31 Data Engineers Jobs

As a seasoned professional with extensive experience in machine learning operations (MLOps), you will be responsible for leading a talented team and developing a comprehensive technical strategy. Your expertise in Python programming and ML frameworks such as TensorFlow or PyTorch will be crucial in implementing MLOps best practices, including model versioning, monitoring, automated deployment, and infrastructure automation. Your in-depth knowledge of Google Cloud Platform services, including Data Fusion, Dataproc, and Dataflow, will play a key role in data processing and pipeline orchestration. Experience with PostgreSQL databases and data integration tools like Qlik Replicate will further enhance your capabilities in this role. Security and privacy considerations for machine learning systems will be a top priority, requiring expertise in data encryption, access control, and compliance with regulations such as GDPR and HIPAA. Strong communication and leadership skills are essential for engaging both technical and non-technical stakeholders effectively. With a background in Computer Science, Engineering, or related field, along with 5+ years of experience managing software engineering or MLOps teams, you will be well-equipped to take on this challenging role. Hands-on experience deploying and managing machine learning models in production for 3+ years will further strengthen your candidacy. Your overall IT industry experience of 14+ years, along with relevant certifications in MLOps and Cloud platforms (especially GCP Professional Machine Learning Engineer or Data Engineer), will be valuable assets in this position. In this role, you will be leading the development and execution of a comprehensive technical strategy for the end-to-end ML lifecycle and experimentation capabilities. Your responsibilities will include fostering a culture of continuous learning and innovation, participating hands-on in coding, code reviews, troubleshooting, and mentoring, and creating scalable MLOps frameworks and infrastructure to support the full machine learning pipeline. Collaboration with data scientists, data engineers, software developers, and business stakeholders will be essential to ensure robustness, scalability, and performance in integrating ML models into production. Implementation of rigorous security best practices to maintain compliance with industry standards and regulations will be a critical aspect of your role. Furthermore, you will be responsible for maintaining thorough technical documentation, guidelines, and knowledge-sharing resources to support the ongoing success of the MLOps initiatives.,

Birlasoft is seeking a visionary Senior/Lead Cloud and Data Architect with proven leadership capabilities to drive enterprise-level data solutions. The ideal candidate will have expertise in cloud platforms ( AWS , Azure , or GCP ), mandatory experience in Databricks or Snowflake , and a strong foundation in data warehousing , data modeling , DevOps , and DataOps . Additionally, the role demands a strategic leader with an understanding of machine learning (ML) concepts and the ability to function as an Enterprise Architect , providing guidance and alignment across diverse teams and initiatives. Key Responsibilities Leadership and Collaboration: Lead and inspire cross-functional teams, including data engineers , data scientists , ML engineers , and BI analysts , fostering a culture of collaboration, innovation, and continuous improvement. Act as the central technical point of contact for enterprise-wide data and analytics initiatives, ensuring alignment with business objectives. Collaborate with senior leadership and business stakeholders to define and deliver on data strategy, ensuring scalability and alignment with enterprise goals. Mentor and upskill team members, providing guidance on best practices, emerging technologies, and professional development. Enterprise Architecture: Develop and maintain enterprise-level architectural blueprints for cloud and data platforms, ensuring interoperability and scalability. Create a cohesive architecture that integrates data platforms , ML systems , and business intelligence tools while adhering to governance and compliance requirements. Provide strategic input on technology roadmaps, ensuring alignment with organizational vision and future-proofing investments. Evaluate and recommend emerging technologies and frameworks to enhance enterprise data capabilities. Cloud and Data Platform Engineering: Design and implement cutting-edge cloud architectures using AWS , Azure , or GCP , focusing on scalability, security, and cost optimization. Build and optimize modern data platforms using Databricks or Snowflake for advanced analytics and real-time data processing. Lead the development of end-to-end data pipelines, ensuring robust integration between data sources, platforms, and analytics tools. Data and ML Integration: Collaborate with ML teams to deploy machine learning pipelines and operationalize AI models within enterprise systems. Provide architectural support for ML initiatives, including data preparation, feature engineering, and model lifecycle management. Enable seamless integration of ML and analytics into business workflows, enhancing decision-making and operational efficiency. Data Warehousing and Modeling: Architect enterprise data warehouses with robust data models, ensuring high performance and reliability for analytics workloads. Lead the development of advanced data models that cater to both analytical and operational requirements, emphasizing scalability and data quality. DevOps and DataOps Practices: Establish and enforce DevOps and DataOps pipelines to automate deployments, enhance agility, and ensure operational excellence. Drive initiatives for continuous improvement in data delivery, ensuring high availability, data quality, and scalability. Governance, Security, and Compliance: Define and enforce data governance policies, including data security, lineage, and compliance with industry regulations. Implement robust security measures to protect sensitive data across platforms, adhering to privacy standards such as GDPR and CCPA. Qualifications: Education and Experience: Education : Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Experience : o10+ years in data architecture, cloud platforms, and advanced analytics. oHands-on experience with at least two cloud platforms ( AWS , Azure , or GCP ) is mandatory. oExpertise in Databricks or Snowflake is required. oComprehensive understanding of data warehousing , data modeling , and data integration . oExperience implementing ML pipelines or integrating ML solutions with enterprise systems. oProven track record in enterprise architecture, aligning technology solutions with business goals. Technical Skills: Proficient in programming languages such as Python , SQL , or Scala . Familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus. Deep understanding of big data frameworks, distributed systems, and real-time processing. Experience with DevOps tools like Terraform , Kubernetes , or CI/CD platforms. Leadership Skills: Strong strategic thinking with the ability to define and execute large-scale data and cloud strategies. Exceptional communication skills to engage with both technical and non-technical stakeholders. Proven ability to lead diverse teams across geographies and time zones, ensuring high performance and cohesion. Capable of making data-driven decisions while managing competing priorities and deadlines. Preferred Qualifications: Certifications in AWS, Azure, GCP, Databricks, or Snowflake. Experience working in enterprise-scale environments with complex data landscapes. Exposure to industry-specific data challenges in domains like finance, insurance, or healthcare.

You will be joining a team at PwC that specializes in data and analytics engineering, utilizing advanced technologies and techniques to create strong data solutions for clients. Your role will involve the transformation of raw data into actionable insights, supporting informed decision-making and fostering business growth. In the field of intelligent automation, your focus will be on process mining, designing automation solutions, and implementing process automation, robotic automation, and digital workflow solutions to enhance operational efficiency and cost reduction for clients. With a requirement of at least 8 years of hands-on experience, your responsibilities will include leading and overseeing a team of software engineers working on advanced software solutions for GenAI projects. You will collaborate with senior leadership and cross-functional teams to gather business requirements, identify areas for technological enhancements, and ensure alignment with organizational objectives. Designing event-driven architectures for real-time data processing, utilizing containerization technologies like Kubernetes, managing data lakes effectively, and promoting Python as the primary programming language are key aspects of your role. Moreover, you will facilitate collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Keeping abreast of GenAI technologies, translating complex business needs into technical solutions, documenting software engineering processes, and promoting a culture of excellence will be crucial tasks. Continuous professional development of the team through acquiring new solution architecture certifications and adherence to industry best practices will also be part of your responsibilities. The ideal candidate will possess a degree in BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA along with a strong background in software engineering and solution architecture.,

As a skilled Python AIML Developer with expertise in Django, you will be responsible for developing AI/ML models, integrating them with web applications, and deploying scalable solutions. Your role will involve collaborating with cross-functional teams to design, develop, and implement AI-driven applications. Your key responsibilities will include developing, training, testing, and optimizing AI/ML models for real-world applications such as classification, regression, and natural language processing (NLP). You will integrate machine learning models into Django-based web applications and design APIs for model interaction using Django REST Framework (DRF). Additionally, you will work with libraries like TensorFlow, PyTorch, Scikit-learn, HuggingFace, ElasticSearch, Textract, or similar for AI/ML development, optimize model performance, and manage databases to store AI-related data. Furthermore, you will be deploying machine learning models using technologies like Docker, Kubernetes, Azure, or cloud platforms (AWS, GCP, or Azure), performing unit testing and debugging, leading a team of engineers, and providing technical leadership/mentorship. Collaboration with front-end developers, data engineers, and product managers to create seamless AI-driven applications is also a part of your responsibilities. It is crucial to stay updated with the latest AI/ML advancements and integrate them into projects. To excel in this role, you should be proficient in AI/ML development libraries like TensorFlow, Pytorch, Scikit-Learn, HuggingFace, or ElasticSearch, Textract, and similar libraries. You must have an understanding of NLP, Computer Vision, Deep Learning, and Predictive Analysis, along with hands-on experience with SQL and NoSQL databases. Knowledge about Docker, Kubernetes, CI/CD pipeline logic, Azure, and cloud services is essential, along with a minimum of 3 years of experience in AI technologies. Strong communication skills are also required for effective collaboration with team members.,

NTT DATA is looking for an AI & LLM Engineer - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana, India. As a Software Engineer focusing on LLM & Agentic AI Systems, you will be responsible for designing and constructing intelligent agents utilizing LLMs to autonomously execute tasks through planning, reasoning, and tool utilization. You will also be tasked with developing backend services and APIs to facilitate AI agent workflows and integrations. Additionally, implementing planning frameworks like ReAct, AutoGPT, BabyAGI, LangGraph, and decision-making loops using LLMs will be part of your responsibilities. Testing and optimizing LLM-based applications with tools such as LangChain, LlamaIndex, or Semantic Kernel is also a key aspect of this role. You will create and manage pipelines connecting LLMs to tools, APIs, and databases in real-time, collaborating closely with ML/AI researchers, data engineers, and product teams to deliver LLM-powered experiences. NTT DATA is a renowned global innovator of business and technology services with a commitment to assisting clients in innovating, optimizing, and transforming for long-term success. As a Global Top Employer, NTT DATA boasts a diverse team of experts across more than 50 countries and a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is at the forefront of providing digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D annually to facilitate organizations" transition into the digital future confidently and sustainably. For more information, visit us at us.nttdata.com.,

As a US IT Recruiter at Scalable Systems Pvt. Ltd. in Bhubaneswar, you should have a minimum of 3 years of experience in US IT recruitment, specifically focusing on implementation clients. Your responsibilities will include demonstrating a strong understanding of IT roles, technologies, and recruitment processes. It is essential that you possess proven expertise in sourcing and hiring for positions such as SAP consultants, Cloud Architects, Full Stack Developers, Data Engineers, and other related roles. You will be expected to be familiar with Applicant Tracking Systems (ATS) and various recruitment tools to effectively manage the recruitment process. Strong communication, negotiation, and relationship-building skills are crucial for this role. Additionally, your ability to work independently and meet deadlines in a remote setting will be highly valued. Given the nature of the position, you must be willing to work in US time zones to effectively engage with candidates and clients.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will have the opportunity to work within Accenture Global Network, a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. This role offers continuous opportunities for learning and growth within a diverse and vibrant global community that pushes the boundaries of business capabilities. Key responsibilities include: - Demonstrating a complete understanding of the current state of affairs in machine learning and AI - Interacting with clients to understand their requirements and transforming them into a business framework, providing advanced analytics solutions - Managing a team of data scientists and data engineers - Providing regular coaching to the team on team management and advanced analytical concepts The ideal candidate will have: - Relevant experience in the required domain - Strong analytical, problem-solving, and communication skills - Ability to work in a fast-paced, dynamic environment Qualifications: - Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas - MBA from a top-tier academic institution - Minimum 7 years of experience in Advanced Analytics with at least 4 years of experience in the Insurance domain - Experience in working in dual shore engagement and managing clients directly - Managerial experience in leading analytics teams, including career management of offshore staff, training, and recruiting In this role, you will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. Join Accenture, ranked 10th on the 2023 World's Best Workplaces list, and be a part of a great place to work.,

As a data scientist, you will collaborate with data engineers to ensure efficient data collation and cleaning processes. You will work closely with the data engineers to validate data sufficiency and quality. Additionally, you will be responsible for conducting exploratory modeling to evaluate the potential for data modeling based on the available datasets. You will utilize both publicly accessible data platforms and develop new models for building, testing, and deploying. The ideal candidate for this role will possess hands-on experience in constructing data models specifically tailored for the agriculture and related sectors. Furthermore, candidates with technical knowledge of the agriculture sector, including but not limited to farm production, commodity trade, and climate dynamics, will be preferred. Prior experience in risk modeling or risk assessment will be an added advantage.,

It is exciting to work in a company where individuals truly BELIEVE in the mission and vision of the organization. The commitment to bringing passion and customer focus to the business is evident in every aspect of our work culture. The job is based in multiple locations including Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, and Noida. As a Machine Learning Operations (MLOps) Engineer, you will play a crucial role in addressing the challenge faced by large companies in transitioning to an AI-driven organization by building the machine learning production system. This opportunity is perfect for an experienced server-side developer looking to expand their expertise in this cutting-edge field. Working alongside a team dedicated to deploying state-of-the-art AI solutions for Fractal clients, you will be at the forefront of innovation. Your responsibilities will include collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. You will be instrumental in automating and streamlining model development and operations, as well as building and maintaining tools for deployment, monitoring, and operations. Troubleshooting and resolving issues in development, testing, and production environments will also be a key part of your role. Your tasks will involve enabling model tracking, experimentation, and automation, developing scalable ML pipelines, and creating MLOps components in the machine learning development life cycle using tools such as MLFlow, Kubeflow Model Registry, Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML end-to-end PaaS/SaaS services. You will work across all phases of the model development life cycle to build MLOps components and contribute to the knowledge base required for delivering complex MLOps projects on Cloud (AWS, Azure, GCP) or On-Premises environments. Additionally, you will actively participate in client business development and delivery engagements across various domains. The ideal candidate will have 3-5 years of experience in building production-quality software and a strong background in system integration, application development, or data warehouse projects using enterprise technologies. Basic knowledge of MLOps, machine learning, and Docker is required, along with proficiency in object-oriented languages such as Python, PySpark, Java, C#, or C++. Experience in developing CI/CD components for production-ready ML pipelines, database programming using SQL, and knowledge of Git for source code management are essential. The ability to collaborate effectively in a fast-paced environment, solve complex challenges, and deliver innovative solutions is crucial. Strong team handling, problem-solving, project management, and communication skills, along with a hunger for continuous learning, are highly valued. Candidates should hold a B.E/B.Tech/M.Tech in Computer Science or a related technical degree or equivalent qualification. If you are someone who thrives in a dynamic environment, loves learning, and enjoys working with motivated individuals, this opportunity is perfect for you! If this role does not align with your current aspirations, please express your interest in future opportunities by clicking "Introduce Yourself" or setting up email alerts for relevant job postings.,

Databricks is experiencing record-breaking expansion, helping the worlds leading enterprises harness the power of data, machine learning, and AI to transform their businesses. As we continue to scale our Professional Services organization in India, we are looking for a Senior Recruiter who will focus on building out high-caliber talent pipelines for roles such as Resident Solution Architects (RSA), Data Engineering Specialists, AI/ML Experts, Project Managers, and Engagement Managers. This is your opportunity to make a significant impact in one of the worlds fastest-growing tech companies, helping us deliver exceptional customer success with the best talent in the industry. Your Impact Own full-cycle recruiting for Professional Services roles in India, including Solution Architects, Data/AI specialists, and Professional Services leadership positions. Partner closely with Regional & Global Leaders to understand hiring needs and design strategies that deliver top technical and consulting talent at speed and scale. Develop and maintain scalable talent pipelines, engaging both active and passive candidates to anticipate current and future hiring needs. Leverage data-driven insights to guide workforce planning, hiring strategies, and business leader decision-making. Drive initiatives around hiring efficiency, candidate experience, inclusion, and employer branding, establishing Databricks as an employer of choice for Professional Services talent in India. Collaborate with peers across APJ to share best practices and support cross-country hiring efforts. What Were Looking For Proven experience recruiting for Professional Services / Consulting roles in the software or cloud/data/AI space. Demonstrated success in hiring Solution Architects, Technical Consultants, Data Engineers, AI/ML specialists, and Program/Engagement Managers. Strong ability to build trusted partnerships with hiring managers and leaders, influencing outcomes and enabling business growth. Expertise in scaling talent acquisition processes in fast-growth, innovative environments. Experience leading initiatives across India and the broader APJ region, including driving projects around sourcing innovation, DEI, and process optimization. Passion for mentoring, collaboration, and creating world-class candidate experiences. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&aposs discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Your role may involve analyzing the impact that new regulations will have on an insurance company's balance sheet or revising business projections to ensure adequate reserves. To stand out and ensure a successful future in a constantly changing world, each individual at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, sets clear expectations across lines, geographies, and career paths. It emphasizes the skills required for success and career progression in the present and future. **Responsibilities:** As a Senior Associate, working as part of a problem-solving team at PwC, your responsibilities include but are not limited to: - Developing self-awareness, addressing development areas, and leveraging feedback and reflection. - Delegating tasks to provide growth opportunities for others, coaching them to achieve results. - Demonstrating critical thinking and structuring solutions for complex business problems. - Utilizing various tools and techniques to extract insights from industry trends. - Reviewing work for quality, accuracy, and relevance, including that of colleagues. - Making informed decisions on tool usage and explaining the rationale behind choices. - Embracing diverse opportunities to gain exposure to different situations and perspectives. - Communicating effectively and influencing others in a structured manner. - Adapting behavior to build strong relationships and upholding ethical standards. - Contributing to the development of AI solutions, including prompt engineering, retrieval-augmented generation, fine-tuning, and multi-agent systems. - Applying econometric modeling techniques like GLMs, time series analysis, and semi-parametric models. - Using machine learning models such as XGBoost, random forests, and support vector machines. - Ensuring compliance with model-related regulatory requirements during model development, validation, and monitoring. - Proficiency in programming languages like Python, R, Databricks, and React. - Enforcing DevOps best practices including version control, CI/CD, test automation, and collaboration. - Designing, developing, and deploying AI models in real-world client environments. - Monitoring AI trends and supporting project delivery to enhance business processes and decision-making. - Collaborating with cross-functional teams to deliver high-quality solutions aligned with client needs. - Supporting business development efforts and internal GenAI assets to grow the firm's practice. **Qualifications:** **Minimum Educational Qualifications:** - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or related technical fields. **Credentials - Good To Have:** - A master's degree or PhD in a related field from a premium institute is preferred but not required. **Minimum Years of Experience Requirement (Credential):** - 3-4 years of relevant experience.,

We are looking for a highly analytical and detail-oriented Healthcare Data Analyst with strong QA experience. Your role will involve validating data ingestion processes, ensuring data warehouse integrity, testing rule engine outputs, and monitoring streaming datasets from Kafka topics. Proficiency in SQL, data validation techniques, and a solid understanding of healthcare data workflows and downstream systems are essential for this position. As a Healthcare Data Analyst with QA Experience, you will be responsible for various tasks, including performing QA testing on data ingestion pipelines to maintain data accuracy, validating data warehouse structures and consistency across multiple sources, verifying rule engine outputs, executing complex SQL queries for data validation and profiling, ensuring data integrity across systems, monitoring streaming datasets ingested through Kafka topics, collaborating with data engineers, business analysts, and QA teams to define test strategies, and documenting test cases and procedures. We are seeking candidates with at least 4 years of experience for this full-time employment opportunity at all Persistent locations. Your expertise in data validation, QA testing, SQL, and collaboration with cross-functional teams will be crucial in this role. In addition to competitive salary and benefits, we offer a culture focused on talent development, opportunities to work with cutting-edge technologies, employee engagement initiatives, annual health check-ups, and insurance coverage for self, spouse, children, and parents. We are committed to fostering diversity and inclusion in the workplace, providing hybrid work options, flexible hours, and accessible facilities for employees with specific requirements. At Persistent, we aim to create a values-driven and people-centric work environment where employees can accelerate growth professionally and personally, make a positive impact using the latest technologies, enjoy collaborative innovation, and unlock global opportunities for learning and development. Join us to unleash your full potential in an inclusive and equal opportunity workplace.,

As the Director - Talent Acquisition at Accordion in Hyderabad, Telangana, you will be instrumental in bringing top talent into the company by implementing effective talent acquisition strategies, managing a team of Recruitment Managers, sourcing candidates, and overseeing the talent acquisition process. Your role will involve collaborating with the Senior Leadership Team to align talent planning strategies with business objectives, exhibiting subject matter expertise in technology roles hiring, and contributing to critical roles across the technology domain through behavioural assessments and compensation negotiations. You will lead workforce planning efforts, maintain accountability for evolving headcount changes, and strengthen employer branding initiatives. Additionally, you will represent Talent Acquisition in internal forums, manage internal application tracking systems, oversee data management and reporting responsibilities, and ensure TA compliance management requirements. Furthermore, you will be responsible for managing external vendor relationships, overseeing the offer proposal process, and driving comprehensive offer negotiations. The ideal candidate for this role should possess 8-12 years of experience in similar positions at start-ups or mid-size companies, hold a post-graduate degree from a reputed institute, demonstrate very strong written and verbal communication skills, exhibit strong people management skills and influencing capabilities, and showcase experience in managing people to deliver results in a fast-paced environment. Independent thought leadership, proactive approach, and team-oriented mindset are also crucial attributes for this role. Exploring a career at Accordion offers various benefits, including a high-growth environment with semi-annual performance management and promotion cycles, cross-domain exposure to interesting and challenging work streams, an entrepreneurial environment that fosters intellectual freedom, and a fun culture with a strong peer group. Additionally, full-time employees enjoy benefits such as health and wellness programs, corporate meal card options, team lunches, company-sponsored team outings and celebrations, a robust leave policy, reward and recognition platforms, and a positive and transparent work environment with various employee engagement and benefit initiatives to support personal and professional learning and development. Join Accordion and play a key role in transforming how portfolio companies drive value while enjoying a dynamic and rewarding career in a supportive and growth-oriented environment.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyze the impact that new regulation will have on an insurance company's balance sheet or you could be revising business projections and making sure they have adequate reserves. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this, we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. - Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). - Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). - Utilize machine learning models including XGBoost, random forests, and support vector machines. - During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. - Experience with programming languages and environments such as Python, R, Databricks, and React. - Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. - Design, develop, and deploy AI models in real-world client and business environments. - Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. - Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. - Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. - Work with cross-functional teamsdata engineers, architects, and data scientiststo deliver efficient, high-quality solutions aligned with client needs. - Support business development efforts, including the technical sales cycles and the client proposal process. - Support the development of internal GenAI assets and foundational capabilities to grow the firm's practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 3-4 years,

As a Technical Lead / Data Architect, you will play a crucial role in our organization by leveraging your expertise in modern data architectures, cloud platforms, and analytics technologies. In this leadership position, you will be responsible for designing robust data solutions, guiding engineering teams, and ensuring successful project execution in collaboration with the project manager. Your key responsibilities will include architecting and designing end-to-end data solutions across multi-cloud environments such as AWS, Azure, and GCP. You will lead and mentor a team of data engineers, BI developers, and analysts to deliver on complex project deliverables. Additionally, you will define and enforce best practices in data engineering, data warehousing, and business intelligence. You will design scalable data pipelines using tools like Snowflake, dbt, Apache Spark, and Airflow, and act as a technical liaison with clients, providing strategic recommendations and maintaining strong relationships. To be successful in this role, you should have at least 15 years of experience in IT with a focus on data architecture, engineering, and cloud-based analytics. You must have expertise in multi-cloud environments and cloud-native technologies, along with deep knowledge of Snowflake, Data Warehousing, ETL/ELT pipelines, and BI platforms. Strong leadership and mentoring skills are essential, as well as excellent communication and interpersonal abilities to engage with both technical and non-technical stakeholders. In addition to the required qualifications, certifications in major cloud platforms and experience in enterprise data governance, security, and compliance are preferred. Familiarity with AI/ML pipeline integration would be a plus. We offer a collaborative work environment, opportunities to work with cutting-edge technologies and global clients, competitive salary and benefits, and continuous learning and professional development opportunities. Join us in driving innovation and excellence in data architecture and analytics.,

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 Looker Platform Developer, you will play a crucial role in our team by transforming data into valuable insights. Your primary responsibility will be to develop and enhance LookML models, dashboards, and workflows on the Looker platform. Collaborating closely with data engineers and analysts, you will ensure that our data is visualized accurately and effectively. Your key responsibilities will include creating LookML models to address business reporting and analytics requirements, constructing Looker dashboards and workflows to provide actionable insights, and implementing best practices for performance optimization, such as caching and data modeling. It will also be essential for you to manage code changes using version control, validate data through Looker's SQL Runner, and engage in collaborative efforts with various teams to comprehend their needs. To qualify for this role, you should possess a Bachelor's degree in Computer Science or a related field, or have equivalent experience. Previous experience as a Looker Platform Developer or in a similar position is highly desirable. Additionally, you must demonstrate strong SQL and data modeling skills, familiarity with version control systems like Git, and excellent problem-solving and communication abilities. Your proficiency in workflows, LookML, SQL Runner, data validation, data modeling, version control, and communication skills will be essential in excelling as a Looker Platform Developer within our team.,

As an Industry 4.0 (I4.0) Analyst at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives and delivers end to end smart manufacturing solution, integrated across functions of the business. The team will apply industry-leading best methodologies in automation, AI and machine learning to enhance Micron's product development, business and administrative processes across the company. You will work with a team of Data Scientists and Data Engineers, making an important contribution to the design, analysis, and implementation of data science solutions and business improvement ideas. You will also work closely with key customers to ensure positive impact and sustainable results. In this role, you will have the following responsibilities: - Collaborate with Data Engineers & Data Scientists to deliver I4.0 projects that require the coordination and support of resources from global teams - Work closely with procurement category teams to implement I4.0 use cases, find opportunities and support delivery of financial/operational impact in collaboration with category and program management teams - Work with I4.0 solution end-users to define requirements, diagnose, design, and analyze information related to the adoption of I4.0 solutions - Quantify, track, and monitor financial/operational impact of I4.0 solutions to the business - Identify new I4.0 use-cases and standard methodologies across strategic and operational procurement processes - Develop case, including impact validation approach, ROI of potential solutions and prioritize & propose projects for implementation - Implement best-in-class external procurement solutions working closely together with startups and established technology providers - Ability to think critically and break down complex data/processes to identify key levers and applicable solutions Qualifications: - At least 3-5 years of work experience in Procurement or similar operations functions - Familiarity with procurement processes, systems, and solutions preferably in the semiconductor industry - Excellent interpersonal skills with demonstrable ability to effectively lead and present to small and large groups - Proven ability to work multi-functionally with peers, senior and mid-level management - Peer leadership and relationship management skills - Strong analytical and problem-solving skills - Highly organized and ability to remain flexible to the changing business needs Good to have: SQL queries, database, Tableau dashboarding experience Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_in@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.,

As a Data Architect in our organization, you will play a crucial role in defining the data architecture for key domains within the Data Products Portfolio. Your responsibilities will include evaluating data-related tools and technologies, recommending implementation patterns, and standard methodologies to ensure our Data ecosystem remains modern. Collaborating with Enterprise Data Architects, you will establish and adhere to enterprise standards while conducting PoCs to ensure their implementation. Your expertise will be instrumental in providing technical guidance and mentorship to Data Engineers and Data Analysts, developing and maintaining processes, standards, policies, guidelines, and governance to ensure consistency across the company. You will create and maintain conceptual/logical data models, work with business and IT teams to understand data requirements, and maintain a data dictionary with table and column definitions. Additionally, you will review data models with technical and business audiences and lead the design/build of new models to deliver financial results efficiently to senior management. This role is primarily technical, requiring you to function as an individual contributor (80%) while also demonstrating leadership capabilities (20%). Your key responsibilities include designing, documenting, and training the team on overall processes and process flows for Data architecture, resolving technical challenges in critical situations, developing relationships with external stakeholders, reviewing work from other tech team members, and implementing Data Architecture and Data security policies aligned with governance objectives and regulatory requirements. **Essential Education** - A Bachelor's degree in information science, data management, computer science, or a related field is preferred. **Experience & Qualifications** - Bachelor's degree or equivalent combination of education and experience. - 12+ years of IT experience with a major focus on data warehouse/database related projects. - Expertise in cloud databases like Snowflake/RedShift, data catalog, MDM, etc. - Proficiency in SQL, database procedures, Data Modelling (Conceptual, logical, and Physical), and documenting architecture-related work. - Hands-on experience in data storage, ETL/ELT, data analytics tools and technologies, Data Warehousing design/development, and BI/Analytical systems. - Experience with Cloud Big Data technologies such as AWS, Azure, GCP, and Snowflake. - Experience with Python is preferable. - Strong hands-on experience with data and analytics data architecture, solution design, and engineering. - Experience working with Agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams. - Strong communication and presentation skills for presenting architecture, features, and solution recommendations. You will work closely with global functional portfolio technical leaders, product owners, functional area teams, Global Data portfolio Management & teams, and consulting and internal Data Tribe teams across the organization.,

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.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. At Accenture, you will have the opportunity to be part of the Accenture Global Network, a unified powerhouse that integrates Strategy & Consulting with Data and Artificial Intelligence. This dynamic environment is central to Accenture's future growth, providing continuous learning and growth opportunities for individuals. You will join a diverse, vibrant global community that constantly pushes the boundaries of business capabilities. Accenture's recognition as the 10th on the 2023 World's Best Workplaces list underscores its commitment to being a great place to work. In this role, you will need to have a complete understanding of machine learning and AI, interact with clients to understand their requirements, and translate them into business frameworks by providing advanced analytics solutions. Additionally, you will manage a team of data scientists and data engineers, provide coaching on team management and advanced analytical concepts, and demonstrate excellent written and verbal communication skills. The ideal candidate for this position will have a Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas, along with an MBA from a top-tier academic institution. You should have a minimum of 7 years of experience in Advanced Analytics, with at least 4 years of experience in the Insurance domain. Experience in dual shore engagement, direct client management, new business development, and leading analytics teams is essential. You should possess superior analytical and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. This role offers the opportunity to work on innovative projects, experience career growth, and gain exposure to leadership opportunities. If you are a motivated individual with a solution-oriented mindset and the ability to create market-leading solutions, we encourage you to apply for this exciting position at Accenture.,

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.,

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer, you should have experience with: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies GPT, BERT, or other language models. - Experience in building GenAI applications, RAG-based architectures. - Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. - Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. - Deployment: Build and deploy AI/ML solutions into production environments using appropriate tools and frameworks. - Knowledge of one of the cloud platforms is a must: AWS/AZURE. - Collaboration: Work closely with product managers, data engineers, and software developers to integrate AI capabilities into products and ensure alignment with business objectives. - Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. - Strong Affinity to stay informed on the latest trends, tools, and research in AI and machine learning space. - Support and contribute to data collection efforts, as needed. - Verify data quality to ensure accurate analysis and reporting. - Help identify the business data needed to produce the most useful insights and future analytics. - Utilize data to make actionable recommendations at all levels. - Monitor data management processes to ensure data quality and consistency. - Monitor system performance, data integrity, and usage metrics. - Contribute to data dictionary, standards, training, and ongoing updates. Some other highly valued skills may include: - Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. - Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations: - To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. - OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership of managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

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.,

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.,