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.

Overview Build High complex Reporting Gen Ai solutions, by integrating with the PEPGENX Platform Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize LLM, data models and reporting processes for performance and scalability Ensure LLM Models are grounded through Prompt Engineering, RAG & Other methods Build or Modify Orchestration layers as needed Apply Evaluation Techniques to validate LLM's accuracy Ensure data/model accuracy, consistency, and integrated in all reporting solutions. Conduct Various Tests likeSIT, UAT & More, fix all the bugs or issues identified Perform Code Scan and fix any anomalies identified during the scan Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications Stay updated with the latest advancements in GenAi and reporting technologies and apply them to improve existing solutions Responsibilities Build High complex Reporting Gen Ai solutions, by integrating with the PEPGENX Platform Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize LLM, data models and reporting processes for performance and scalability Ensure LLM Models are grounded through Prompt Engineering, RAG & Other methods Build or Modify Orchestration layers as needed Apply Evaluation Techniques to validate LLM's accuracy Ensure data/model accuracy, consistency, and integrated in all reporting solutions. Conduct Various Tests likeSIT, UAT & More, fix all the bugs or issues identified Perform Code Scan and fix any anomalies identified during the scan Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications Stay updated with the latest advancements in GenAi and reporting technologies and apply them to improve existing solutions Qualifications Masters degree in computer science or data science or AI/ML, or a related field. 8-11 years overall experience; 6+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing AI-driven reporting solutions. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Experience with big data technologies like Hadoop, Spark, or similar. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices.

Job Title:AI/ML (Artificial Intelligence & Machine Learning) Algorithms Experience:7-10 Years Location:Pune/Bangalore : Python, AI/ML Solutions

Responsibilities Define and manage product backlog Prioritize features and tasks Ensure technical feasibility and compliance Coordinate with founders and developers Support sprints and timely delivery Contribute to building the tech team Work from home Performance bonus

We are seeking highly skilled and experienced Senior Investment Strategists / Lead Fund Advisors to lead the development and execution of innovative investment strategies. The ideal candidates will combine deep expertise in fund management with a strong understanding of AI/ML applications in finance to build scalable fintech solutions. Key Responsibilities: Lead the design, development, and execution of investment models and mutual fund recommendation strategies. Collaborate with AI and machine learning teams to integrate advanced analytics into investment decision-making. Ensure all investment strategies comply with relevant regulatory requirements (SEBI/AMFI). Provide expert advisory on portfolio optimization and risk management. Mentor junior team members and contribute to building a high-performance investment advisory team. Stay updated on market trends, regulatory changes, and emerging fintech innovations to maintain a competitive edge. Qualifications & Experience: CFA Charterholder OR CFP certification (mandatory). Advanced degree in Finance preferred. Minimum 5 years of relevant experience in investment strategy, fund management, or mutual fund advisory. Proven track record of managing portfolios and delivering data-driven investment solutions. Strong expertise in financial modeling, portfolio analytics, and quantitative analysis. Knowledge of AI/ML applications in finance is highly desirable. Deep understanding of regulatory compliance frameworks (SEBI/AMFI). Key Skills: Investment Strategy & Fund Management Mutual Fund Advisory Portfolio Optimization Financial Modeling & Analytics Regulatory Compliance (SEBI/AMFI) Collaboration with AI/ML Teams Data-Driven Decision Making

Role & responsibilities We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and improving backend services and applications, ensuring high performance and responsiveness to requests from the front end. If you have a passion for problem-solving, clean code, and scalable applications we want to hear from you! Key Responsibilities: Develop, test, and maintain robust and scalable Python-based applications. Collaborate with front-end developers, product managers, and other stakeholders to integrate user-facing elements with server-side logic. Build and maintain APIs, services, and data pipelines. Write clean, reusable, and efficient code following best practices. Participate in code reviews and provide constructive feedback. Troubleshoot and debug applications, optimizing performance. Integrate data storage solutions (SQL and NoSQL databases). Stay up to date with emerging trends and technologies in software development. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Proficient in Python 3.x with a strong understanding of Pythonic principles. Experience with Python frameworks like Django , Flask , or FastAPI . Strong knowledge of RESTful API design and development . Good knowledge of python, DS, Pandas, Scikit, NumPy, TensorFlow, Keras etc. AI/ML exp mandatory Experience working with relational databases (e.g., PostgreSQL , MySQL ) and/or NoSQL databases (e.g., MongoDB ). Familiarity with version control tools like Git . Good understanding of software testing, debugging, and performance optimization. Solid problem-solving skills and attention to detail. Preferred (Bonus) Skills: Experience with Docker , Kubernetes , or other containerization technologies. Familiarity with cloud platforms (AWS, Azure, GCP). Knowledge of asynchronous programming (e.g., asyncio). Understanding of CI/CD pipelines . Experience in data science, machine learning, or DevOps is a plus

Main Skills : AI Architect (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks. - Create chatbots and work on image processing. - Collaborate with team members to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP). Pls share cvs to parul@mounttalent.com

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

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. Role & 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. Preferred candidate profile 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@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

Solution Technical Architect. Position Overview As a Technical Architect specializing in mobile and web application development, you will be responsible for designing and architecting innovative solutions that leverage the latest technologies and best practices. You will collaborate closely with cross-functional teams to define technical requirements, design system architectures, and ensure successful implementation. Your expertise in React Native, Angular, Java Spring, microservices architecture, AWS, AI/ML,Python and DevOps will be instrumental in guiding our mobile development initiatives. Key Responsibilities - Lead the architectural design and development of mobile applications using React Native, Expo, and Angular, ensuring adherence to best practices and industry standards.- Design and implement scalable and resilient microservices architectures to support mobile applications, leveraging Java Spring and other relevant technologies.- Collaborate with development teams to define technical requirements, architecture diagrams, and implementation plans for mobile projects.- Provide technical guidance and mentorship to development teams, ensuring alignment with architectural principles and coding standards.- Evaluate and recommend tools, frameworks, and technologies to enhance the mobile development process and improve efficiency.- Implement best practices for CI/CD, automation, and DevOps processes to streamline the mobile application deployment pipeline.- Ensure compliance with security, performance, and scalability requirements in mobile application architectures and implementations.- Collaborate with AWS architects to design and implement cloud-based solutions for mobile applications, leveraging AWS services and infrastructure with a primary objective of scaling and performance.Qualifications - Bachelor's degree in computer science, Engineering, or related field.- Proven experience as a Technical Architect with expertise in mobile application development.- Extensive hands-on experience with React Native, Expo, Angular, Java Spring, microservices architecture, AWS, AI/ML,Python and DevOps.- Strong understanding of mobile application design patterns, performance optimization techniques, and security best practices.- Experience designing and implementing scalable, distributed systems for mobile applications.ApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

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.ApplySaveSaveProInsights

Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite. Key Responsibilities: Lead the AI CoE team, ensuring alignment with business objectives. Oversee the design, development, and deployment of AI/ML models for financial use cases. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices. Required Experience: 8-12 years of experience in AI/ML technologies, with at least 3 years in a leadership role. Strong background in AI/ML model development and deployment, particularly in the financial services sector. Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). Tech Specifics: Programming Languages: Expert-level proficiency in Python (e.g., NumPy, Pandas) and R for AI/ML development; familiarity with Scala is a plus. AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn for building and optimizing models; exposure to Hugging Face for NLP/Generative AI tasks. MLOps Tools: Strong command of Docker and Kubernetes for containerization, and Jenkins or GitHub Actions for CI/CD pipelines. Cloud Platforms: Deep expertise in AWS (e.g., SageMaker, Lambda), Azure (e.g., Machine Learning Studio), or GCP (e.g., AI Platform, BigQuery) for scalable model deployment. Big Data Technologies: Working knowledge of Apache Spark or Hadoop for processing large financial datasets. Database Skills: Proficiency in SQL and experience with NoSQL databases like MongoDB or Cassandra for data integration. Generative AI: Practical experience with models like GPT, LLaMA, or BERT for applications such as automated reporting or customer chatbots.

Subject: Exciting Opportunity for Data Scientist- Face-to-Face Interview on 31st May at EY Hyderabad Office Dear Candidate, We hope this message finds you well! This is Nisha, Talent Acquisition Specialist at EY, and I am excited to inform you about an upcoming Hiring event for Data Science Role- at the EY Hyderabad Office . We are looking for talented professionals to join our team. Below are the details for the open positions: Position : Data Scientist Experience : 4-8 years Location : Hyderabad Interview Mode : Face-to-face interview at the EY Hyderabad office Interview Date : 31st May 2025 If you are interested in applying, please use the following link to apply for the role: Career Opportunities: EY - GDS Consulting - AI and DATA -Gen AI - Senior (1606310) Additionally, please share the following details in the format provided below: Years of Experience Current Compensation Relevant Experience in : GEN AI, LLM, NLP, Python, AI Solution, AI ,ML Expected Compensation Notice Period/ If your serving notice period mention last working day Will you be available to attend interview on 31st May at Hyderabad Office Yes / No Please confirm your availability for the interview by replying to Nisha.V@gds.ey.com with the requested details and updated resume. We look forward to discussing your potential with EY! Best Regards, Nisha Lead Executive

AIML Engineer, NLP, LLM, AWS, RAG Systems

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications, and advanced RAG techniques involving LLM models. And understanding of UI. Job Description Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.