Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 2-5 years work experience in embedded software and/or driver. Candidate should be detail-oriented and have strong analytic and problem-solving skills, highly organized Extremely strong knowledge with C/C++ programming, ARM assembly language. Solid understanding of overall embedded system architecture. Experience in 2D and 3D graphics technology and standards such as OpenGL, OpenGL ES/EGL, Vulkan Experience in multimedia on embedded systems and the use of graphics and in a highly integrated system. Experience and/or knowledge of the use of the GPU as a compute engineGPGPU and OpenCL is an asset. Experience with virtualization technologies across CPU and MM hardware accelerators. Experience with GPU optimization, advanced rendering, and latency optimizations and ability to identify and isolate performance issues in graphics applications. Experience with design and implementation of modern 3D graphics applications using OpenGLES API is a plus. Experience with writing vertex and fragment shaders using shading languages such as GLSL is a plus. Knowledge in one or more of the following operating systems is preferredAndroid, QNX, embedded Linux, Genivi, Integrity. Knowledge of Graphics frameworksKanzi, QT, is a plus *Fluent in industry standard software toolsSW/HW debuggers, code revision control systems (GIT, Perforce), IDEs and build tools. Strong communication skills (written and verbal), working with teams across multiple time zones. A passion for excellence in programming, and exceeding goals. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Join the Virtual Drive At TCS 28 may 2025 for skill Contact Center Configuration analyst---- Contact Center Technical SME for PAN INDIA location exp req:5+ yrs job Location:PAN INDIA JD Key Responsibilities - Serve as the technical expert for contact center platforms (e.g., Genesys, Avaya, Cisco, Amazon Connect, NICE CXone, five9). - Configure and maintain IVRs, call flows, routing strategies, agent profiles, and AI-powered virtual agents. - Collaborate with business and AI teams to design and implement Conversational AI solutions using platforms like Google Dialogflow, Amazon Lex, or Microsoft Bot Framework - Participate in RFP and proactive deals to provide solutions across contact center - Integrate Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Google Vertex AI) for use cases such as agent assist, auto-summarization, sentiment analysis, and knowledge base generation. - Support the deployment and tuning of AI models for real-time and post-call analytics. - Ensure seamless integration between AI tools, CRM systems, and contact center platforms. - Monitor and optimize AI performance, ensuring high accuracy and customer satisfaction. - Maintain documentation for AI workflows, configurations, and system changes. - Stay current with emerging AI trends and recommend innovative solutions. Show more Show less

Job Role: Generative AI Engineer Intern Company: Growhut Technologies Private Limited Job Type: Full-Time Internship Location: Remote Stipend: INR 15,000 - 20,000 per month About Growhut At Growhut, we’re transforming industries with innovative AI solutions. Join our dynamic team to shape the future of technology and redefine possibilities through cutting-edge AI. The Role As a Generative AI Engineer Intern, you will work on groundbreaking AI projects, leveraging state-of-the-art tools and models to solve real-world challenges. What You’ll Do: Learn and experiment with cutting-edge Generative AI models, including GPT-4, PaLM, and Stable Diffusion, to create transformative applications. Assist in developing innovative AI solutions blending language, vision, and audio. Explore transformer architectures and contribute to optimizing them for impactful applications. Gain experience in prompt engineering and few-shot learning to unlock the potential of large language models. Support the team in building scalable inference systems for real-world applications. Collaborate on research initiatives and contribute to new techniques in controllable generation and multi-modal AI systems. Technical Requirements We’re looking for motivated individuals eager to learn and grow in the field of AI. The ideal candidate should have: Basic familiarity with Generative AI models (e.g., GPT-4, Stable Diffusion). Understanding of foundational AI concepts, including transformers and attention mechanisms. Experience with Agentic workflows and working with Conversational AI . Familiarity with LiveKit , AWS (including Lambda functions ), Google Cloud Platform (GCP), and Vertex AI . Interest in prompt engineering and few-shot learning techniques. Familiarity with programming languages like Python and frameworks like PyTorch or TensorFlow. Strong problem-solving skills and a keen interest in AI research. Why Growhut? At Growhut, we offer more than just an internship - we provide an opportunity to shape the future of AI. Here’s what sets us apart: Work on diverse, cutting-edge projects that will challenge and inspire you. Be part of a fast-growing company where your impact is felt immediately. Collaborate with a team of brilliant minds, pushing each other to new heights. The Growhut Difference At Growhut, we believe in AI’s power to change the world. We’re not just riding the wave of the future—we’re creating it. Every day, you’ll be able to work on projects that matter, solving real problems for real people. We’re looking for someone who is eager to learn, excited to take on challenges, and ready to contribute to groundbreaking AI innovations. If you’re ready to kickstart your career in AI, apply now , and let’s reshape the future together! Show more Show less

Greetings from TCS!!! TCS is looking for Contact Center Technical SME Job Title - Contact Center Technical SME Experience - 8+ years Location - PAN India Role Overview We are looking for a Contact Center Technical SME with deep expertise in contact center configuration and a strong understanding of AI-driven customer engagement technologies. This role will be instrumental in configuring and optimizing contact center platforms while integrating Virtual Agents, Conversational AI, and Generative AI solutions to enhance customer experience and operational efficiency. Key Responsibilities Serve as the technical expert for contact center platforms (e.g., Genesys, Avaya, Cisco, Amazon Connect, NICE CXone, five9). Configure and maintain IVRs, call flows, routing strategies, agent profiles, and AI-powered virtual agents. Collaborate with business and AI teams to design and implement Conversational AI solutions using platforms like Google Dialogflow, Amazon Lex, or Microsoft Bot Framework Participate in RFP and proactive deals to provide solutions across contact center Integrate Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Google Vertex AI) for use cases such as agent assist, auto-summarization, sentiment analysis, and knowledge base generation. Support the deployment and tuning of AI models for real-time and post-call analytics. Ensure seamless integration between AI tools, CRM systems, and contact center platforms. Monitor and optimize AI performance, ensuring high accuracy and customer satisfaction. Maintain documentation for AI workflows, configurations, and system changes. Stay current with emerging AI trends and recommend innovative solutions. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 8+ years of experience in contact center technology with a focus on configuration and system administration. Hands-on experience with contact center platforms and AI tools. Experience implementing Virtual Agents and Conversational AI solutions. Familiarity with Generative AI APIs and frameworks (e.g., OpenAI, Azure OpenAI, Google Cloud AI). Strong understanding of call routing, IVR design, ACD, CTI, and WFM systems. Proficiency in scripting or configuration languages used in contact center platforms. Excellent analytical, problem-solving, and communication skills. Show more Show less

Description Create and save detailed payroll and withholding summary reports for record-keeping. Maintain and update payroll data, ensuring automated processes are triggered or re-run as needed. Manage payroll files for internal systems and upload them to the General Ledger. Prepare and file tax forms accurately for federal, state, and local jurisdictions by deadlines. Submit payroll taxes to authorities and make adjustments as required. Access state tax agency websites to establish new withholding account numbers. Execute monthly/quarterly tax job processes as needed. Perform payroll reconciliations and ensure accuracy against the general ledger, resolving discrepancies. Set up and process deductions including wage garnishments and child support. Assist with the processing of international payroll ensuring compliance with foreign regulations. Follow documentation standards for all payroll deliverables. Preparing SOP and regular update with the changes in process. Collaboration with the US Payroll team to streamline processes and improve service delivery. Perform other duties as assigned. Qualifications Bachelor’s degree in commerce with 6-9 years of experience in International or US Payroll Accounting. Master’s degree preferred. Knowledge of international payroll regulations, preferred Experience with payroll and tax compliance software, Oracle, Vertex, ADP Smart Compliance and/or ADP Streamline, preferred Strong attention to detail, organizational skills, and ability to work in a fast-paced environment. Perform multiple tasks effectively, should be a team player and co-ordinate and be a part in building a team. Excellent verbal and written communication skills. High math aptitude. Proficient in Microsoft Excel. Job Accounting/Finance Primary Location India-Maharashtra-Mumbai Schedule: Full-time Travel: No Req ID: 250860 Job Hire Type Experienced Not Applicable #BMI N/A Show more Show less

Core experience in SAP BASIS and HANA administration 14. Experience in Rise with SAP, BTP, and Cloud ALM is essential 15. Must have experience in S/4 HANA transformation and migration 16. Hands-on experience in SAP sizing, designing SAP landscapes, and DR and High Availability (Cluster configuration) 17. Proficiency in SAP products: S/4 HANA, ECC 6.0 EHP5, SAP PI/PO, SAP BW, Solution Manager, portal system, Fiori system, BODS/BOBJ, LaMa, SLT, RISE, and BTP 18. Ability to handle a team size of 30-40 Basis consultants 19. Managing SAP applications on cloud environments (AWS, Azure, SAP, and GCP) 20. Experience in automating routine tasks in SAP Basis operations and migrations 21. Experience in SAP Basis pre-sales activities and solution designing 22. Hands-on knowledge in cluster/HA and DR configuration 23. A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Experience in migrations from on-premise to on-premise/cloud environments 24. Ability to work on both OS (Linux/Unix) tasks for SAP as well as SAP Basis runtime administration 25. Proficiency in SAP NetWeaver ABAP Basis and SAP NetWeaver Java Basis tasks 26. Extensive experience in HANA System replication, root cause analysis, and fixing issues related to system replication, performance, memory/CPU bottlenecks, HANA failovers, and system unavailability 27. Working knowledge of integrating 3rd Party tools with SAP systems like Esker, Taulia, Vertex, OpenText, Libelle, NLS (IQ), PowerBI PowerApps, Denodo, HVR, SuccessFactors, Splunk, and UC4 28. Hands-on experience and good knowledge of SSO (both Kerberos and SAML based SSO), configuring EWA reports, and Charm configuration 29. Experience in handling SSL scenarios, renewing, updating certificates, and troubleshooting certificate-related issues 30. Experience in system refresh, HANA DB upgrades, kernel updates, SPS updates, release upgrades, etc 31. Show more Show less

Senior Technical Architect Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . 14. Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks.

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who We Are ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions is opening its new India Development Center in Chennai, India, and we’re looking for talented individuals to join our team. As we expand our platform, we’re offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems? Look no further! Join us in shaping the future of the automotive marketplace! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. Who We Are Looking For ACV’s Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML team’s solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as we’ve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable. What You Will Do Actively and consistently support all efforts to simplify and enhance the customer experience. Work with fellow machine learning engineers to build, automate, deploy, and monitor ML applications. Develop data pipelines that feed ML models. Deploy new ML models into production. Build REST APIs to serve ML models predictions. Monitor performance of models in production. Perform additional duties as assigned. What You Will Need Required Qualifications: Ability to read, write, speak and understand English. Graduate education in a computationally intensive domain or equivalent work experience. 5+ years of prior relevant work or lab experience in ML projects/research, and 1+ years as tech lead or major contributor on cross-team projects. Advanced proficiency with Python, SQL etc. Experience with cloud services (AWS / GCP) and kubernetes, docker, CI/CD. Preferred Qualifications: Experience with MLOps-specific tooling like Vertex AI, Feast, Kubeflow, or Weights and Biases, etc. are a plus. Experience with EDA, including data pipeline building and data visualization. Experience with building ML models. Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Show more Show less

Dear Professionals, Greetings from Covenant Consultants !!! We have an exciting opportunities for SAP Consultant, Please find the details below. 1. Job Title: SAP FICO Consultant Experience : 9+ Years Location: Bangalore, Chennai, Hyderabad Mode of Work: Hybrid Shift Timing: US Shift – 6 PM IST to 3 AM IST About the Role: We are looking for an SAP FICO Consultant with 9+ years of SAP's experience in FI/CO. Requirements: Experience analyzing business needs, creating specs, and developing FI/CO reports Ensure SAP FI/CO compliance with best practices and support strategic documentation Proven coordination with global teams and stakeholders Hands-on experience in support, enhancements, and custom SAP environments Skilled in ticket handling, SLA processes, and technical collaboration Strong report analysis with at least 2 full SAP R/3 implementations SAP certification preferred 2. Role: SAP S4 HANA FICO, Specialist in SAP Taxation Experience: 5–9 years Work Mode: Hybrid (3 days office) REQUIREMENTS: Bachelor’s degree or 6+ years of relevant experience with at least 2 full-cycle SAP S4 HANA implementations Strong experience in tax for large, complex transformation projects, including indirect tax analysis and gathering business requirements for tax configuration and solutions Experience implementing new SAP tax applications as needed Expertise in SAP transactional processes, core tax components, and Vertex taxation (including VAT, tax codes, rules, mappings, reports, reverse charge, and RFC connectivity) Integration experience between FI-MM and FI-CA Good understanding of Invoice-to-Pay processes such as Accounts Payable and Travel & Expense GOOD TO HAVE: Master’s/MBA/CA with 8+ years experience and S4HANA certification Strong business knowledge and integration experience Ability to design solutions and troubleshoot issues ERP project lifecycle and testing experience Excellent communication and analytical skills If this sounds like the right opportunity for you or someone in your network, please share your CV to bavethra@covenantindia.net or WhatsApp 7200467803 Bavethra K Executive - Talent Acquisition COVENANT CONSULTANTS bavethra@covenantindia.net 7200467803 Show more Show less

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who We Are ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with datasolutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of theindustry and we want you to join us on our journey. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions is opening its new India Development Center in Chennai, India, and we’re looking for talented individuals to join our team. As we expand our platform, we’re offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems? Look no further! Join us in shaping the future of the automotive marketplace! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. What You Will Do ACV’s Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML team’s solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as we’ve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable. The Core Responsibilities Of This Role Are Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications. Developing data pipelines that feed ML models. Deploy new ML models into production. Building REST APIs to serve ML models predictions. Monitoring performance of models in production. Required Qualifications Graduate education in a computationally intensive domain or equivalent work experience. 5+ years of prior relevant work or lab experience in ML projects/research, and 1+ years as tech lead or major contributor on cross-team projects. Advanced proficiency with Python, SQL etc. Experience with cloud services (AWS / GCP) and kubernetes, docker, CI/CD. Preferred Qualifications Experience with MLOps-specific tooling like Vertex AI, Ray, Feast, Kubeflow, or ClearML, etc. are a plus. Experience with EDA, including data pipeline building and data visualization. Experience with building ML models. Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Show more Show less

About Eucloid At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industries—from Hi-tech and D2C to Healthcare and SaaS. With partnerships with giants like Databricks, Google Cloud, and Adobe, we’re pushing boundaries and building next-gen technology. Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients. What You’ll Do Design, build, and optimize AI platforms and pipelines on Google Cloud Platform (GCP) . Implement AI Ops practices and DevOps workflows for end-to-end machine learning lifecycle management (model training, deployment, monitoring). Develop automation scripts for deployment and manage cluster deployment on Kubernetes (GKE) . Build and maintain scalable CI/CD pipelines using tools like Jenkins, Cloud Build, or GitLab CI/CD for AI workflows. Architect GCP-based infrastructure using Terraform (Infrastructure as Code) for AI workloads (Vertex AI, BigQuery, Dataflow). Collaborate with data scientists to operationalize AI models and ensure seamless integration into production environments. Optimize cloud infrastructure for cost, performance, and security, focusing on automation and scalability. What Makes You a Fit Academic Background: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field. Technical Expertise: 5+ years of experience in AI engineering, DevOps, or cloud platforms , with a focus on Google Cloud (GCP) . Hands-on experience with GCP services : Vertex AI, Kubernetes Engine (GKE), BigQuery, Dataflow, and Terraform. Proficiency in CI/CD pipeline tools: Jenkins , GitLab CI/CD, or Cloud Build. Strong coding skills in Python for scripting and automation. Expertise in Kubernetes for cluster deployment and orchestration. Experience with Infrastructure as Code (IaC) using Terraform or Google Deployment Manager. Knowledge of automation scripts for deployment and containerization ( Docker ). Extra Skills: Professional Cloud DevOps Engineer or related certification. Familiarity with Gen-AI tools (LangChain, Vertex AI Generative AI). Exposure to monitoring tools like Cloud Monitoring, Prometheus, or Grafana . Why You’ll Love It Here Innovate with the Best Tech: Work on groundbreaking projects using AI, GenAI, LLMs, and massive-scale data platforms. Tackle challenges that push the boundaries of innovation. Impact Industry Giants: Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS, and Retail. Partner with platforms like Databricks, Google Cloud, and Adobe to create high-impact products. Collaborate with a World-Class Team: Join exceptional professionals from IITs, IIMs, NITs, and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, grow, and lead in a team that values expertise and collaboration. Accelerate Your Growth: Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority. Work in a Culture of Excellence: Be part of a dynamic workplace that fosters creativity, teamwork, and a passion for building transformative solutions. Your contributions will be recognized and celebrated. About Our Leadership Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad). Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow). Key Benefits Competitive salary and performance-based bonus. Comprehensive benefits package, including health insurance and flexible work hours. Opportunities for professional development and careers growth. Location: Gurugram Submit your resume to saurabh.bhaumik@eucloid.com with the subject line “ Application: Platform Engineer (GCP). ” Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment. Show more Show less

Position Summary... What you'll do... Role: Staff, Data Scientist Experience: 8 - 15 years Location: Chennai About Team The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations ; our associates, helping Customers Save Money to Live Better. What You Will Do As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail ; Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager ; Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists ; staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives What You Will Bring Masters with > 10 years OR Ph.D. with > 8 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 6 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation ; Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency About Walmart Global Tech From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmarts scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow. Flexible, Hybrid Work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Belonging at Walmart We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feels included, everyone wins. Approximately 90% of the U.S. population lives within 10 miles of a Walmart or Sam's Club our associates and customers reflect the makeup of all of America, as well as the 18 other countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Belonging: We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Associates: We want to ensure our associates worldwide are seen for their unique contributions, supported in their daily work, and connected to co-workers. Walmart is the U.S. largest private employer. Our policies, practices, and programs promote fairness and the same treatment for all associates. Everyone in our workforce has the same access to opportunities for growth, development, and advancement. We transparently report on our workforce twice a year and we have associate resource groups to further engagement, networking, connection and a sense of community. Business ; Customers: We provide an assortment of products and services that meet the unique needs of our customers and members while strengthening our connection to the communities we serve. We operate sensory friendly hours in all stores from 8 a.m. to 10 a.m. daily and offer Carolines Carts - a specially designed shopping cart for children and adults with disabilities. Our focus every day is how we can best serve our customers with quality food and goods at everyday low prices, which are 10-25% lower than those of competitors. Communities: Walmart thrives when we take a shared value approach, complementing business with philanthropy to strengthen the communities where we operate and prioritize issues that are meaningful to our business and all customers. Walmart is one of the most charitable companies in the Fortune 500. Last year we gave away over 8% profits through a combination of in-kind and cash gifts totaling more than $1.7 billion. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2128987 Show more Show less

Hi, I’m hiring for the role of Oracle Cloud EBS Finance- Vertex for one of the MNC. 100% REMOTE & CONTRACT OPPORTUNITY! Role: Oracle Cloud EBS Finance- Vertex Relevant Experience- 6+ Years ( Oracle Cloud EBS Finance- Vertex ) Mode: Remote Shift: 6:30PM-2:30AM Duration: 1 year (Extendable) Job Description: 1. 6+ years of experience with Oracle EBS AP/AR/GL with deep experience in working with Vertex integration. 2. Functional experience in Oracle EBS AP/AR/GL. 3. Must have experience working on Vertex integration with EBS. 4. Work closely with the tax department and Ryan consulting setting up and testing Tax rules changes. 5. Expected to work independently with business users. 6. Ability to debug and fix AP Invoice Tax Issues EBS 7. Support periodic tax details upload to Vertex. 8. Other custom application ( point of Sales ) use Vertex and need to support these applications tax issues by debugging , coordinating with business users and Vertex product team. Interested candidates can share their resume himani@aaryavinservices.com Show more Show less

Responsibilities: - Collaborate with the sales team to understand customer challenges and business objectives and propose solutions, POC etc.. - Develop and deliver impactful technical presentations and demos showcasing the capabilities of GCP Data and AI , GenAI Solutions - Conduct technical proof-of-concepts (POCs) to validate the feasibility and value proposition of GCP solutions. - Collaborate with technical specialists and solution architects from COE Team to design and configure tailored cloud solutions. - Manage and qualify sales opportunities, working closely with the sales team to progress deals through the sales funnel. - Stay up to date on the latest GCP offerings, trends, and best practices. Experience : - Design and implement a comprehensive strategy for migrating and modernizing existing relational on-premise databases to scalable and cost-effective solution on Google Cloud Platform ( GCP). - Design and Architect the solutions for DWH Modernization and experience with building data pipelines in GCP - Strong Experience in BI reporting tools ( Looker, PowerBI and Tableau) - In-depth knowledge of Google Cloud Platform (GCP) services, particularly Cloud SQL, Postgres, Alloy DB, BigQuery, Looker Vertex AI and Gemini (GenAI) - Strong knowledge and experience in providing the solution to process massive datasets in real time and batch process using cloud native/open source Orchestration techniques - Build and maintain data pipelines using Cloud Dataflow to orchestrate real-time and batch data processing for streaming and historical data. - Strong knowledge and experience in best practices for data governance, security, and compliance - Excellent Communication and Presentation Skills with ability to tailor technical information as per customer needs - Strong analytical and problem-solving skills. - Ability to work independently and as part of a team. Apply Save Save Pro Insights

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Data Science Requisition ID: 64637 City: Hyderabad Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Mandatory Skills ML , Deep Learning, Langchain, RAG and (GenAI OR Computer vision OR Natural language processing OR Time series ) Good To Have GCP/Any cloud ͏ Solid understanding of python Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX Experience with natural language processing (NLP) and machine learning (ML) Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Familiarity with Prompt Design and prompt tuning for Generative AI models Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI Exposure and familiarity in using BigQuery (Basic understanding) Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain Strong communication and teamwork skills 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: AI Cognitive . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Job Summary We are seeking a skilled AI Product Owner / Business Analyst to lead the design, development, and delivery of AI-powered solutions. The ideal candidate will bridge the gap between business needs and technical execution, working closely with cross-functional teams to drive product strategy and execution. Key Responsibilities Define and prioritize AI/ML product features and roadmaps in alignment with business goals. Translate business requirements into clear, actionable user stories and acceptance criteria. Collaborate with data scientists, engineers, and stakeholders to ensure product feasibility and success. Conduct market, user, and data analysis to guide product direction. Own the product backlog, sprint planning, and delivery lifecycle. Monitor KPIs and performance metrics to assess the impact of AI solutions. Required Skills & Qualifications 6–10 years of experience in product ownership or business analysis, with 3+ years in AI/ML initiatives. Strong understanding of AI/ML technologies, NLP, predictive analytics, and data pipelines. Experience with Agile methodologies, Jira, and product management tools. Excellent communication, stakeholder management, and problem-solving skills. Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field. Preferred Qualifications Experience working with AI platforms (Azure ML, AWS SageMaker, Google Vertex AI). Familiarity with regulatory and ethical considerations in AI development. Show more Show less

Role & responsibilities Expertise in aligning tax processes and technology solutions along with process automation skills Expertise in ERP/Tax engine integration/implementation/optimization (Oracle/OneSource-Sabrix/Workday/Vertex - required) Knowledge and experience in global tax accounting and tax compliance operations - IDT, DT Experience in building and executing tax/finance transformation roadmaps for large automation implementation/integration projects. Preferred candidate profile -Required 10+ years of experience , Vertex SME (preferably MS/MCA/BE/B.Tech/BCA, BSc computer Sc) Thanks & Regards, Sraboni Das Talent Acquisition Executive Contact No-8017527519 A CMMI Level 3 Organization Infocus Technolgies Pvt Ltd

Role : MLOps Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Job Description Data Scientist and Machine Learning Exp - 4-12 years Location - Hyderabad and Chennai We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies. Responsibilities Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning. Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow. Develop and maintain clear and concise documentation of generative AI models, processes, and results. Communicate complex concepts and results to both technical and non-technical stakeholders. Provide support and guidance to other team members, and contribute to a positive, collaborative working environment. Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI. Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability. Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models. Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.). Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning. Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies. Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team. Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure. Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI. Experience with cloud deployments, containerization, and orchestration of AI models. Show more Show less

Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud (GCP preferred), MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace) into existing or new platforms Build scalable backend services and data pipelines to support AI/ML workloads Explore and validate use cases across multiple business functions for GenAI application and automation opportunities Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings Experience in building and integrating GenAI services in real-time or batch applications Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines Familiarity with CI/CD pipelines, API development, and cloud-native architectures Excellent communication, collaboration, and stakeholder management skills Show more Show less

Job Overview (Primary Skills - GCP, Kubeflow, Python, Vertex.ai) As a Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations. What You Will Do Work with data science leadership and stakeholders to understand business objectives, map the scope of work, and support colleagues in achieving technical deliverables. Invest in strong relationships with colleagues and build a successful followership around a common goal. Build and optimize ML pipelines for feature engineering, model training, and inference. Develop low-latency, high-throughput model endpoints for distributed environments. Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure Troubleshoot, debug, and validate ML systems for performance and reliability. Write and maintain automated tests (unit and integration). Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions. Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation. Skills You Will Need Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for colleagues. Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to diverse audiences. Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions. Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java. Who You Are 5+ years of industry experience working with machine learning tools and technologies. Familiarity with agile development frameworks and collaboration tools (e.g., JIRA, Confluence). Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred. Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies. An ongoing learner who seeks out emerging technology and can influence others to think innovatively. Gets energized by fast-paced environments and capable of supporting multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timelines to team members. Dedicated to fulfilling ideals of diversity, inclusion, and respect that the client aspire to achieve every day in every way. Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

Python Developer - 5positions - Bangalore / Chennai - 1LPM - 6months Contracts "Interpersonal skills, capable of leading and working on business-critical application. We are seeking a Senior Python Developer with a strong background in building scalable, resilient, and highly available microservices application. The ideal candidate will have extensive experience in developing microservices based enterprise application, event-driven apps, and using MongoDB. Responsibilities: Participate effectively in the entire software development life cycle Leading for solution design and implementation Design, develop, test and refine deliverables that meet the objectives Collaborate with US partners for requirement understanding solution implementation and deployments Collaborate with Product Team, Scrum Master, Developers, QA and any other stakeholders as needed Analyze business and technology challenges and suggest solutions Responsible for application development, maintenance, and security requirements Essential Qualifications (Technical Skills): 8+ years of experience as Python developer. Strong Python programming skills. Design, develop, and maintain backend services using FastAPI/Flask. Design, develop, and deploy microservices using Python. In depth experience of python framework and tool such as NumPy, Pandas, pyMongo. Implement event-driven architecture and use messaging queues such as Kafka, RabbitMQ or ActiveMQ for asynchronous processing. Ensure efficient multithreading and concurrency in backend processes. Design and implement secure REST APIs for consumption by a React application. Consume services provided by interface systems Write complex MongoDB queries and perform data aggregation. Experience with MongoDB for database management and data retrieval. Implement security measures to protect API endpoints. Hands on experience with GCP services, particularly Vertex AI, Document AI. Understanding of Cloud principles and experience on developing application hosted on cloud environment. Understanding of high availability, scalability, and resilience in software systems Experience with CI/CD technologies such as Gradle, Jenkins, GitHub, Artifactory, Harness, Sonar, open shift/Kubernetes, Docker etc. Experience on automated unit testing framework Pytest, magicmock Experience on agile software development lifecycle. Object oriented design and analysis, programming styles and design patterns. Non-Technical: * Capable of reasoning and thinking through problems and developing desired solutions, independently or with others as required " Non IT - Tele Callers - (ITS GOVERNMENT PROJECT - LETS WORK FOR COUNTRY) per closure for the candidates 2000/- flat rate. Show more Show less

Role - Backend Developer Experience - 3-5 Yrs Location - Bangalore ● Bachelors/Masters in Computer science from a reputed institute/university ● 3-7 years of strong experience in building Java/golang/python based server side solutions ● Strong in data structure, algorithm and software design ● Experience in designing and building RESTful micro services ● Experience with Server side frameworks such as JPA (HIbernate/SpringData), Spring, vertex, Springboot, Redis, Kafka, Lucene/Solr/ElasticSearch etc. ● Experience in data modeling and design, database query tuning ● Experience in MySQL and strong understanding of relational databases. ● Comfortable with agile, iterative development practices ● Excellent communication (verbal & written), interpersonal and leadership skills ● Previous experience as part of a Start-up or a Product company. ● Experience with AWS technologies would be a plus ● Experience with reactive programming frameworks would be a plus · Contributions to opensource are a plus ● Familiarity with deployment architecture principles and prior experience with container orchestration platforms, particularly Kubernetes, would be a significant advantage Show more Show less

Role : AI Research Engineer Industry Type : IT & Development Department: Xtec Global | Research & Development Employment Type : Full Time, Permanent Experience : Fresher Location: Rudra Tower, Plot NO. F-163, Phase 8B, Industrial Area, Sector 74, Sahibzada Ajit Singh Nagar, Punjab 140308, India About Company At Xtec Global, we are on a mission to build intelligent, efficient, and scalable systems that empower teams through AI innovation. We’re looking for a curious and analytically strong AI Research Engineer (Trainee) who is excited to explore the latest AI tools and technologies, conduct real-world research, and support development teams by keeping them up to date with the ever-evolving AI ecosystem. Responsibility Work closely with Project Managers to understand product requirements and contribute to planning and development strategies Research and evaluate AI tools, APIs, and frameworks (e.g., OpenAI, Hugging Face, LangChain, Claude, Gemini, Vertex AI) and recommend the most suitable options for team use. Share findings with the development team and train or guide them on how to implement these tools effectively Collaborate with senior researchers and engineers to design, prototype, and test new AI-driven features Evaluate and fine-tune AI models for performance, reliability, and practical use in code generation and analysis Integrate and test AI components within existing product infrastructure in collaboration with product and engineering teams Track and analyse AI trends, adapt state-of-the-art public research into working prototypes, and contribute to internal R&D knowledge base Continuously propose innovative applications of AI to enhance development workflows and reduce manual effort Required Skills & Qualifications Bachelor’s degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, or a related technical field Strong analytical thinking and a passion for solving complex problems Excellent research skills with the ability to analyze, summarize, and present findings clearly Team-oriented mindset with the ability to collaborate, mentor peers, and communicate ideas effectively A fast learner who keeps up with the latest advancements in AI and technology What You’ll Gain Exposure to real-world AI product development Opportunity to lead and influence tech decisions through tool evaluation A learning culture focused on growth, innovation, and real impact How to Apply Send your resume to hr@xtecglobal.com with the subject line: “Application – AI Research Engineer – [Your Name]” Job Types: Full-time, Permanent Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Weekend availability Work Location: In person