2725 Data Science Jobs - Page 35

Transport Commercial / Data Analyst Role requires multitasking capabilities for effectively handling multiple opportunities at the same time, ensuring each preparation receives the necessary attention and meets the deadlines. We are seeking motivated individuals to join the Transport Commercial team and help us to drive growth within the market. This position will involve a variety of tasks, working with the team to support: measuring and reporting on our performance, data analysis and supporting our market knowledge through CRM. Key responsibilities include: Gathering and analyzing data from various sources such as CRM and additional databases to generate comprehensive reports and dashboards for the Transport Commercial team and the Transport Leadership Team Working with our team and Opportunity Owners to support and develop the use of tools and processes to support effective tendering, including the use of AI. Conducting market intelligence tasks to support business decisions by performing online market research and developing tools to optimize this research turning data insights into effective business intelligence. Implementing automation processes to improve data quality and visualization through charts, views, and interactive dashboards, to support strategic planning and decision-making Supporting live tenders as necessary, in particular with the preparation of governance and progress report documentation. Establish and nurture relationships with internal stakeholders. Qualification This role is ideal for an experienced Graduate passionate about managing business operations and driving growth within the Transport Commercial sector. If you have a proactive mindset, strong analytical skills, and a keen interest in this field, we encourage you to apply. Bachelor's degree in Business Administration, Economics, Engineering, Data Science, or a related field. Demonstrated skills in Business development softwares such as MS Office, PowerBI and CRM systems. Experience on scripting tools (e.g., SQL, Python) would be advantageous. Strong writing and presentation skills. Capabilities to multitask, managing multiple opportunities simultaneously while meeting deadlines. Excellent networking skills and a global mindset to establish and nurture relationships. Proactive approach and excellent collaboration skills. Experience in data analysis, market intelligence, and business decision support. Familiarity with automation processes and data visualization techniques. Previous experience in a similar role is preferred. Interest in business management and work-winning strategies. Demonstrate a global mindset and strong networking skills Additional Information What we can offer you Investment in your development Leaders you can count on, guided by our Leadership Principles Be valued for the unique person you are Never be short of inspiration from colleagues, clients, and projects The long-term thinking of a foundation-owned company Work at the heart of sustainable change Ramboll is a global architecture, engineering, and consultancy company. We believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. At Ramboll, our core strength is our people, and our history is rooted in a clear vision of how a responsible company should act. Being open and curious is a cornerstone of our culture. We embrace an inclusive mindset that looks for fresh, diverse, and innovative perspectives. We respect, embrace, and invite diversity in all forms to actively cultivate an environment where everyone can flourish and realise their full potential. Ready to join us? Please submit your application. Be sure to include all relevant documents including your CV, cover letter, etc. Thank you for taking the time to apply! We look forward to receiving your application. About Ramboll Founded in Denmark, Ramboll is a foundation-owned people company. We have more than 18,000 experts working across our global operations in 35 countries. Our experts are leaders in their fields, developing and delivering innovative solutions in diverse markets including Buildings, Transport, Planning & Urban Design, Water, Environment & Health, Energy, and Management Consulting. We invite you to contribute to a more sustainable future working in an open, collaborative, and empowering company. Combining local experience with global knowledge, we together shape the societies of tomorrow. Equality, diversity, and inclusion is at the heart of what we do We believe in the strength of diversity and know that unique experiences and perspectives are vital for creating truly sustainable societies. Therefore, we are committed to providing an inclusive and supportive work environment where everyone can flourish and reach their potential. We welcome applications from candidates of all backgrounds and encourage you to contact our recruitment team to discuss any accommodations you need during the application process.

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Experience: Minimum 10+ years in AI/ML or data science, with at least 5 years in a leadership role. Proven experience in banking or financial services is highly preferred. Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark). Experience in Azure ML tools: Databricks etc. Experience with end-to-end model lifecycle management and MLOps. Minimum Qualification: Masters Degree/PhD in Computer Science, Econometrics, Statistics, or related fields.

Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team.

This position is for a Senior Data Engineer with solid development experience who will focus on creating new capabilities for AI as a Service while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start. You must be dedicated to filling product backlog and delivering production-ready code. You must be willing to go beyond the routine and prepared to do a little bit of everything. Essential Functions Collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions. Drive technical standard and best practices, and continuously improve AI Platform engineering scalability. Architecture and design of AI Platform services including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems and etc, in Golang, Java, and Python. Coordinate the implementation among development teams to ensure system performance, security, scalability and availability. Coaching and mentoring junior team members and evolving team talent pipeline. Basic Qualifications 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications 3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

We are seeking a Content Specialist Lead to head the content development for Data Science and Coding curriculum targeted at the K-10 sector. The ideal candidate should have strong technical knowledge, experience in instructional content development, and the ability to manage a team of content developers effectively. This is a team lead role responsible for driving high-quality content creation aligned with learning outcomes and curriculum goals. Key Responsibilities: Design and develop we'll-researched and pedagogically sound curriculum content for Data Science and Coding tailored for the K-10 segment. Lead the creation of engaging and age-appropriate content that utilizes gamification , storytelling, and real-world applications to enhance learning. Collaborate closely with Content Developers (CDs) , Curriculum Managers, and other stakeholders to ensure curriculum alignment and content quality. Develop content for Instructor-Led Training (ILT) videos, FAQs , scripts , handouts , and project-based learning activities . Create Learning Curve Analyzers such as assessments, quizzes, and practice tasks to evaluate learning outcomes and reinforce concepts. Ensure content is aligned with industry standards, education board requirements, and organizational goals. Curate and iterate on content based on internal reviews and learner feedback. Manage a team of content developer, Graphic Illustrator, Motion Graphic Designer, Facilitator and Instructional Designer assign tasks, review work, monitor timelines, and maintain a smooth workflow. Provide technical and creative support to the team and ensure adherence to content guidelines and quality benchmarks. Stay up to date with emerging trends and tools in Data Science and Coding Desired Qualifications and Skills: bachelors degree in Computer Applications/Engineering (BCA/BE). A masters degree (MCA) would be an added advantage. 3+ years of experience in technical content development ( Data Science / Coding) in the e-learning industry. Strong foundational knowledge of Data Science , Python programming , Excel , and basic coding principles . Excellent command of English - written and verbal. Demonstrated experience in creating structured and engaging content portfolios. Proficient in Google Workspace tools (Docs, Sheets), Microsoft Office , and content authoring tools like Articulate (preferred). Strong interpersonal and communication skills to work with cross-functional teams. Proven ability to lead a team, plan tasks, manage deadlines, and deliver high-quality content on time.

2-5 Years of hands on experience of Full Stack Development Work with the product team on requirements analysis and make technical trade off decisions at application level (eg, component design). Define and develop solutions to technical problems within Agile framework. Use your expertise to input into reengineering and design. Act as a subject matter expert for focus areas across the technology space. Follow and improve the coding standards with the team, ensure the high code quality. Actively look for the latest tools and technologies within or outside dunnhumby. Actively learn and help implementing the new industry standards related to products, people, and processes. Identify the inefficiencies in the process and help the team to improve them to maximize the team s performance. Help identifying the dependencies, risks, and bottlenecks in the projects proactively. Work actively with the Engineering Manager/Team Lead to resolve them.

Data Scientist Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate: Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management

- Hands-on experience with Jupyter Notebooks, Google Colab, Git & GitHub .- Solid understanding of Data Visualization Tools and Dashboard Creation. - Prior teaching/training experience (online/offline) is a plus .- Excellent communication and presentati

As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software & Cloud Software. As a Software developer at ISDL: You will be focused on development of IBM Systems products interfacing with development & product management teams and end users, cutting across Geos. You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products. You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers You will be valued for your contributions in a growing organization with broader opportunities Required education Bachelor's Degree Required technical and professional expertise Required Professional and Technical Expertise : Strong expertise in Systems Software Programming Skills (C, C++, Java, Python, GoLang, ReactJS, Groovy) Strong knowledge of Operating Systems Concepts (Unix/Linux internals), data structures, algorithms Experience with Virtualization and Cloud Computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Dockers. Good communication skills to work effectively in a global team environment Masters/Bachelor's Degree in Computer Science Engineering or other relevant fields Preferred technical and professional experience Knowledge of OpenStack, Security, App Dev on Cloud Platform, DevOps Web UI FrameworksVaadin, React JS and UI styling libraries like Bootstrap/Material Knowledge of J2EE, JSP, RESTful web services and GraphQL API Practical working experience with Java, Javascript, Ansible, Databases, SQL, Node JS etc Good understanding of AI/ML concepts, Data Science, NLP, modern tools and techniques to derive meaningful insights. Familiar with server performance management, capacity planning and performance diagnostics. Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.

Kindly share your resume on sv17@svmanagement.com Responsibility: Work with different user groups/ departments Identify processes where Analytics driven decision making can create powerful impact Design original analysis that helps generate relevant insights Establishes credibility by thought partnering with business and service teams on analytics topics; takes positions and draws conclusions on a range of external and internal issues Communicates analytical insights through sophisticated synthesis and packaging of results (including PPT slides, dashboards, mailers and alerts) Collect, synthesize, analyze team learning & inputs into new best practices and methodologies Work with IT teams for implementation of solutions in a production environment Work on development of internal capability on the subject Keep abreast of most recent developments in the Analytics space and identify new tools and capabilities relevant to company needs. Aptitude to constantly learn and explore new analytical advancements Contributes to development of new topic- and sector-related analytics products (development in scope for separate proprietary data & tools team) Develops topic and content related to analytics work for trainings Profile: Experience in designing analytical solutions using machine learning algorithms Knowledge of advanced Excel for preliminary data analysis and good presentation skills Proficient Coding Knowledge in Python is essential. Developing visualizations in Tableau is desirable Additional coding knowledge in R & Visual Basic will be an advantage Proficient in web analytics and predictive analytics Graduate/certificate in Business Analytics from premier Institute would be an advantage

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Utilities Cust Financial Mgt FICA Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : Graduate Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems that apply across multiple teams. With your expertise and leadership, you will contribute to the success of the project and drive innovation in application development. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Utilities Cust Financial Mgt FICA- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 12 years of experience in SAP for Utilities Cust Financial Mgt FICA- This position is based in Noida- A Graduate degree is required Qualification Graduate

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring the successful delivery of projects. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in PySpark- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in PySpark- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies.- Mentor junior professionals to foster their growth and development in AI and machine learning. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement neural networks for various applications. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating production-ready solutions with deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of NLP algorithms for text analysis.- Design and develop AI models for language understanding.- Optimize NLP models for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI S/4HANA Central Finance Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI S/4HANA Central Finance- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FI S/4HANA Central Finance- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education