Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. What Makes Our AI/ML Practice Unique: Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: At least 6 years of experience working with geographically distributed teams 2+ years of experience working in a client-facing role on AI/ML . Demonstrable experience in leading a substantive area of work, or line management of a team. Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc. Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models. Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS. Business Understanding, Stakeholder management and Team leading skills. Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Position Summary: We are seeking a seasoned and strategic Demand Generation Director to lead and scale our marketing-led demand generation efforts focused exclusively on B2B IT services targeting the North American market . This leadership role is ideal for a data-driven marketer with deep experience in building pipeline within IT services environments. The ideal candidate will own the end-to-end demand generation engine—from awareness through lead generation and qualification—ultimately driving sales pipeline growth and revenue alignment. Key Responsibilities: 1. Strategy & Leadership Develop and execute a comprehensive demand generation strategy aligned with business growth objectives in IT services. Own the full lead generation funnel—from awareness to qualified lead hand-off to sales. Partner with leadership across sales, delivery, customer success, and operations to ensure alignment on messaging and campaign goals. 2. Demand Generation & Lead Nurturing Plan and execute integrated, multi-channel campaigns (email, paid media, webinars, events, SEO, social, etc.) targeting enterprise and mid-market buyers across the U.S.. Focus on generating qualified leads for IT services—custom software development, infrastructure services, application management, etc. Build and manage lead scoring, segmentation strategies, and nurture streams tailored for long B2B services sales cycles. 3. Content Marketing & Thought Leadership Collaborate with SMEs and internal teams to develop high-impact content assets like whitepapers, industry reports, webinars, and use cases showcasing service delivery excellence. Promote IT services capabilities through educational and problem-solving content tailored to decision-makers in IT, procurement, and business operations. Amplify content across paid and organic channels to boost visibility and authority in target industries. 4. Marketing Automation & CRM Integration Manage and optimize campaigns using marketing automation platforms (e.g., HubSpot, Marketo) integrated with CRM (e.g., Salesforce). Ensure accurate lead tracking, reporting, and campaign attribution across platforms. Monitor and report on KPIs such as cost per lead (CPL), marketing-qualified leads (MQLs), pipeline influence, and return on investment (ROI). 5. Team Leadership & Innovation Lead, coach, and develop a growing team of demand generation and campaign specialists. Foster a performance-driven, collaborative culture of experimentation, analysis, and continuous optimization. Stay up to date with evolving tools, technologies, and buyer behavior trends in the IT services space. Qualifications: 15+ years of B2B marketing experience with a strong focus on IT services . Demonstrated success in generating leads and pipeline for enterprise IT services in North America. Strong understanding of buyer personas and sales cycles typical of B2B services (consulting, implementation, managed services). Hands-on experience with marketing automation (HubSpot, Marketo) and CRM systems (Salesforce). Proven ability to align marketing with sales and revenue outcomes. Exceptional communication, project management, and leadership skills. Bachelor’s degree in Marketing, Business, or related field; MBA is a plus. Preferred: Experience targeting North American enterprise and mid-market accounts. Familiarity with Account-Based Marketing (ABM) strategies. Exposure to intent data platforms and advanced lead qualification techniques. Understanding of global delivery models and service positioning in IT services.
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Roles & Responsibilities: Understand Tezo offerings clearly in order to effectively communicate with prospects. Know and understand the assigned territory. Validate and Manage assigned Target Accounts on CRM. Effective Prospecting (via cold calling, outbound calls, emailing, and networking). Tailor pitch according to account/contact profile and effectively engage a prospect (at various stages of sales cycle cold call/follow-up). Good Knowledge of tools like LinkedIn Sales Navigator, ZoomInfo & other tools. Qualify by BANT (Budget Authority Need & Time). Working with internal teams to get SOW/Proposals in line with client discussions Negotiation/Closure. Work closely with Sales Manager and support in engaging with Key Accounts by qualifying prospects and drive new opportunities. Strives to meet or exceed Lead targets on a daily, weekly, monthly, and quarterly basis. Qualification: Postgraduate (MBA) in Marketing. 2 - 5 years' experience in IT Services Sales in the USA. Excellent communication skills (especially engaging customers over the phone and email). Organized, disciplined, and a Hunter by choice. Key Skills: - Business Development, Inside Sales, International Sales, and Sales.
We are seeking a skilled Agentic AI Developer to design and implement intelligent agent systems powered by Large Language Models (LLMs) . This role involves developing LLM-based pipelines that can ingest transcripts, documents, or business narratives and generate structured artifacts such as workflows, decision trees, action plans, or contextual recommendations. You will collaborate with cross-functional teams to deploy autonomous AI agents capable of reasoning, planning, memory, and tool usage in enterprise environments — primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations). Key Responsibilities Build and deploy autonomous agent systems using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel. Develop pipelines to process natural language input and generate structured outputs tailored to business needs. Implement agentic features such as task orchestration, memory storage, tool integration , and feedback loops. Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness. Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate). Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks. Participate in scenario-based UAT testing, risk evaluation, and continuous optimization. Must-Have Skills Proficiency in Python and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain). Strong understanding of LLMs (e.g., GPT, Claude, LLaMA, Mistral) and prompt engineering principles. Experience developing agent workflows using ReAct, AutoGen, CrewAI, or OpenAI function calling . Familiarity with Vector Databases (FAISS, Pinecone, Qdrant) and RAG-based architectures . Skills in Natural Language Processing (NLP) : summarization, entity recognition, intent classification. Integration experience with APIs, SDKs , and enterprise tools (preferably Microsoft stack). Preferred Certifications (Candidates with the following certifications will have a strong advantage) : ✅ Microsoft Certified: Azure AI Engineer Associate (AI-102) ✅ Microsoft Certified: Power Platform App Maker (PL-100) ✅ Microsoft 365 Certified: Developer Associate (MS-600) ✅ OpenAI Developer Certifications or Prompt Engineering Badge ✅ Google Cloud Certified: Professional Machine Learning Engineer ✅ NVIDIA Deep Learning Institute Certifications ✅ Databricks Generative AI Pathway (optional)
Job Title: Senior Data Scientist Location:Hyderabad/Bangalore Department: Advanced Analytics & AI Solutions About the Role We are seeking a highly skilled Senior Data Scientist to lead the end-to-end design, enhancement, and deployment of a machine learning solution that predicts the virality of press articles. This role is part of a high-impact digital media analytics project designed to support brand reputation management by forecasting which headlines are likely to gain rapid traction. The ideal candidate brings deep expertise in natural language processing (NLP), deep learning (especially transformer models like BERT), and hands-on experience with Azure AI services. You will drive the evolution of a proof-of-concept Python model into a scalable, production-grade Azure-based solution integrated with downstream generative AI interfaces. Key Responsibilities Lead the development and optimization of a BERT-based pairwise comparison model for predicting press article virality. Incorporate temporal dynamics into modeling strategy to enhance prediction accuracy over time. Design and implement scalable ML pipelines using Azure AI Hub, Foundry, Blob Storage, and Cosmos DB. Collaborate with architecture and platform teams to ensure smooth lift-and-shift deployment of the solution into client environments. Integrate outputs with Azure OpenAI (GPT-4o) to build conversational interfaces via Microsoft Copilot Studio or Power Apps. Evaluate model performance using robust metrics (accuracy, AUC-ROC, ranking correlation). Manage compute budgets (under $1,000/month) through cost-efficient compute planning and Azure monitoring tools. Work closely with stakeholders to translate business requirements into ML model specifications and insights delivery. Stay up-to-date with advances in NLP, ranking models, and Azure ML ecosystem. Required Skills & Experience 6–10 years of experience in Data Science or Machine Learning, with a strong focus on NLP or content-based recommendation systems. Deep proficiency in Python, with expertise in transformers, PyTorch/TensorFlow, Hugging Face, and data science libraries (pandas, scikit-learn). Hands-on experience with BERT, pairwise learning, and ranking models. Prior exposure to temporal modeling techniques (e.g., sliding windows, time-based feature engineering). Strong experience with the Azure ecosystem, including: Azure AI Hub and Foundry Azure Machine Learning Azure OpenAI Azure Cosmos DB and Blob Storage Azure Monitor and Application Insights Experience designing or integrating generative AI solutions (e.g., GPT-4, Claude, Gemini). Familiarity with CRISP-DM methodology or other structured data science lifecycles. Preferred Qualifications Experience working with media or digital marketing datasets (clickstream, headlines, user interactions). Knowledge of semantic search or vector databases. Understanding of Copilot/Chatbot development on Microsoft platforms. Experience managing data science projects with budget constraints and deployment pipelines. Published research or prototypes in NLP or content virality modeling is a strong plus. Certifications DP-203: Azure Data Engineer Associate AI-102: Azure AI Engineer Associate DP-600: Fabric Analytics Engineer Associate Hugging Face Transformers Certification TensorFlow Developer Certificate or PyTorch Fundamentals by Meta Google Cloud Certified Professional Data Engineer (if cross-cloud experience is relevant) Certified Specialist in NLP (e.g., DeepLearning.AI NLP Specialization on Coursera)
Location: Hyderabad (or willing to relocate) Reporting To: SVP Revenue About the Role Tezo is looking for a dynamic and experienced Solutions Engineering Leader to head our pre-sales function and drive value-oriented conversations with prospects across our AI, Data, and Digital offerings. This role is pivotal in shaping Tezo’s market-facing narrative, working closely with Sales, Marketing, and Delivery teams to translate customer needs into compelling solutions. You will directly report to the SVP of Revenue and play a critical role in winning new business, contributing to strategic pursuits, and elevating Tezo’s brand presence through thought leadership. Key Responsibilities Own Pre-Sales Function: Lead and manage all pre-sales activities across verticals and offerings—creating solution architectures, tailored demos, and business value propositions. Customer-Focused Solutioning: Collaborate with Sales and Delivery to understand customer problems and design solutions aligned to their business goals. Proposal Leadership: Lead RFP/RFI responses, client workshops, solution presentations, and build industry-relevant case studies. Storytelling: Craft persuasive customer narratives, pitch decks, and custom presentations that clearly convey Tezo’s differentiated value proposition. Thought Leadership: Contribute to white papers, blogs, and industry publications to position Tezo as a trusted partner in AI, Data, and Digital Transformation. Sales Enablement: Coach Sales teams on solution positioning and market differentiators. Cross-Functional Collaboration: Work closely with Delivery, Marketing, and Product teams to ensure alignment in GTM activities and customer engagements. Ideal Candidate Profile Experience: 15-20 years overall with significant exposure in pre-sales, solutioning, and delivery. Delivery Background: Hands-on delivery leadership experience is a strong advantage. North America Market Exposure: Proven track record working with NA clients across industries like Insurance, BFSI, Manufacturing, or Retail. Customer-Centric Mindset: Ability to translate customer challenges into business and technical solutions. Entrepreneurial Mindset: Preference for candidates from smaller organizations/startups who are comfortable in high-ownership roles with minimal hand-holding. Storytelling Skills: Exceptional ability to build and deliver compelling narratives that resonate with executive stakeholders. Documentation Skills: Proficiency in crafting RFI/RFP responses, thought leadership content, and executive presentations. Why Join Tezo? Opportunity to be part of a fast-growing digital transformation company with an AI-first approach Work closely with senior leadership and make a direct impact on revenue outcomes High-visibility role with cross-functional exposure and accelerated growth opportunities Flexible work culture with a focus on outcomes
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. We are seeking a highly experienced and dynamic Practice Head – Data Science & AI to lead our data practice in Hyderabad. This role is ideal for a technology leader with a strong foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), along with proven experience in building and scaling data practices. The ideal candidate will also have a strong business acumen with experience in solution selling and pre-sales. Key Responsibilities: Leadership & Strategy: Define and drive the strategic vision for the Data Science and AI practice. Build, lead, and mentor a high-performing team of data scientists, ML engineers, and AI experts. Collaborate with cross-functional teams to integrate data-driven solutions into broader business strategies. Technical Expertise: Lead the design and delivery of advanced AI/ML solutions across various domains. Stay abreast of industry trends, emerging technologies, and best practices in AI, ML, and data science. Provide technical guidance and hands-on support as needed for key initiatives. Practice Development: Establish frameworks, methodologies, and best practices to scale the data science practice. Define and implement reusable components, accelerators, and IPs for efficient solution delivery. Client Engagement & Pre-Sales: Support business development by working closely with sales teams in identifying opportunities, creating proposals, and delivering presentations. Engage in solution selling by understanding client needs and proposing tailored AI/ML-based solutions. Build strong relationships with clients and act as a trusted advisor on their data journey. Required Skills & Experience: 12+ years of overall experience with at least 5+ years in leading data science/AI teams. Proven experience in setting up or leading a data science or AI practice. Strong hands-on technical background in AI, ML, NLP, predictive analytics, and data engineering. Experience with tools and platforms like Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, etc. Strong understanding of data strategy, governance, and architecture. Demonstrated success in solutioning and pre-sales engagements. Excellent communication, leadership, and stakeholder management skills.