496 Genai Jobs - Page 20

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

Tech Lead Do you have a burning desire to succeed? As a Tech Lead you would still want to code and work on challenging projects. If interested, you will have the opportunity to teach / mentor junior developers and aid in their career development. It does not matter what coding language you have worked in, as long you have a passion to learn and excel in whatever technology we need to adopt. We are more interested in raw talent than in an alphabet soup. The types of problems you will work on are wide-ranging from understanding and adapting health care practices, helping care givers adopt new best practices, integrate new technologies into clinical practices and measurably improve the care outcome. Attributes Our leaders must be lifelong learners, develop others and act as role models for their colleagues, teams, and external partners. An ideal technology leader would: Should work in development, deployment, testing and support. Strong desire to be an individual contributor with little to no oversight (self-directed) Be comfortable with lack of clarity and have the desire to understand business problems. Understanding of data governance principles, including data privacy, security, and compliance requirements. Have extensive software development experience in a fast paced / skunk works environment. Willingness to learn new things, commit to delivering short cycles and ability to course correct with short experiments. Obsess over metrics to understand coverage, adoption and use of solutions. He / She will want to drive value in what we build rather than just explore technology. Develop and work with KRAs aligned to business metrics. Develop KPIs to help track progress. Be keen on creating time-bound projects without compromising quality and functionality. Understand a variety of working technologies down to first principles, and a desire to add more to the list. Continuously seeks and learns new technologies that improve our solution quality, reliability, scalability, performance and maintainability. Be willing to work collaboratively with others on the team, SMEs and partners. Have a keen eye for automation and process improvement. Should have the ability to discern repetitive tasks and use of technology to create process efficiencies. One important characteristic we look for is how eager you are to contribute to help others grow, and to make work and the environment better than how you found it. Description This is a key position for VHT to help create technology that will put us at the leadership position in our industry. This hands-on Technical Leader position will include building and implementing MVP solutions of products that will help us create the new wave of technology led innovation in healthcare for financial and clinical administration. You will be the lead technologist for development and implementation of a multitude of MVP products and take them to helping us be competitive in the market. As the product reaches market you will work closely with operations and client services leaders to produce key capabilities, while ensuring stability, security, scalability and high availability of our systems. Your role will require you to work closely with subject matter experts in clinical and financial administration of practices, health systems, hospitals and payors. Your projects will include working with existing technologies within the health systems; reimagine how work gets done within the scope of a clinical encounter all the way to completing the financial transaction for the patient-physician encounter, and technology solutions outside of the encounter into the back office. We will reimagine how providers-patient-payers interact within the healthcare system to ensure that providers are able to the highest quality of patient care. You would want to solve complex problems and have a natural attraction to ill-defined problems that seemingly are intractable and transform them into solutions. You find yourself in the middle of what seems to be chaos, but you know you can find the order in it. You want to create an impact on solving complex problems for the love of technology. If you are looking for a place to be disruptive, building an inspiring and talented team, a place where you can see your technological scale; VHT could be the place you are looking for! Requirements As a Tech Lead you are expected to take on complex problems and solve them from start to end. You will be responsible for: Responsible for understanding product requirements, identifying gaps and innovating processes to fill the gaps. Excellent understanding of advanced machine learning, GenAI and visualization techniques for NLP algorithms . Have expertise in a common data science toolkit, such as R/Python . Proficiency in using analytics tools and libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, Hadoop, and Spark. Oversee the development, training and deployment of machine learning models. Have prior UNIX/Linux (GPU) familiarity and RDBMS experience. Ability to adapt to new technology and quickly learn new tools and frameworks. Ensuring we deliver a high-quality product / platform and turnaround bug fixes. Good to have experience in Azure DevOps and Jira for streamlined project management and continuous integration/deployment processes. Skilled in visualizing/presenting data using BI tools, e.g., PowerBI, Tableau, Plotly, D3.js, Datawrapper, etc. You would have experience working with product managers, support and sales teams from time to time. You will have experience working with junior developers and be looked up as a team leader. You will have 6-8 years professional work experience as a Software Developer. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase , etc., is an added advantage.

Looking for a highly skilled GenAI Scientist with a strong expertise in the field of LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, hands-on approach to research, development, and implementation of cutting-edge AI solutions.

Overview: We are looking for a hands-on, full-cycle AI/ML Engineer who will play a central role in developing a cutting-edge AI agent platform. This platform is designed to automate and optimize complex workflows by leveraging large language models (LLMs), retrieval-augmented generation (RAG), knowledge graphs, and agent orchestration frameworks. As the AI/ML Engineer, you will be responsible for building intelligent agents from the ground up including prompt design, retrieval pipelines, fine-tuning models, and deploying them in a secure, scalable cloud environment. Youll also implement caching strategies, handle backend integration, and prototype user interfaces for internal and client testing. This role requires deep technical skills, autonomy, and a passion for bringing applied AI solutions into real-world use. Key Responsibilities: Design and implement modular AI agents using large language models (LLMs) to automate and optimize a variety of complex workflows Deploy and maintain end-to-end agent/AI workflows and services in cloud environments, ensuring reliability, scalability, and low-latency performance for production use Build and orchestrate multi-agent systems using frameworks like LangGraph or CrewAI, supporting context-aware, multi-step reasoning and task execution Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases (e.g., Qdrant, Pinecone, FAISS) to power semantic search and intelligent document workflows Fine-tune LLMs using frameworks such as Hugging Face Transformers, LoRA/PEFT, DeepSpeed, or Accelerate to create domain-adapted models Integrate knowledge graphs (e.g., Neo4j, AWS Neptune) into agent pipelines for context enhancement, reasoning, and relationship modeling Implement cache-augmented generation strategies using semantic caching and tools like Redis or vector similarity to reduce latency and improve consistency Build scalable backend services using FastAPI or Flask and develop lightweight user interfaces or prototypes with tools like Streamlit, Gradio, or React Monitor and evaluate model and agent performance using prompt testing, feedback loops, observability tools, and safe AI practices Collaborate with architects, product managers, and other developers to translate problem statements into scalable, reliable, and explainable AI systems Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, agentic frameworks, and AI/ML technologies Prerequisites: Strong Python development skills, including API development and service integration Experience with LLM APIs (OpenAI, Anthropic, Hugging Face), agent frameworks (LangChain, LangGraph, CrewAI), and prompt engineering Experience deploying AI-powered applications using Docker, cloud infrastructure (Azure preferred), and managing inference endpoints, vector DBs, and knowledge graph integrations in a live production setting Proven experience with RAG pipelines and vector databases (Qdrant, Pinecone, FAISS) Hands-on experience fine-tuning LLMs using PyTorch, Hugging Face Transformers, and optionally TensorFlow, with knowledge of LoRA, PEFT, or distributed training tools like DeepSpeed Familiarity with knowledge graphs and graph databases such as Neo4j or AWS Neptune, including schema design and Cypher/Gremlin querying Basic frontend prototyping skills using Streamlit or Gradio, and ability to work with frontend teams if needed Working knowledge of MLOps practices (e.g., MLflow, Weights & Biases), containerization (Docker), Git, and CI/CD workflows Cloud deployment experience with Azure, AWS, or GCP environments Understanding of caching strategies, embedding-based similarity, and response optimization through semantic caching Preferred Qualifications: Bachelor’s degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MS in similar field preferred 7–10 years of experience in AI/ML, with at least 2 years focused on large language models, applied NLP, or agent-based systems Demonstrated ability to build and ship real-world AI-powered applications or platforms, preferably involving agents or LLM-centric workflows Strong analytical, problem-solving, and communication skills Ability to work independently in a fast-moving, collaborative, and cross-functional environment Prior experience in startups, innovation labs, or consulting firms a plus Compensation: The compensation structure will be discussed during the interview

Position: Solution Architect / Sr. Solution Architect Business Unit: Lab Location: Ahmedabad Position Summary: You are a hard core technocrat who is able to thrive & excel in pure R&D environment. You love to work on innovative ideas that help solve customer problems using technology, has hunger to learn & push oneself to continuously raise the bar. Key Responsibilities: Work in technology agnostic environment to solve real world and futuristic problems Contribute creative use cases / ideas which can help demonstrate thought leadership to internal and external customers Own, drive and deliver Lab ideas as Tools, Insights or Proof of Concept Explore new technologies & continuously feedback to the team with sample use case project development Act as technical SME to internal and external stakeholders Mentor team members and help shape a culture of curiosity, experimentation, and engineering excellence. Qualification: B.E / B. Tech Experience: 8+ Years Desired Skills: Proven experience building end-to-end solutions with mobile, web, backend services, cloud platforms (AWS, Azure, GCP), databases and modern DevOps practices. Proven track record as a Full Stack lead or in a similar technical role. Hands-on knowledge of emerging technologies such as AI/ML, GenAI (LLMs, vector databases, model orchestration), IoT, or edge computing. Strong problem-solving skills and the ability to develop innovative solutions in the field of mobility and next-generation technologies. Capability to quickly prototype and iterate on ideas to make it mature. A proactive attitude and curiosity to stay updated with the latest technology trends. Advanced knowledge of Python along with experience in Django, Flask and FastAPI. Proficiency in in programming languages such as JavaScript and Java. Experience of working with frontend frameworks such as AngularJS and React. Expertise on one of the cloud platform such as AWS, Azure, or GCP. Good to have architect level certificate. Ability to work independently and collaboratively in a fast-paced, experiment-driven environment. Excellent verbal communication skills. About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental LeaveoLearning & Career Development Employee Wellness

Job Summary: We are seeking a highly skilled Knowledge Engineer to join our team and play a key role in developing and implementing advanced knowledge management frameworks and solutions, enhanced with Generative AI (GenAI) capabilities The successful candidate will create, maintain, and evolve a robust knowledge infrastructure, leveraging AI to drive smarter knowledge solutions across our organization This role requires a strong foundation in knowledge management, a deep understanding of AI technologies, and an ability to innovate in solution delivery Key Responsibilities : Develop Knowledge Management Frameworks: Design, build, and implement comprehensive frameworks that capture, organize, and facilitate the sharing of knowledge across teams and departments Enable Knowledge Evolution with GenAI: Drive the evolution of knowledge repositories and management systems with generative AI capabilities, ensuring the system continuously learns and improves in response to user inputs and new information Create and Maintain Solution Banks: Establish and manage a repository of solution banks that can be utilized by teams to solve recurring challenges efficiently Develop processes to update and evolve these solution banks as knowledge and technology advance Collaborate with Cross-functional Teams: Work closely with stakeholders, including engineers, data scientists, and domain experts, to understand knowledge requirements, identify gaps, and continuously improve knowledge management solutions Ensure High-Quality Knowledge Assets: Create and maintain high standards for knowledge assets, ensuring they are accurate, accessible, and aligned with organizational goals Leverage Advanced AI Techniques: Apply AI/ML techniques, particularly GenAI, to enhance knowledge retrieval, classification, and recommendation processes, making knowledge systems more intuitive and user-centric Measure and Report on Knowledge System Effectiveness: Develop metrics to measure the effectiveness of knowledge systems and GenAI implementations, using these insights to drive improvements and maximize impact Qualifications : Educational Background: Bachelors degree in Engineering, Computer Science, or a related field Experience: Proven experience in knowledge engineering or knowledge management Expertise in designing and implementing knowledge management frameworks Strong understanding of AI, specifically GenAI technologies, and their application to knowledge evolution and management Familiarity with solution bank creation and maintenance processes Experience : Minimum of 3 years in a similar role is required; overall 5 years Skills : Proficiency in knowledge management tools and systems Strong analytical and problem-solving skills, with the ability to translate complex requirements into actionable solutions Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Knowledge of AI and ML frameworks, libraries, and best practices Knowledge Engineer, Knowledge Management, Knowledge Frameworks, Generative AI, GenAI, Knowledge Infrastructure, AI Solutions, Solution Banks, Knowledge Repositories, AI/ML Techniques, Cross-functional Collaboration, Knowledge Assets, AI Technologies, Knowledge Retrieval, Knowledge Classification, Knowledge Recommendation, AI-driven Systems, Engineering, Computer Science, Knowledge Engineering, Knowledge Management Frameworks, GenAI Implementation, Solution Bank Maintenance, Analytical Skills, Problem-solving, Communication Skills, AI Frameworks, ML Frameworks, AI Libraries, Machine Learning, Knowledge Systems, Metrics Development, Continuous Improvement, User-centric Design, Knowledge Sharing, Technical Translation, Stakeholder Engagement, Innovation in AI Solutions, Knowledge Evolution

Key Responsibilities: AI Research & Optimization: Stay updated with the latest AI models, optimize cloud/custom AI engines, and enhance model efficiency using techniques like quantization and pruning. Model Development & Deployment: Train, fine-tune, and deploy AI models using TensorFlow, PyTorch, and cloud AI services (AWS SageMaker, Azure ML, Google Vertex AI). Programming & Performance Tuning: Strong coding skills in Python, CUDA, and TensorRT for AI acceleration; experience with distributed computing (Spark, Ray). Cloud & MLOps Expertise: Hands-on with AI infrastructure, containerization (Docker, Kubernetes), and performance optimization for AI workloads. Problem-Solving & Research: Strong analytical skills, ability to explore emerging AI technologies, drive innovative AI-driven solutions, and publish research papers in AI/ML conferences or journals

Sr. GenAI Engineer Manager Role Overview: As a Sr. GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. Key Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 10-13 years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

This role emphasizes leadership in service excellence & strategic quality management, with a focus on enhancing contact center processes and customer experience. The incumbent will be responsible for driving sustainable continuous improvement and transformation initiatives leveraging technology. Key Responsibilities: *Lead / mentor improvement initiatives that positively impact Client satisfaction & business profitability *Be a visionary to identify high impact strategic projects which yield in substantial Gains *Identify new technologies that are relevant to service line and have potential to be scaled *Deliver on strategic and functional goals of projects focused on cost optimization, revenue enhancement & metric enhancement. *Apply structured problem solving methodology, tools, data analytics and technology to generate value and solve business problems *Identifying process gaps & automation opportunities * Project managing improvement efforts across multiple locations and maintain consistence in effort & implementation * Interfacing with leadership/clients and identifying opportunities for value * Driving effective Change Management for a stable & consistent delivery Zero surprise operations Profile & Experience: * Bachelors degree with 11+ years of experience in contact center or outsourcing industry *Experience on Gen AI tools along-side Six Sigma/Lean/Kaizen/COPC methodologies *Exposure to drive complex improvement / transformation projects across multiple accounts/domains * Experience in Data Analytics - Machine learning / Predictive Analytics / Power BI/SQL/Python / Big Data * Preferred Certifications : Certified Analytics Professional / Google/Microsoft/AWS certified Data analytics / Data science professional certificate / Design Thinking Practitioner / Cloud Certification / Six Sigma/Lean/VSM certification * Well versed with project and program management (initiation, monitoring, stakeholder management, quality, financials, risks/issues).

This role emphasizes leadership in service excellence & strategic quality management, with a focus on enhancing contact center processes and customer experience. The incumbent will be responsible for driving sustainable continuous improvement and transformation initiatives leveraging technology. Key Responsibilities: Lead / mentor improvement initiatives that positively impact Client satisfaction & business profitability Be a visionary to identify high impact strategic projects which yield in substantial Gains Identify new technologies that are relevant to service line and have potential to be scaled Deliver on strategic and functional goals of projects focused on cost optimization, revenue enhancement & metric enhancement. Apply structured problem solving methodology, tools, data analytics and technology to generate value and solve business problems Identifying process gaps & automation opportunities Project managing improvement efforts across multiple locations and maintain consistence in effort & implementation Interfacing with leadership/clients and identifying opportunities for value Driving effective Change Management for a stable & consistent delivery Zero surprise operations Profile & Experience: Bachelors degree with 11+ years of experience in contact center or outsourcing industry Experience on Gen AI tools along-side Six Sigma/Lean/ Kaizen/ COPC methodologies Exposure to drive complex improvement / transformation projects across multiple accounts/domains Experience in Data Analytics - Machine learning / Predictive Analytics / Power BI/SQL/ Python / Big Data Preferred Certifications : Certified Analytics Professional / Google/Microsoft/AWS certified Data analytics / Data science professional certificate / Design Thinking Practitioner / Cloud Certification / Six Sigma/Lean/VSM certification Well versed with project and program management (initiation, monitoring, stakeholder management, quality, financials, risks/issues).

This role emphasizes leadership in service excellence strategic quality management, with a focus on enhancing contact center processes and customer experience. The incumbent will be responsible for driving sustainable continuous improvement and transformation initiatives leveraging technology. Key Responsibilities: *Lead / mentor improvement initiatives that positively impact Client satisfaction business profitability *Be a visionary to identify high impact strategic projects which yield in substantial Gains *Identify new technologies that are relevant to service line and have potential to be scaled *Deliver on strategic and functional goals of projects focused on cost optimization, revenue enhancement metric enhancement. *Apply structured problem solving methodology, tools, data analytics and technology to generate value and solve business problems *Identifying process gaps automation opportunities Project managing improvement efforts across multiple locations and maintain consistence in effort implementation Interfacing with leadership/clients and identifying opportunities for value Driving effective Change Management for a stable consistent delivery Zero surprise operations Profile Experience: Bachelors degree with 11+ years of experience in contact center or outsourcing industry *Experience on Gen AI tools along-side Six Sigma/Lean/Kaizen/COPC methodologies *Exposure to drive complex improvement / transformation projects across multiple accounts/domains Experience in Data Analytics - Machine learning / Predictive Analytics / Power BI/SQL/Python / Big Data Preferred Certifications : Certified Analytics Professional / Google/Microsoft/AWS certified Data analytics / Data science professional certificate / Design Thinking Practitioner / Cloud Certification / Six Sigma/Lean/VSM certification Well versed with project and program management (initiation, monitoring, stakeholder management, quality, financials, risks/issues).

This role emphasizes leadership in service excellence & strategic quality management, with a focus on enhancing contact center processes and customer experience. The incumbent will be responsible for driving sustainable continuous improvement and transformation initiatives leveraging technology. Key Responsibilities: *Lead / mentor improvement initiatives that positively impact Client satisfaction & business profitability *Be a visionary to identify high impact strategic projects which yield in substantial Gains *Identify new technologies that are relevant to service line and have potential to be scaled *Deliver on strategic and functional goals of projects focused on cost optimization, revenue enhancement & metric enhancement. *Apply structured problem solving methodology, tools, data analytics and technology to generate value and solve business problems *Identifying process gaps & automation opportunities * Project managing improvement efforts across multiple locations and maintain consistence in effort & implementation * Interfacing with leadership/clients and identifying opportunities for value * Driving effective Change Management for a stable & consistent delivery Zero surprise operations Profile & Experience: * Bachelors degree with 11+ years of experience in contact center or outsourcing industry *Experience on Gen AI tools along-side Six Sigma/Lean/Kaizen/COPC methodologies *Exposure to drive complex improvement / transformation projects across multiple accounts/domains * Experience in Data Analytics - Machine learning / Predictive Analytics / Power BI/SQL/Python / Big Data * Preferred Certifications : Certified Analytics Professional / Google/Microsoft/AWS certified Data analytics / Data science professional certificate / Design Thinking Practitioner / Cloud Certification / Six Sigma/Lean/VSM certification * Well versed with project and program management (initiation, monitoring, stakeholder management, quality, financials, risks/issues).

This role emphasizes leadership in service excellence & strategic quality management, with a focus on enhancing contact center processes and customer experience. The incumbent will be responsible for driving sustainable continuous improvement and transformation initiatives leveraging technology. Key Responsibilities: *Lead / mentor improvement initiatives that positively impact Client satisfaction & business profitability *Be a visionary to identify high impact strategic projects which yield in substantial Gains *Identify new technologies that are relevant to service line and have potential to be scaled *Deliver on strategic and functional goals of projects focused on cost optimization, revenue enhancement & metric enhancement. *Apply structured problem solving methodology, tools, data analytics and technology to generate value and solve business problems *Identifying process gaps & automation opportunities * Project managing improvement efforts across multiple locations and maintain consistence in effort & implementation * Interfacing with leadership/clients and identifying opportunities for value * Driving effective Change Management for a stable & consistent delivery Zero surprise operations Profile & Experience: * Bachelors degree with 11+ years of experience in contact center or outsourcing industry *Experience on Gen AI tools along-side Six Sigma/Lean/Kaizen/COPC methodologies *Exposure to drive complex improvement / transformation projects across multiple accounts/domains * Experience in Data Analytics - Machine learning / Predictive Analytics / Power BI/SQL/Python / Big Data * Preferred Certifications : Certified Analytics Professional / Google/Microsoft/AWS certified Data analytics / Data science professional certificate / Design Thinking Practitioner / Cloud Certification / Six Sigma/Lean/VSM certification * Well versed with project and program management (initiation, monitoring, stakeholder management, quality, financials, risks/issues).

Profile & Experience Bachelors degree in computer science, engineering or relevant field and 10+ years of change management or transformation 5+ years of Program Management experience in a matrix environment Exposure to drive complex improvement / transformation projects across multiple accounts/domains. Transformation / Process Re-engineering (RPA, IVR, Cognitive, Bots, Messaging, Analytics, Lean / Six Sigma) Strong understanding of AI enabled Conversation Bots (Chat Bots, Email Bots, Social Bots, Knowledge Bots, etc) Experience collaborating cross functionally within all organizational levels to build collaborative relationships. Strong internal client-facing skills with excellent communication, negotiation and conflict management skills Analytical acumen and the ability to streamline complex processes. Preferred Qualifications: Working knowledge of the Scaled Agile Framework Experience in the contact center or BPO industry Six Sigma Greenbelt or Blackbelt PMP certification preferred OCM (Organizational Change Management) certification preferred.

Significant experience in Python programming, machine learning, deep learning, generative AI and hands-on in latest Gen AI models. Deep understanding of OCR technologies will be highly advantageous. Familiarity with AWS cloud services is recommended.

Seeking experienced Transformation Consultants to lead digital transformation projects aimed at enhancing contact center operations and customer experience. This role focuses on process improvement using structured methodologies and modern technologies like GenAI, Agentic AI, and Conversational AI Bots. Key Responsibilities: Lead and execute transformation initiatives in contact center and customer experience domains Conduct Process Discoveries, Customer Journey Mapping, and gap analyses Drive improvements using DMAIC methodology and Lean Six Sigma tools Implement solutions involving RPA, AI-enabled bots, and other emerging technologies Collaborate across delivery, sales, and technology teams Facilitate client interactions and support pre-sales, orals, and due diligence Foster a problem-solving culture through training and mentoring Mandatory Qualifications: Green Belt certified (mandatory), Black Belt preferred 5+ years of total experience, with 3+ years specifically in digital transformation Hands-on with Visio, knowledge of GenAI, Agentic AI, Conversational Bots Strong exposure to contact center / CX transformation

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at mohammad_ayub@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Location : Bangalore (Work from Office 5 Days a Week) Experience : 10+ Years Employment Type : Full-Time Notice Period : Immediate Joiner / Up to 30 Days To Apply : Send your updated resume to IpsitaS@norwintechnologies.com Job Description: Norwin Technologies is seeking a seasoned DevOps & Automation Engineer with over 10 years of experience in software engineering, scripting, and infrastructure automation. This role demands strong technical leadership, deep hands-on expertise, and the ability to work across multiple technology domains to deliver robust DevOps solutions. Must-Have Skills & Experience: Overall 10+ years of Software Engineering experience or equivalent demonstrated through one or a combination of the following: work experience, training, education etc. 5+ years of experience with scripting and development using languages such as Shell, Perl, Python or PowerShell 5+ years of formal development experience with programming languages such as Java, C#, GoLang 5+ years of experience with common infrastructure automation platforms such as Ansible, Terraform, or Packer 5+ years of experience with GitHub, Jenkins usage and integrations 5+ years of experience with complex application solution design and oversight and mentoring of teams of developers/engineers 5+ years of experience working across multiple technology domains whether infrastructure, application development, cloud, or middleware Excellent verbal and written communication skills. Real-time use cases: Why Join Norwin Technologies? Work with cutting-edge tools and a collaborative DevOps culture Be part of an innovative, fast-paced, and growth-oriented team Career progression and learning opportunities across multiple domains Interested candidates are encouraged to send their resumes directly to IpsitaS@norwintechnologies.com with the subject line: Application for DevOps & Automation Engineer Bangalore .

ZENSAR - OPPORTUNITY FOR Gen AI with Python Engineer” Apply Here: - https://forms.office.com/r/nVP0Mg5eeE Dear Aspirant, Greetings from Zensar!! We are thrilled to offer you an excellent opportunity to join our team as a Gen AI with Python Engineer professional . Experience Required: 6 - 9 Years Location: Pune, Bangalore, Chennai, Hyderabad (Hybrid) LLM Applications & Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6–9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments from ideation to working demo. Role & responsibilities Preferred candidate profile

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT

Seeking experienced Transformation Consultants to lead digital transformation projects aimed at enhancing contact center operations and customer experience. This role focuses on process improvement using structured methodologies and modern technologies like GenAI, Agentic AI, and Conversational AI Bots. Key Responsibilities: Lead and execute transformation initiatives in contact center and customer experience domains Conduct Process Discoveries, Customer Journey Mapping, and gap analyses Drive improvements using DMAIC methodology and Lean Six Sigma tools Implement solutions involving RPA, AI-enabled bots, and other emerging technologies Collaborate across delivery, sales, and technology teams Facilitate client interactions and support pre-sales, orals, and due diligence Foster a problem-solving culture through training and mentoring Mandatory Qualifications: Green Belt certified (mandatory), Black Belt preferred 5+ years of total experience, with 3+ years specifically in digital transformation Hands-on with Visio, knowledge of GenAI, Agentic AI, Conversational Bots Strong exposure to contact center / CX transformation