1489 Vertex Jobs - Page 11

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs ; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices ; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, Java/Spring, Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture ( GCP preferred ), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice , or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Job Id: R0000393743 Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability. Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs. Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless). Build user‑centric front‑end interfaces with React/TypeScript and modern UI patterns. Lead code reviews, establish testing strategies, and uphold engineering best practices. Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety. Advance security posture by performing threat modeling, vulnerability management, and incident response. Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk. Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production. Required Qualifications : 5–7 years of professional full‑stack development experience. 3+ years supporting mission‑critical production systems, including on‑call rotations. Deep proficiency in React (or Vue/Angular) and Kotlin/Micronaut, Java/Spring, or Python on the back end. Expertise in API design (REST, GraphQL) and event streaming ( Kafka ). Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ). Demonstrated experience automating CI/CD pipelines and Infrastructure as Code. Strong knowledge of infrastructure and application security; scripting in shell/Python , config mgmt in Chef/Terraform . Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills. Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering. Preferred Skills : Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech/Vertex AI, or other telephony/IVR/Voice AI platforms. Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises. Track record of shipping AI‑powered features to production at scale. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability. Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs. Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless). Build user‑centric front‑end interfaces with React/TypeScript and modern UI patterns. Lead code reviews, establish testing strategies, and uphold engineering best practices. Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety. Advance security posture by performing threat modeling, vulnerability management, and incident response. Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk. Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production. Required Qualifications : 5–7 years of professional full‑stack development experience. 3+ years supporting mission‑critical production systems, including on‑call rotations. Deep proficiency in React (or Vue/Angular) and Kotlin/Micronaut, Java/Spring, or Python on the back end. Expertise in API design (REST, GraphQL) and event streaming ( Kafka ). Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ). Demonstrated experience automating CI/CD pipelines and Infrastructure as Code. Strong knowledge of infrastructure and application security; scripting in shell/Python , config mgmt in Chef/Terraform . Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills. Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering. Preferred Skills : Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech/Vertex AI, or other telephony/IVR/Voice AI platforms. Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises. Track record of shipping AI‑powered features to production at scale. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Req ID: 333041 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. (Must Have) 2+ years of experience with Python (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots (Must Have) 1+ years of experience with Playbooks , Vertex AI (Must Have) Exposure to ADK (hands-on) and Voice AI (Good to have) , LangChain and/or LangGraph is a plus (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning) (Good to have) ,4+ years of experience with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services (Good to have) ,2+ years of Deep Domain Driven Design experience with cloud native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s or Serverless cloud technologies. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Company Qualcomm India Private Limited 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. 1-3 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 engine: GPGPU 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 preferred: Android, QNX, embedded Linux, Genivi, Integrity. Knowledge of Graphics frameworks: Kanzi, QT, is a plus *Fluent in industry standard software tools: SW/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. Required: Bachelor's, Computer Engineering and/or Computer and/or Electrical Engineering Preferred: Master's, Computer Engineering and/or Computer and/or Electrical Engineering 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 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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. 3077262

Roles & Responsibilities Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related technical discipline. Experience with MLOps tools and workflows (e.g., Docker, Kubernetes, MLflow, SageMaker, Vertex AI). Ability to build and expose APIs for models using FastAPI, Flask, or similar frameworks. Familiarity with data visualization (Matplotlib, Seaborn) and dashboarding (Plotly) tools or equivalent Working knowledge of version control, experiment tracking, and team collaboration Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, Large Language Models (LLM) About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Company Description Jadro Steel LLP is a leading and fast-growing prefabricated steel building construction company in Eastern India. With a young and enterprising team of architects, designers, and engineers, we provide complete end-to-end solutions. We are known for our reliability and professionalism in manufacturing prefabricated structures such as factory sheds, warehouses, portable cabins, prefabricated hybrid steel buildings, LGSF Structures. Role Description This is a full-time on-site role located in the Greater Kolkata Area for a Vertex BD Detailer for LGSF (Light Gauge Steel Framing). The Vertex BD Detailer will be responsible for preparing detailed architectural and structural drawings using Vertex BD software, creating accurate 3D models, and coordinating with the design and engineering teams. The role also involves reviewing and modifying designs to meet client requirements and ensuring compliance with industry standards. Qualifications Experience using Vertex BD software and proficiency in creating detailed architectural and structural drawings Familiarity with Light Gauge Steel Framing (LGSF) and knowledge of prefabricated steel structures Strong coordination and communication skills to work effectively with design and engineering teams Attention to detail and the ability to review and modify designs to meet client requirements Knowledge of industry standards and compliance requirements Excellent problem-solving skills and the ability to work independently Please send your resume by whatsapp on 8240054430

We are seeking a Technical Lead with strong Application Development expertise in Google Cloud Platform (GCP). The successful candidate will provide technical leadership in designing and implementing robust, scalable cloud-based solutions. If you are an experienced professional passionate about GCP technologies and committed to staying abreast of emerging trends, apply today. Responsibilities Design, develop, and deploy cloud-based solutions using GCP, establishing and adhering to cloud architecture standards and best practices Hands on coding experience in building Java Applications using GCP Native Services like GKE, CloudRun, Functions, Firestore, CloudSQL, PubSub, etc. Develop low-level application architecture designs based on enterprise standards Choose appropriate GCP services meeting functional and non-functional requirements Demonstrate comprehensive knowledge with GCP PaaS, Serverless, and Database services Provide technical leadership to development and infrastructure teams, guiding them throughout the project lifecycle Ensure all cloud-based solutions comply with security and regulatory standards Enhance cloud-based solutions optimizing performance, cost, and scalability Stay up-to-date with the latest cloud technologies and trends in the industry Familiarity with GCP GenAI solutions and models including Vertex.ai, Codebison, and Gemini models is preferred, but not required Having hands on experience in front end technologies like Angular or React will be added advantage Requirements Bachelor's or Master's degree in Computer Science, Information Technology, or a similar field Must have 8 + years of extensive experience in designing, implementing, and maintaining applications on GCP Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring Solid understanding of cloud security best practices and experience in implementing security controls in GCP Thorough understanding of cloud architecture principles and best practices Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles Proven leadership skills and the ability to mentor and guide a technical team

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. Responsibilities This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Responsibilities : Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle: data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58 years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc. Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech)

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Years of Experience: Candidates with 4+ years of hands on experience Position: Senior Associate Industry: Telecom / Network Analytics / Customer Analytics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Proven experience with telco data including call detail records (CDRs), customer churn models, and network analytics Deep understanding of predictive modeling for customer lifetime value and usage behavior Experience working with telco clients or telco data platforms (like Amdocs, Ericsson, Nokia, AT&T etc) Proficiency in machine learning techniques, including classification, regression, clustering, and time-series forecasting Strong command of statistical techniques (e.g., logistic regression, hypothesis testing, segmentation models) Strong programming in Python or R, and SQL with telco-focused data wrangling Exposure to big data technologies used in telco environments (e.g., Hadoop, Spark) Experience working in the telecom industry across domains such as customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics Strong communication skills to interface with technical and business teams Nice To Have Exposure to cloud platforms (Azure ML, AWS SageMaker, GCP Vertex AI) Experience working with telecom OSS/BSS systems or customer segmentation tools Familiarity with network performance analytics, anomaly detection, or real-time data processing Strong client communication and presentation skills Roles And Responsibilities Assist analytics projects within the telecom domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly strong analytical background to work in our Analytics Consulting practice Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 4+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly strong analytical background to work in our Analytics Consulting practice Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 4+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Location : Preferred: Ahmedabad, Gandhinagar, Hybrid (Can consider Remote case to case). Experience : 8+ Years (with hands-on AI/ML architecture experience). Education : Ph. or Master's in Computer Science, Data Science, Artificial Intelligence, or related fields. Job Summary We are seeking an experienced AI/ML Architect with a strong academic background and industry experience to lead the design and implementation of AI/ML solutions across diverse industry domains. The ideal candidate will act as a trusted advisor to clients, understanding their business problems, and crafting scalable AI/ML strategies and solutions aligned to their vision. Key Responsibilities Engage with enterprise customers and stakeholders to gather business requirements, problem statements, and aspirations. Translate business challenges into scalable and effective AI/ML-driven solutions and architectures. Develop AI/ML adoption strategies tailored to customer maturity, use cases, and ROI potential. Design end-to-end ML pipelines and architecture (data ingestion, processing, model training, deployment, and monitoring). Collaborate with data engineers, scientists, and business SMEs to build and operationalize AI/ML solutions. Present technical and strategic insights to both technical and non-technical audiences, including executives. Lead POCs, pilots, and full-scale implementations. Stay updated on the latest research, technologies, tools, and trends in AI/ML and integrate them into customer solutions. Contribute to proposal development, technical documentation, and pre-sales engagements. Required Qualifications 8+ years of experience in the AI/ML field, with a strong background in solution architecture. Deep knowledge of machine learning algorithms, NLP, computer vision, deep learning frameworks (TensorFlow, PyTorch, etc.) Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, etc.) Strong communication and stakeholder management skills. Proven track record of working directly with clients to understand business needs and deliver AI solutions. Familiarity with MLOps practices and tools (Kubeflow, MLflow, Airflow, etc. Preferred Skills Experience in building GenAI or Agentic AI applications. Knowledge of data governance, ethics in AI, and explainable AI. Ability to lead cross-functional teams and mentor junior data scientists/engineers. Publications or contributions to AI/ML research communities (preferred but not mandatory). (ref:hirist.tech)

9 - 12 Years 1 Opening Trivandrum Role description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes: Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures of Outcomes: Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected: Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management : Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control and Review : Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development : Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement gathering and Analysis: Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management: Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management: Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting: In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation and Thought Leadership: Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support: Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management: Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design: Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples: Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples: Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments: AI Architect Role Summary: Hands-on AI Architect with strong expertise in Deep Learning, Generative AI, and real-world AI/ML systems. The role involves leading the architecture, development, and deployment of AI agent-based solutions, supporting initiatives such as intelligent automation, anomaly detection, and GenAI-powered assistants across enterprise operations and engineering. This is a hands-on role ideal for someone who thrives in fast-paced environments, is passionate about AI innovations, and can adapt across multiple opportunities based on business priorities. Key Responsibilities: • Design and architect AI-based solutions including multi-agent GenAI systems using LLMs and RAG pipelines. • Build POCs, prototypes, and production-grade AI components for operations, support automation, and intelligent assistants. • Lead end-to-end development of AI agents for use cases such as triage, RCA automation, and predictive analytics. • Leverage GenAI (LLMs) and Time Series models to drive intelligent observability and performance management. • Work closely with product, engineering, and operations teams to align solutions with domain and customer needs. • Own model lifecycle from experimentation to deployment using modern MLOps and LLMOps practices. • Ensure scalable, secure, and cost-efficient implementation across AWS and Azure cloud environments. • Key Skills & Technology Areas: • AI/ML Expertise: 8+ years in AI/ML, with hands-on experience in deep learning, model deployment, and GenAI. • LLMs & Frameworks: GPT-3+, Claude, LLAMA3, LangChain, LangGraph, Transformers (BERT, T5), RAG pipelines, LLMOps. • Programming: Python (advanced), Keras, PyTorch, Pandas, FastAPI, Celery (for agent orchestration), Redis. • Modeling & Analytics: Time Series Forecasting, Predictive Modeling, Synthetic Data Generation. • Data & Storage: ChromaDB, Pinecone, FAISS, DynamoDB, PostgreSQL, Azure Synapse, Azure Data Factory. • Cloud & Tools: o AWS (Bedrock, SageMaker, Lambda), o Azure (Azure ML, Azure Databricks, Synapse), o GCP (Vertex AI – optional) • Observability Integration: Splunk, ELK Stack, Prometheus. • DevOps/MLOps: Docker, GitHub Actions, Kubernetes, CI/CD pipelines, model monitoring & versioning. • Architectural Patterns: Microservices, Event-Driven Architecture, Multi-Agent Systems, API-first Design. Other Requirements: • Proven ability to work independently and collaboratively in agile, innovation-driven teams. • Strong problem-solving mindset and product-oriented thinking. • Excellent communication and technical storytelling skills. • Flexibility to work across multiple opportunities based on business priorities. • Experience in Telecom, E- Commerce, or Enterprise IT Operations is a plus. ________________________________________ ________________________________________ ________________________________________ Skills python,pandas,AIML,GENAI About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Date: Jul 18, 2025 Job Requisition Id: 62001 Location: Hyderabad, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire S/4 HANA FICO Professionals in the following areas : Our SAP Service Line is currently looking for industry-leading seasoned SAP FICO professionals with hands-on experience in S/4 HANA FI and CO. The shortlisted candidate should have the ability to analyze technical needs and work with the customers to develop project scope of work documents and Project Plans. S4 HANA-Financial accounting and Controlling General Ledger Accounting Accounts Payable and Accounts receivables APP, MBC (Multi bank connector) for Payment process. Good working knowledge on DMEE, Lock Box, EBS and banking related transaction FI-SD , FI-MM,FI-PP Integration should be able to do functional Testing and test script preparation Intercompany sales process and related taxes Taxes - Input Taxes , Output Taxes Good Working Knowledge on Vertex and Europe Taxation Good Working Knowledge in Fixed Assets, Investment Management Working knowledge on Project Systems , Integration of PS with Fixed assets Cost Center , Internal Order Working knowledge on Product Costing Working Knowledge on COPA Working knowledge on Fiori apps Able to work with technical team and hands on experience on FS preparation. Vendor invoice management process knowledge At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Company Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description Role: Financial Reporting Manager Job Location: Full remote Timing: Evening shift which starts 6/7 pm IST to 2/3 am Role type : Independent Contract with no end date (perpetual until either party gives notice to end the contract) Key Responsibilities: Financial Reporting and Analysis Manage the preparation and delivery of accurate monthly, quarterly, and annual financial statements. Provide in-depth analysis and insights into financial results, including variance analysis and key performance metrics. Key Performance Info (KPIs). Data Integrity, Management and SQL Analysis (Financial, Operational) Use SQL to extract, analyze, and interpret financial data Develop and maintain SQL queries to streamline reporting processes and enhance data accuracy. Work with IT and other departments to improve data accessibility and support data integrity. Projects including license management, feature pricing matrix, cost accounting mapping. e continue flow of revenue and cost matching. This includes understanding of billing and collection system (SQL, Riverrock), taxation (Vertex, Suretax, TaxJar), vendor data extraction and analysis (converting data into SQL, Pivot). Advanced Excel Analytics Leverage advanced Excel skills, including complex formulas, pivot tables, to perform detailed financial analysis. Build, maintain, and optimize financial models to support forecasting and budgeting. Automate repetitive reporting tasks using Excel Power Query, and other tools. Business Partnering and Cross-functional Collaboration Provide support/work parallel with revenue assurance function to support data validations of billing close / review credits to customers. Serve as a liaison between finance and other departments to support strategic initiatives and decision-making processes. Process Improvement and Controls Continuously improve financial reporting processes by implementing best practices and identifying automation opportunities. Maintain and strengthen internal controls over financial reporting. Lead or assist in special projects as needed to support the finance department and business objectives. Special Projects from management Review, audit or provide solutions on task assigned related to any issue or reporting Be creative enough to produce original reports and have the ability to develop reports / analysis from scratch. Qualifications Must Have: Respectful approach to get information for other departments. 5+ years of experience in financial reporting, a CPA or CA preferable. 3+ years of experience in SQL data extraction. While expert level is not needed, the understanding of a data dictionary (JOIN clauses) is recommended. Experience in the a) subscription MRC technology, b) telecommunications; Experience in USA/Canada regulatory and taxation. Experience with Microsoft Office, including Word, Excel, Access, and PowerPoint Knowledge of research methods and concepts Ability to work independently to regular cycles. Importantly, that must translate numbers into written reports or oral communications. Education: CA, CPA or MBA (with strong accounting and reporting experience) Experience level: 5-8 years Schedule: Monday to Friday Evening/Night Shift (Indian Time Zone) , Day shift (pacific time zone) Location: Remote Additional Information Apply only if you ok with these mandatory requirements: 1) Evening/night shift 2) The employment will be in a nature of contract role (Independent Contractor) without any end date in contract since you will work independently without being in US payroll.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in SAP finance at PwC will specialise in providing consulting services for SAP finance applications. You will analyse client requirements, implement software solutions, and offer training and support for seamless integration and utilisation of SAP finance applications. Working in this area, you will enable clients to optimise financial processes, improve financial reporting, and achieve their strategic objectives. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Summary - A career in our Managed Services team will give you an opportunity to collaborate with many teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities, and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their SAP investment by managing the support and continuous transformation of their solutions in the areas of sales, finance, supply chain, engineering, manufacturing and human capital Minimum Degree Required (BQ) *: Bachelor’s Degree Required Field(s) Of Study (BQ) Preferred Field(s) of Study: Minimum Year(s) of Experience (BQ) *: US Minimum Of 6-10 Years Of Experience Preferred Skills/Certification(s) Preferred: SAP Certification in FICO/CFIN Experience in S/4HANA (Public Cloud) Preferred Knowledge As a Senior Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above. Be involved in the financial metrics. Be actively involved in business development activities to help identify and research opportunities on new/existing clients. Contribute to the development of your own and team’s technical acumen. Use data and insights to inform conclusions and support decision-making. Adherence to SLAs, experience in incident management, change management and problem management. Develop new skills and strategies to solve complex technical challenges. Assist in the management and delivering of large projects. Train, coach, and supervise staff to recognize their strengths and encourage them to take ownership of their personal development. Act to resolve issues which prevent the team working effectively. Keep up to date with local and national business and economic issues. Continue to develop internal relationships and the PwC brand. Build a strong team environment that includes client interactions, workstream management, and cross-team collaboration. Actively engage in cross competency work and contribute to COE activities. Demonstrating project management skills including the ability to manage multiple projects simultaneously while being detail oriented. Technical Skills Responsible for planning and executing SAP Implementation / Development / Support activities regarding SAP Finance and Controlling (FI-CO) along with Central Finance (CFIN). Understand client requirements, provide solutions, functional specifications and configure the system accordingly. Ability to configure SAP FI-CO and CFIN, deliver work products / packages confirming to the Client's Standards & Requirements. Integration of the FI-CO module with other SAP modules and with external applications. Hands on experience in configuring / defining the following in the FICO / CFIN: SAP FI – General Ledger Accounting SAP FI – Accounts Receivable & Accounts Payable SAP FI – Asset Accounting SAP FI – Fixed Assets SAP CO – Cost Centers and Profit Centers SAP CO – Internal Orders SAP CO – Product Costing Master Data – GL, FA, CO, Consolidations Treasury Process – Master Data and Transactions Month End Close – Activities and foreign currency valuations Cost Management and Profitability Analysis – Financial Plan Data Upload File, FP&A, Margin Analysis, Overhead Cost Accounting, Universal Allocation Central Finance -Initial Loads Central Finance - Error Cockpit ICMR -Configuration, Matching Methods, Reconciliation Case, Matching Rules/Matching Expressions TAX – Indirect Tax – Tax Engine Vertex, US Sales and Tax Reporting, Exemption Certificate Management, S4 ProCo Alignment Vertex/Alteryx/SAP S4 VAT: Transactional Tax Determination and Tax Accounting in S4 (Non-US VAT in different countries), Electronic Tax Invoicing using SAP DRC (for India and Mexico) using SAP DRC, Indirect Tax Reporting using SAP DRC (Non-US VAT), SAP Deferred tax transfer program. TAX – Direct Tax – Income TAX Accounting (Provision), Income Tax Compliance, Withholding Tax, Tax Technology / Operations. Transfer Pricing – Intercompany Cost Allocations, Intercompany Services, Cost Sharing, Reporting and Analytics Cash Basis Ledger – Data Transfer, Transaction Posting, Reports Interfaces Works to minimize meetings and ceremonies, but when they are needed, they are well-run and efficient. Encourages a culture of team-driven decision making and commitment. Encourages team trust and facilitates team building events. Where appropriate, coaches the teams to improve collaboration and outcomes (coaching is the primary responsibility of teams’ managers) Qualification Good knowledge of SAP S/4HANA architecture and functionality ITIL 4 Certification Soft Skills Self-driven with a can-do attitude, with an excellent communication and client-facing skills Problem-solving mindset and ability to work in a collaborative environment. Strong relationship builder within the organization and with external partners.

Job Description : Principal AI Architect Employment Type : Full-Time. Relevant Experience : 10+ years Key Responsibilities AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing. Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services. Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors). Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability. Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring. Team Leadership : Provide technical leadership to data science and engineering teams. Promote best practices in AI ethics, version control, and reproducibility. Identify areas where AI can deliver business value and lead the development of proofs-of-concept (PoCs). Evaluate the feasibility, cost, and impact of new AI initiatives. Define best practices\standards for model lifecycle management (training, validation, deployment, monitoring) - Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech- specific AI tools, and drive their strategic adoption. Technical Skills And Tools ML & AI Frameworks : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases) MLOps & Deployment MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases FastAPI, gRPC, Docker, Kubernetes, Airflow FinTech-Specific Applications Credit scoring models, Fraud detection algorithms Time series forecasting, NLP for financial documents/chatbots Algorithmic trading models, AML (Anti-Money Laundering) systems Cloud & Data Platforms AWS SageMaker, Azure ML, Google Vertex AI Databricks, Snowflake, Kafka, BigQuery, Delta Lake Monitoring & Explainability SHAP, LIME, Alibi, Evidently AI, Arize AI IBM AIX 360, Fiddler AI Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus. 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries. Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization. Strong Hands-on Expertise In Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j) Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI Programming : Python (primary); Java or Scala (optional) Solid software engineering background with experience integrating ML models into scalable production systems. Excellent communication skills with the ability to influence both technical and non-technical stakeholders. (ref:hirist.tech)

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a highly skilled Data Scientist with deep expertise in machine learning (ML) and deep learning (DL), particularly in deploying solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with Dialogflow CX, Vertex AI, Python, LLMs, and Agentic AI systems, and a strong presence on GitHub showcasing real-world project. Responsibilities: Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools. Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems. Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering. Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks. Collaborate with engineering and product teams to translate business needs into scalable AI solutions. Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration. Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics. Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices. Qualifications 4+ years of professional experience in ML, DL, or applied AI roles. Hands-on expertise in machine learning (ML) and deep learning (DL), with real-world deployment experience on Google Cloud Platform (GCP). Proven experience with Dialogflow CX for building and optimizing conversational AI agents. Proficiency in Python, with strong software engineering practices (modular code, testing, version control). Demonstrated experience deploying and scaling models using Vertex AI and other GCP-native tools. Experience working with Large Language Models (LLMs) for NLP tasks like summarization, classification, and Q&A. Practical knowledge in designing and implementing Agentic AI systems, including autonomous planning, reasoning, and orchestration. Ability to develop API integrations and connect AI agents to backend services. Familiarity with CI/CD pipelines, Docker, and Kubernetes for deploying ML workflows. Strong communication and collaboration skills; ability to work cross-functionally with product and engineering teams. Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field (PhD is a plus). Demonstrated ability to solve business problems using AI with measurable outcomes (e.g., improved customer experience, reduced operational costs). Nice to have: Experience with LangChain, AutoGen, CrewAI, or similar LLM orchestration frameworks. Certification in Google Cloud (e.g., Professional Machine Learning Engineer or Cloud Architect) is preferred. We offer: The Chance to Make an Impact: grow alongside some of the tech industry’s premier talent, with a 99% project success rate delivering for some of the world’s biggest brands. Collaborate on projects that really matter, shaping the future of global industries for some of the biggest names in business. A Work From Anywhere Culture: make the most of the flexibility that comes with fully remote work, within a close-knit, values-driven community. Diversity and Empowerment: thrive in an inclusive and supportive multicultural environment, where differences are celebrated as a key driver of creativity and innovation. Our international culture of diversity gives everyone the chance to make a real difference – in their own way. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility, and internship opportunities. A Better Way of Working: join a company that puts sustainability at the heart of everything it does. Our community is active on a range of sustainability issues, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality and inclusion. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Company Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description Role: Financial Reporting Manager Job Location: Full remote Timing: Evening shift which starts 6/7 pm IST to 2/3 am Role type: Independent Contract with no end date (perpetual until either party gives notice to end the contract) Key Responsibilities: Financial Reporting and Analysis Manage the preparation and delivery of accurate monthly, quarterly, and annual financial statements. Provide in-depth analysis and insights into financial results, including variance analysis and key performance metrics. Key Performance Info (KPIs). Data Integrity, Management and SQL Analysis (Financial, Operational) Use SQL to extract, analyze, and interpret financial data Develop and maintain SQL queries to streamline reporting processes and enhance data accuracy. Work with IT and other departments to improve data accessibility and support data integrity. Projects including license management, feature pricing matrix, cost accounting mapping. e continue flow of revenue and cost matching. This includes understanding of billing and collection system (SQL, Riverrock), taxation (Vertex, Suretax, TaxJar), vendor data extraction and analysis (converting data into SQL, Pivot). Advanced Excel Analytics Leverage advanced Excel skills, including complex formulas, pivot tables, to perform detailed financial analysis. Build, maintain, and optimize financial models to support forecasting and budgeting. Automate repetitive reporting tasks using Excel Power Query, and other tools. Business Partnering and Cross-functional Collaboration Provide support/work parallel with revenue assurance function to support data validations of billing close / review credits to customers. Serve as a liaison between finance and other departments to support strategic initiatives and decision-making processes. Process Improvement and Controls Continuously improve financial reporting processes by implementing best practices and identifying automation opportunities. Maintain and strengthen internal controls over financial reporting. Lead or assist in special projects as needed to support the finance department and business objectives. Special Projects from management Review, audit or provide solutions on task assigned related to any issue or reporting Be creative enough to produce original reports and have the ability to develop reports / analysis from scratch. Qualifications Must Have: Respectful approach to get information for other departments. 5+ years of experience in financial reporting, a CPA or CA preferable. 3+ years of experience in SQL data extraction. While expert level is not needed, the understanding of a data dictionary (JOIN clauses) is recommended. Experience in the a) subscription MRC technology, b) telecommunications; Experience in USA/Canada regulatory and taxation. Experience with Microsoft Office, including Word, Excel, Access, and PowerPoint Knowledge of research methods and concepts Ability to work independently to regular cycles. Importantly, that must translate numbers into written reports or oral communications. Education: CA, CPA or MBA (with strong accounting and reporting experience) Experience level: 5-8 years Schedule: Monday to Friday Evening/Night Shift (Indian Time Zone), Day shift (pacific time zone) Location: Remote Additional Information Apply only if you ok with these mandatory requirements: 1) Evening/night shift 2) The employment will be in a nature of contract role (Independent Contractor) without any end date in contract since you will work independently without being in US payroll.

You are a Java expert with 7+ years of experience, proficient in REST APIs, JSON, and back-end technologies like J2EE, JDBC, JMS. You have solid experience in frameworks such as Spring, Spring Batch, Spring Boot, and Vertex. Rich front-end development experience with Angular/React JS, Node.JS, and Material Design is desirable. Additionally, working experience with Kafka, Redis, or NoSQL datastores is a plus. Your hands-on experience includes database technologies like MySQL, DB2, Oracle, and you are strong in understanding and writing both simple and complex SQL queries. You possess a solid grasp of Object-Oriented Programming concepts and design patterns. Experience with Agile development practices, Continuous Integration, and Continuous Delivery is crucial. You are familiar with technologies like GIT, Jenkins, Sonar, JUnit. Strong oral and written communication skills are required, along with proficiency in the entire software development lifecycle including version control, build process, testing, and code release. Your strong interpersonal and analytical skills enable you to excel in a fast-paced, high-performance team environment. Exceptional troubleshooting and multitasking abilities allow you to handle multiple priorities with minimal direction. You must work effectively within a team, contributing to the success of the organization. Mandatory Skills: Fullstack Java Enterprise Experience: 3-5 Years Join Wipro, a leading technology services and consulting company dedicated to helping clients achieve their digital transformation goals. We value constant evolution and reinvention, empowering our employees to design their own career paths. Be part of a purpose-driven organization that encourages personal growth and innovation. Applications from individuals with disabilities are encouraged. Visit www.wipro.com for more information.,

Dear Healthcare Business Development Manager, Vertex Elite is currently seeking qualified Healthcare Business Development Manager(Healthcare BDM) . If you or someone you know is interested, please feel free to reach out for more details or share your updated resume. Job Type : Full time position with Vertex Elite Solutions Pvt Ltd Location : Visakhapatnam, Andhra Pradesh, India With Best Regards, Lova Ramisetti | Email naga.ramisetti@vertexelites.com | www.vertexelites.com

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Senior Location: Chennai Work Type: Hybrid Position Description: We are global IT product team that implements and maintains globally used services for tax decision and reporting. Our products are based on SaaS cloud solutions from specialized vendors like Vertex and Edicom. Our team manages configuration, integration, and implementation of those solutions in the client environment using Informatica Cloud Middleware (IICS) and Python & BASH scripts running on Linux servers and in Google Cloud Platform. We need an experienced senior developer who independently develops software (Informatica Cloud Middleware) and Python / BASH scripts to deliver user stories that contribute to a valuable software product. He/she needs to perform, control and innovatively improve application development, deployment and testing standards for Informatica Cloud Middleware, plan, design and realize Data Integration, Application Integration and BPEL Service concepts in IICS and the Informatica Process Developer tool. We expect experience in software development, execution and evaluation of tests to confirm correct application functionality and to identify and fix software deficiencies Skills Required: ETL.Informatica, SOAP, Extensible Markup Language (XML), Linux, Python, SQL, Communications Skills Preferred: Big Query,, Agile Software Development, GitHub, Tekton, GCP Cloud Run Experience Required: At least 3-year experience in software development and maintenance in Informatica Cloud Middleware (IICS) Multi-year experience in other relevant technologies: Python, Linux, Google Cloud Platform (BigQuery, Cloud Run) Managing many items in parallel efficiently - Advanced communication skills in English (written and oral) Experience working in a global team Experience Required: 3 Years Experience Preferred: Experience with other tools relevant to software development and deployment, e.g. GitHub, Tekton Education Required: Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Min Exp - 5-8 years Location - PAN India Engagement & Project Overview An AI model trainer brings specialised knowledge in developing and fine-tuning machine learning models. They can ensure that your models are accurate, efficient, and tailored to your specific needs. Hiring an AI model trainer and tester can significantly enhance our data management and analytics capabilities Job Description Expertise in Model Development: Develop and fine-tune machine learning models. Ensure models are accurate, efficient, and tailored to our specific needs. Quality Assurance: Rigorously evaluate models to identify and rectify errors. Maintain the integrity of our data-driven decisions through high performance and reliability. Efficiency and Scalability: Streamline processes to reduce time-to-market. Scale AI initiatives and ML engineering skills effectively with dedicated model training and testing. Production ML Monitoring & MLOps: Implement and maintain model monitoring pipelines to detect data drift, concept drift, and model performance degradation. Set up alerting and logging systems using tools such as Evidently AI, WhyLabs/Prometheus + Grafana or cloud-native solutions (AWS SageMaker Monitor, GCP Vertex AI, Azure Monitor). Collaborate with teams to integrate monitoring into CI/CD pipelines, using platforms like Kubeflow, MLflow, Airflow, and Neptune.ai. Define and manage automated retraining triggers and model versioning strategies. Ensure observability and traceability across the ML lifecycle in production environments. Qualifications Qualifications: 5+ years of experience in the respective field. Proven experience in developing and fine-tuning machine learning models. Strong background in quality assurance and model testing. Ability to streamline processes and scale AI initiatives. Innovative mindset with a keen understanding of industry trends. License/Certification/Registration

Who We Are: Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects. Role Summary: As a Senior Data Scientist, you’ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap. What You'll Do: Model Development and Innovation : Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems. MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs. Technology and Tools : Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex. Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions. Who You Are: Education : Bachelors from Tier 1 premier institute in relevant field, or; Master’s or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience : 4–6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus. Technical Skills : Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar). Soft Skills : Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML. Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment. We’d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)