30 Data Scientists Jobs

As a leading AIML Company, KiE Square specializes in providing advanced Data Science and Data engineering solutions to clients, driving their Business Intelligence Transformation. We are currently seeking individuals to join our Core Team of Data Scientists, Data Engineers, and AIML Developers. We are looking for dedicated professionals who possess a sharp analytical mindset, have successfully delivered numerous high-value projects, are adept at handling large datasets, and have a proven track record of building Predictive Models with a strong sense of accountability. Key Role Areas: - Lead functional design and configuration for D365 F&O Finance implementations. - Gather and analyze business requirements to translate them into functional specifications. - Collaborate with technical teams to ensure seamless integration and customization. - Conduct workshops, training sessions, and User Acceptance Testing (UAT) with stakeholders. - Provide support for future cloud migration planning and readiness. Key Qualifications: - 5-8 years of experience in D365 F&O. - Minimum of 4-5 end-to-end implementations in the Finance domain. - Proficiency in API integrations and mobile app workflows. - Experience in UAT Execution management and familiarity with RSAT. - Excellent communication, documentation, and stakeholder management skills. If you are a dynamic professional with a passion for Data Science, Data engineering, and AIML, we encourage you to apply and become a valuable member of our team at KiE Square.,

As a Data Engineer at GlobalLogic, you will be responsible for architecting, building, and maintaining complex ETL/ELT pipelines for batch and real-time data processing using various tools and programming languages. Your key duties will include optimizing existing data pipelines for performance, cost-effectiveness, and reliability, as well as implementing data quality checks, monitoring, and alerting mechanisms to ensure data integrity. Additionally, you will play a crucial role in ensuring data security, privacy, and compliance with relevant regulations such as GDPR and local data laws. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Excellent analytical, problem-solving, and critical thinking skills with meticulous attention to detail are essential. Strong communication (written and verbal) and interpersonal skills are also required, along with the ability to collaborate effectively with cross-functional teams. Experience with Agile/Scrum development methodologies is considered a plus. Your responsibilities will involve providing technical leadership and architecture by designing and implementing robust, scalable, and efficient data architectures that align with organizational strategy and future growth. You will define and enforce data engineering best practices, evaluate and recommend new technologies, and oversee the end-to-end data development lifecycle. As a leader, you will mentor and guide a team of data engineers, conduct code reviews, provide feedback, and promote a culture of engineering excellence. You will collaborate closely with data scientists, data analysts, software engineers, and business stakeholders to understand data requirements and translate them into technical solutions. Your role will also involve communicating complex technical concepts and data strategies effectively to both technical and non-technical audiences. At GlobalLogic, we offer a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust environment. By joining our team, you will have the chance to work on impactful projects, engage your curiosity and problem-solving skills, and contribute to shaping cutting-edge solutions that redefine industries. With a commitment to integrity and trust, GlobalLogic provides a safe, reliable, and ethical global environment where you can thrive both personally and professionally.,

Rockwell Automation is a global technology leader dedicated to assisting the world's manufacturers in enhancing productivity, sustainability, and agility. With over 28,000 employees striving to make a positive impact daily, we take pride in our exceptional team. Our customers, remarkable companies contributing to essential sectors such as healthcare, agriculture, and environmental conservation, inspire our team of energetic problem solvers to drive meaningful change worldwide. If you are a maker, forward thinker, or problem solver seeking a platform to showcase your skills, we invite you to consider joining us! As an AI Architect at Rockwell Automation based in Pune, Noida, or Bangalore, India, you will play a crucial role in designing, developing, and implementing enterprise-grade artificial intelligence solutions. Reporting to the Director of Enterprise Architecture, you will operate from our Pune office in a hybrid capacity. Collaborating with diverse teams including data scientists, engineers, and business leaders, you will ensure that AI systems are scalable, secure, and aligned with organizational objectives. **Your Responsibilities:** - **Architect and implement AI solutions**: Design and supervise end-to-end AI architectures that seamlessly integrate with existing IT and data infrastructure, focusing on scalability, performance, and maintainability. - **Lead cross-functional delivery teams**: Provide guidance to data scientists, engineers, and business stakeholders across the AI solution lifecycle, from ideation and prototyping to production deployment and monitoring. - **Evaluate and recommend technologies**: Assess AI/ML platforms, frameworks, and tools to ensure alignment with business requirements and technical feasibility. - **Establish best practices**: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - **Mentor and evangelize**: Offer technical leadership and mentorship to junior architects and data professionals, while advocating for AI adoption and architectural vision within the organization. **The Essentials You Will Have:** - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in designing and implementing AI architectures in production environments. - Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and cloud-based AI services. - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience leading complex AI projects with cross-functional teams and delivering solutions that drive business outcomes. - Familiarity with ethical AI practices and data protection regulations. **The Preferred You Might Also Have:** - Experience deploying AI solutions on cloud platforms in hybrid or multi-cloud environments. - Knowledge of MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. - Strong problem-solving abilities and the capacity to translate business requirements into scalable technical solutions. - Experience in mentoring and developing talent within AI or data science teams. **What We Offer:** Our benefits package includes comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, on-demand professional development courses, and other local benefits. At Rockwell Automation, we are committed to fostering a diverse, inclusive, and authentic workplace. If you are enthusiastic about this role but do not meet every qualification in the job description, we encourage you to apply as you might be the right fit for this position or other roles. Rockwell Automation's hybrid policy mandates employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation elsewhere.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

Genpact is a global professional services and solutions firm with a workforce of over 125,000 individuals spread across more than 30 countries. Our team is motivated by curiosity, agility, and a commitment to delivering enduring value to our clients. Our purpose, the relentless pursuit of a world that functions better for people, drives us to serve and transform leading enterprises worldwide, including Fortune Global 500 companies. Our expertise lies in deep business and industry knowledge, digital operations services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Senior Manager - Solutions Designer, specializing in Banking and Capital Markets. In this role, you will collaborate closely with clients to comprehend their requirements for AI solutions and craft scalable AI architectures using advanced machine learning and deep learning models. Your responsibilities will include developing comprehensive solution proposals, encompassing technical architectures and implementation strategies. You will work alongside data scientists and engineers to prototype, construct, and deploy AI models, ensuring their seamless integration with existing systems. Furthermore, you will provide continuous technical guidance, conduct performance evaluations, and remain abreast of emerging AI technologies. Your role will also involve designing AI solutions that encompass OCR, RPA, UX/UI, decisioning engines, data integration, and visualization. Additionally, you will support client governance processes, aid in requirements gathering, and contribute to business case development. You will also play a vital role in advocating for the capabilities and services offered by the AI/ML CoE. Your responsibilities will include collaborating with clients to comprehend their business objectives, challenges, and AI solution requirements. You will be tasked with designing and architecting scalable AI solutions that make use of cutting-edge machine learning algorithms, deep learning models, and other AI techniques. Moreover, you will be responsible for developing detailed solution proposals, including technical architectures, implementation plans, and project timelines. Working in close coordination with data scientists and machine learning engineers, you will prototype, construct, and deploy AI models and applications. You will lead the integration of AI solutions with existing systems, ensuring seamless interoperability and scalability. Additionally, you will provide technical guidance and support throughout the project lifecycle, conducting regular assessments and optimizations to enhance the performance and efficacy of deployed AI solutions. Staying updated on emerging AI technologies, trends, and best practices will be crucial to enhancing the company's capabilities and offerings. You will also design AI-based solutions that combine with other reusable capabilities and services such as OCR, RPA, UX/UI, decisioning and recommendation engines, data integration, and visualization. Supporting client internal governance processes, participating in architectural, security, risk, and other reviews, and assisting in requirements gathering, business case creation, and stakeholder engagement will be part of your responsibilities. Additionally, you will collaborate with the team to promote the capabilities and services of the AI/ML CoE. Qualifications we seek in you! Minimum Qualifications: - Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field. Advanced degrees or certifications in artificial intelligence or machine learning are advantageous. - Demonstrated experience in designing and delivering AI solutions, preferably within a consulting or professional services environment. - Strong expertise in AI technologies, including machine learning frameworks like TensorFlow, PyTorch, natural language processing (NLP), computer vision, and reinforcement learning. Preferred Qualifications/Skills: - Comprehensive understanding of software engineering principles, cloud computing platforms like AWS, Azure, Google Cloud, and DevOps practices. - Outstanding analytical and problem-solving abilities, with the capacity to translate complex business requirements into practical AI solutions. - Effective communication and presentation skills, with the capability to explain technical concepts to non-technical audiences. - Proven ability to work efficiently in cross-functional teams and collaborate with diverse stakeholders. Job Details: - Job Title: Senior Manager - Primary Location: India-Noida - Schedule: Full-time - Education Level: Master's or Equivalent - Job Posting Date: October 4, 2024, 2:47:49 AM - Unposting Date: November 3, 2024, 12:29:00 PM - Master Skills List: Digital - Job Category: Full Time,

En tant que Data Product Owner Senior, vous serez responsable de la prparation, de la coordination et du suivi de la ralisation de projets axs sur la data et l'intelligence artificielle. Votre rle consistera assurer la conception et la livraison de solutions innovantes et axes sur les donnes, en collaboration avec les quipes techniques, les quipes mtier et les clients. Vos principales responsabilits incluront le cadrage des besoins en matire de data et IA, la dfinition des spcifications fonctionnelles, le suivi de la conception et du dveloppement, la gestion de projet agile et l'assurance de la qualit et des performances des solutions livres. Vous serez galement le point de contact privilgi des clients pour leurs projets data/IA, garantissant un alignement stratgique entre leurs objectifs et les solutions proposes. Le profil idal pour ce poste comprend un diplme en ingnierie, informatique ou dans un domaine li la data/IA, avec au moins 5 ans d'exprience dans la gestion de projets data ou IA, de prfrence dans un environnement Agile. Vous devriez avoir une expertise en data et IA, une bonne comprhension des outils et concepts associs, ainsi que des comptences en gestion produit et en communication. La matrise de l'anglais professionnel est galement requise pour interagir avec des clients et des quipes internationaux. En rejoignant EY FABERNOVEL, vous aurez l'opportunit de travailler sur des projets d'envergure, de bnficier d'un accompagnement dans votre carrire, d'avantages attrayants tels qu'un accs des offres privilgies, une prise en charge des repas, des possibilits de tltravail et de remboursement des transports, ainsi qu'un environnement de travail stimulant et propice l'apprentissage continu.,

The Lead Product Manager - Conversational AI at IDFC First Bank plays a crucial role in developing and expanding AI-powered solutions to elevate customer experience, streamline processes, and drive decision-making efficiency within the realm of banking products. Working closely with a diverse team including data scientists, AI engineers, digital banking specialists, and compliance professionals, you will lead the charge in crafting AI-driven tools such as personalized services, conversational banking interfaces, and risk assessment mechanisms. Your responsibilities will include shaping the roadmap for Conversational AI in the digital banking sphere, with a focus on enhancing customer interaction, fortifying fraud prevention measures, and optimizing operational workflows. By collaborating with AI/ML experts, data analysts, and business units, you will oversee the implementation of AI-based innovations like chatbots, predictive analytics, and intelligent financial advisors. Furthermore, you will spearhead the development of AI-infused credit risk evaluation models to bolster loan underwriting processes, while also liaising with regulatory and compliance teams to ensure that these models adhere to banking standards and ethical AI guidelines. Defining key performance indicators (KPIs) for assessing AI adoption rates, accuracy levels, and customer-centric impacts will be a crucial aspect of your role, alongside managing multifaceted teams to seamlessly transition AI features from testing phases to full-fledged production environments. Staying abreast of the latest trends in AI within the fintech and banking sectors, you will leverage industry best practices to drive scalable AI deployment strategies that align with organizational goals and industry benchmarks. Education Qualifications: - Bachelor's degree in any relevant field - Post-graduation in any discipline Experience: - 7 to 10 years of relevant experience in the field,

As the COE Solution Development Lead at Teradata, you will be a key thought leader responsible for overseeing the detailed design, development, and maintenance of complex data and analytic solutions. Your role will involve utilizing strong technical and project management skills, as well as team building and mentoring capabilities. You will need to have a deep understanding of Teradata's Solutions Strategy, Technology, Data Architecture, and the partner engagement model. Reporting directly to Teradata's Head of Solution COE, you will play a crucial role in leading a team that develops scalable, efficient, and innovative data and analytics solutions to address complex business problems. Your key responsibilities will include leading the end-to-end process of solution development, designing comprehensive solution architectures, ensuring the flexibility for integration of various data sources and platforms, implementing best practices in data analytics solutions, collaborating with senior leadership, and mentoring a team of professionals to foster a culture of innovation and continuous learning. Additionally, you will work towards delivering solutions on time and within budget, facilitating knowledge sharing across teams, and ensuring that data solutions are scalable, secure, and aligned with the organization's overall technological roadmap. You will collaborate with the COE Solutions lead to transform conceptual solutions into detailed designs and lead a team of Data scientists, Solution engineers, Data engineers, and Software engineers. Furthermore, you will work closely with product development, legal, IT, and business teams to ensure seamless integration of data analytics solutions and the protection of related IP. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, with a preference for an MS or MBA. You should also possess over 15 years of experience in IT, with at least 10 years in data & analytics solution development and 4+ years in a leadership or senior management position. Along with a proven track record in developing data-driven solutions, you should have experience working with cross-functional teams and a strong understanding of emerging trends in data analytics technologies. We believe you will thrive at Teradata due to our people-first culture, flexible work model, focus on well-being, and commitment to Diversity, Equity, and Inclusion. If you are a collaborative, analytical, and innovative professional with excellent communication skills and a passion for data analytics, we invite you to join us in solving business challenges and driving enterprise analytics forward.,

Job Summary: We are looking for a seasoned Tech Anchor with deep expertise in Big Data technologies and Python to lead technical design, development, and mentoring across data-driven projects. This role demands a strong grasp of scalable data architecture, problem-solving capabilities, and hands-on experience with distributed systems and modern data frameworks. Key Responsibilities: Provide technical leadership across Big Data and Python-based projects Architect, design, and implement scalable data pipelines and processing systems Guide teams on best practices in data modeling, ETL/ELT development, and performance optimization Collaborate with data scientists, analysts, and stakeholders to ensure effective data solutions Conduct code reviews and mentor junior engineers to improve code quality and skills Evaluate and implement new tools and frameworks to enhance data capabilities Troubleshoot complex data-related issues and support production deployments Ensure compliance with data security and governance standards

Job Summary: We are looking for a seasoned Tech Anchor with deep expertise in Big Data technologies and Python to lead technical design, development, and mentoring across data-driven projects. This role demands a strong grasp of scalable data architecture, problem-solving capabilities, and hands-on experience with distributed systems and modern data frameworks. Key Responsibilities: Provide technical leadership across Big Data and Python-based projects Architect, design, and implement scalable data pipelines and processing systems Guide teams on best practices in data modeling, ETL/ELT development, and performance optimization Collaborate with data scientists, analysts, and stakeholders to ensure effective data solutions Conduct code reviews and mentor junior engineers to improve code quality and skills Evaluate and implement new tools and frameworks to enhance data capabilities Troubleshoot complex data-related issues and support production deployments Ensure compliance with data security and governance standards

Job Summary: We are looking for a seasoned Tech Anchor with deep expertise in Big Data technologies and Python to lead technical design, development, and mentoring across data-driven projects. This role demands a strong grasp of scalable data architecture, problem-solving capabilities, and hands-on experience with distributed systems and modern data frameworks. Key Responsibilities: Provide technical leadership across Big Data and Python-based projects Architect, design, and implement scalable data pipelines and processing systems Guide teams on best practices in data modeling, ETL/ELT development, and performance optimization Collaborate with data scientists, analysts, and stakeholders to ensure effective data solutions Conduct code reviews and mentor junior engineers to improve code quality and skills Evaluate and implement new tools and frameworks to enhance data capabilities Troubleshoot complex data-related issues and support production deployments Ensure compliance with data security and governance standards

You will be part of our esteemed MNC client as a Data Annotation Specialist based in Delhi NCR. As a Data Annotation Specialist, your main responsibility will be to accurately label and annotate data to train machine learning models. You will collaborate closely with data scientists and engineers to ensure the high quality and consistency of data annotation. We are looking for individuals with a strong attention to detail and analytical skills. Experience in data annotation or a related field would be a plus. The ability to work independently, meet deadlines, and excellent communication skills are essential for this role. Joining us means working on cutting-edge projects with a leading MNC. We offer a competitive salary and benefits package along with opportunities for growth and professional development. If you are passionate about data and ready for an immediate start, this role could be the perfect fit for you.,

The role involves designing and developing scalable cloud-based Generative AI solutions using state-of-the-art models. You will collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Additionally, you will be responsible for creating architectural blueprints and technical documentation. In terms of cloud infrastructure, you will architect secure and scalable environments to support the deployment and operation of AI models, ensuring high availability, data integrity, and compliance with industry standards. Optimization of cloud resources for performance, cost-efficiency, and scalability will also be part of your responsibilities. To enhance security measures, you will implement robust security protocols to safeguard data and AI models from unauthorized access and cyber threats. Compliance with industry standards, regulations, and data privacy laws will be crucial, along with conducting regular security assessments and audits to identify and mitigate potential risks. Collaboration with data scientists, machine learning engineers, and other stakeholders is essential to integrate AI models into production environments. Moreover, you will provide technical leadership and mentorship to junior team members and stay updated on the latest advancements in AI and cloud technologies. Performance monitoring and optimization play a significant role in this position, involving the continuous monitoring of AI models and cloud infrastructure performance. You will identify and address performance bottlenecks and scalability issues while implementing improvement processes to enhance system performance and reliability. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience as an AI Architect, Cloud Architect, or similar role. - Strong expertise in designing and deploying cloud-based AI solutions on platforms like AWS, Azure, or Google Cloud. - In-depth knowledge of generative AI models, machine learning frameworks, and AI deployment best practices. - Experience in cloud infrastructure, including networking, storage, and security. - Familiarity with industry standards and regulations related to data privacy and security. - Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. - Strong communication and collaboration skills. Preferred Skills: - Familiarity with big data technologies such as Hadoop and Spark. - Experience in natural language processing (NLP). - Knowledge of big data technologies and data engineering. - Experience with machine learning frameworks like TensorFlow, PyTorch, or similar. - Certification in cloud architecture or AI/ML is a plus.,

At PwC, our team in managed services specializes in providing outsourced solutions and supporting clients across various functions. We help organizations enhance their operations, reduce costs, and boost efficiency by managing key processes and functions on their behalf. Our expertise lies in project management, technology, and process optimization, allowing us to deliver high-quality services to our clients. In managed service management and strategy at PwC, the focus is on transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your role will involve continuous improvement and optimization of managed services processes, tools, and services. As a Managed Services - Data Engineer Senior Associate at PwC, you will be part of a team of problem solvers dedicated to addressing complex business issues from strategy to execution using Data, Analytics & Insights Skills. Your responsibilities will include using feedback and reflection to enhance self-awareness and personal strengths, acting as a subject matter expert in your chosen domain, mentoring junior resources, and conducting knowledge sharing sessions. You will be required to demonstrate critical thinking, ensure quality of deliverables, adhere to SLAs, and participate in incident, change, and problem management. Additionally, you will be expected to review your work and that of others for quality, accuracy, and relevance, as well as demonstrate leadership capabilities by working directly with clients and leading engagements. The primary skills required for this role include ETL/ELT, SQL, SSIS, SSMS, Informatica, and Python, with secondary skills in Azure/AWS/GCP, Power BI, Advanced Excel, and Excel Macro. As a Data Ingestion Senior Associate, you should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines, designing and implementing ETL processes, monitoring and troubleshooting data pipelines, implementing data security measures, and creating visually impactful dashboards for data reporting. You should also have expertise in writing and analyzing complex SQL queries, be proficient in Excel, and possess strong communication, problem-solving, quantitative, and analytical abilities. In our Managed Services platform, we focus on leveraging technology and human expertise to deliver simple yet powerful solutions to our clients. Our team of skilled professionals, combined with advanced technology and processes, enables us to provide effective outcomes and add greater value to our clients" enterprises. We aim to empower our clients to focus on their business priorities by providing flexible access to world-class business and technology capabilities that align with today's dynamic business environment. If you are a candidate who thrives in a high-paced work environment, capable of handling critical Application Evolution Service offerings, engagement support, and strategic advisory work, then we are looking for you to join our team in the Data, Analytics & Insights Managed Service at PwC. Your role will involve working on a mix of help desk support, enhancement and optimization projects, as well as strategic roadmap initiatives, while also contributing to customer engagements from both a technical and relationship perspective.,

We are seeking an experienced Project Manager specializing in Data & Analytics to oversee and supervise data-driven projects spanning various business domains. The successful candidate will possess significant expertise in managing projects related to data engineering, business intelligence, and analytics, demonstrating a track record of collaborating effectively with technical and business stakeholders to deliver impactful solutions within specified timeframes and budgets. Key Responsibilities: - Lead the end-to-end project management of data and analytics initiatives. - Define project scope, objectives, deliverables, schedules, and resource allocations. - Collaborate closely with data engineers, data scientists, analysts, and business stakeholders. - Proactively manage project risks, issues, and dependencies. - Ensure quality assurance, timely reporting, and documentation throughout the project life cycle. - Provide regular updates on project status, milestones, and issues to leadership and stakeholders. - Facilitate Agile/Scrum ceremonies and ensure the timely delivery of sprint objectives. - Coordinate activities across cross-functional teams to align with business goals. - Monitor key performance indicators (KPIs), return on investment (ROI), and the business impact of analytics solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Possession of PMP/PRINCE2 certification is advantageous. - Minimum of 6 years of overall experience, with at least 3 years in the management of data analytics or data engineering projects. - Solid understanding of AI, data warehousing, ETL pipelines, data visualization, and analytics platforms. - Hands-on experience with tools and technologies such as SQL, Power BI/Tableau, Python/R (preferable), and cloud data platforms (AWS/GCP/Azure). - Proficient in project management practices encompassing planning, budgeting, and stakeholder engagement.,

As an AI/ML Specialist, you will be responsible for building intelligent systems utilizing OT sensor data and Azure ML tools. Your primary focus will be collaborating with data scientists, engineers, and operations teams to develop scalable AI solutions addressing critical manufacturing issues such as predictive maintenance, process optimization, and anomaly detection. This role involves bridging the edge and cloud environments by deploying AI solutions to run effectively on either cloud platforms or industrial edge devices. Your key functions will include designing and developing ML models using time-series sensor data from OT systems, working closely with engineering and data science teams to translate manufacturing challenges into AI use cases, implementing MLOps pipelines on Azure ML, and integrating with Databricks/Delta Lake. Additionally, you will be responsible for deploying and monitoring models at the edge using Azure IoT Edge, conducting model validation, retraining, and performance monitoring, as well as collaborating with plant operations to contextualize insights and integrate them into workflows. To qualify for this role, you should have a minimum of 5 years of experience in machine learning and AI. Hands-on experience with Azure ML, ML flow, Databricks, and PyTorch/TensorFlow is essential. You should also possess a proven ability to work with OT sensor data such as temperature, vibration, flow, etc. A strong background in time-series modeling, edge inferencing, and MLOps is required, along with familiarity with manufacturing KPIs and predictive modeling use cases.,

At PwC, our team in managed services focuses on providing a variety of outsourced solutions and supporting clients across multiple functions. We help organizations streamline their operations, reduce costs, and enhance efficiency by managing key processes and functions on their behalf. Our team is skilled in project management, technology, and process optimization, ensuring the delivery of high-quality services to our clients. Those in managed service management and strategy at PwC are responsible for transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your role will involve continuous improvement and optimization of managed services processes, tools, and services. As a member of our team, you will build meaningful client relationships and learn how to manage and inspire others. You will navigate complex situations, develop your personal brand, deepen your technical expertise, and leverage your strengths. Anticipating the needs of your teams and clients, you will deliver quality results. Embracing ambiguity, you will be comfortable when the path forward is unclear, asking questions and using such moments as opportunities for growth. Required skills, knowledge, and experiences for this role include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems - Applying critical thinking to break down complex concepts - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy - Developing a deeper understanding of the business context and its changing dynamics - Using reflection to enhance self-awareness, strengths, and development areas - Interpreting data to derive insights and recommendations - Upholding and reinforcing professional and technical standards, along with the Firm's code of conduct and independence requirements As a Senior Associate, you will work collaboratively with a team of problem solvers, addressing complex business issues from strategy to execution through Data, Analytics & Insights Skills. Your responsibilities at this level include: - Using feedback and reflection to enhance self-awareness, personal strengths, and address development areas - Demonstrating critical thinking and the ability to structure unstructured problems - Reviewing deliverables for quality, accuracy, and relevance - Adhering to SLAs, incident management, change management, and problem management - Leveraging tools effectively in different situations and explaining the rationale behind the choices - Seeking opportunities for exposure to diverse situations, environments, and perspectives - Communicating straightforwardly and structurally to influence and connect with others - Demonstrating leadership by engaging directly with clients and leading engagements - Collaborating in a team environment with client interactions, workstream management, and cross-team cooperation - Contributing to cross-competency work and Center of Excellence activities - Managing escalations and risks effectively Position Requirements: - Primary Skill: Tableau, Visualization, Excel - Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advanced Excel, Excel Macro BI Engineer Role: - Minimum 5 years hands-on experience in building advanced Data Analytics - Minimum 5 years hands-on experience in delivering Managed Data and Analytics programs - Extensive experience in developing scalable, repeatable, and secure data structures and pipelines - Proficiency in industry tools like Python, SQL, Spark for Data analytics - Experience in building Data Governance solutions using leading tools - Knowledge of Data consumption patterns and BI tools like Tableau, Qlik Sense, Power BI - Strong communication, problem-solving, quantitative, and analytical abilities Certifications in Tableau and other BI tools are advantageous, along with certifications in any cloud platform. In our Managed Services - Data, Analytics & Insights team at PwC, we focus on collaborating with clients to leverage technology and human expertise, delivering simple yet powerful solutions. Our goal is to enable clients to focus on their core business while trusting us as their IT partner. We are driven by the passion to enhance our clients" capabilities every day. Within our Managed Services platform, we offer integrated services grounded in industry experience and powered by top talent. Our team of global professionals, combined with cutting-edge technology, ensures effective outcomes that add value to our clients" enterprises. Through a consultative approach, we enable transformational journeys that drive sustained client outcomes, allowing clients to focus on accelerating their priorities and optimizing their operations. As a member of our Data, Analytics & Insights Managed Service team, you will contribute to critical Application Evolution Service offerings, help desk support, enhancement and optimization projects, and strategic roadmap development. Your role will involve technical expertise and relationship management to support customer engagements effectively.,

As an AI Hub Leader at Linde, you will be responsible for supporting the continuous development, scaling, and operations maintenance of Linde's global AI and digital products. Your role will be pivotal in advancing Linde's AI strategy, driving growth, innovation, and productivity through AI technologies. Additionally, you will serve as a core node for collaboration, talent development, and delivery excellence across the global ecosystem. You will lead the Bengaluru AI Hub, overseeing a diverse team of AI and digital talents, including data scientists, software engineers, commercial leads, and adoption leads with a matrix reporting line. Your responsibilities will include building and retaining top talent, creating a dynamic and collaborative work environment, facilitating product roadmaps in alignment with the Global AI & Digital Portfolio, and collaborating with global and regional functions to drive measurable impact. Moreover, you will ensure alignment with Linde's global AI strategy, foster a culture of innovation, agility, and continuous improvement within the hub, and drive transformation initiatives that improve operations, customer experience, and business outcomes. Engaging with external partners, universities, and vendors to support innovation and growth will also be part of your role. To excel in this role, you should have proven leadership experience with the ability to build and retain high-performing teams. A collaborative mindset, international experience, and cross-cultural fluency are essential. You should possess a strong interest in driving transformation through AI and digital innovation, a good understanding of AI and digital technologies and their business applications, familiarity with software product development and modern digital delivery practices, and experience working in a global matrix organization. Excellent communication and stakeholder management skills, as well as knowledge of AI and digital applications in industrial or B2B environments, are preferred. Linde is a leading global industrial gases and engineering company operating in more than 100 countries worldwide. By providing high-quality solutions, technologies, and services, Linde aims to make the world more productive every day, helping customers succeed while sustaining and protecting the planet. If you are seeking a career that offers limitless ways to achieve your potential and make a positive impact in the world, Linde is the place for you. Be Linde. Be Limitless. Apply now and let's talk about how you can contribute to our mission of innovation and sustainability.,

You will be working as a Data Annotation Specialist for our esteemed MNC client based in the Delhi NCR region. In this full-time role, you will be responsible for accurately labeling and annotating data to facilitate the training of machine learning models. Your collaboration with data scientists and engineers will be crucial in ensuring the high quality of the data. It will be your responsibility to maintain consistency and quality in data annotation processes. To excel in this role, you must possess strong attention to detail and analytical skills. Previous experience in data annotation or a related field will be advantageous. You should be able to work independently, meet deadlines, and communicate effectively with team members. By joining our team, you will have the opportunity to work on cutting-edge projects with a leading MNC. We offer a competitive salary and benefits package, along with ample opportunities for professional growth and development. Join us now and be a part of our exciting journey!,

We are seeking a skilled Talend ETL Developer with 4 to 7 years of experience in designing and developing robust ETL processes using Talend. The role requires strong capabilities in data extraction, transformation, and loading, along with expertise in performance optimization, error handling, and collaboration with data teams. Key Responsibilities: ETL Process Design: Design and develop scalable ETL processes using Talend for end-to-end data integration and transformation. Data Extraction: Extract data from diverse sources including databases, APIs, and flat files. Data Transformation: Transform and cleanse data to align with business requirements and ensure high data quality. Data Loading: Load transformed data into data warehouses, data lakes, or other target systems. Job Scheduling: Schedule and automate ETL jobs using Talend's scheduling tools or third-party schedulers. Performance Optimization: Tune and optimize ETL workflows for efficiency, speed, and resource usage. Error Handling: Implement robust error handling, logging, and alerting mechanisms to ensure reliability. Data Profiling: Perform data profiling to detect anomalies, inconsistencies, and data quality issues. Documentation: Create and maintain comprehensive ETL documentation, including data flow diagrams and technical specifications. Collaboration with Data Teams: Work closely with data analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions. Required Skills & Qualifications: 4 to 7 years of relevant experience in ETL development using Talend. Strong understanding of ETL architecture, data integration principles, and data transformation techniques. Hands-on experience in data extraction from multiple source types. Proficient in SQL and working with relational and non-relational databases. Familiarity with data warehousing and data lake architectures. Excellent problem-solving, troubleshooting, and communication skills.

We are seeking a skilled Talend ETL Developer with 4 to 7 years of experience in designing and developing robust ETL processes using Talend. The role requires strong capabilities in data extraction, transformation, and loading, along with expertise in performance optimization, error handling, and collaboration with data teams. Key Responsibilities: ETL Process Design: Design and develop scalable ETL processes using Talend for end-to-end data integration and transformation. Data Extraction: Extract data from diverse sources including databases, APIs, and flat files. Data Transformation: Transform and cleanse data to align with business requirements and ensure high data quality. Data Loading: Load transformed data into data warehouses, data lakes, or other target systems. Job Scheduling: Schedule and automate ETL jobs using Talend's scheduling tools or third-party schedulers. Performance Optimization: Tune and optimize ETL workflows for efficiency, speed, and resource usage. Error Handling: Implement robust error handling, logging, and alerting mechanisms to ensure reliability. Data Profiling: Perform data profiling to detect anomalies, inconsistencies, and data quality issues. Documentation: Create and maintain comprehensive ETL documentation, including data flow diagrams and technical specifications. Collaboration with Data Teams: Work closely with data analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions. Required Skills & Qualifications: 4 to 7 years of relevant experience in ETL development using Talend. Strong understanding of ETL architecture, data integration principles, and data transformation techniques. Hands-on experience in data extraction from multiple source types. Proficient in SQL and working with relational and non-relational databases. Familiarity with data warehousing and data lake architectures. Excellent problem-solving, troubleshooting, and communication skills.

We are seeking a skilled Talend ETL Developer with 4 to 7 years of experience in designing and developing robust ETL processes using Talend. The role requires strong capabilities in data extraction, transformation, and loading, along with expertise in performance optimization, error handling, and collaboration with data teams. Key Responsibilities: ETL Process Design: Design and develop scalable ETL processes using Talend for end-to-end data integration and transformation. Data Extraction: Extract data from diverse sources including databases, APIs, and flat files. Data Transformation: Transform and cleanse data to align with business requirements and ensure high data quality. Data Loading: Load transformed data into data warehouses, data lakes, or other target systems. Job Scheduling: Schedule and automate ETL jobs using Talend's scheduling tools or third-party schedulers. Performance Optimization: Tune and optimize ETL workflows for efficiency, speed, and resource usage. Error Handling: Implement robust error handling, logging, and alerting mechanisms to ensure reliability. Data Profiling: Perform data profiling to detect anomalies, inconsistencies, and data quality issues. Documentation: Create and maintain comprehensive ETL documentation, including data flow diagrams and technical specifications. Collaboration with Data Teams: Work closely with data analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions. Required Skills & Qualifications: 4 to 7 years of relevant experience in ETL development using Talend. Strong understanding of ETL architecture, data integration principles, and data transformation techniques. Hands-on experience in data extraction from multiple source types. Proficient in SQL and working with relational and non-relational databases. Familiarity with data warehousing and data lake architectures. Excellent problem-solving, troubleshooting, and communication skills.

We are seeking a skilled Talend ETL Developer with 4 to 7 years of experience in designing and developing robust ETL processes using Talend. The role requires strong capabilities in data extraction, transformation, and loading, along with expertise in performance optimization, error handling, and collaboration with data teams. Key Responsibilities: ETL Process Design: Design and develop scalable ETL processes using Talend for end-to-end data integration and transformation. Data Extraction: Extract data from diverse sources including databases, APIs, and flat files. Data Transformation: Transform and cleanse data to align with business requirements and ensure high data quality. Data Loading: Load transformed data into data warehouses, data lakes, or other target systems. Job Scheduling: Schedule and automate ETL jobs using Talend's scheduling tools or third-party schedulers. Performance Optimization: Tune and optimize ETL workflows for efficiency, speed, and resource usage. Error Handling: Implement robust error handling, logging, and alerting mechanisms to ensure reliability. Data Profiling: Perform data profiling to detect anomalies, inconsistencies, and data quality issues. Documentation: Create and maintain comprehensive ETL documentation, including data flow diagrams and technical specifications. Collaboration with Data Teams: Work closely with data analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions. Required Skills & Qualifications: 4 to 7 years of relevant experience in ETL development using Talend. Strong understanding of ETL architecture, data integration principles, and data transformation techniques. Hands-on experience in data extraction from multiple source types. Proficient in SQL and working with relational and non-relational databases. Familiarity with data warehousing and data lake architectures. Excellent problem-solving, troubleshooting, and communication skills.

Prompt Engineer & Generative AI Specialist (2-5 Years Experience - can be less experience too) Job Summary: We are seeking a skilled Prompt Engineer & Generative AI Specialist to optimize interactions with advanced language models and generative systems. You will work closely with AI product managers, data scientists, and software developers to craft and refine prompts, ensuring that model outputs align with business requirements and user expectations. Key Responsibilities: Prompt Development & Optimization: Design, test, and iterate on prompts for generative AI models to achieve accurate, relevant, and contextually appropriate outputs. Continuously refine and improve prompt strategies based on performance metrics and user feedback. Cross-Functional Collaboration: Partner with AI product managers, data scientists, and software engineers to integrate prompt engineering best practices into the product lifecycle. Translate business requirements into effective prompt frameworks and fine-tuning strategies. Research & Innovation: Stay up-to-date with the latest advancements in natural language processing (NLP) and generative AI methodologies. Experiment with novel prompt engineering techniques and contribute to internal knowledge bases and best practice guidelines. Quality & Ethical Oversight: Ensure ethical and responsible usage of generative AI by minimizing biases and adhering to established guidelines. Monitor and evaluate the performance of deployed prompts, making adjustments as needed to maintain high standards of quality and compliance. Documentation & Reporting: Document prompt engineering processes, experiments, and results to support knowledge sharing and continuous improvement. Provide regular updates and technical reports to stakeholders on performance and enhancement initiatives. Qualifications: Bachelors or Masters degree in Computer Science, Computational Linguistics, Data Science, or a related field. 25 years of experience in roles involving natural language processing, prompt engineering, or generative AI applications. Strong familiarity with large language models (e.g., GPT, ChatGPT) and generative AI frameworks. Proficiency in Python or other scripting languages for interacting with AI models. Proven experience in designing, testing, and optimizing prompts for various applications. Excellent analytical, problem-solving, and communication skills, with the ability to work effectively in cross-functional teams. A strong commitment to ethical AI practices and a deep understanding of AI fairness and bias mitigation strategies.

Key Responsibilities: Design, develop, and optimize batch and streaming data pipelines primarily using PySpark (Python with Apache Spark) . Write efficient, reusable, and testable code for large-scale data processing. Work with diverse and large-scale datasets from various sources, including but not limited to Kafka, Hive, S3, and Parquet files. Collaborate closely with data scientists, data analysts, and DevOps teams to build robust and scalable data pipelines. Tune Spark jobs for optimal performance and resource efficiency. Implement comprehensive data quality checks, logging, and error-handling mechanisms within data pipelines. Contribute to the overall architecture and strategy for big data solutions