It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Location: Bangalore/Gurgaon/Chennai/Coimbatore/Pune/Mumbai Exp Required: 2-4 Years required, If any BE/BTech/MBA Role Details Need someone with strong Data Engineering skillet to ensure production related activities are delivered as per SLA. Need to work on issues/requests, bug fixes, minor changes, co-ordinate with the development team in case of any issues, work on enhancements. Mandatory technical skills Strong experience in Azure Data Engineering services.Data Factory o Azure Databricks o Storage (ADLS Gen 2)Web app/App service Strong experience in Programming languages like Python, Pyspark, SQL Hands on experience in log analytics and Application Insights. Strong experience in Azure SQL. Mandatory non-technical skills Drive Incident/Problem resolution by assisting in key operational activities in terms of delivery, fixes, and supportability with operations team. Assist in change ticket review / approvals / planning and work with internal teams. Assist with projects being transitioned from project teams to Support teams. Escalation points for operation-related issues Experience working in ServiceNow is preferred. Attention to detail a must, with focus on quality and accuracy. Able to handle multiple tasks with appropriate priority and strong time management skills. Flexible about work content and enthusiastic to learn. Knowledge of service support, operation & design processes (ITIL) Ability to handle concurrent tasks with appropriate priority. Strong relationship skills to work with multiple stakeholders across organizational and business boundaries at all levels. Education Qualification and Certifications required, If any BE/BTech/MBA If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Skills Required Proven experience of 5 to 7 years as an MIS Executive or in a similar role. Advanced proficiency in Microsoft Excel (VLOOKUP, HLOOKUP, PivotTables, Macros, etc.). Strong analytical and problem-solving skills. Good communication and interpersonal skills. Ability to work independently and collaboratively within a team. Prior experience in Human Resources is preferred. Readiness to take up HR activities like Onboarding, ELC, audit related and HR OPS activities as needed Responsibilities Data Analysis and Reporting: Utilize advanced Excel functions for in-depth data analysis. Maintain and update existing reports with a focus on accuracy and relevance. Interpret data trends and provide actionable insights. Tracker and Report Creation: Develop new trackers and reports based on organizational needs. Collaborate with departments to understand reporting requirements. Data Management: Ensure data integrity and security through effective data management practices. Regularly audit and clean datasets to maintain high-quality data. Collaboration with HR: Work closely with HR for the analysis and reporting of HR-related data. Assist in developing HR metrics and key performance indicators. Process Improvement: Identify opportunities for process improvement in data management and reporting. Propose and implement solutions to enhance efficiency and accuracy. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Overview We are seeking a highly skilled Full Stack Engineer with 4-6 years of experience, proficient in both frontend and backend development. The ideal candidate will have expertise in modern web technologies like React, Vue.js, Next.js, and a strong foundation in backend development with Python, FastAPI, and SQLAlchemy. This role is ideal for someone who is not only technically proficient but also passionate about AI and driven to stay updated with the latest in AI research and development. Key Responsibilities Frontend Development: Develop user-centric web applications using React, Vue.js, and Next.js. Write efficient, modular, and reusable code in JavaScript and TypeScript. Collaborate with designers to ensure seamless and responsive UI/UX. Optimize applications for maximum speed and scalability across devices. Backend Development Build, optimize, and scale APIs using Python frameworks like FastAPI. Implement database solutions with PostgreSQL or equivalent relational databases. Utilize SQLAlchemy for ORM and efficient data modelling. Work on microservices architecture and develop scalable backend systems. AI & Research Engage with and contribute to AI-driven solutions, researching and integrating AI models and technologies into the stack. Stay up to date with advancements in AI, Machine Learning, and related technologies, integrating them into the development process when relevant. Performance Optimization Optimize both frontend and backend applications for performance and scalability. Implement caching, load balancing, and other strategies to handle large-scale data and traffic. Debug, monitor, and improve application performance in production environments. Collaboration Collaborate with different AI research teams, and product designers. Participate in code reviews, design discussions, and contribute to a culture of learning and innovation. Frontend Required Skills Strong experience in React, Vue.js, Next.js, and JavaScript/TypeScript. Familiarity with state management libraries (e.g., Redux, Vuex). Experience with responsive design, CSS, and cross-browser compatibility. Backend Proficient in Python, with a focus on FastAPI or equivalent frameworks. Experience with ORM libraries such as SQLAlchemy. Strong understanding of RESTful API development and microservices architecture. Database Proficiency in SQL databases like PostgreSQL and experience with database optimization techniques. Familiarity with NoSQL databases. Performance & Scaling Knowledge of performance optimization techniques, caching strategies, and load balancing. Experience with containerization (Docker) and orchestration tools (Kubernetes) is a plus. Cloud And DevOps Experience with cloud platforms (Azure, GCP, AWS). Familiarity with CI/CD pipelines and DevOps practices. Mindset A passion for AI and continuous learning, with a proactive approach to staying updated on emerging technologies and AI research. Strong problem-solving skills and the ability to think critically. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Fractal is one of the world’s largest pure‑play AI firms, powering decision‑making for global enterprises. With more than 5,100 professionals across 18 locations, we build end‑to‑end AI solutions by integrating AI, Engineering, and Design. This blend helps clients identify and reframe problems, develop the right algorithms and infrastructure, and design & implement solutions that create lasting impact. Role Snapshot Lead Financial Services and Insurance clients and teams across North America & Europe. You will shape their AI‑driven transformation agendas, craft high‑impact solutions, and lead C‑suite conversations that unlock profitable growth—for them and for Fractal. You will also build and nurture a high‑performing consulting team, fostering a culture of innovation and client impact. Location & Travel Primary location: Mumbai (preferred) Alternate locations: Bengaluru or Gurgaon Travel: Flexibility to travel internationally — about one trip per quarter Responsibilities Advise the C‑suite – translate analytics into board‑level narratives and quantified business cases Design breakthrough solutions – blend Gen AI, advanced analytics, and domain insight to solve priority problems Own account growth – identify whitespace, structure win‑win commercial models, and expand revenue Lead thought leadership – publish points of view, speak at industry forums, and position Fractal as the go‑to AI partner Guide execution – orchestrate cross‑functional teams and partners to convert strategy into outcomes Grow & build capability – hire, mentor, and retain diverse, high‑performing analytics and consulting talent, fostering continuous learning and innovation across locations What You’ll Bring 15+ years in analytics and strategy consulting, with 8–10 years advising Financial Services and Insurance clients Deep appreciation of the AI landscape—platforms, emerging tools, governance, and how to turn strategy into actionable roadmaps Proven record of shaping multi‑million‑dollar AI and analytics programs and consistently delivering growth Domain expertise in Financial Services and Insurance; exposure to Risk, Fraud, Underwriting, or Claims is a strong plus Gravitas with senior executives, compelling storytelling skills, and sharp commercial acumen Entrepreneurial mindset and comfort operating in fast‑moving, ambiguous environments Post‑graduate degree in a quantitative field (MBA, MS, or equivalent preferred) If you thrive at the intersection of data, technology, and client impact, we’d love to hear from you. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Role: Data Modeler Location: Delhi NCR / Bangalore / Hyderabad / Pune / Chennai / Coimbatore Key Skills: SQL Data Modeler, ETL, Erwin, Dimensional Data Modelling, DWH Experience Range: 6-13 years We are on a Look out for a Data Modeler with strong knowledge of Data Warehousing, Dimensional Modeling, Star and Snowflake Schema, ETL etc. Key Responsibilities: Responsible for Designing and Managing Data Architecture for the Enterprise Analytics Ecosystem. Should have ability to design conceptual, logical and Physical Data Models. Design scalable and efficient models Maintain Data Dictionaries. Requires a strong understanding of database design principles, data modelling techniques - especially Dimensional Model) and ETL processes. Participate in requirements definition, analysis, and the design of logical and physical data models. Requires Hands-on experience with modelling tools such as ERWIN or another industry-standard tool. Requires effective collaborating with various stakeholders such as Business Analysts, Data Engineers etc to ensure the Analytics and Reporting needs are supported efficiently. Lead data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modelling solutions. Explain the Models to the ETL team and work with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation. Support Different Analysts community in understanding and assessing Data Assets Ensure database designs efficiently support BI and end user requirements. Requires good exposure to Enterprise level Large Relational Databases (Synapse, GCP, Redshift etc.) Establish and Document Best practices in Data Modelling standards. Ensure compliance with Data Security standards and privacy regulations. Maintain current knowledge of industry trends and standards. Good to Have: Exposure to SAP system – Understand various modules of SAP – ECC, PLM etc. Exposure to Normalized (3 NF EDW models) Data models or Data vault Exposure to NoSQL - Graph Databases Education/Experience Level: Bachelor's degree in computer science, Engineering, or relevant fields with 3+ years of experience as a Data Modeler or Data Architect. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Responsibilities Participate in requirements definition, analysis, and the design of logical and physical data models for Dimensional Data Model, NoSQL, or Graph Data Model. Lead data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modeling solutions. Conduct data model reviews with project team members. Capture technical metadata through data modeling tools. Ensure database designs efficiently support BI and end user requirements. Drive continual improvement and enhancement of existing systems. Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation. Collaborate with Data Architects for data model management, documentation, and version control. Maintain expertise and proficiency in the various application areas. Maintain current knowledge of industry trends and standards. Required Skills Strong data analysis and data profiling skills. Strong conceptual, logical, and physical data modeling for VLDB Data Warehouse and Graph DB. Hands-on experience with modeling tools such as ERWIN or another industry-standard tool. Fluent in both normalized and dimensional model disciplines and techniques. Minimum of 3 years' experience in Oracle Database. Hands-on experience with Oracle SQL, PL/SQL, or Cypher. Exposure to Databricks Spark, Delta Technologies, Informatica ETL, or other industry-leading tools. Good knowledge or experience with AWS Redshift and Graph DB design and management. Working knowledge of AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS, and Glue. Bachelor's degree in Software Engineering, Computer Science, or Information Systems (or equivalent experience). Excellent verbal and written communication skills, including the ability to describe complex technical concepts in relatable terms. Ability to manage and prioritize multiple workstreams with confidence in making decisions about prioritization. Data-driven mentality. Self-motivated, responsible, conscientious, and detail-oriented. Effective oral and written communication skills. Ability to learn and maintain knowledge of multiple application areas. Understanding of industry best practices pertaining to Quality Assurance concepts and procedures. Education/Experience Level Bachelor's degree in Computer Science, Engineering, or relevant fields with 3+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or a similar role for large-scale enterprise solutions. 3+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem, including Data Lake, Data Warehouses, and Graph DB. AWS Solutions Architect Professional Level certifications. Extensive experience in data analysis on critical enterprise systems like SAP, E1, Mainframe ERP, SFDC, Adobe Platform, and eCommerce systems. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist/Senior Data Scientist Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Develop and maintain AWS Lex based chatbot workflow. Develop and maintain integration with the backend system (API based) Dev ops practices, Jenkin pipeline, AWS. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Data Analytics Engineer- AWS at Fractal.ai Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner. Experience: 3-5 years Location: Pan (India) Responsibilities As a Data Engineer, you will be responsible implementing complex data pipelines and analytics solutions to support key decision-making business processes in our client’s domain. You will gain exposure to a project that is leveraging cutting edge AWS technology that applies Big Data and Machine Learning to solve new and emerging problems for our clients. You will gain a added advantage of working very closely with AWS Professional Services teams directly executing within AWS Services and Technologies to solve complex and challenging business problems for Enterprises. Key Responsibilities Include Work closely with Product Owners and AWS Professional Service Architects to understand requirements, formulate solutions, and implement them. Implement scalable data transformation pipelines as per design - Implement Data model and Data Architecture as per laid out design. Evaluate new capabilities of AWS analytics services, develop prototypes, and assist in drawing POVs, participate in design discussions Requirements Minimum 3 years’ experience implementing transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads At least 2 years implementing solutions using AWS services such as Lambda, AWS Athena and Glue AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Experience working with data warehousing data lakes or Lakehouse concepts on AWS Experience implementing batch processing using AWS Glue/Lake formation, & Data Pipeline Experience in EMR/MSK Experience or Exposure to AWS Dynamo DB will be a plus Develop object-oriented code using Python, besides PySpark, SQL and one other languages (Java or Scala would be preferred) Experience on Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis Experience building pipelines and orchestration of workflows in an enterprise environment using Apache Airflow/Control M Experience implementing Redshift on AWS or any one of Databricks on AWS, or Snowflake on AWS Good understanding of Dimensional Data Modelling will be a plus. Ability to multi-task and prioritize deadlines as needed to deliver results Ability to work independently or as part of a team Excellent verbal and written communication skills with great attention to detail and accuracy Experience working in an Agile/Scrum environment If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Brief About The Team & Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Responsibilities The Client Partner will play a vital role in managing consulting and analytics engagements in Healthcare & Lifesciences. He / She will be expected to solve business problems, develop analytical solutions, prioritize objectives, assign tasks, and manage multiple teams in order to achieve the highest levels of client satisfaction and targeted financial results. The person additionally will be expected to provide leverage to the management in business development and capability development activities .The person should be open to travel for short durations depending on the project or team requirements. Solutioning: Building on analytics mandate across different functions / departments in healthcare and pharma organizations. Deliver on analytical solutions in HLS domain leveraging deep business understanding and analytical expertise. Strong payer, pharma, med tech and provider domain understanding with US reference and experience working in or with companies across the value chain Preferable knowledge of therapy areas such as Oncology, Rare Disease and/or other specialty pharma areas Knowledge of business process flows, systems and operational procedures and a point of view on best practices which can be used for analysis and recommendations Experience in creating, capturing and/or analyzing the business requirements Experience in leading business discovery sessions to understand and map the existing and desired business processes Program management and prioritization: Lead Fortune 500 client engagements and assignments to ensure successful and timely delivery of output with high quality and in accordance with client's needs and expectations. Analytics Sophistication: Understand the business problem and build the analytical solution framework leveraging advanced analytics algorithms as well as visualization platforms as needed. Produce outcome, generate insights and present findings to the client that meet business requirements. People management: Manage multiple teams, perform performance appraisals and develop career progression metrics. Governance: Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design & review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Business development: Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Qualification & Experience The person must have displayed Analytics delivery excellence and solutioning expertise to healthcare and life sciences clients with increasing span of influence over their careers. This is an opportunity to grow with the growing HLS vertical of Fractal Analytics. Expected to have minimum 20-25 years of work experience in developing and deploying sophisticated analytical solutions. Minimum 15 years in healthcare and life sciences (payers, providers, pharma, med tech) analytics Education: BE / BTech, Masters / Bachelors in Statistics, Economics If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Description As an NLP Lead Data Scientist, you will be building solutions that require analyzing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required Qualifications 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred Qualifications Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Founded in 2000, Fractal Analytics (www.fractal.ai) is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise. Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc. For more information, visit https://fractal.ai/ Position Summary: • Take business problem and build structured analytical approaches to solving, inclusive of identifying needed data, analysis required, and strategy for synthesizing and presenting the analysis results • Design and build analytical solutions to enable recurring analysis of business performance • Effectively scope, size, and plan the development of analytical solutions and set expectations accordingly. • Translate high level business problems into discrete questions that can be answered by using data-driven models • Identify opportunities to improve business performance through use of analytical approaches • Translate output of models into recommendations for how the business can operate differently Collaborative Relationships • Develop and maintain effective working relationships with members of cross-functional teams. • Create a strong partnership with all areas of the organization that require interaction. • Partner with stakeholders to drive implementation of recommendations from analysis • Keep individual, division, and total company goals in mind when making decisions. • Demonstrate and utilize strong communication skills in all interactions. Qualifications & Skills Minimum of 6 years of experience in business consulting, analytics, or a related field, with a proven track record of leading and delivering high-impact projects. Strong analytical and problem-solving skills, with expertise in statistical analysis, machine learning, and data modeling. Excellent communication and interpersonal skills, with the ability to articulate complex concepts to non-technical and senior stakeholders. Story boarding Experience in leading cross functional teams and envisioning + achieving roadmaps independently or via collaboration. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar. Ability to pursue value additions beyond BAU and truly partner with clients. Experience with business intelligence tools (e.g., Tableau, Power BI) and data management platforms. Open for other locations: Gurugram, Noida, Mumbai, Pune, Bengaluru, Chennai If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Founded in 2000, Fractal Analytics (www.fractal.ai) is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise. Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc. For more information, visit https://fractal.ai/ About Fractal Experience Team By prioritizing the user experience, we create solutions that not only utilize innovative technology but also resonate with and enhance the lives of individuals working in large multi-national organizations. We are a multidisciplinary team of 75+ designers, behavior scientists and design researchers spread globally including New York, London, Mumbai, and Bengaluru. Our expertise cuts across disciplines such as Design Research & Strategy, User Experience & Information Design, Behavior Science & Cognitive Neuroscience, and more. Together as an integrated team, we solve problems cohesively by making sense of data, crafting experiences, and influencing people behaviors in a data and AI-driven world. We invite talented User Experience Designers that are passionate about pushing the boundaries of design in this exciting landscape to join us on this transformative journey. Role Description At Fractal Experience, we believe that adoption of every software solution we build is dependent on the experiences we craft for the users. You play a vital role in creating those experiences that make individuals feel right at home while navigating complex AI, analytics, web, and mobile solutions. As part of your role, you will collaborate with cross-functional teams, including data scientists, developers, functional experts, and business stakeholders, to understand user needs, define design objectives, and create engaging and effective user experiences. Your focus will be on creating intuitive and engaging interfaces that enable users to interact with complex data and AI-driven insights seamlessly. Furthermore, you have a knack to understand complex business data and present data in visually compelling manner to enable users gain valuable insights and make business decisions. Collaboration is at the core of our design process. Our designers work closely with cross-functional teams, actively contributing to the continual improvement of our designs. They are adept at partnering with colleagues from various disciplines, fostering effective collaboration and leveraging their expertise to deliver outstanding results. If you are a User Experience designer who thrives in translating complexity into simplicity, crafting engaging user experiences, and working collaboratively in a dynamic environment, we invite you to join our team at Fractal. Key Responsibilities Collaborate with Business Consultants, Data Engineers, and Designers: Work closely with professionals from various disciplines to understand project requirements and conceptualize intuitive solutions. By keeping the user in mind, create pixel-perfect designs that deliver delightful experiences. Lead with user-centricity: Translate people’s needs into design elements and explain the why of your choices to non-design audiences (e.g., clients and technical teammates) Design and Iterate: Employ a range of design techniques and tools, such as sketches, wireframes, information architecture, mock-ups, and user testing to iterate on designs quickly. Adapt to short timeframes while maintaining attention to detail and precision. Effective Communication: Clearly communicate design concepts and ideas to clients and internal stakeholders. Utilize presentations and design artifacts to articulate the rationale behind design decisions, ensuring a shared understanding and alignment. Fractal Design System: Familiarize yourself with the Fractal design system and leverage its components and guidelines to design solutions. Contribute to the enhancement of the design system by providing valuable insights and suggestions based on your expertise and experiences. We are seeking a candidate who possesses the following qualifications: Proven Track Record: Demonstrated experience in creating delightful user experiences for enterprise products or solutions, with a minimum of 2 years of work experience. For a senior role, a minimum of 5-6 years of work experience. Strong Communication Skills: Excellent ability to communicate your design ideas, ensuring clear and effective communication through your design process with stakeholders. Data Visualization Expertise: Proficiency in converting complex data into easyto-understand visuals. Show your skill in presenting data in meaningful and visually appealing ways. Engaging Storytelling: Skill in translating complex abstract ideas into engaging stories using effective visuals. Highlight your ability to craft compelling narratives through your design work. UX Design Essentials: Solid practical knowledge of core user experience principles, keeping up with technological advancements and advancing interaction paradigms in an AI-driven environment. Proficiency in Design Tools: Proficient in working with design tools such as Figma, Adobe XD, or similar software and ability to learn and infuse AI tools in the design process. Attention to Detail: Exceptional attention to detail, ensuring high-quality and pixel-perfect designs. Iterative Mindset: Enthusiasm for iteration and improvement, displaying humility to objectively consider design critique and take prompt action. Self-Motivation and Passion: Self-driven with a genuine passion for the field of UI/UX design and a desire to stay updated with the latest trends and advancements. AI Savvy: Excitement to work in a dynamic environment that is changing everyday with new AI tools that push the design craft and imagination. Exposure to Generative AI tools such as MidJourney, DALL-E, ChatGPT and other similar software to infuse into the designs and design process. Nice-to-Have Skills Enterprise User Experience: Experience designing applications for large enterprise software and multi-national businesses in industries including Healthcare, Insurance, Telecommunications, Technology, CPG & Retail. Design System Familiarity: Experience working with design systems, displaying your understanding of their principles and application. We know not everyone ticks every box, so don’t be discouraged if you aren’t a 100% match. If you have a strong passion for creating visually stunning and engaging designs and want to apply your craft at the intersection of design and data we encourage you to apply. Join our team and contribute to impactful projects in a dynamic and collaborative environment. We value the opportunity to see your work, so please share a link to your portfolio when you apply. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Experience: 7 to 10 years Mandatory Skills: Data Model Design, ER-diagram, Data Warehouse, Data Strategy, Hands on experience in Design and Architecture for enterprise data application. Good to have: Python, PySpark, Databricks, Azure Services(ADLS, ADF, ADB) Good communication and Problem-solving skills. Some understanding on CPG domain. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Consultant: SQL & Python/R Brief About The Team & Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Technical And Domain Expertise Expertise in SQL & Python/R with Statistical techniques and reporting Role The team member is expected to work directly with the client in a fast-paced working environment to address their day-to-day analytics needs. The Indicative Areas Of Work Could Be User Analytics - Understanding user behavior in the app, feature adoption, understanding retention & churn drivers etc., transaction behavior across features, offer & scratch card redemption, impact of email and notifications Marketing measurement - Evaluating effectiveness of marketing campaigns through channels like ATL & performance media Product analytics Responsibilities Client management: Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments The candidate is required to bring in consulting expertise and work closely with the client to identify opportunities for growth and scale the engagement Communicate with the clients and understand their business needs Technical: Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns Harmonize data as required and setup models according to the business logic defined Use statistical tools to identify and evaluate the relationships between data fields, analyze output and determine the next action Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently. Qualifications & Experience Hands on experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R / Python). Hands on experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting Advanced knowledge of SQL is a must Good problem solving & insight generation skills Excellent communication skills with technical and non-technical stakeholders Education B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent Location: Bangalore/Mumbai/Gurgaon If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description The Quality Assurance Engineer will join our team and support the deployment and monitoring of quality standards. The QA Engineer will work with engineers across teams to develop a Quality Assurance framework for the entire organization. As a QA Engineer you will be a part of the Data Management & Platforms team and will help drive quality throughout the entire data product lifecycle through collaboration with product and development teams, development of test cases and automation scripts, and analysis of the system to consistently deliver quality products to downstream consume. Responsibilities Participate within QA teams through management of daily activities, training, and mentoring Collaborate with stakeholders to improve quality standards and testing procedures Develop test plans, test scenarios, test cases and test data for different testing activities Provide definition, implementation, and maintenance of standard QA processes and methodologies for cloud, data, and application engineering efforts Collaborate with Product Owners and UX/UI Designers teams to understand different use cases and develop test plans accordingly Collaborate with Product and Development Leads to develop and implement a testing roadmap for the product Work with development teams to develop quality standards for areas such as test automation, unit, functional, system integration, performance, and user acceptance test phases Own end-to-end QA automation and manual quality assurance processes and execution Define and implement KPI’s to support end-to-end automation in the product development quality life cycle Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing deployment of releases Troubleshoot quality issues and modify test procedures when applicable Qualifications REQUIRED QUALIFICATIONS: 3 to 8 years of software testing experience 3+ years of experience working as a QA Engineer or in a similar capacity Excellent experience in Python automation scripting. Expert in automation testing, creating end to end use cases. Knowledge of QA methodologies, tools, and techniques Knowledge of DevOps principals Experience working in an Agile environment Excellent communication skills and ability to work with the different stakeholders to improve the company’s procedures and to ensure the vision is communicated clearly Previous experience as test automation engineer at various development stages and integrating with CI/CD pipelines (e.g., unit, integration, load tests) Experience with testing API automation testing . Experience with test automation frameworks (Python BDD) Experience with docker containers Analytical thinking, problem-solving skills, and attention to detail Preferred Qualifications QA management experience Experience working with professional software engineering practices and best practices for the full software development life cycle Experience improving product test coverage and effectiveness Experience in Selenium Automation testing using Python, Pytest Education Bachelor’s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. ReBoot is Fractal’s returnship program that is designed to reintegrate people who are rejoining the workforce after a career hiatus of a year of more. ReBoot helps re-joiners reintegrate seamlessly back into the workforce with inclusions like stipends, blended training, immersive experiences, community building and paths to full-time positions. Eligibility: 3-8 years of relevant work experience with a minimum Gap of 1 year and not more than 4 years Fullstack React Python Engineer Job Location: BLR/MUM/GUR/PUNE/CHENNAI/HYD/NOIDA/COIMBATORE Grade: 8/9 About Fractal Fractal is a leading AI & analytics organization. We have a strong Fullstack Team with great leaders accelerating the growth. Our people enjoy a collaborative work environment, exceptional training, and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4/5 and achieve customer NPS of 9/10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. Job Description As a Fullstack (React and Python) Engineer, you would be part of the team consisting of Scrum Master, Cloud Engineers, AI/ML Engineers, and UI/UX Engineers to build end-to-end Data to Decision Systems. You would report to a Senior Fullstack Engineer and your responsibility would be as below- Managing, developing & maintaining the backend and frontend for various Data to Decision projects for our Fortune 500 client. Work closely with the data science & engineering team to integrate the algorithmic output from the backend REST APIs. Work closely with business and product owners to create dynamic infographics with intuitive user controls . Participate in UAT, and diagnose & troubleshoot, bugs and application integration issues. Create and maintain documentation related to the developed processes and applications. Qualification 3 to 8 years of demonstrable experience designing, building, and working as a Fullstack Engineer for enterprise web applications. Expert-level proficiency with JavaScript (ES6), ReactJS,HTML5 & CSS Expert-level proficiency with Python (3.4+), Django (2.1+) or Flask Or Java Familiarity with common databases (RDBMS such as MySQL & NoSQL such as MongoDB) and data warehousing concepts (OLAP, OLTP) Understanding of REST concepts and building/interacting with REST APIs Deep understanding of a few UI concepts: Cross-browser compatibility and implementing responsive web design Hands-on experience with test driven development, using testing libraries like Jest, PyTest and Nose Develop and design RESTful services and APIs Develop functional databases, applications, and servers to support websites on the back end Performance optimization and multithreading concepts Education B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. AWS Data Engineer at Fractal.ai Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner. Experience: 4 to 14 years Location: Mumbai / Bengaluru / Gurgaon/Chennai/Pune Competencies Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success. Characteristics of a forward thinker and self-starter that flourishes with new challenges and adapts quickly to learning new knowledge. Ability to work with a global team of consulting professionals across multiple projects Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those system. Roles & Responsibilities 2 or more years of hands-on experience on the AWS Services, especially AWS Glue. Strong hands-on experience in AWS Glue, automation build-out, integration with other AWS services, using SPARK . Hands-on administrating skill required with AWS Managed Kafka configuration for creating topics, consumer and producer control. Need to review and decompose the existing Java application to be replaced with either a Mule service built by the Mule squad, or Lambda service in Python within the Operational Data squad. Ideally suited to someone who has worked on Java development in past. Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS Work across all phases of SDLC and use Software Engineering principles to build scaled solutions. Be an integral part of large-scale client business development and delivery engagements. Education: -A bachelor’s degree in Computer Science or related field with technology experience If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less