889 Aiml Jobs - Page 13

Role & responsibilities Full Stack LLM Development Sr Analyst Tech for Operations - Artificial Intelligence (Al) You wil be part of the Technology for Operations team that acts as a trusted advisor and partner to Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Understanding of foundational principles and knowledge of Artificial Intelligence Al including concepts, techniques, and tools in order to use Al effectively. What are you looking for ? Python (Programming Language) Python Software Development • Machine Learning Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providin solutions to work related problems. - Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions. - Develop and naintain high-quality software code adhering to coding standards and best practices. - Conduct thorough testing and debugging of applications to ensure optimal performance Provide technical support and guidance to end-users as needed. - Stay updated on emerging technologies and trends in application development Roles and Responsibilities • In this role you are required to do analysis and solving of increasingly complex problems You are likely to have some interaction with clients You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others • In this role you would be an individual contributor and/or oversee a small work effort and/or team • Please note that this role may require you to work in rotational shifts - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions. - Develop and maintain high-quality software code adhering to coding standards and best practices. - Conduct thorough testing and debugging of applications to ensure optimal performance. - Provide technical support and guidance to end-users as needed. - Stay updated on emerging technologies and trends in application development to drive continuous improvement.

Gen AI Specialist Exp: 10+ Yrs Location: Bengaluru We are seeking a visionary and driven leader to spearhead our organization's transformative journey into the world of Generative AI. This individual will play a pivotal role in building and scaling our Gen AI capabilities, fostering a culture of innovation, and driving tangible productivity gains across all departments. The ideal candidate is a passionate advocate for AI with a proven track record of successfully implementing and scaling AI/ML initiatives within an enterprise setting. Responsibilities: Develop and Implement Gen AI Strategy: Identify key opportunities and use cases for Gen AI across various business functions. Establish and track clear goals, metrics, and KPIs to measure the success of Gen AI initiatives. Workforce Training and Enablement: Design and deliver comprehensive training programs to upskill the workforce on Generative AI concepts, tools, and best practices. Foster a culture of learning and experimentation with Gen AI technologies with Hackathons or ideathons Create resources and support systems to empower employees to leverage Gen AI in their daily work. Build and Manage a Gen AI Repository: Establish a centralized repository of reusable Gen AI components, models, and tools. Develop and enforce standards and guidelines for the development and deployment of Gen AI solutions. Ensure the repository is easily accessible and promotes knowledge sharing across the organization. Drive Productivity and Innovation: Work closely with business units to identify and prioritize high-impact Gen AI use cases. Monitor and analyze the impact of Gen AI on productivity, efficiency, and business outcomes. Stay Ahead of the Curve: Continuously research and evaluate emerging Gen AI technologies, trends, and best practices. Identify and recommend new tools and platforms to enhance the organization's Gen AI capabilities. Represent the organization at industry events and conferences. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Experience: 10+ years of experience in the technology industry with a focus on AI/ML. Proven track record of successfully leading and implementing AI/ML initiatives in an enterprise environment. Experience with building and managing Gen AI models and solutions. Strong understanding of various Gen AI techniques, including large language models (LLMs), natural language processing (NLP), and computer vision. Skills: Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Ability to effectively collaborate with cross-functional teams. Passion for driving innovation and staying ahead of technology trends. Desirable Experience: Experience with cloud-based AI platforms (e.g., Google Cloud AI, AWS AI, Azure AI). Familiarity with agile development methodologies. Contributions to the AI community (e.g., publications, open-source projects).

Job Description: Python Gen AI Developer Seeking an experienced Python Developer with expertise in Generative AI to join our AI & ML Engineering team. The ideal candidate will work on building intelligent applications leveraging large language models (LLMs) and deep learning to enhance customer experience and streamline business processes. Key Responsibilities: Design, develop, and deploy GenAI solutions using Python and modern AI frameworks. Work with LLMs (e.g., GPT, LLaMA, Claude) and fine-tune them for enterprise use cases. Develop prompt engineering strategies and support prompt optimization. Integrate AI models with backend services and data pipelines. Implement scalable and secure APIs and services for GenAI use cases. Collaborate with data scientists, ML engineers, and product teams. Ensure compliance with enterprise security, data governance, and regulatory standards. Required Skills: 4+ years of experience with Python in enterprise application development. Strong knowledge of GenAI tools (OpenAI, Hugging Face, Lang Chain, etc.). Experience with LLMs, prompt tuning, RAG (Retrieval Augmented Generation). Experience with Flask/Fast API or similar frameworks. Familiarity with vector databases (e.g., NodeJS, FAISS, Pinecone). Understanding of NLP and transformer models. Good knowledge of Git, Docker, CI/CD. Nice to Have: Experience working in the finance or banking domain. Exposure to Kubernetes and model deployment pipelines

Lead - AI ML Generative AI: Key Responsibilities Leadership and Team Management: Lead, mentor, and manage a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance culture. Strategy Development: Develop and implement AI/ML strategies aligned with the company's business goals and objectives. AI/ML Solutions: Design, develop, and deploy AI and machine learning models to solve complex problems in underwriting, claims processing, fraud detection, customer service, and personalized marketing. Generative AI: Explore and implement generative AI techniques to create novel solutions for product development, risk assessment, and customer engagement. Data Management: Oversee the collection, preprocessing, and analysis of large datasets to ensure data quality and integrity. Stakeholder Collaboration: Work closely with cross-functional teams, including product managers, actuaries, and IT departments, to ensure successful integration and adoption of AI/ML solutions. Research and Innovation: Stay updated with the latest advancements in AI/ML and generative AI, and drive continuous innovation within the team. Compliance and Ethics: Ensure all AI/ML solutions comply with industry regulations and ethical standards. Performance Monitoring: Implement monitoring and evaluation frameworks to assess the impact and performance of AI/ML models. Innovation & POC Development Lead the development and execution of innovative analytics solutions and Proof-of-Concept (POC) projects. Collaborate with cross-functional teams to identify impactful use cases and prototype solutions. Business Alignment & Outcome Metrics Work with business stakeholders to establish success metrics and key performance indicators (KPIs) for analytics initiatives. Ensure analytics solutions align with strategic business objectives and regulatory requirements. POC Adoption & Change Management Promote the transition of successful POCs into production environments. Develop and implement change management strategies to secure stakeholder support and ongoing usage. Technical Leadership & Team Oversight Provide technical guidance and mentorship to data scientists and analysts. Review and approve analytical models, code, and methodologies to ensure their robustness and scalability. Strategic Research & Future Tech Exploration Stay informed about emerging technologies in AI/ML, GenAI, and other relevant future tech for the insurance industry. Conduct strategic research and feasibility studies to evaluate potential applications and business impact. Qualifications Education: Masters in Computer Science, Data Science, Machine Learning, or a related field. Experience: Minimum of 5 years of experience in AI/ML, with at least 3 years in a leadership role. Technical Skills: Proficiency in programming languages such as Python, R, and Java; experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Cloud Tech : Azure, GCP , AWS . Preferable is Azure Domain Knowledge: Expertise in the insurance domain, with a strong understanding of industry-specific challenges and opportunities. Analytical Skills: Strong problem-solving skills with the ability to analyze complex data and generate actionable insights. Communication Skills: Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Project Management: Demonstrated experience in managing large-scale AI/ML projects from conception to deployment. Innovation: Proven track record of driving innovation and staying abreast of emerging technologies in AI/ML and generative AI.

Job Role: Full-Stack / Back-End Developer Location: Hyderabad/Bangalore(Hybrid) Job Type : Fulltime ** Only Immediate Joiners ** Job Summary: High-Level Requirements: Build scalable back-end services and APIs supporting the customer-facing clickable prototype and HITL workflows. Develop secure, efficient data handling processes, including batch and near real-time ingestion, processing, and integration of AI outputs. Enable integration of supply chain data, risk scoring, scenario modelling, and manual analyst interventions. Collaborate with front-end, data science, and architecture teams to deliver integrated, high-performance solutions that support both customer and analyst use cases. Job Specification: Proficient in server-side programming languages and frameworks (e.g., Node.js, Python, Java). Experience designing RESTful APIs and microservices architectures. Knowledge of database systems, data integration, and cloud infrastructure. Familiarity with AI/ML model integration and data pipeline orchestration. Strong problem-solving skills and security best practices awareness.

Job Title: AI Prompt Engineer Internship Company: Pranathi Software Services Pvt Ltd Location: Hyderabad, Telangana Employment Type: Internship (Full-time / Part-time) Duration: 3 Months Start Date: Immediate / As per availability About the Role: We are looking for enthusiastic and detail-oriented AI Prompt Engineering Interns with a strong foundation in AI concepts and excellent English communication skills. As an intern, you will work closely with our AI and product teams to develop, test, and refine prompts that optimize the performance of large language models (LLMs) like ChatGPT, GPT-4, and similar tools. This internship offers hands-on experience in one of the most in-demand AI roles in the industry. Requirements: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, English, or related fields. Basic understanding of AI/ML concepts, large language models (LLMs), and natural language processing (NLP). Excellent command of written and spoken English. Strong analytical thinking, creativity, and attention to detail. Ability to work independently as well as part of a collaborative team. Interested can share your resume at giribabu@pranathiss.com

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Order to Cash- GPO In this role, GPO lead is responsible for directing and executing GPO roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve in directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the GPO strategy would be with the lead role. Responsibilities . Thorough Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationship and deliver transformation roadmap . Lead large teams for transformation resources to deliver program . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value Qualifications we seek in you! Minimum Qualifications . Experience in SAP, S4Hana, Service Now etc. or similar technology and technology deployments . Experience in driving RPA program and deploying RPA across platforms . Extensive experience in Order to Cash domain, should have lead transformation across all sub-processes like Cash Application, Billing, Netting etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . Experience in managing client discussion and driving large transformation programs. . Experience in deploying AIML or Generative AI solution and driving analytics programs . Project Management skills -Strong Influencing skills and clarity of thought on effective project management are required . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . Delivers oral and written communications that have clarity and impact. . Creates a team environment of accountability and commitment for reaching project goals . Must be able to work in dynamic and tight deadlines to meet the project schedule . Exposure to business metric improvement initiatives like close optimization . Understanding of Defining SLA/KPI and linking it to business metrics . Experienced Process improvement and Automation expert with domain exposure in F&A Preferred Qualifications/ Skills . Lean Six Sigma- GB / BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation for relevant years Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Skill 1: Python with AI ML / LLM Experience – 5 to 14 Years Work Location: Bangalore Interview Process and Work Model Interview Process: 2 Technical(Hacker Rank ), HR Work Model: Hybrid - 3 Days vidyadhar@akshayaitsolutions.com Contact : 9154802577

We are seeking a Product Owner to lead the vision, prioritization, and execution of cutting-edge agentic AI initiatives. This role is focused on end-to-end product ownership driving autonomous, intelligent AI systems from concept to delivery. The ideal candidate will have strong experience in managing AI/ML products and a clear understanding of how to create value through intelligent agents, LLM-based automation, and ML workflows. Key Responsibilities Define and communicate the product vision for agentic AI systems, enabling intelligent, autonomous behavior across business-critical workflows. Own and maintain a well-prioritized product backlog, translating strategic goals and stakeholder needs into actionable user stories and epics. Collaborate closely with ML engineers, data scientists, software developers, and data engineers to ensure delivery aligns with technical feasibility and business impact. Drive development of AI features involving multi-agent orchestration, self-improving systems, tool-use, planning, and decision-making capabilities. Act as the primary liaison with stakeholders, gathering feedback, defining KPIs, and iterating on features to ensure continuous product improvement. Partner with MLOps, data, and engineering teams to align on system architecture, deployment strategies, and compliance for scalable AI delivery. Monitor progress and product health using appropriate metrics (e.g., adoption, latency, reliability, model performance). Contribute to go-to-market planning, user adoption strategies, and internal enablement for AI-driven features. Stay updated on trends in agentic AI, LLM toolchains, open-source agent frameworks (LangChain, AutoGPT, LangGraph, etc.), and bring those insights into product strategy. Required Skills & Experience 5+ years of experience in product management or product ownership, preferably in AI/ML-driven software environments. Proven track record of delivering successful AI/ML or intelligent automation products, ideally involving LLM-based agents, decision engines, or workflow orchestration. Strong understanding of the AI/ML development lifecycle, including data ingestion, model training, validation, deployment, and monitoring. Familiarity with modern AI agent architectures (planning, memory, tool use), and platforms like LangChain, AutoGPT, CrewAI, LangGraph, or custom agent stacks. Experience working in Agile teams, coordinating across cross-functional roles (engineering, data science, UX, business). Strong analytical and communication skills capable of making trade-offs, defining MVPs, and translating complex technical work into user and business value. Comfort working with tools like Jira, Confluence, or similar backlog management platforms.

Job Title : AI/ML Lead - AI Build Plan and Investment Location : Hyderabad Experience : 10-12 years Job Description : We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Job Title: Senior Data Scientist IT/OT, SAP & Classical ML Experience: 7+ Years Location: Jaipur / Noida / Pune Employment Type: Full-time About the Role: We are seeking an experienced Senior Data Scientist with a strong background in IT/OT systems, SAP integration, and classical machine learning techniques. The ideal candidate will bring deep technical expertise combined with a consulting mindset and excellent communication skills. This role involves working closely with clients to understand complex business challenges and delivering actionable AI/ML-driven solutions across diverse enterprise environments. Key Responsibilities: Develop and implement classical machine learning models tailored for IT/OT and SAP data environments. Collaborate with clients and cross-functional teams to analyze requirements and translate them into scalable data science solutions. Integrate data from SAP and other enterprise systems to build comprehensive predictive and prescriptive analytics. Conduct exploratory data analysis, feature engineering, model training, validation, and deployment. Present findings, insights, and recommendations clearly to both technical and non-technical stakeholders. Support digital transformation initiatives leveraging data-driven decision-making in IT and OT operations. Stay updated on industry trends, emerging technologies, and best practices in data science and enterprise IT/OT systems. Required Qualifications: 7+ years of professional experience in Data Science, focusing on classical ML techniques. Proven experience working with IT/OT systems and integrating SAP data into analytic workflows. Strong proficiency in Python/R and ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Demonstrated consulting experience with client-facing engagements and solution delivery. Excellent communication and presentation skills to convey complex concepts effectively. Bachelors or Master’s degree in Computer Science, Engineering, Data Science, or related fields. Preferred Qualifications: Hands-on experience with SAP modules and data structures. Knowledge of IoT and industrial OT systems. Experience with cloud platforms (AWS, Azure, GCP) and MLOps. Familiarity with data visualization tools like Power BI or Tableau. What We Offer: Exciting opportunity to work on digital transformation projects in leading enterprises. Collaborative work culture across Jaipur, Noida, and Pune offices. Competitive salary and benefits package. Continuous learning and professional growth opportunities. If this sounds like you, we'd love to connect! Apply now to chaity.mukherjee@celebaltech.com to be part of our innovative team.

The Sales Development Representative (SDR) will join our team to drive business growth. This individual will be responsible for outbound prospecting, engaging with potential clients, setting up qualified meetings, and contributing to the sales pipeline by connecting with technology leaders who require software development, AI-driven solutions, and cloud consulting services. Job Title: Sales Development Representative (SDR) IT Services & AI Solutions Shift Timings: PST/CST time zone Education Qualification: Bachelor's degree in engineering, business, marketing, or a related field Location: PuneCompany: Zymr System pvt ltd | https://www.zymr.com/ Key Responsibilities: Prospect & Outreach: Conduct cold calls, send emails, and reach out via LinkedIn to engage potential clients. Lead Qualification: Identify decision-makers, understand their pain points, and qualify leads based on fit. Meeting Scheduling: Book qualified meetings with prospects for the sales team. Follow-up & Nurturing: Maintain relationships with leads through consistent follow-ups and nurture campaigns. CRM Management: Update and manage leads in Zoho CRM to track outreach efforts and pipeline status. Collaboration: Work closely with the sales and marketing teams to refine messaging and outreach strategies. Achieve Targets: Meet monthly/quarterly targets for setting up qualified meetings and contributing to the sales funnel. Required Skills & Experience: Fluent English Communication: Strong verbal and written communication skills to engage C-level executives, founders, and decision-makers. Outbound Sales Experience: 3-5 years in a similar role, preferably in IT, SaaS, or software development services. Cold Calling & Email Outreach: Proven track record of initiating conversations and securing meetings. Persuasive & Convincing: Ability to handle objections, build rapport, and gain commitment from prospects for a call. Tech-Savvy: A basic understanding of cloud, AI, and software development services is a plus. CRM & Outreach Tools: Experience with Zoho CRM, LinkedIn Sales Navigator, and email automation tools is preferred -- Thanks & Regards, Vishva Shah Sr Talent specialist | Zymr, Inc. | www.zymr.com| vishva.shah@zymr.com

Data Scientist Gen AI & Agentic AI Experience: 2+ Years Location: Jaipur (WFO) Employment Type: Full-time About the Role: We are looking for a highly motivated Data Scientist with experience in Generative AI , Agentic AI , and a strong consulting mindset. This is a client-facing role that blends deep technical expertise with the ability to understand and solve business problems through cutting-edge AI technologies. Youll be part of a forward-thinking team working on impactful projects in AI transformation across industries. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on Generative AI (e.g., LLMs, prompt engineering) and Agentic AI frameworks . Collaborate with clients and internal stakeholders to understand business needs and translate them into AI solutions. Prototype and implement intelligent agent-based systems for automation, decision-making, and conversational interfaces. Build proof-of-concepts (POCs), MVPs, and production-ready solutions in real-world business environments. Work on data preparation, model fine-tuning, and evaluation of large language models (LLMs). Present insights, solutions, and progress to clients in a clear and consultative manner. Stay current with AI trends and contribute to internal knowledge-sharing and innovation. Required Qualifications: 2+ years of experience in Data Science, with hands-on exposure to Generative AI and LLMs (e.g., OpenAI, Cohere, Hugging Face). Experience with Agentic AI concepts or frameworks like LangChain, AutoGen, CrewAI, or similar. Strong Python programming skills and familiarity with ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Consulting or client-facing experience with the ability to translate business needs into technical requirements. Good understanding of NLP, prompt engineering, and conversational AI workflows. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related fields. Preferred Qualifications: Experience in building AI solutions for enterprise clients. Familiarity with MLOps and deploying models to production. Prior experience with cloud platforms (AWS, Azure, or GCP). Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques. What We Offer: Exciting projects at the intersection of AI, automation, and enterprise transformation. A collaborative and fast-paced environment focused on innovation. Opportunities for continuous learning and professional growth. Flexible working model with Jaipur as the base location. If this sounds like you, we'd love to connect! Apply now to chaity.mukherjee@celebaltech.com to be part of our innovative team.

- Gen AI Experience4-12 yearsWork LocationChennai/ Bangalore Mandatory SkillsGen AI, LLM, RAG, Lang chain, Llama, AI/ML, Deep Learning, Python, Tensorflow, Pytorch, Pandas, Prompt Engineering, Vector DB, MLOpsPreferred SkillsAWS or GCP or Azure Cloud, GPT-4, SQL, Fast API/ API Development, Docker/ Kubernetes, Hadoop, Spark or Apache Flink Data Pipeline, Banking exposure Educational BackgroundBachelors or Masters degree in Computer Science, Artificial Programming LanguagesProficiency in Python, R, API development - Python/Fast API. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras etc. Gen AI & RAGExperinced in GEN AI Models, Langchain/Langflow and Prompt Engineeri Machine LearningStrong understanding of machine learning algorithms, Deep Learnin Data ScienceExperience with data analysis, data visualization, and statistical modelin Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Sp Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure Awareness on applied statistics, Experinced in Algorithms, Model development / evalua Exposure to ML Ops & Awareness of Containerisation with Docker/ Kubernetes Problem-SolvingStrong analytical and problem-solving skills with the ability to think c CommunicationExcellent verbal and written communication skills, with the ability to Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries,Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Generative AI. Experience5-8 Years.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. AECOM is seeking a Graduate Environmental Data Specialist with 2+ years of experience to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders. This position will offer a hybrid work arrangement to include both office and remote work schedules and will be based from our office located in Bengaluru, India. This role includes, but is not limited to, the following activities: Role and Responsibilities: The ideal candidate will be able to understand requests from environmental subject matter experts. Be a good communicator able to share new functions and features with the users and have a good understanding of environmental data and environmental data terminology. Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends. Prepare and update environmental associated reports sound in understanding environmental data, transforming, and analyzing large and diversified environmental datasets. Ability to translate environmental problems through digital and data solutions. Commitment to data quality at all levels and scales. Experience in developing custom reports and user-requested queries and views on various platforms of the desired skill set. Responsive to client (user) requests. Excellent communication skills Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts. Research state and federal regulations necessary to manage action levels or clean-up criteria. Professional qualification & Experience desired Bachelor’s degree in environmental/civil/chemical engineering or science in a related discipline (or similar subject) desirable with a required focus on Environmental Data and 2+ years of experience working in the environmental domain and preferably have relevant experience with environmental data. Skills Required: Ability to understand data management using excellent computer skills to perform transformations in spreadsheets and databases. Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSoft’s Environmental Quality Information System (EQuIS™) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS highly desirable but not essential). Assist projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise™ system; and preparing report-ready data tables, charts, and figures for internal review and external client reports. Use of visualization tools like Power BI to help management make effective decisions for the environmental domain is desirable but not essential. Programming and/or coding experience (e.g., Python,R) a plus. Data engineering, AI/ML, and Data science understanding is highly desirable but not essential. Can be in either academic or work experience. Intermediate to the expert level understanding of Office 365, Excel, power query & Power automation. Strong attention to detail with excellent analytical, judgment and problem-solving capabilities. Comfortable running meetings and presentations Strong written and oral communication skills Preferred : Master’s degree in environmental/civil/chemical engineering or science in a related discipline (or similar subject) desirable with a required focus on Environmental Data. Minimum of 2 – 5 years of experience working in the environmental domain and preferably have relevant experience with environmental data. Additional Information

About the job: The Red Hat Quality Engineering team is looking for a Quality Engineer to join us in Pune India. In this role, you will write new and optimize existing test automation scripts and frameworks. You'll also work on the analysis of the non-deterministic failures, ways to reduce them and report bugs and defects. This team is home to some of the most well-known faces in the international QE community and will set you up for an exciting and rewarding SDET journey. Our team culture encourages you to come up with innovative solutions to problems and allow you to work with some of the brightest engineers in the open-source industry. What will you do Test new features and ensure fast feedback for developers Create and maintain testing artifacts Write automated test scripts, analyze test results, and identify and file bugs accordingly Test bugs and write bug reproducers Write API and Performance tests scripts What will you bring 3+ years of experience in Quality Engineering Hands-on experience writing code in at least one programming language, preferably Python, Java, or JavaScript Strong understanding of HTTP communication protocols Expertise in testing and working with RESTful APIs Proficiency API test automation Experience building and testing systems designed to handle large datasets, with attention to performance and scalability Familiarity with distributed systems and an understanding of challenges related to consistency, availability, and partitioning Solid grasp of core testing concepts, including functional, sanity, regression testing, etc. Excellent observation skills with a strong attention to detail Self-motivated with the ability to take direction and collaborate effectively within a team Eagerness to learn new technologies and apply problem-solving skills Decision-making skills on day-to-day development Intermediate written and verbal communication skills in English Apache Solr, Indexing, RestAssured, Python, AI/ML experience is good to have About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Responsibilities: * Design, develop, test & maintain full-stack applications using Temporal, React.JS, Python & Fast API with AIML integration. Temporal / Celery / Airflow FastAPI Pydantic Honeycomb OpenAI / Gemini / Claude Render Azure React

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions. How do they use it? Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology. Responsibilities: We are on the hunt for a Senior QA Engineer who doesnt just test but builds testing systems that push the boundaries of automation, innovation, and intelligence. If you have over 6 years of experience , a strong foundation in Python-based automation , and a keen interest in applying AI/ML to quality assurance , then you might just be our next game-changer. In this role, youll lead cutting-edge proof-of-concept projects , shape the next-gen QA automation strategy , and work alongside a diverse, cross-functional team. We love thinkers, tinkerers, and those who never stop asking: “What else can we do better?” What will you do- Automate Everything : Design, develop, and scale Python-based automation frameworks (web, API, data validation). Innovate with AI : Lead experiments using AI/ML (self-healing tests, test summarization, bug prediction) and integrate successful models into the QA ecosystem. Drive Quality : Own the quality bar across projects by applying functional, integration, system, regression, and exploratory testing practices. Collaborate Broadly : Engage with product, data science, DevOps, and engineering teams globally to create high-quality, reliable releases. Modernize QA : Introduce and advocate for open-source tools, GenAI copilots, and prompt-based automation across test suites. Desired Qualifications: 6+ years in QA with a focus on automation, Python as primary language. Comfortable with tools like GitHub Copilot, Cursor, or other productivity copilots . Experience building scalable automation frameworks from scratch (Playwright, Selenium, Pytest). Strong understanding of QA fundamentals—test design, defect lifecycle, requirements analysis. Hands-on experience in AI/ML with a mindset to explore more. Experience in API testing (REST Assured, Postman) and SQL-based data validations. CI/CD tools exposure (Jenkins, GitHub Actions, GitLab CI). Knowledge of Docker/Kubernetes and cloud platforms (AWS/GCP) is a plus. Nice-to-Haves Exposure to AI-based test generation or test maintenance tools Familiarity with performance, security, or visual regression testing. Experience with BDD (pytest-bdd, Behave) and exploratory testing techniques. Contribution to open-source QA tools or innovation platforms. Why Join our team Innovation Playground : Lead AI/ML PoCs that redefine how testing works. Global Collaboration : Work with passionate teams across continents—share ideas, exchange knowledge, grow together. Freedom to Experiment : Bring your wildest ideas to life—we encourage exploration! Clear Impact : Your work directly shapes product quality, stability, and innovation velocity. Culture of Growth : Flexible working, modern stack, continuous learning support, and a team that celebrates curious minds. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do. Link to apply - https://eobe.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/815/?keyword=Software+Engineer+III&mode=location

About Company: Agilysys Technologies is a leading provider of innovative technology solutions, committed to transforming the way businesses operate through our state-of-the-art software and services. Our focus on customer satisfaction, coupled with a drive for excellence, positions us at the forefront of technological advancements in the industry. Job Summary: We are seeking a talented and motivated AI Developer to join our dynamic team. In this role, you will leverage advanced AI technologies, including Azure Open AI, Copilot Studio, Power Automate, Azure ML, and Cognitive Services, to develop and implement intelligent solutions that enhance business processes and drive operational efficiency. If you are passionate about artificial intelligence and have the required skill set, we invite you to apply and help us shape the future of technology at Agilysys Technologies. Key Responsibilities: Design, develop, and implement AI solutions using Azure Open AI and other relevant tools to meet business requirements. Collaborate with cross-functional teams to identify opportunities for leveraging AI and automation to improve existing processes. Utilize Copilot Studio and Power Automate to develop automated workflows that enhance productivity and efficiency. Employ Azure ML to build, train, and deploy machine learning models that solve complex business problems. Integrate and utilize Cognitive Services to enhance applications with capabilities such as natural language processing, image recognition, and predictive analytics. Conduct testing and validation of AI models and applications to ensure accuracy and performance. Monitor and analyze system performance, making necessary adjustments to optimize solutions and address any issues. Stay up-to-date with the latest advancements in AI technologies and propose innovative solutions to enhance our offerings. Required Skills : 8+ years in software engineering, including 3+ years in AI/ML and bot development. Experience delivering enterprise-grade chatbot/AI platforms integrated with backend services. Strong system design and architecture skills, especially for distributed and event-driven systems. Excellent communication, leadership, and stakeholder management abilities. Python, LLMs ( Azure OpenAI, Anthropic), PyTorch, Hugging Face Prompt Engineering, Vector Search, Retrieval-Augmented Generation Microsoft Bot Framework/LangChain / Rasa OAuth2, Middleware, Webhooks, Channel Integrations (Teams, WhatsApp, Web, IVR) Node.js, Java Spring Boot, .NET Core Azure/AWS, Docker, Kubernetes

Requirement -Sr. Python dev, at least 5 years of experience, ideal to have AI/ML & LLM background Must have -Python dev experience for services and applications They will be working in Gen AI team, so Python is must, AI background is optional

Role & responsibilities Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP). Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python. Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications. Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs. Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines. Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures. Define and uphold best practices for AI governance, cost optimization and robust performance monitoring. Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications. Design and maintain comprehensive monitoring and logging systems for AI-powered solutions. Collaborate with cross-functional teams including data scientists, ML engineers and software developers to seamlessly integrate AI across the product landscape. Document technical specifications, system workflows and development best practices. Preferred candidate profile Extensive experience in AI implementation incorporating generative models and agentic AI workflows. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is preferred.

About the Role: We are looking for a dynamic and skilled Software Engineer with 34 years of experience in Python development , along with a foundational understanding of Artificial Intelligence (AI) concepts and Microsoft Azure cloud services. The ideal candidate is passionate about building high-quality software, eager to learn, and ready to contribute to innovative AI-powered solutions. Key Responsibilities: Design, develop, and maintain scalable backend applications using Python. Collaborate with data scientists and ML engineers to integrate AI models into production environments. Work on REST APIs, data pipelines, and cloud-enabled applications. Assist in deploying Python-based applications and models on Azure services. Participate in the full software development lifecycle – design, development, testing, deployment, and support. Write clean, efficient, and well-documented code with proper version control practices. Troubleshoot issues and perform code reviews to ensure best practices. Required Skills & Experience: Core Skills: 3–4 years of hands-on experience in Python development. Strong understanding of software engineering principles , OOPs, and data structures. Exposure to AI/ML workflows (model training, evaluation, or integration). Experience building or consuming RESTful APIs (using Flask, FastAPI, or Django). Good understanding of Microsoft Azure fundamentals and services like: Azure AI Foundry Azure App Services Azure Functions Azure Storage Familiarity with relational databases and basic SQL (e.g., PostgreSQL, SQL Server). Bonus / Nice to Have: Azure Certification (e.g., AZ-900 or AI-900 ) Familiarity with containerization tools like Docker Exposure to CI/CD using Azure DevOps Experience working with Git and Agile teams Understanding of MLOps or model deployment practices

Job Title: Accelerated Computing Engineer Entry Level Experience Level: 02 Years Location: Vellore Employment Type: Full-time About the Role We seek a driven Accelerated Computing Engineer to join our innovative team in Vellore. This entry-level role offers a unique opportunity to work with advanced AI/ML models, accelerated computing technologies, and cloud infrastructure while collaborating on cutting-edge research and deployment projects. You will work with a variety of state-of-the-art models such as BGE-Large, Mixtral, Gemma, LLaMA, and Stable Diffusion, as well as other fine-tuned architectures, to solve real-world computing challenges through advanced AI/ML infrastructure solutions. Key Responsibilities Customer Interaction & Analysis: Work closely with customers to analyze technical and business needs, translating them into robust, AI-driven solutions. Model Deployment & Optimization: Develop and deploy advanced AI/ML models such as LLaMA, Mixtral, Gemma, and other GenAI models while optimizing their performance for varied computing environments. Performance Testing & System Benchmarking: Execute advanced test scenarios and performance benchmarks across AI/ML models and distributed systems to ensure optimal performance. Infrastructure & Model Research: Research, configure, and maintain infrastructure solutions (using tools like TensorRT and PyTorch) supporting our models and accelerated computing workloads. AI/ML Model Integration: Support and deploy models such as Stable Diffusion, BGE, Mistral, and custom fine-tuned models into end-to-end pipelines for AI/ML-driven solutions. Automation & Process Improvements: Drive automation strategies to streamline workflows, improve testing accuracy, and optimize system performance. Technical Liaison: Served as the technical bridge by collaborating with product development teams, tracking customer feedback, and ensuring timely resolutions. Model Configuration & Troubleshooting: Create custom scripts, troubleshoot advanced configurations, and support tuning efforts for AI/ML model customization. Skills & Qualifications Required Skills: Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline. Strong foundational knowledge of AI/ML model deployment and cloud infrastructure. Proficiency with AI/ML frameworks & libraries, including PyTorch, TensorRT, and Triton. Hands-on experience with deployment models such as LLaMA, Mixtral, Gemma, and Stable Diffusion. Familiarity with distributed computing environments and orchestration tools like Kubernetes. Proficiency in workflow automation, performance tuning, and large-scale system debugging. Understanding of cloud computing technologies and infrastructure architecture, including storage, networking, and computing paradigms. Preferred Skills: Experience working with object storage technologies like AWS S3, Azure Blob Storage, and MinIO. Familiarity with advanced AI/ML model frameworks such as Gemma-2b, Mixtral-8x7b, Mistral-7b-instruct, and other fine-tuned AI models. Expertise in GPU configuration and tuning for AI/ML workloads, including drivers and machine learning optimization strategies. Familiarity with serverless computing and Function as a Service (FaaS) concepts. Experience with infrastructure as code (IaC) and performance benchmarking methodologies.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We're hiring a skilled Full Stack .NET Developer to build scalable web apps using .NET Core and modern JavaScript frameworks. You'll lead end-to-end feature development, performance tuning, and ensure system reliability across the stack.