunity to grow into a product/tech lead role as the company scales

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure OpenAI Service, Java Full Stack Development Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating innovative solutions to address various business needs and ensuring seamless application functionality. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the team in implementing cutting-edge technologies - Conduct regular code reviews and provide constructive feedback - Stay updated on industry trends and best practices Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure OpenAI Service, Java Full Stack Development - Strong understanding of cloud computing principles - Experience in developing scalable and secure applications - Knowledge of DevOps practices and tools - Familiarity with agile methodologies Additional Information: - The candidate should have a minimum of 5 years of experience in Microsoft Azure OpenAI Service. - This position is based at our Pune office. - A 15 years full time education is required. Show more Show less

Roles : Service Now UI Developers Note : No Admin or ITMS/CMDB candidates, the candidates have to be developers and have strong Service Now development experience. Any Agentic knowledge is a plus. Location : Hyderabad Key Responsibilities: Lead the design and development of scalable applications and ServiceNow solutions. Collaborate with stakeholders to define technical requirements and architectural decisions. Guide and mentor development teams, fostering best practices in clean code, design patterns, and secure coding. Perform code reviews and provide constructive feedback to ensure quality and consistency. Drive DevOps practices such as CI/CD, automated testing, and deployment pipelines. Oversee integrations between ServiceNow and other enterprise systems. Lead and contribute to AI/ML initiatives , including integrating AI services into existing platforms and developing intelligent automation solutions. Ensure performance, security, and compliance standards are met. Stay updated with emerging technologies and trends to inform future development. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8+ years of experience in software development, with 2+ years in a lead or senior role. Proven experience with ServiceNow development (Workflows, Catalogs, IntegrationHub, CMDB, etc.). Strong knowledge of JavaScript (ES6+) and ServiceNow scripting APIs. Solid understanding of DevOps principles , including containerization (Docker), CI/CD tools (e.g., Jenkins, GitHub Actions), and Infrastructure as Code. Experience in software design, architecture, and leading development teams. Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, OpenAI, Azure Cognitive Services, etc.). Expertise in various architectural models, including domain-driven design, microservices-architecture, event-driven-architecture, and micro-frontend-architecture. Excellent communication skills and the ability to collaborate across cross-functional teams. Preferred Qualifications: ServiceNow certifications (CSA, CAD, CIS-ITSM, etc.). Experience with other modern web technologies (e.g., React, Node.js). Familiarity with agile/scrum methodologies. Experience implementing AI-driven workflows or chatbots within enterprise platforms. Thanks and Regards Mani - Team Lead HR Recruiter Email: mani.t@infowaygroup.com Cell: +91-9513618504 WhatsApp: +91-9513618504 Info Way Solutions LLC “Email is the best way to reach me” Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹1,408,910.62 - ₹1,536,143.23 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Morning shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: Software development: 8 years (Preferred) lead or senior: 2 years (Preferred) ServiceNow development: 5 years (Preferred) JavaScript: 4 years (Preferred) DevOps principles: 5 years (Preferred) AI/ML tools and frameworks: 4 years (Preferred) React: 5 years (Preferred) Node.js: 4 years (Preferred) License/Certification: ServiceNow certifications (Preferred) Work Location: In person

Job Description Roles & responsibilities Here are some of the key responsibilities of manager in Gen AI and ML Specialist : Team Management: You will be responsible for managing a team of AI and ML specialists, providing guidance, support, and mentoring to ensure their professional growth and development. Project Management: You will oversee the planning, execution, and delivery of AI and ML projects, ensuring that they are completed within budget and timeline constraints. This includes defining project goals, allocating resources, and managing risks. Strategy Development: You will collaborate with senior management to define the AI and ML strategy for the organization, identifying areas where AI and ML technologies can be applied to drive business growth and efficiency. Technical Expertise: As a manager, you should have a deep understanding of AI and ML technologies, algorithms, and frameworks. You will provide technical guidance to your team, review their work, and ensure that the best practices and industry standards are followed. Stakeholder Management: You will collaborate with various stakeholders, such as business leaders, product managers, and data scientists, to understand their requirements and translate them into AI and ML solutions. Effective communication and relationship-building skills are crucial for successful stakeholder management. Talent Acquisition: You may be involved in the recruitment and hiring process, identifying and attracting top AI and ML talent to join your team. This includes conducting interviews, evaluating candidates' technical skills, and assessing their fit within the organization. Continuous Learning: AI and ML technologies are rapidly evolving fields, and as a manager, you should stay updated with the latest advancements and industry trends. You should encourage continuous learning within your team and promote a culture of innovation and knowledge sharing. Performance Evaluation: You will be responsible for evaluating the performance of your team members, providing constructive feedback, and identifying areas for improvement. You may also be involved in performance appraisals and career development discussions. Collaboration and Cross-functional Coordination: AI and ML projects often require collaboration with other teams, such as data engineering, software development, and business analytics. You will need to coordinate with these teams to ensure smooth integration and deployment of AI and ML solutions. Ethics and Compliance: AI and ML technologies raise ethical and legal considerations. As a manager, you should ensure that your team adheres to ethical guidelines and complies with relevant regulations, such as data privacy and security laws. Overall, your role as a Gen AI and ML Specialist Manager is to lead and guide your team in leveraging AI and ML technologies to solve complex problems, drive innovation, and deliver value to the organization. Mandatory technical & functional skills The ideal candidate will have a strong background in natural language processing (NLP), Gen AI, deep learning, and machine learning. This role will be instrumental in designing, developing, and implementing AI models for a variety of generative tasks, working in a cross-functional team. Proficiency in Python or R and machine learning frameworks like TensorFlow or PyTorch is crucial. Cloud computing experience, particularly with Google/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Azure (Synapse) In depth knowledge on ML and NLP algorithms, LLMs ( BERT, GEPT, etc.) and also hands-on LangChain/LangGraph/LangSmith or LlamaIndex or LlamaCloud, OpenAI LLM Libraries, Vector DBs (Chroma DB, FAISS, etc) Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders Preferred Technical & Functional Skills Experience in solutioning and delivering enterprise level AI/ML projects Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models (PALM2, GPT4, LLAMA etc ) or SLM’s Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs #KGS Responsibilities Roles & responsibilities Here are some of the key responsibilities of manager in Gen AI and ML Specialist : Team Management: You will be responsible for managing a team of AI and ML specialists, providing guidance, support, and mentoring to ensure their professional growth and development. Project Management: You will oversee the planning, execution, and delivery of AI and ML projects, ensuring that they are completed within budget and timeline constraints. This includes defining project goals, allocating resources, and managing risks. Strategy Development: You will collaborate with senior management to define the AI and ML strategy for the organization, identifying areas where AI and ML technologies can be applied to drive business growth and efficiency. Technical Expertise: As a manager, you should have a deep understanding of AI and ML technologies, algorithms, and frameworks. You will provide technical guidance to your team, review their work, and ensure that the best practices and industry standards are followed. Stakeholder Management: You will collaborate with various stakeholders, such as business leaders, product managers, and data scientists, to understand their requirements and translate them into AI and ML solutions. Effective communication and relationship-building skills are crucial for successful stakeholder management. Talent Acquisition: You may be involved in the recruitment and hiring process, identifying and attracting top AI and ML talent to join your team. This includes conducting interviews, evaluating candidates' technical skills, and assessing their fit within the organization. Continuous Learning: AI and ML technologies are rapidly evolving fields, and as a manager, you should stay updated with the latest advancements and industry trends. You should encourage continuous learning within your team and promote a culture of innovation and knowledge sharing. Performance Evaluation: You will be responsible for evaluating the performance of your team members, providing constructive feedback, and identifying areas for improvement. You may also be involved in performance appraisals and career development discussions. Collaboration and Cross-functional Coordination: AI and ML projects often require collaboration with other teams, such as data engineering, software development, and business analytics. You will need to coordinate with these teams to ensure smooth integration and deployment of AI and ML solutions. Ethics and Compliance: AI and ML technologies raise ethical and legal considerations. As a manager, you should ensure that your team adheres to ethical guidelines and complies with relevant regulations, such as data privacy and security laws. Overall, your role as a Gen AI and ML Specialist Manager is to lead and guide your team in leveraging AI and ML technologies to solve complex problems, drive innovation, and deliver value to the organization. Mandatory technical & functional skills The ideal candidate will have a strong background in natural language processing (NLP), Gen AI, deep learning, and machine learning. This role will be instrumental in designing, developing, and implementing AI models for a variety of generative tasks, working in a cross-functional team. Proficiency in Python or R and machine learning frameworks like TensorFlow or PyTorch is crucial. Cloud computing experience, particularly with Google/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Azure (Synapse) In depth knowledge on ML and NLP algorithms, LLMs ( BERT, GEPT, etc.) and also hands-on LangChain/LangGraph/LangSmith or LlamaIndex or LlamaCloud, OpenAI LLM Libraries, Vector DBs (Chroma DB, FAISS, etc) Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders Qualifications This role is for you if you have the below Educational Qualifications Bachelor's degree in Computer Science Work Experience 10+ Years of Experience Show more Show less

About the Job & Shakudo At Shakudo, we are building the world’s first operating system for data and AI. We use the term operating system in the truest sense of the word. Like iOS, Windows and Linux, Shakudo’s end-to-end OS offers ever-evolving, automatically operated, best-of-breed open-source components tailored to each business's unique needs. As we continue to scale, we are seeking a team of Technical Support Specialists to join Shakudo on a fully remote basis. In this role, you will be responsible for providing technical support for the Shakudo AI & Data Platform across multiple time zones, focusing on delivering high-quality service to our global customer base. You will play a key role in troubleshooting technical issues, providing platform support, and collaborating with engineering teams to ensure seamless customer experiences. What You’ll Do Customer Interaction & Troubleshooting : Respond promptly to customer queries related to Shakudo's AI & Data Platform, including platform setup, deployment, AI/ML workflows, data pipelines, integrations, and system performance. Documentation & Escalation : Maintain accurate records of customer issues and troubleshooting steps. Escalate issues to internal teams as necessary, ensuring smooth transitions and timely resolution. Communication & Collaboration : Provide clear, concise, and professional technical support via written communication platforms (e.g., Microsoft Teams, Slack, and Email). Collaborate with engineering and product teams to resolve recurring issues. Platform Areas & Technologies : Specialize in several areas of the Shakudo platform, such as platform deployment, Kubernetes, Docker, AI/ML workflows (MLflow, OpenAI, LLM tools), data pipelines, storage (Postgres, NoSQL, MinIO), integrations, and system performance monitoring (Prometheus, Grafana). What You’ll Bring 1-3 years of experience in technical support, IT HelpDesk, or related customer support roles, with a strong understanding of AI, DevOps, or cloud-native technologies. Proficiency in troubleshooting containerized environments using Kubernetes and Docker. Experience with AI/ML workflows, including familiarity with frameworks like TensorFlow, PyTorch, MLflow, and tools for API integrations. Experience in providing technical support in cloud environments (e.g., AWS, Azure). Excellent written communication skills in English, with the ability to explain complex technical concepts clearly. Proactive approach to problem-solving and customer support, with strong attention to detail. Familiarity with tools like Zendesk or ServiceNow for ticketing and customer issue tracking. Experience in maintaining and improving technical documentation. Schedule Shift 9am-5pm EST hours Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences. Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager 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 intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. 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. Job Description & Summary: The Agentic Automation Engineer will develop and implement intelligent automation solutions using agentic frameworks like LangGraph, AutoGen, and CrewAI, integrating generative AI and Retrieval-Augmented Generation (RAG) techniques. This role requires deep expertise in Python, generative AI, and both open-source and closed-source LLMs, along with proficiency in databases and modern automation tools. The ideal candidate will collaborate with cross-functional teams to deliver scalable, high-impact automation workflows that enhance business processes. Responsibilities Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Mandatory Skill Sets 9+ years of total experience o 5+ years of relevant hands-on experience in AI/ML, generative AI, or automation development. o Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. o Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. o Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: o Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). o Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). o Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). o Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: o Exceptional communication skills to articulate technical concepts to non-technical stakeholders. o Strong problem-solving and analytical skills to address complex automation challenges. o Ability to work collaboratively in a fast-paced, client-facing environment. o Proactive mindset with a passion for adopting emerging technologies. Preferred Skill Sets Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Years Of Experience Required 9 + years Education Qualifications B.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Jenkins (Software) 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 Show more Show less

Full-Stack AI Developer Job Type: Off-shore (Full-Time) Experience: 8-10 years Job Description We are seeking a skilled Full Stack Developer with 5-10 years of experience to join our data and AI team. Mandatory Skills: Custom application development (Python and .Net is ideal) Proficiency in Python is essential (application development and AI/ML libraries) Databases: Strong knowledge of database design, development, and management System integrations / API development Github Familiarity with microservices architecture Knowledge of CI/CD pipelines and DevOps practices Past experience with Azure / AWS services Strong written and spoken English communication skills n8n tool proficiency Chatbots LLM-based applications ML modeling (preferable) Great to have: Azure certification Past work with open source AI models Past work with OpenAI Experience with MLOps Key Responsibilities API Development & Integration: Design, develop, and maintain robust APIs and ensure seamless integration with various systems and applications. Azure Cloud Services: Utilize Azure cloud services for deploying and managing applications, ensuring high availability and scalability. AI Modeling: Develop and implement AI models, particularly using open-source LLMs, to enhance chatbot functionalities and other AI-driven applications. Python Development: Write efficient, reusable, and scalable code in Python to support backend functionalities. Database Management: Design, develop, and maintain databases, ensuring data integrity, security, and performance. Chatbot Development: Build and optimize chatbot solutions leveraging LLM-based architectures. n8n Workflow Automation: Design, implement, and maintain automated workflows using the n8n tool. Collaboration: Work closely with data scientists and business stakeholders to deliver integrated solutions. Troubleshooting & Debugging: Identify and resolve backend issues, ensuring optimal performance and reliability. Show more Show less

Software Engineer – Generative AI Location: Bengaluru Experience: 1-3 Years About Pocket FM: At Pocket FM , we’re reimagining storytelling through the power of audio. With millions of users across the globe, we’re on a mission to build the world’s largest audio OTT platform. As we scale, Generative AI is playing a central role in how we create, personalize, and distribute content at scale. Join us to be part of a fast-paced, ambitious team building the future of audio entertainment. What You’ll Do: Build production-grade systems that integrate LLMs and multimodal GenAI models into Pocket FM’s content workflows. Collaborate with Product, Data, and ML teams to design systems for AI-powered storytelling, character generation, voice synthesis, and more. Optimize performance and inference of large-scale GenAI models across cloud and on-device environments. Build and expose GenAI capabilities as reusable services and APIs for other product teams to consume. Continuously explore new models and frameworks (like GPT, TTS models, Whisper, Stable Diffusion, etc.) to keep Pocket FM ahead in the GenAI game. Contribute to the experimentation stack for prompt engineering, RAG pipelines, fine-tuning , and evaluation. What We’re Looking For: 1–3 years of experience in backend/software development (Python, Go, or similar). Hands-on experience working with LLMs or GenAI frameworks like OpenAI, HuggingFace, LangChain, or LlamaIndex. Solid understanding of cloud infra (AWS/GCP), containerization (Docker/K8s), and scalable service design. Experience working with ML engineers or deploying ML models into production. Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval pipelines. Passion for building tools that push the boundaries of creative expression. Nice to Have: Exposure to text-to-speech , voice cloning , or audio generation models. Contributions to open-source GenAI or ML ops tools. Prior experience in media, entertainment, or content-tech companies. Enthusiastic about storytelling, audio platforms, and immersive content experiences. Show more Show less

Zuddl is a modular platform for events and webinars that helps event marketers plan and execute events that drive growth. Event teams from global organizations like Microsoft, Google, ServiceNow, Zylo, Postman, TransPerfect and the United Nations trust Zuddl. Our modular approach to event management lets B2B marketers and conferences organizers decide which components they need to build the perfect event and scale their event program. Zuddl is an outcome-oriented platform with a focus on flexibility, and is more partner, less vendor.. FUNDING Zuddl being a part Y-Combinator 2020 batch has raised $13.35 million in Series A funding led by Alpha Wave Incubation and Qualcomm Ventures with participation from our existing investors GrowX ventures and Waveform Ventures. What You'll Do Prototype LLM-powered features using frameworks like LangChain, OpenAI Agents SDK to power content automation and intelligent workflows. Build and optimize Retrieval‑Augmented Generation (RAG) systems: document ingestion, chunking, embedding with vector DBs, and LLM integration. Work with vector databases to implement similarity search for use cases like intelligent Q&A, content recommendation, and context-aware responses. Experiment with prompt engineering and fine-tuning techniques Deploy LLM-based microservices and agents using Docker, K8s and CI/CD best practices. Analyze model metrics, document findings, and suggest improvements based on quantitative evaluations. Collaborate across functions—including product, design, and engineering—to align AI features with business needs and enhance user impact. Requirement Strong Python programming skills. Hands-on with LLMs—experience building, fine-tuning, or applying large language models. Familiarity with agentic AI frameworks, such as LangChain or OpenAI Agents SDK (or any relevant tool). Understanding of RAG architectures and prior implementation in projects or prototypes. Experience with vector databases like FAISS, Opensearch etc. Portfolio of LLM-based projects, demonstrated via GitHub, notebooks, or other coding samples. Good to Have Capability to build full‑stack web applications. Data analytics skills—data manipulation (Pandas/SQL), visualization (Matplotlib/Seaborn/Tableau), and statistical analysis. Worked with PostgreSQL, Metabase or relevant tools/databases. Strong ML fundamentals: regression, classification, clustering, deep learning techniques. Experience building recommender systems or hybrid ML solutions. Experience with deep learning frameworks: PyTorch, TensorFlow (or any relevant tool). Exposure to MLOps/DevOps tooling: Docker, Kubernetes, MLflow, Kubeflow (or any relevant tool). Why You Want To Work Here Opportunity to convert to a Full-Time Role, based on performance and organisational requirements after the end of the internship tenure. A culture built on trust, transparency, and integrity Ground floor opportunity at a fast-growing series A startup Competitive Stipend Work on AI-first features in an event-tech startup with global customers Thrive in a remote-first, empowering culture fueled by ownership and trust Show more Show less

QuartzBio Overview QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions. Position Summary As Associate AI Engineer Director, you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems that power our core products and enable intelligent exploration of biomarker data. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure. You will also champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies to ensure our systems remain at the forefront of innovation. Key Responsibilities Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services. Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data. Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs. Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability Strategic technical advisor to leadership and help prioritize AI investments with long-term impact. Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency. Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models. Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics. Champion best practices for AI-first development, observability, versioning, and experimentation Serve as a mentor and multiplier, developing talent across the AI engineering organization. Drive strategic AI initiatives aligned with business goals. Subject matter expert in AI and machine learning technologies. Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams. Debug and troubleshoot complex AI system issues and provide timely solutions. Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership. Communicate effectively with team members and stakeholders. Collaborate with cross-functional teams to define AI project requirements and timelines. Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities Other duties as assigned. Qualifications Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI 6-8 years of experience working in a customer-facing role and leading projects. Proven experience driving architecture and strategy for complex AI systems at scale Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization Strong systems thinking and algorithmic fundamentals (DSA) Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives. Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants. Strong ability to identify and present information or data that will have a strong effect on others. Strong ability to partner with customers. Strong ability to review and understand end-to-end work processes. Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening. Excellent problem-solving and analytical skills. Leadership Expectations Follows Company's Principle and code of ethics on a day-to-day basis. Shows appreciation for individual talents, differences, and abilities of fellow team members. Listens and responds with appropriate actions. Leads change initiatives and continuous process improvements. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. Show more Show less

At PwC, our people in talent and development focus on finding, deploying, training and enabling talent through talent identification and enhancing employee skills and knowledge, fostering a culture of continuous learning and professional growth. These individuals collaborate with subject matter specialists and project teams to strategize effective ways to locate, assess, educate and train employees, in line with market developments and firm strategy. As a learning and development generalist at PwC, you will focus on designing and delivering innovative training programmes to enhance employee skills and knowledge. You will play a crucial role in fostering a culture of continuous learning and professional growth within the organisation. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As a Technical Trainer , you will be responsible for designing and delivering engaging learning sessions on Cloud Platforms (AWS, Azure, GCP), AI/ML, Generative AI, DevOps practices, and programming languages such as Java and Python. You will enable upskilling and certification readiness for diverse learner personas including developers, data engineers, and analysts. Your role will ensure that content aligns with global standards and supports business-critical learning initiatives. Main purpose of the job and key background information Deliver virtual and in-person instructor-led training on AWS, Azure, GCP, AI/ML, Generative AI, DevOps, Java, and Python. Customize training modules to suit various experience levels and job roles. Support learners in certification journeys (AWS/Azure Associate-level). Work with SMEs to ensure course content is up to date with current technology trends. Use modern training tools and platforms to enable immersive and practice-oriented learning. Conduct pre- and post-training assessments, gather feedback, and continuously improve the training approach. Collaborate with internal teams to drive learning interventions aligned to business needs. Level Of Experience 10-12 years of relevant experience in technical training, software development, or cloud/data engineering roles. Education/qualifications Bachelor’s degree in Computer Science Engineering, or related field (required) Certified in at least one major Cloud platform (AWS/Azure/GCP) at Associate or Intermediate level (e.g., AWS Solutions Architect Associate, Azure Administrator Associate) Industry Experience Additional certifications in AI/ML or DevOps (preferred) Experience in IT Services, Consulting, or Learning & Development domains. Technical capability Expertise in one or more Cloud platforms (AWS, Azure, GCP) Strong programming knowledge in Python and Java Good understanding of AI/ML concepts and tools Exposure to DevOps practices and tools like CI/CD, Docker, Jenkins Familiarity with Generative AI platforms and tools (e.g., Bedrock, OpenAI APIs) Key personal attributes Passion for teaching and mentoring Excellent communication and presentation skills Adaptive, learner-first mindset Ability to simplify complex concepts for diverse learner audiences Team player with collaborative approach Show more Show less

Job Title: Senior Developer - AI/ML & Generative AI Location: Pune Job Type: Full-time Job Summary: We are looking for a highly experienced Senior Developer with a strong background in Python, AI/ML, Generative AI, and experience with Azure OpenAI, Large Language Models (LLMs), cloud platforms like Azure and AWS, and various databases to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying advanced AI solutions, with a focus on leveraging Generative AI techniques to drive innovation and efficiency. Key Responsibilities: AI/ML Development: Design, develop, and implement advanced AI/ML models and algorithms to solve complex problems and enhance business processes. Generative AI Solutions: Utilize Generative AI techniques (e.g., GANs, VAEs) to create innovative applications and improve existing systems. Python Programming: Write clean, efficient, and scalable code in Python, using libraries such as TensorFlow, PyTorch, scikit-learn, and others. Data Analysis and Modeling: Analyze large datasets to extract insights, build predictive models, and support data-driven decision-making. Azure OpenAI and LLMs: Develop and deploy AI solutions using Azure OpenAI services and Large Language Models (LLMs) to enhance capabilities and performance. Cloud Platforms: Utilize cloud platforms like Azure and AWS for deploying and managing AI/ML solutions. Database Management: Work with various databases, including SQL, MongoDB, NoSQL, and vector databases, to store, manage, and retrieve data efficiently. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand requirements and deliver high-quality AI solutions. Mentorship: Provide technical guidance and mentorship to junior developers and team members. Continuous Improvement: Stay updated with the latest advancements in AI/ML, Generative AI, Azure OpenAI, LLMs, cloud technologies, and database management, and apply them to enhance existing solutions and develop new ones. Documentation: Document AI models, algorithms, and processes, and provide regular reports on project progress and outcomes. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5-6 years of experience in AI/ML development, with a focus on Python, Generative AI, and Azure OpenAI. Technical Skills: Proficiency in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.). Extensive experience with Generative AI techniques (GANs, VAEs, etc.). Strong understanding of machine learning algorithms, data analysis, and model deployment. Experience with Azure OpenAI services and Large Language Models (LLMs). Proficiency in cloud platforms like Azure and AWS. Experience with databases such as SQL, MongoDB, NoSQL, and vector databases. Familiarity with containerization (Docker, Kubernetes). Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to lead and mentor a team. Proactive and self-motivated with a passion for innovation. Show more Show less

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do We are seeking a strong candidate with experience and passion to fill a Senior Analyst (SA) role within the MSP Practice, focused on the topic of Digital Marketing. As a Sr. Analyst within the MSP Practice Area, you will - Partner with case teams to consult clients in solving their key growth & digital marketing problems by identifying opportunities of growth, establishing key pilots based on impact & value and then driving impact in collaboration with client’s marketing team & agency. Travel requirements to support client projects, proposals, conversation starters can be minimum 70-80% to client locations and may vary across the year Bring in core expertise for handling marketing & growth modules in client work and can capture the proposed strategies in a client-ready manner. Bring in hands on expertise of managing performance marketing Be able to lead and execute deployment of MarTech and AI-driven solutions, ensuring seamless integration across CRM, analytics, AI-driven automation, and personalization platforms for the clients. Liaise with other specialized teams (e.g. BCG X) to bring out the optimal solutions to ensure that requests/projects are delivered in an optimal manner With consultants, collects, synthesizes, analyzes case team learning & inputs into new knowledge products (case vignettes, frameworks, methodology) Leverage his/her expertise to support project proposals (e.g. outside-in observations, competitive benchmarking, maturity assessment etc) as well as client casework. Be responsible for creating and maintaining best-in-class institutional content and knowledge that supports and advances the Digital Marketing topic (e.g. case vignettes, credentials, toolkit evaluations, vendor management, etc). Successful candidates will possess advanced analytics technical expertise, strong collaborative and execution capabilities, excellent verbal and written communication skills both to expert and non-expert audiences, a practical and flexible mindset, and high attention to detail and work quality. You will join a growing team with a global presence and will work most closely with team members in India. What You'll Bring Masters or MBA from a reputable institution is mandatory, preferably with a focus on Marketing, Strategy, or MarTech. 2+ years of consulting experience in [MSP sector] required; candidates with consulting experience strongly preferred In lieu of consulting experience, 3+ years minimum industry experience required; 4–6+ years of industry experience strongly preferred Previous experience at a consulting firm, eCommerce, marketing agency firm strongly preferred Understanding of DSP/DMP platforms (Tradedesk, DV360 etc.), Mar-Tech (Clevertap, Moengage etc..) Expertise in Generative AI for Marketing is desirable: Understanding of Gen AI tools (e.g., OpenAI, Google Gemini, Adobe Sensei, Midjourney) for automated content creation, predictive modeling, and real-time campaign adjustments Prior experience in a start-up environment is desirable Flexible, self-motivated, and proactive out-of-the-box and critical thinker Excellent interpersonal and communication skills, fluent written and spoken English Strong business acumen and problem-solving capabilities Who You'll Work With The Senior Analyst will be an integral part of BCG’s MSP Practice and directly integrate into case teams on client engagements. Like all BCG case teams, you will work with a diverse set of functions across BCG to drive innovative thinking and outcomes for BCG and our clients. Our team is made up of a diverse pool of knowledge positions that allow us to pursue exciting, innovative knowledge careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. We equip you with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower both you and your clients to thrive. With over 1,300 BCG Vantage experts across 20 Practices, covering more than 100 topics, sectors and offers, plus 4 focused geographic markets (India, Greater China, Southeast Asia, & Latin America), we deliver extraordinary depth and breadth of insight & expertise. We look forward to continuing to partner with our generalist Consulting Team, ECT, Senior Advisors, BCG X, Platinion, and other specialist colleagues to deliver best-in-class professional services to BCG clients! YOU’RE GOOD AT Solving complex client problems through relevant analytical approaches and customized solutions Assessing client’s digital marketing strategy and campaign management capabilities. Hands on in-depth expertise on platforms including – Google Ads, Meta Ads, GA4 and Martech platforms like Clevertap, Moengage that helps identify key areas of opportunity for the client and implement the pilots. Understand the various components and drivers of growth across various stages of the customer journey including – acquisition, onboarding, engagement, and retention. Analyze trends (such as traffic, conversion, user engagement, and repeat behavior) and create actionable programs leading to user growth & retention. Analyze user journeys to provide actionable insights and recommendations followed by quick experimentation via A|B testing routes on traffic/funnel enhancement to derive immediate impact on KPIs Working closely with client teams and agencies to understand strategic objectives and design tests/optimize campaigns to improve digital marketing performance and meet the clients' goals Interfacing with BCG case and client teams and reporting on results, in a credible and confident way Working collaboratively and effectively in a group dynamic often virtually, proficient in agile ways of working Flexibility and bringing a curious and creative mindset, open to new things, and able to propose innovative ideas Ability to navigate complexity and ambiguity Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

Job Title: Senior Data Scientist Total Experience: 4Yrs–8+Yrs with 2–3 years of relevant experience. Location: Chennai - Hybrid About the Role: We are seeking an experienced Senior Data Scientist to take part in the development of advanced AI solutions with a strong focus on Generative AI (Gen AI) and LLMs. This role requires detep technical expertise in cutting-edge frameworks such as LangChain, CrewAI, and AutoGen, as well as experience in building full-stack AI systems to production. Key Responsibilities: Architect, design, and implement Gen AI / LLM-based solutions using LangChain, CrewAI, AutoGen. Develop advanced RAG pipelines, structured prompting (e.g., Chain of Thoughts), and implementKnowledge Graphs to enhance AI reasoning Lead full-cycle AI product development, including model training, evaluation, deployment, and CI/CD integration for scalable delivery Work with large and complex datasets, performing preprocessing, feature engineering, and web scraping where required Build and maintain AI model pipelines and services integrated with Vector DBs, Graph DBs, and BigData platforms. Utilize cloud-based AI offerings (Azure AI Services, AWS Bedrock, GCP Vertex AI) for deploying scalable and secure AI products Collaborate cross-functionally with engineering, product, and domain experts to translate business needs into AI solutions Stay updated on the latest AI technologies and best practices. Must-Have Skills: Core AI Capabilities Gen AI, LLMs (OpenAI, Cohere, Claude, etc.), Agentic AI, Prompting, Chain of Thoughts LangChain, CrewAI, AutoGen, Advanced RAG technics Knowledge Graph design and implementation Strong Python and SQL programming AI Product C Deployment End-to-end AI product development lifecycle Model deployment, evaluation, CI/CD pipeline automation Web scraping and classic ML/NLP model development and validation Databases Vector DBs, Graph DBs, BigData platforms etc. Cloud Integration Azure AI Services, AWS Bedrock, GCP AI models Cloud-native AI deployments using managed services Good-to-Have Skills: Model governance and benchmarking frameworks Experience with Streamlit or similar tools for rapid prototyping Knowledge of Time Series forecasting and signal-based modeling Domain expertise or project experience in: Healthcare, Automotive, Retail, Oil C Gas Show more Show less

We are seeking a dynamic and experienced AI Trainer with expertise in Machine Learning, Deep Learning, and Generative AI including LLMs (Large Language Models) . The candidate will train students and professionals in real-world applications of AI/ML as well as the latest trends in GenAI such as ChatGPT, LangChain, Hugging Face Transformers, Prompt Engineering, and RAG (Retrieval-Augmented Generation) . Key Responsibilities: Deliver hands-on training sessions in AI, ML, Deep Learning , and Generative AI . Teach the fundamentals and implementation of algorithms like regression, classification, clustering, decision trees, neural networks, CNNs, and RNNs. Train students in LLMs (e.g., OpenAI GPT, Meta LLaMA, Google Gemini) and prompt engineering techniques . LangChain Hugging Face Transformers LLM APIs (OpenAI, Cohere, Anthropic, Google Vertex AI) Vector databases (FAISS, Pinecone, Weaviate) RAG pipelines Design and evaluate practical labs and capstone projects (e.g., chatbot, image generator, smart assistants). Keep training materials updated with latest industry developments and tools. Provide mentorship for student projects and support during hackathons or workshops. Required Skills: AI/ML Core: Python, NumPy, pandas, scikit-learn, Matplotlib, Jupyter Good knowledge in Machine Learning and Deep Learning algorithms Deep Learning: TensorFlow / Keras / PyTorch OpenCV (for Computer Vision), NLTK/spaCy (for NLP) Generative AI & LLM: Prompt engineering (zero-shot, few-shot, chain-of-thought) LangChain and LlamaIndex (RAG frameworks) Hugging Face Transformers OpenAI API, Cohere, Anthropic, Google Gemini, etc. Vector DBs like FAISS, ChromaDB, Pinecone, Weaviate Streamlit, Gradio (for app prototyping) Qualifications: B.E/B.Tech/M.Tech/M.Sc in AI, Data Science, Computer Science, or related Practical experience in AI/ML, LLMs, or GenAI projects Previous experience as a developer/trainer/corporate instructor is a plus Salary / Remuneration: ₹30,000 – ₹75,000/month based on experience and engagement type Job Type: Full-time Pay: ₹30,000.00 - ₹75,000.00 per month Schedule: Day shift Application Question(s): How many years of experience you have ? Can you commute to Kakkanad, Kochi ? What is your expected Salary ? Work Location: In person

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. APPLIED AI SCIENTIST The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies. Key Duties/ Responsibilities Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases. Lead prompt engineering experiments to improve output quality and reduce hallucination. Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith. Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components. Contribute to innovation showcases and internal learning sessions. Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems. Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow. Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows. Leadership Skills: Strong analytical thinking with the ability to guide AI solution design. Able to mentor engineers on GenAI concepts and best practices. Collaboration across engineering and innovation teams. Required Technical Skills: Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures. Experience with Python, PyTorch, OpenAI API, and model evaluation tools. Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store). Prompt evaluation using LangSmith, Promptfoo, or similar frameworks. Qualification: Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment. Experience 6 + Years

Experience: 0-3 Years Role Overview We’re seeking an AI Solutions Engineer to lead the integration of GenAI tools— such as ChatGPT or Claude—into our core platform. You’ll design, prototype, and deploy features that elevate student outcomes, make teaching exciting, and enrich dashboards with intelligent insights, all while upholding privacy and governance standards. Key Responsibilities Design and build GenAI-powered features like guided study assistants, automated remediation engine, and intelligent feedback tools. Develop end-to-end pipelines (prompt design → model integration → CI/CD deployment) that align with Edwisely’s Intelligent Learning Infrastructure. Collaborate with product teams, faculty, and UX designers to deploy AI features in classrooms and dashboards. Ensure all AI implementations meet ISO 27001 security and CERT-In data protection guidelines. Measure adoption and impact via analytics dashboards—support evidence-based learning outcomes. What You’ll Bring Strong in prompt engineering, RAG, embeddings, or QA systems using frameworks like OpenAI API, LangChain, Hugging Face Transformers. Familiarity with ML deployment—FastAPI, Docker, AWS/GCP—within production-grade applications. Experience with education data, knowledge graphs, student modeling, or assessment systems is a big plus. Results-driven: ability to turn prototypes into scalable features. Passionate about improving higher education with impactful, AI-driven solutions. Why Edwisely? Be part of a high-impact EdTech startup, transforming learning journeys of engineering students nationwide. Work with a product that uses AI + analytics to personalize learning, support faculty, and guide institutional decisions . Career growth: define your ownership—architecture, implementation, or research-led product development. Competitive package, fast-paced work culture, and freedom to drive real-world impact. Application Process Submit your CV + GitHub or project links (especially showcasing GenAI integrations or NLP projects). @ satish@edwisely.com Technical interview focusing on applied AI scenarios (prompt design, architecture, pipelines). Work sample task: prototype an AI feature for Edwisely

Design and deploy advanced Generative AI solutions using LLMs, multi-agent systems, and RAG architectures. Build scalable, secure applications integrating FastAPI, React/Streamlit, PostgreSQL, and vector databases. Leverage frameworks like LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows. Implement prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. Collaborate across teams to integrate GenAI features into enterprise platforms and deliver business value. Optimize GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. Ensure model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines. About Regal Rexnord Regal Rexnord is a publicly held global industrial manufacturer with 30,000 associates around the world who help create a better tomorrow by providing sustainable solutions that power, transmit and control motion. The Company’s electric motors and air moving subsystems provide the power to create motion. A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications. The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools. The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture. Regal Rexnord is comprised of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. Regal Rexnord has offices and manufacturing, sales and service facilities worldwide. For more information, including a copy of our Sustainability Report, visit RegalRexnord.com.

Job description Generative AI Developer Intern – 2025 Edition Location: T-Hub, Hyderabad, Telangana, India Duration: 3-6 months (Flexible) Start Date: Immediate About Altibbe Health Pvt Ltd At Altibbe Health Pvt Ltd, we bridge cutting-edge technology with human well-being. Our mission is to build responsibly healthy solutions that empower humanity through transparency, innovation, and virtuous growth. As part of our team, you’ll be contributing not just to AI systems, but to a future where technology serves the greater good. Position Overview We are looking for a Generative AI Developer Intern who is eager to build next-generation AI automation solutions and intelligent agent systems. This is a hands-on opportunity to work with cutting-edge AI frameworks—n8n, LangChain, RAG systems, vector databases, and multi-agent frameworks—to drive business transformation responsibly. Key ResponsibilitiesAI Agent Development Design and implement intelligent agents using LangChain, LangGraph, CrewAI, AutoGen. Develop multi-agent systems where specialized agents collaborate effectively on complex challenges. Build and optimize Retrieval-Augmented Generation (RAG) pipelines to deliver accurate and contextually relevant outputs while upholding ethical AI practices. Workflow Automation & Integration Create sophisticated automation workflows using n8n, integrating APIs, databases, and cloud services. Develop custom nodes and plugins to extend n8n’s capabilities for AI-powered solutions. Implement real-time data processing and decision-making systems using visual workflow builders. Technical Implementation Integrate vector databases (Pinecone, Chroma, Weaviate) for efficient similarity search and secure data retrieval. Work with large language models (via APIs like OpenAI, Anthropic, Azure OpenAI) and open-source alternatives, ensuring responsible deployment. Develop and maintain Python applications for data processing, model integration, and API development, ensuring transparency, auditability, and responsible coding practices. Required Skills & QualificationsEssential Technical Skills Intermediate-level Python proficiency with experience in building applications and automation scripts. Hands-on experience with LangChain/LangGraph for LLM-powered applications. Practical knowledge of n8n for visual workflows and API integrations. Understanding of RAG systems and their implementation. Proficiency with Git/GitHub for version control and REST API development. Important Supporting Skills Familiarity with CrewAI, AutoGen, or similar multi-agent frameworks. Experience with vector databases (Pinecone, Chroma) for secure, efficient data storage and retrieval. Basic knowledge of cloud platforms (AWS, Azure OpenAI, Google Cloud) with an emphasis on responsible usage. Prompt Engineering skills to design effective prompts that mitigate bias and enhance LLM performance. Educational Background Pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, AI, or a related field. Demonstrated projects in machine learning, natural language processing, or automation. Strong problem-solving skills, a passion for innovation, and a commitment to continuous learning. Technical Experience Hands-on experience building production-ready AI agents and automation workflows. Understanding of RAG system optimization and performance tuning. Experience with the AI development lifecycle from prototyping to deployment. Financial Package & Benefits Internship stipend: ₹15,000 per month, performance-based. Bonuses and project completion incentives. Access to premium AI tools, cloud credits, and resources. Opportunity to work at T-Hub, the world’s largest startup incubator. Learning stipend for courses, certifications, and conference attendance. Virtues We Value At Altibbe, we believe in fostering not only skills but virtues that shape the future of responsible innovation: ✨ Integrity – Delivering honest and transparent AI solutions. ✨ Humility – Learning from every challenge and contributing as a team player. ✨ Empathy – Creating technology that respects human dignity and well-being. ✨ Excellence – Striving for world-class standards while staying grounded. ✨ Wisdom – Applying knowledge ethically to create a positive impact. Application Process Submit your resume highlighting relevant projects and technical skills. Portfolio showcasing your AI, automation, or software development work. Brief cover letter explaining your interest in generative AI, your commitment to responsible innovation, and your experience with the listed technologies. Evaluation Process Technical Screening: Assessment of programming skills and AI concepts. Project Review: Discussion of your previous work and technical approach with a focus on ethics and transparency. Practical Task: RAG chatbot development challenge aligned with Altibbe’s values. Cultural Fit: Interview assessing your growth mindset, collaborative approach, and commitment to Altibbe’s mission. Industry Context India’s generative AI market is booming—expected to contribute over $500 billion to GDP by 2025. At Altibbe, you’ll be at the forefront of responsible AI development, building skills that are essential across industries while shaping a healthier, more transparent future.Ready to Build the Future of Ethical AI? Email: people@altibbe.com Phone: 9866133639 Join us at Altibbe Health Pvt Ltd and help create intelligent systems that align technology with the virtues that matter. Job Type: Internship Contract length: 3 months Pay: ₹14,628.87 - ₹15,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

Fractal is one of the most prominent players in the Artificial intelligence space. Fractal's mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the world's most admire Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Manage- ment, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs. Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, a leader in Analytics & Al Services Specialists Peak Matrix 2021 by Everest Group and recognized as an "Honorable Vendor" in 2022 Magic Quadrant™ for data & analytics by Gartner. For more information, visit fractal.ai Job Description: (Senior Data Scientist – Generative AI) We’re looking for a passionate Data Scientist – Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone who’s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/domains. Responsibilities: • Design and implement advanced solutions utilizing Large Language Models (LLMs). • Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. • Conduct research and stay informed about the latest developments in generative AI and LLMs. • Develop and maintain code libraries, tools, and frameworks to support generative AI development. •Participate in code reviews and contribute to maintaining high code quality standards. • Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. • Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. • Possess strong analytical and problem-solving skills. • Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: • Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR • Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. • Generative AI: o Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents) Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. • Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. • Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Must Have Skills 5–10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB) Strong understanding of NLP techniques including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines Experience integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Strong problem-solving, data storytelling & communication skills Show more Show less

Job Title: Data Scientist – AI & Algorithms Location: On-site – New Delhi Company: WaysAhead Technology Pvt. Ltd. Vertical: Data Engineering & AI Innovation Experience: 2–6 years Open position: 1 Job Description: We are looking for an experienced Data Scientist with a strong foundation in algorithms, large language models (LLMs), and computer vision. The ideal candidate will be proficient in Python and capable of building scalable, production-grade AI solutions from development to deployment. You will be working at the intersection of retail intelligence and cutting-edge AI, contributing to the design of smart systems and APIs for real-time business impact. Key Responsibilities: Design and implement machine learning models for classification, recommendation, NLP, or vision-based tasks. Develop and fine-tune LLMs or implement RAG-based systems. Write clean, modular Python code for algorithmic models and data workflows. Develop REST APIs for model access and integrate them into existing platforms. Deploy models to production environments using Docker, FastAPI, or Flask. Collaborate with product and business teams to understand use cases and deliver AI-driven features. Skill Set: Must have skills: Python (Advanced) Machine Learning (Sklearn) Algorithm Development LLMs / NLP / Transformers REST API Development Model Deployment (Docker etc.) FastAPI / Flask HuggingFace / OpenAI APIs MsSQL RAG / Fine-tuning pipelines Good to have skills: PostgreSQL Git / CI-CD basics Prompt Engineering / Embedding use LangChain, Unsloth, Vector DBs (FAISS) Streamlit / Gradio UI wrappers Nice to have skills: Azure / AWS ML deployment pipelines ONNX / Model Optimization Computer Vision (OpenCV, YOLO, etc.) PyTorch / TensorFlow (Intermediate) Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹400,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Expected Start Date: 10/06/2025