282 Genai Jobs - Page 6

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

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.

Should have 5+ years of experience in GenAI. Should have experience in Python , Typescript, RAG Architecture Design, GraphRAG, Agentic Architecture, SQL, Milvus, Graph DB, Vision Models, Restful API, Fast API

Hexaware is conducting Walkin Interview for Data Scientist (GENAI)/ Lead Data Scientist (GENAI)/ Data Scientist Architect (GENAI) _Noida Location_12th April 2025 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com MUST HAVE 1. Strong experience in Data Scientist (GENAI) 2. Strong hands-on experience in GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, LangGraph, and LlamaIndex, Azure/AWS, Bedrock, GPT-4. 3. Strong in python, Machine learning, deep Learning architecture, NLP, and OCR. Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Python Fast API experience, SDA based implementations for all the APIs Architect should be hand-on to review the code developed by the developers Should be able to take and work on spike stories assigned to him/her.

About the Senior Machine Learning Engineer Position We are seeking a highly skilled and motivated Data Scientist specializing in Generative AI to join our team. This is a highly visible role that will be responsible for supporting new AI initiatives, solutions and implementation on our existing BenAdmin Platform. The ideal candidate should possess in-depth knowledge of OpenAI, Lang Chain and Open LLM frameworks and be proficient in creating AI models and documents to Vectors etc. The ML/AI responsibility includes sourcing and training data that is accurate and reliable, and models are well-trained and reliably deployed. They must be self-motivated and comfortable supporting the needs of multiple teams, systems, and products. Responsibilities include (Not limited to): *LOOKING FOR ONLY IMMEDIATE JOINERS* Architect: AI/ML systems as well as integrating AI/ML features into business apps Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc. Develop end-to-end NLP Deep models Assist in Conversational AI, Information retrieval, Knowledge Management Research and implement appropriate ML algorithms and tools Build and manage Supervised and Unsupervised ML algorithms Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Utilize AWS Lambda, EC2 Services to build solution and Provide code deployments Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs). As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies: • Educational Background: Bachelor's degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline. Experience: 6+ years in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI. Problem-Solving Skills: Strong emphasis on product development. Communication Skills: Excellent written and communication, and strong interpersonal skills. Independence: Ability to thrive in a fast-paced environment and work independently. Analytical Skills: Experience performing root cause analysis to answer specific business questions. Programming Languages: Familiarity with Scala (preferred), Python & SQL Predictive Modelling and Analysis: Experience in machine learning and algorithm development. Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra. Model Deployment: Experience productizing and deploying machine learning models. Data Warehousing: Experience with data warehouse tools (Snowflake preferred). Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred). Engineering: Experience in Prompt engineering with LLM Development using Lang chain. Semantic Kernel, Open Source/ API based LLMs or similar API Development: Experience building scalable APIs in Python (using FastAPI is a plus). Data Processing: Working knowledge of data processing packages (e.g., NumPy, scipy, pandas).

Experience: 10 Years to 17 Years Location : Chennai Siruseri / Pune - Hinjewadi Phase III Role Description: Person will be responsible for leading and managing AI projects, overseeing the development and implementation of AI strategies, and driving innovation in AI technologies. They will collaborate with cross-functional teams to identify business opportunities for AI and ensure successful project execution. He will also stay up-to-date with the latest advancements in AI and provide thought leadership in the field. Should hold strong experience in applying regular data science/AI/ML to solving real world business problems with evolving technologies. Should have strong experience in GTM. Qualifications: Must have spent 10+ years in the Data Science, AI, and Analytics industry solving business problems for customers or for organizations. Strong analytical and problem-solving abilities, with consultative approach to client engagements Must have experience leading teams of Data Scientists, data analysts, NLP engineers etc. Knowledge and experience working in any of the cloud tech-stack, and Data platforms like Snowflake or Databricks, Data mining, Data Science, and Analytics skills. Experience in Machine Learning, NLP, Deep learning etc. techniques. Should hold strong experience in applying regular data science/AI/ML to solving real world business problems with evolving technologies. Knowledge/ experience of Gen AI applications Leadership and project management skills Excellent communication and interpersonal skills Experience in the Analytics/ Data Science/ IT services industry is a plus Master's degree in Computer Science, Data Science, or related field preferred

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).

Must have: Gen AI, Agentic AI, Computer Vision, Tensorflow, Pytorch.. etc.. Proficiency in programming languages such as Python, with hands on experience in AIML libraries, Gen AI, Cloud ML, Vertex AI services and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of Gen AI, Agentic AI, Prompt engineering, AIML concepts, algorithms, and techniques. Experience with data preprocessing, feature engineering, and data visualization. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience deploying AIML models in cloud environments. Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies. Excellent communication and collaboration skills to work effectively in cross-functional teams. Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously. Good to have handson experience with NLP projects Responsibilities: Design and develop AIML models, algorithms, and applications to solve complex business problems. Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AIML solutions. Implement and optimize AIML algorithms and models using programming languages such as Python, R, or Java. Conduct data preprocessing, feature engineering, and data exploration to ensure the availability of high-quality data for training and evaluation. Evaluate and benchmark different AIML models, frameworks, and tools to identify the most suitable solutions for specific use cases. Train, validate, and fine-tune AIML models using various techniques such as deep learning, reinforcement learning, and natural language processing. Deploy AIML models in production environments, ensuring scalability, performance, and reliability. Collaborate with software engineers to integrate AIML solutions into existing applications or develop new applications. Stay up-to-date with the latest advancements in AIML technologies, research papers, and industry trends. Provide technical guidance and support to junior team members and promote knowledge sharing within the COE team.

The Associate Software Engineer is responsible for designing, developing, deploying, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions, automating operations, monitoring system health, and responding to incidents to minimize downtime. This role will involve designing complex systems, optimizing content storage solutions, and integrating third-party services to deliver robust GenAI content authoring and data mapping platforms for Chemistry, Manufacturing, and Controls (CMC.) You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, structured content management, and integrated data to automate the creation, review, and approval of regulatory content. Roles & Responsibilities: Write clean, efficient, and maintainable code for GenAI content authoring and management systems. Build APIs and services to support GenAI content retrieval, storage, and rendering. Work on both front-end and back-end components of the Chemistry, Manufacturing, and Controls (CMC) content solutions, creating and integrating React user interfaces and configurations with back-end services in Python. Deploy and manage CMC content solution infrastructure using Infrastructure-as-Code, including but not limited to cloud services like AWS RDS, DynamoDB, S3, Lambda, and ECS. Assist with the ongoing maintenance of the system, including bug fixes, system upgrades, and enhancements. Participate in technical discussions, code and design reviews to help drive the architecture and implementation of new features. Create and maintain documentation on software architecture, design, and deployment. Stay updated with the latest trends and technologies in content authoring and management, and related fields. Work closely with product team, business team, and other stakeholders. Basic Qualifications and Experience: Bachelors degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Strong technical background, including understanding software development processes, databases, and connected systems that require ontologies and data dictionaries to interoperate. Proficiency in one or more programming languages such as Java, Python, or JavaScript and familiarity with API-driven data delivery and mapping to ontologies. Experience working with databases (SQL/NoSQL). Experience with product backlog management (e.g., Jira)?and collaboration tools. Good-to-Have Skills: Experience building and supporting GenAI solutions. Experience configuring and maintaining cloud infrastructure for full-stack software solutions, including Infrastructure-as-Code. Experience with CI/CD pipelines, version control tools and working in an Agile environment. Understanding of international pharmaceutical regulatory submission guidelines and processes (eCTD, ICH, CDS, USPI etc.) Professional Certifications: NA Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills