510 Aiml Jobs - Page 17

AI agent, GenAI , Python/ GenAI Services(Someone moved from AI/ML to GenAI and Agentic AI Skills

Must understand Gen AI models o Hands on with Python with basic ML libraries o Building NLP engine (pre-processing, modelling) o Understanding of Deep Learning frameworks for NLU, NLG & MLOps o Docker containerization, building CI/CD pipeline o Hands on with GCP Data Science tool for Building, Training, Deploying Models, especially Vertex Role & responsibilities Preferred candidate profile

Roles and Responsibilities : Design and develop scalable, secure, and efficient AI solutions using Python, TensorFlow, PyTorch, and other relevant technologies. Collaborate with cross-functional teams to identify business requirements and translate them into technical designs that meet customer needs. Develop data models, algorithms, and machine learning frameworks to solve complex problems in various industries such as healthcare, finance, or retail. Ensure high-quality code by writing unit tests, integrating with DBMS systems, and implementing DevOps practices. Job Requirements : 12-18 years of experience with good expertise into architect design and development and with AIML (Artificial Intelligence Machine Learning) architecture. Strong understanding of cloud platforms like AWS/Azure/GCP for deploying AI applications. Proficiency in developing scalable databases using relational databases management systems (DBMS). Experience with deep learning frameworks like TensorFlow/PyTorch.

Role : Technical Project Manager AI Projects - Contract Duration : 3 Months Experience : 8+ Years Location : Bangalore(Hybrid) Note : This would be a contract role and immediate joiners are preferred. Please apply only if your are interested for the contractual role. Core Responsibilities Vendor Leadership • Source, evaluate, and manage AI partners (LLMs, CV, GenAI, etc.). Negotiate scope, SLAs, and milestones that map to Foundation priorities. Project Ownership • Run 2-3 concurrent AI projects with lightweight, outcomes-focused plans. Define clear deliverables, risks, and acceptance criteria; keep timelines on track. Technical Oversight • Review model choices, data pipelines, and MLOps workflows with vendors. Validate results for scalability, security, and alignment to product vision. Cross-Functional Sync • Partner with product, engineering, and data teams to lock requirements, hand-offs, and integration points. Surface trade-offs early and drive decision-making. Compliance & Ethics • Embed privacy, security, and responsible-AI checks into every sprinteven when moving fast. Stakeholder Reporting • Provide crisp weekly updates on progress, blockers, and key learnings to founders and execs. What Were Looking For 8+ years total experience in tech project delivery, consulting, or vendor management, including 2+ years leading AI/ML initiatives. Proven grasp of applied AI/ML (LLMs, computer vision, MLOps, model evaluation). Track record of steering external vendors or partners to successful outcomes. Comfort operating in ambiguityable to simplify, prioritise, and execute quickly. Solid project-management toolkit; Agile or Lean Startup exposure preferred. Exceptional communication and documentation skills for technical and non-technical audiences. Ability to independently vet technical approaches and propose improvements. .

Job Summary: We are seeking an exceptional Chief Technology Officer to join our leadership team. As a key member of our executive team, the CTO will be responsible for leading the development and implementation of our technology strategy, driving innovation, and ensuring the effective use of technology across the organization. The successful candidate will have a strong background in technology leadership, with experience in designing and leading digital strategies, process automation, and AI technologies. Key Responsibilities: 1. Technology StrategyDevelop and implement a comprehensive technology strategy that aligns with the company's business goals and objectives. 2. Digital TransformationLead the design and implementation of digital solutions to drive business growth, improve efficiency, and enhance customer experiences. 3. Process AutomationIdentify opportunities to automate business processes using new age technologies such as RPA, machine learning, and AI. 4. Project ManagementOversee the planning, execution, and delivery of technology projects, ensuring they are completed on time, within budget, and to the required quality standards. 5. Technology RoadmapDevelop and maintain a technology roadmap that outlines the company's short-term and long-term technology plans. 6. Talent DevelopmentBuild and lead a high-performing technology team, focusing on talent development, retention, and succession planning. 7. Partnerships & CollaborationsFoster partnerships with external organizations to stay ahead of the curve in terms of technology trends and innovation. 8. Budgeting & Financial PlanningDevelop and manage the technology budget, ensuring effective allocation of resources to drive business growth. Requirements: 1. EducationBachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred. 2. Experience15+ years of core tech implementation experience in leadership roles. 3. Skills: o Strong technical expertise in cloud computing, data analytics, AI/ML, and software developmento Excellent leadership and management skillso Strong communication and collaboration skillso Ability to think strategically and make data-driven decisionso Experience with project management methodologies such as Agile or Waterfall4. CertificationsCertified IT Professional (CITP) or Certified Information Systems Manager (CISM) preferred.

ROLE: The key tasks will be developing innovative products, services, and internal efficiency solutions based on Generative Artificial Intelligence technologies. With every product and service we build, we aim for significant scale within our potential user base of tens of millions of customers across many countries, or among our 200m+ employees worldwide. In building such products and services, you will be in charge of leveraging our outstanding wealth of customer and other data, in a secure, safe, and privacy-compliant way along our vision of human-centered technology. You will be a pivotal part of the spear-heading Generative AI development team of Deutsche Telekom, working in close cooperation with other key AI experts as well as subject matter experts of areas across the company building product and services with and for the latter. You will be expected to provide key guidance on how to use cutting-edge Generative AI technologies in building telco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those will include: Generative AI model/architecture selection, training/fine-tuning data set design and preparation, training pipeline design/setup, training/fine-tuning execution, meta-parameter optimisation, design and development of model orchestration technology (using Langchain or similar technologies) for e.g. On-parametric knowledge retrieval and tool access, testing, etc. You will build products/services based on both cutting-edge external Generative AI technology and be responsible for own Generative AI model development/enhancement. We believe in in the success of a sound mixture of both: (1) using leading-edge external technology ensures speed and sharpens our understanding of the space; (2) building our own, likely opensource-based, Generative AI models will be pivotal for a number of use cases, and helps us mitigate potential risks for our company and its customers. You will work in agile, empowered development teams in close synch with software engineers, product owners, customer experience and subject matter experts, amongst others. You will act as a trusted advisor for key technical / data science guidance on Generative AI and AI more broadly – incl.to senior management -- to help building the key brain trust on Generative AIin DT and the broader telco industry. Deutsche Telekom is supporting AI / data science experts in external scientific publication as long as Deutsche Telekom proprietary/confidential knowledge and our brand are safeguarded. SKILLS AND QUALIFICATIONS Comprehensive and deep expert knowledge and 2+ years of experience in Generative AI technologies and 8+ years of experience in Data Science, with significant and extended hands-on experience in developing Generative AI models and potentially supportive/orchestrating technologies of the latter Ideally extensive experience in building scaling products based on Generative AI technologies Solid experience in software development, open source programming languages Strong knowledge of cloud technologies like AWS, Azure etc. Experience in managing stakeholder expectations by being highly flexible as well as driving proactive and reactive communication. Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders Extensive and long term experience inmulti-cultural environments Excellent communication skills in leading AI technology/strategy discussions in development teams and in meetings with senior management. Should be able to explain complex topics in “crisp simple” language to top management Strong community engagement in opensource is highly appreciated Strong track record working in virtual settings across globally distributed teams, strong social and interpersonal/intercultural skills Able to act quickly, set new technical directions, empower the team to make decisions and aid the team with smart but fast decisions and engage in focused experimentation. Results Driven -confident, thrives on hard work and consistent challenge, and is quick on his/her feet. Monitors quantitative progress measures and acts quickly on deviations from plan Creative thinking to push the envelope of Generative AI model optimisation and products (e.g. novel architectures, loss functions, or training techniques) Ability and drive to balance AI and product development with ethical considerations ((e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts Fluency in English is a must. Technology education: Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome

AI Project Manager is a senior project management role focused on leading the development and implementation of AI/GenAI projects. The ideal candidate will have a strong understanding of AI/GenAI technologies, experience managing complex projects in a technical environment, and the ability to lead and motivate cross-functional teams. You Have: Bachelor's or Master's degree in Computer Science with overall experience of 10-15 years and working as a Project Manager, preferably in AI/ML or technology platforms. Strong understanding of GenAI technologies and development processes. Experience with Agile methodologies and product management tools. Leadership experience in a technical project management role. Excellent problem-solving, organizational, and analytical skills. It would be nice if you also had: Experience in managing AI/ML platforms or tools. Familiarity with software development and data science workflows. Ability to translate complex technical concepts into clear, actionable plans. Define project scope, objectives, and deliverables in collaboration with stakeholders. Develop detailed project plans, including timelines, milestones, and resource allocation. Monitor project progress and make adjustments as necessary to ensure successful completion. Act as the primary point of contact for project stakeholders. Communicate project status, risks, and issues to stakeholders in a timely manner. Manage stakeholder expectations and ensure alignment with project objectives. Prepare and present project reports to stakeholders and senior management. Responsible for defining project scope, managing timelines and budgets, ensuring quality deliverables, and communicating effectively with stakeholders.

As a Consultant in Automation domain, you will be responsible for delivering automation use cases enabled by AI and Cloud technologies. In this role, you play a crucial part in building the next-generation autonomous networks. You will develop efficient and scalable automation solutions, you will leverage your technical expertise, problem-solving abilities, and domain knowledge to drive innovation and efficiency. You have: Bachelor's degree in Computer Science, Engineering, or a related field preferred, with 8-10+ years of experience in automation or telecommunications. Understanding of telecom network architecture, including Core networks, OSS, and BSS ecosystems, along with industry frameworks like TM Forum Open APIs and eTOM. Practical experience in programming and scripting languages such as Python, Go, Java, or Bash, and automation tools like Terraform, Ansible, and Helm. Hands-on experience with CI/CD pipelines using Jenkins, GitLab CI, or ArgoCD, as well as containerization (Docker) and orchestration (Kubernetes, OpenShift). It would be nice if you also had: Exposure to agile development methodologies and cross-functional collaboration. Experience with real-time monitoring tools (Prometheus, ELK Stack, OpenTelemetry, Grafana) and AI/ML for predictive automation and network optimization is a plus. Familiarity with GitOps methodologies and automation best practices for telecom environments. Design, develop, test, and deploy automation scripts using languages such as Python, Go, Bash, or YAML. Automate the provisioning, configuration, and lifecycle management of network and cloud infrastructure. Design and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, or Tekton. Automate continuous integration, testing, deployment, and rollback mechanisms for cloud-native services. Implement real-time monitoring, logging, and tracing using tools such as Prometheus, Grafana, ELK, and OpenTelemetry. Develop AI/ML-driven observability solutions for predictive analytics and proactive fault resolution, integrating AI/ML models to enable predictive scaling. Automate self-healing mechanisms to remediate network and application failures. Collaborate with DevOps and Network Engineers to align automation with business goals.

Certified AWS Consultant with hands-on experience in AI platform development projects Experience in setting up, maintaining, and developing cloud infrastructure Proficiency with Infrastructure as Code tools such as CloudFormation and/or Terraform Strong knowledge of AWS services including SageMaker , S3 , EC2 , etc. In-depth proficiency in at least one high-level programming language ( Python , Java , etc.) Good understanding of data analytics use cases and AI/ML technologies Primary Skills SageMaker,S3, EC2 CloudFormation / Terraform Java/Python AI/ML

Databuzz is Hiring for Data Scientist(Python and Notebooks)-6+yrs-(Mumbai)-Hybrid Please mail your profile to haritha.jaddu@databuzzltd.com with the below details, If you are Interested. About DatabuzzLTD: Databuzz is One stop shop for data analytics specialized in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure and Devops. We are an MNC based in both UK and INDIA. We are a ISO 27001 & GDPR complaint company. CTC - ECTC - Notice Period/LWD - (Candidate serving notice period will be preferred) Position: Data Scientist(Python and Notebooks) Location: Mumbai Exp -6+ yrs Mandatory skills : Candidate should have 3-7 years of experience in data science or related field Proficiency in Python and Jupyter Notebooks Familiarity with Teradata and data lake house concepts Basic understanding of machine learning algorithms and statistical modeling Familiarity with on premise AIML solutions Basic understanding of Explainable AI concepts and techniques Regards, Haritha Talent Acquisition specialist haritha.jaddu@databuzzltd.com

Greetings!!! Position: Sr. Gen AI Technical Architect Budget: Open Type: FTE/Lateral Location: Pune, Bangalore, Hyderabad(Ind) Experience: 10 - 12 Yrs. SKILLS Python Java C++ ai/ml Gen ai Architect

Your role as a Technical Program Manager is to help our clients across geographies & verticals deliver their strategic priorities.. The ideal candidate will have a strong background in project and product management, exceptional leadership and communication skills, and a proven track record of driving successful outcomes in a fast-paced environment.. Typical work week looks like:-. Achieving excellence in client experience with focus on digital initiatives, CRM, client onboarding and suitability.. Supporting transformational change including business change initiatives, post merger integration PMO.. At client projects your responsibilities can typically include but is not limited to. Strategy, business case and target operating model definition. Business analysis and business process re engineering based on industry best practices and our accelerators. Project management. Risk management. Change management. Organization design and development. Our ideal candidate should have:-. A combination of Btech (computer science, IT, any other related field) + MBA (Business Management, Project Management, Statistics or any other related field). A Techie turned into a Program / Product Manager.. 5+ years of experience managing AI/ML-based B2B products with a background in technical program management or engineering preferably in a fast-paced environment.. 2+ Years of experience in leadership/team management, with the ability to effectively collaborate with cross-functional teams.. Experience within a management consulting company would be a plus.. Proven track record in successfully managing complex projects from initiation to completion.. Exceptional leadership and team management skills, inspiring and guiding cross-functional teams to excel.. Excellent communication skills with structured thinking & clear logical thought processes. Strong Client Management skills which include expectation management, project scoping, and sequencing assistance, and is the internal voice of the client within ORI and vice versa.. Strong problem-solving and decision-making abilities, focused on delivering top-notch results.. The ability to present ideas and cross-sell/upsell offerings to clients in a convincing manner and the ability to present to internal teams the client requirements, expectations, reviews, and next steps.. What you can expect from ORI:-. Passion & happiness in the workplace with great people & open culture with amazing growth opportunities.. An ecosystem where leadership is fostered builds an environment where everyone is free to take necessary actions to learn from real experiences.. Chance to work on the cutting edge of technology.. Freedom to pursue your ideas and innovate with multiple technologies. Join our dynamic team and be part of driving success and leading projects that make a real impact!. Apply your exceptional project management expertise and leadership skills to deliver remarkable. outcomes for our organization..

Job Title: Technical Program Manager Data Engineering & Analytics Experience : 16 - 25 Years ( Relevant Years ) Salary : Based on Current CTC Location : Chennai and Hyderabad Notice Period : Immediate Joiners Only. Position Overview: We are seeking an experienced Program Manager to lead large-scale, complex Data, BI, and AI/ML initiatives. The ideal candidate will have a deep technical understanding of modern data architectures, hands-on expertise in end-to-end solution delivery, and a proven ability to manage client relationships and multi-functional teams. This role will involve driving innovation, operational excellence, and strategic growth within Data Engineering & Analytics programs. Job Description: Responsible to manage large and complex programs encompassing multiple Data, BI and AI/ML solutions Lead the design, development, and implementation of Data Engineering & Analytics solution involving Teradata, Google Cloud Data Platform (GCP) platform, AI/ML, Qlik, Tableau etc. Work closely with clients in understanding their needs and translating them to technology solutions Provide technical leadership to solve complex business issues that translate into data analytics solutions Prepare operational/strategic reports based on defined cadences and present to steering & operational committees via WSR, MSR etc Responsible for ensuring compliance with defined service level agreements(SLA) and Key performance indicators(KPI) metrics Track and monitor the performance of services, identify areas for improvement, implement changes as needed Continuously evaluate and improve processes to ensure that services are delivered efficiently and effectively Proactive identification of issues and risks, prepare appropriate mitigation/resolution plans Foster positive work environment and build culture of automation & innovation to improve service delivery performance Developing team as coach, mentor, support, and manage team members Creating SOW, Proposals, Solution, Estimation for Data Analytics Solutions Contribute in building Data Analytics, AI/ML practice by creating case studies, POC etc Shaping opportunities and create execution approaches throughout the lifecycle of client engagements Colloborate with various functions/teams in the organization to support recruitment, hiring, onboarding and other operational activities Maintain positive relationship with all stakeholders and ensure proactive response to opportunities and challenges. Must Have Skills : Deep hands-on expertise in E2E solution life cycle management in Data Engineering and Data Management. Strong technical understanding of modern data architecture and solutions Ability to execute strategy for implementations through a roadmap and collaboration with different stakeholders Understanding of Cloud data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT Would be good to have experience in driving AI/ML, GenAI projects Experience with cloud-based data analytic platforms such as GCP, Snowflake, Azure etc Good understanding of SDLC and Agile methodologies Would be good to have a Telecom background. Must gave handled team size of 50+ Qualification: 15-20 yrs experience primarily working on Data Warehousing, BI& Analytics, Data management projects as Tech Architect, delivery, client relationship and practice roles - involving ETL, reporting, big data and analytics. Experience architecting, designing & developing Data Engineering, Business Intelligence and reporting projects Experience on working with data management solutions like Data Quality, Metadata, Master Data, Governance. Strong experience in Cloud Data migration programs Focused on value, innovation and automation led account mining Strong Interpersonal, stakeholder management and team building skills

Role & responsibilities AI/ML Development: Build and optimize models using TensorFlow, PyTorch for tasks across text, image, voice, and video. Agentic AI: Create autonomous agents using ReAct, AutoGPT, and LangChain with task orchestration and governance. Multimodal Analytics: Apply deep learning for insights from images, video, voice, and text using CNNs and NLP. Cloud Deployment: Use AWS, Azure, and tools like SageMaker for scalable model deployment and integration. Collaboration & Innovation: Partner with teams, track performance, document work, and adopt latest AI/ML practices. Preferred candidate profile Experience:7-9 years in AI/ML with hands-on work in deep learning, LLMs, Generative AI, and deploying models to production. Technical Skills: Proficient in Python, ML frameworks (TensorFlow, PyTorch), and various learning techniques (supervised to reinforcement). Agentic AI & NLP: Skilled in Lang Chain, AutoGen, ReAct, RAG pipelines, prompt engineering, and API/tool integration. Cloud & Deployment: Experience with AWS, Azure, Docker, Kubernetes, and secure, scalable AI deployments. Education & Soft Skills: Strong analytical and communication skills; degree in CS, Engineering, Math, or related field.

Key Responsibilities: Design and develop machine learning and deep learning models for tasks such as text classification , entity recognition , sentiment analysis , and document intelligence . Build and optimize NLP pipelines using models like BERT , GPT , LayoutLM , and Transformer architectures . Implement and experiment with Generative AI techniques using frameworks like Hugging Face , OpenAI APIs , and PyTorch/TensorFlow . Perform data collection, web scraping , data cleaning , and feature engineering for structured and unstructured data sources. Deploy ML models using Docker , Kubernetes , and implement CI/CD pipelines for scalable and automated workflows. Use cloud services (e.g., GCP , Azure AI ) for model hosting, data storage, and compute resources. Collaborate with cross-functional teams to integrate ML models into production-grade applications. Apply MLOps practices including model versioning, monitoring, retraining pipelines, and reproducibility. Technical Skills: Languages & Libraries: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Seaborn, XGBoost, NLTK, Hugging Face, BeautifulSoup, Selenium, Scrapy Modeling & NLP: Logistic Regression, Random Forest, SVM, CNN, RNN, Transformers, BERT, GPT, LLMs Tools & Platforms: Git, Docker, Kubernetes, CI/CD, Azure AI Services, GCP, Vertex AI Concepts: Machine Learning, Deep Learning, MLOps, Generative AI, Text Analytics, Predictive Analytics Databases & Querying: Basics of SQL Other Skills: Data Visualization (Matplotlib, Seaborn), Model Optimization, Version Control

Lead full-stack development using React, Node.js, Python, AWS, Docker & AI. Manage E2E delivery, mentor teams, design cloud infrastructure, and ensure scalable, high-quality code in a remote agile environment. Provident fund

Online / WALK-IN for Assistant Professor/Associate Professor (ECE/ISE/CSE/AIML/DS/IT) Asst/Asso Prof(eligibility: Mtech/ME and above) Lab Instructor(eligibility: Btech) Interview Date: 17th May - 31st May 2025 Contact/ Share Resume to : 8431768099 Role & responsibilities: 1. Teaching: Deliver lectures and lead classroom discussions. Develop and update course syllabi and materials. Evaluate and assess student performance through assignments, exams, and projects. Provide academic advising and mentorship to students 2. Research: Conduct independent and collaborative research. Publish research findings in peer-reviewed journals and present at academic conferences. Secure research funding and grants. 3. Service: Participate in departmental, college, and university committees. Contribute to curriculum development and program improvement. Engage in community service and outreach activities. 4. Professional Development: Stay updated with advancements in the field. Participate in workshops, seminars, and conferences to enhance teaching and research skills. 5. Other Responsibilities: Maintain office hours for student consultations. Collaborate with colleagues on interdisciplinary projects. Uphold academic integrity and institutional values. Preferred candidate profile: A Ph.D. or M.tech or equivalent terminal degree in the relevant field. Proven teaching experience at the undergraduate or graduate level. Strong record of scholarly research or potential for research excellence. Excellent communication, interpersonal, and organizational skills. Experience with curriculum development and instructional innovation. Ability to mentor students and foster their academic and professional growth. Collaborative and collegial approach to teamwork.

We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. Design and implement databases in Postgres DB, apply & implement ingestion and retrieval pipelines using pgvector, neo4j, ensuring efficient and secure data practices. Use different generative AI models & frameworks such as LangChain, Haystack, LlamIndex etc for chucking, embeddings, chat completions, integration with different data sources etc. Familiarity and experience with different agentic frameworks and technique like Langgraph, AutoGen, CrewAI, tool using techniques like MCP (Model Context Protocol). Use Azure & AWS cloud platforms in implementation to stay relevant to company AI guidelines requirements. Usage of OpenAPI standards, API first approach to develop APIs for communication between different software components. Collaborate with the team members to integrate various GenAI capabilities into the applications, including but not limited to RAG. Write clean, maintainable, and efficient code that adheres to company standards. Conduct testing to identify and fix bugs or vulnerabilities. Use collaboration and versioning tools such as GitHub for effective team working and code management. Stay updated with emerging technologies and apply them into operations and activities. Show a strong desire for continuous learning and the ability to quickly adapt and implement new technologies. Bachelor's degree in Computer Science, Information Technology, or a related field with 6+ years of working experience. Proven experience as a Full Stack Developer or similar role in designing, developing and deploying end to end applications. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery). Experience with Angular and NDBX frameworks. Good experience with database technology such as Postgres DB, vector databases. Experience developing APIs following the OpenAPI standards. Understanding & experience in various generative AI models on cloud platforms such as Azure/ AWS, including Retrieval Augmented Generation, Prompt engineering, Agentic RAG, Agentic frameworks, Model context protocols etc. Experience with collaboration and versioning tools such as GitHub Experience with docker images, containers to package up an application with all the parts it needs, such as libraries and other dependencies, and ship it all out as one package. Functional Demonstrated responsiveness and accuracy Strong collaboration and teamwork skills Behaviours Take Ownership & Accountability Assertiveness & Persuasiveness Great attention to detail and problem-solving skills. Self-motivated with a keen interest in learning and implementing new technologies.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

5+ years of strong hands-on experience in Python programming 2+ years of experience working with AI tools and technologies Successfully delivered 2–3 AI implementation projects or use cases

Mode - Work from Office No of Days 5days of working Shift Timing – 2.00pm to 11.00pm Location - Kochar Tower, V Floor, No. 19, Venkatnarayanan Road, T. Nagar, Chennai 600 017 Please share your updated resume to proceed further. Roles and Responsibilities Develop machine learning models to solve specific business problems. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Deploy ML models into production environments using frameworks like Django. Write clean, maintainable code in Python, focusing on AI and ML development. Work with large datasets to train machine learning models. Implement APIs in Django for serving predictions made by ML models. Analyse and interpret complex data to derive insights and support decision-making. Design and implement machine learning models to analyse trends and patterns. Use Django to build data-driven applications that visualize results. Develop and maintain AI models and systems that help automate tasks. Work on natural language processing, computer vision, or other AI subfields. Use Django to create user interfaces for AI model interactions. Build end-to-end applications, integrating front-end and back-end technologies. Implement machine learning and AI features in web applications built with Django. Ensure that applications are scalable and maintainable. Manage the deployment and scaling of machine learning models in production. Use containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) for AI solutions. Monitor and optimize resource usage for machine learning applications built with Django. Use Django to create RESTful APIs for accessing ML model predictions and integrating with other systems. Implement testing strategies to ensure the quality and performance of algorithms and applications. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Write clean, maintainable code in Python, focusing on AI and ML development. Proficiency in Python, as well as familiarity with frameworks like Django for web development. Understanding of machine learning concepts, algorithms, and best practices. Experience with data libraries such as Pandas, NumPy, and visualization tools like Matplotlib or Seaborn. Familiarity with Git for version control. Knowledge of deployment techniques and cloud platforms (e.g., AWS, Google Cloud) for hosting applications. Strong communication skills to help convey technical details to non-technical stakeholders of Form

Collaborate with teams to analyze business data on shipping, customer behavior,market trends, and financials.Use data visualization tools to create dashboards,conduct ad-hoc analyses for optimization & prepare reports,stay updated on industry trends. Required Candidate profile Bachelor’s degree & Business Analytics certification. AI/ML knowledge a plus. Strong business acumen in shipping KPIs. Excellent communication, analytical, and problem-solving skills. Team-oriented.

Role & responsibilities Industry knowledge - Knows basics of machine learning, is aware of cloud services, Azure services, has a deep understanding of coding practices, knows how to guide teams on debugging the issues, can connect the dots to arrivie at a solution and is very good at presentation of the ideas, thoughts and solutions. Technical knowledge - has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to Expertise in Object Oriented Python Programming with 4 -5 years experience. DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication - Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Preferred candidate profile Education and Experience: Overall, 6 to 8 years of experience in Data driven software engineering with 3-5 years of experience designing, building and deploying enterprise AI or ML applications with at least 2 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows) Bachelors or Master’s degree in Computer Science Engineering or equivalent Domain experience in Retail, CPG and Logistics etc. Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools Knowledge : Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices and tools such a MLFlow, Kubernetes, etc. Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Role Purpose The purpose of the role is to lead various automation initiatives pertaining to strategic accounts in a BU ensuring better client engagement Do 1. Lead automation roadmaps and strategies for various BUs Ensure complete understanding of requirements needed to implement automation of various accounts in BUs Do shortlisting of accounts depending upon the size of account and their ability to accommodate maturity Drive automation maturity in the shortlisted accounts to the next level Align the customers by showcasing Wipro’s capability to drive automation and ROI achievement for the customer Ensure contractual commitments for a particular project are met by understanding the scope and requirements Ensure the desired software and infrastructures are implemented required for automation Ensure scalable standards of dashboard and process support system for active automation monitoring Develop and review the Account Automation Plans for each account in consultation with the account partners and delivery teams Review the automation projects on progress and resolves complex escalations related to operations, production, quality control, schedules and maintenance Come up with solution of the problems regarding automation persistent in development unit Manage the appropriate level of access control to protect export controlled, proprietary, and sensitive project information Periodically review the project status completion vis-a vis the project plan and ensure successful roll out Review the upcoming automation trends, technologies and ways of working and identify the capability gap within the team Responsible to maintain customer relationships and derive maximum customer references to ensure business continuity Receive feedback from the customers and align resources internally to close all the gaps Deliver No. Performance Parameter Measure 1. Client Engagement CSAT, Customer reference, Customer Solutions, mean time to resolve customer issues (MMT reducing trend) 2. BOT implementation Work done by the bots for platform/non platform accounts, No. of platform accounts per DU Mandatory Skills: AI ML Ops Infrastructure. Experience5-8 Years.