2595 Data Science Jobs - Page 43

Job Title: Data Scientist OpenCV Experience: 23 Years Location: Bangalore Notice Period: Immediate JoinersOnly Job Overview We are looking for a passionate and driven Data Scientistwith a strong foundation in computer vision, image processing, and OpenCV. Thisrole is ideal for professionals with 23 years of experience who are excitedabout working on real-world visual data problems and eager to contribute toimpactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutionsusing OpenCV and Python. Work on tasks including object detection,recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image andvideo datasets to extract actionable insights. Collaborate with senior data scientists andengineers to deploy models into production pipelines. Contribute to research and proof-of-conceptprojects in the field of computer vision and machine learning. Prepare clear documentation for models,experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processingtechniques. Strong coding skills in Python, with familiarityin libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learningand deep learning concepts. Hands-on experience with Jupyter Notebooks;exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, anddebugging skills. Effective communication and collaborationabilities. Preferred Qualifications Bachelor\u2019s degree in computer science, DataScience, Electrical Engineering, or a related field. Practical exposure through internships oracademic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP,Azure) is an added advantage.

Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Must have: Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Must have: Hands-on experience with GCP services for ML & data science Must have: Experience with Vector Search and Hybrid Search techniques Must have: Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Must have: Understanding of semantic vs lexical search paradigms Must have: Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support) Should be proficient in SQL and BigQuery for analytics and feature generation Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches Good to have: Familiarity with Vertex AI Matching Engine for scalable vector retrieval Good to have: Familiarity with TensorFlow Hub, Hugging Face, or other model repositories Good to have: Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems Should understand how to build end-to-end ML pipelines for search and ranking applications Must have: Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR) Should have exposure to CI/CD pipelines and model versioning practices

Junior - IT Recruiter (Domestic) Jobs | 2+ years | Coimbatore, Tamil Nadu(Full-time) Job Description Job Summary: We are seeking a dynamic and experienced Senior IT Recruiter to join our Talent Acquisition team. The ideal candidate will be responsible for driving the recruitment process for our IT department by identifying, attracting, and hiring top-tier technical talent. This role requires deep knowledge of IT recruitment, strong sourcing techniques, and the ability to build strong relationships with hiring managers and candidates alike. Key Responsibilities: Lead end-to-end IT recruitment for technical positions across the organization, including software developers, systems engineers, network specialists, and other technical roles. Partner with hiring managers to understand job requirements, organizational needs, and team dynamics to ensure the selection of the best-fit candidates. Develop and implement innovative sourcing strategies using job boards, social media, direct sourcing, networking, and referrals to build a strong pipeline of qualified candidates. Screen, assess, and interview candidates to evaluate skills, qualifications, and cultural fit. Manage and maintain a comprehensive candidate database and pipeline to ensure a quick and effective recruitment process. Guide candidates through the recruitment process, ensuring a positive and engaging experience from initial contact to onboarding. Provide coaching and mentorship to junior recruiters and recruitment coordinators. Stay up to date on industry trends, IT technologies, and best recruitment practices to effectively attract the best talent. Maintain accurate records and provide regular reports to senior management on recruitment progress, metrics, and pipeline status. Work with the HR team to ensure a seamless handover to onboarding and integration processes. Skills and Qualifications: Bachelors degree in Human Resources, Business, or related field (or equivalent experience). 2+ years of experience in IT recruitment, with a proven track record of hiring technical talent across multiple platforms and technologies. Expertise in sourcing tools such as LinkedIn Recruiter, job boards, Boolean search techniques, and other innovative sourcing channels. Strong knowledge of IT terminology, programming languages, and technical roles (e.g., software engineering, cloud computing, DevOps, data science). Experience with applicant tracking systems (ATS) and other recruitment tools. Exceptional communication, negotiation, and relationship-building skills. Strong understanding of recruitment best practices, labor laws, and compliance. Ability to work in a fast-paced, dynamic environment with competing priorities. Ability to build and maintain strong relationships with candidates, hiring managers, and senior leadership. Proven ability to meet hiring goals and deadlines. Strong organizational skills with attention to detail and a data-driven approach. Preferred Qualifications: Experience working in the technology or software development industry. IT certifications or technical knowledge (e.g., CompTIA, AWS, or Microsoft certifications). Experience with global recruitment and understanding of international hiring practices. Required Knowledge, Skills, and Abilities Whom we are looking for /p Job Summary: br We are seeking a dynamic and experienced Senior IT Recruiter to join our Talent Acquisition team. The ideal candidate will be responsible for driving the recruitment process for our IT department by identifying, attracting, and hiring top-tier technical talent. This role requires deep knowledge of IT recruitment, strong sourcing techniques, and the ability to build strong relationships with hiring managers and candidates alike. br /p p Key Responsibilities: br Lead end-to-end IT recruitment for technical positions across the organization, including software developers, systems engineers, network specialists, and other technical roles. br Partner with hiring managers to understand job requirements, organizational needs, and team dynamics to ensure the selection of the best-fit candidates. br Develop and implement innovative sourcing strategies using job boards, social media, direct sourcing, networking, and referrals to build a strong pipeline of qualified candidates. br Screen, assess, and interview candidates to evaluate skills, qualifications, and cultural fit. br Manage and maintain a comprehensive candidate database and pipeline to ensure a quick and effective recruitment process. br Guide candidates through the recruitment process, ensuring a positive and engaging experience from initial contact to onboarding. br Provide coaching and mentorship to junior recruiters and recruitment coordinators. br Stay up to date on industry trends, IT technologies, and best recruitment practices to effectively attract the best talent. br Maintain accurate records and provide regular reports to senior management on recruitment progress, metrics, and pipeline status. br Work with the HR team to ensure a seamless handover to onboarding and integration processes. br /p p Skills and Qualifications: br Bachelors degree in Human Resources, Business, or related field (or equivalent experience). br 2+ years of experience in IT recruitment, with a proven track record of hiring technical talent across multiple platforms and technologies. br Expertise in sourcing tools such as LinkedIn Recruiter, job boards, Boolean search techniques, and other innovative sourcing channels. br Strong knowledge of IT terminology, programming languages, and technical roles (e.g., software engineering, cloud computing, DevOps, data science). br Experience with applicant tracking systems (ATS) and other recruitment tools. br Exceptional communication, negotiation, and relationship-building skills. br Strong understanding of recruitment best practices, labor laws, and compliance. br Ability to work in a fast-paced, dynamic environment with competing priorities. br Ability to build and maintain strong relationships with candidates, hiring managers, and senior leadership. br Proven ability to meet hiring goals and deadlines. br Strong organizational skills with attention to detail and a data-driven approach. br /p p Preferred Qualifications: br Experience working in the technology or software development industry. br IT certifications or technical knowledge (e.g., CompTIA, AWS, or Microsoft certifications). br Experience with global recruitment and understanding of international hiring practices. br /p

Senior IT recruiter (Domestic) Jobs | 5+ years | Coimbatore, Tamil Nadu(Full-time) Job Description Job Summary: We are seeking a dynamic and experienced Senior IT Recruiter to join our Talent Acquisition team. The ideal candidate will be responsible for driving the recruitment process for our IT department by identifying, attracting, and hiring top-tier technical talent. This role requires deep knowledge of IT recruitment, strong sourcing techniques, and the ability to build strong relationships with hiring managers and candidates alike. Key Responsibilities: Lead end-to-end IT recruitment for technical positions across the organization, including software developers, systems engineers, network specialists, and other technical roles. Partner with hiring managers to understand job requirements, organizational needs, and team dynamics to ensure the selection of the best-fit candidates. Develop and implement innovative sourcing strategies using job boards, social media, direct sourcing, networking, and referrals to build a strong pipeline of qualified candidates. Screen, assess, and interview candidates to evaluate skills, qualifications, and cultural fit. Manage and maintain a comprehensive candidate database and pipeline to ensure a quick and effective recruitment process. Guide candidates through the recruitment process, ensuring a positive and engaging experience from initial contact to onboarding. Provide coaching and mentorship to junior recruiters and recruitment coordinators. Stay up to date on industry trends, IT technologies, and best recruitment practices to effectively attract the best talent. Maintain accurate records and provide regular reports to senior management on recruitment progress, metrics, and pipeline status. Work with the HR team to ensure a seamless handover to onboarding and integration processes. Skills and Qualifications: Bachelors degree in Human Resources, Business, or related field (or equivalent experience). 5+ years of experience in IT recruitment, with a proven track record of hiring technical talent across multiple platforms and technologies. Expertise in sourcing tools such as LinkedIn Recruiter, job boards, Boolean search techniques, and other innovative sourcing channels. Strong knowledge of IT terminology, programming languages, and technical roles (e.g., software engineering, cloud computing, DevOps, data science). Experience with applicant tracking systems (ATS) and other recruitment tools. Exceptional communication, negotiation, and relationship-building skills. Strong understanding of recruitment best practices, labor laws, and compliance. Ability to work in a fast-paced, dynamic environment with competing priorities. Ability to build and maintain strong relationships with candidates, hiring managers, and senior leadership. Proven ability to meet hiring goals and deadlines. Strong organizational skills with attention to detail and a data-driven approach. Preferred Qualifications: Experience working in the technology or software development industry. IT certifications or technical knowledge (e.g., CompTIA, AWS, or Microsoft certifications). Experience with global recruitment and understanding of international hiring practices. Required Knowledge, Skills, and Abilities Whom we are looking for /p Job Summary: br We are seeking a dynamic and experienced Senior IT Recruiter to join our Talent Acquisition team. The ideal candidate will be responsible for driving the recruitment process for our IT department by identifying, attracting, and hiring top-tier technical talent. This role requires deep knowledge of IT recruitment, strong sourcing techniques, and the ability to build strong relationships with hiring managers and candidates alike. br /p p Key Responsibilities: br Lead end-to-end IT recruitment for technical positions across the organization, including software developers, systems engineers, network specialists, and other technical roles. br Partner with hiring managers to understand job requirements, organizational needs, and team dynamics to ensure the selection of the best-fit candidates. br Develop and implement innovative sourcing strategies using job boards, social media, direct sourcing, networking, and referrals to build a strong pipeline of qualified candidates. br Screen, assess, and interview candidates to evaluate skills, qualifications, and cultural fit. br Manage and maintain a comprehensive candidate database and pipeline to ensure a quick and effective recruitment process. br Guide candidates through the recruitment process, ensuring a positive and engaging experience from initial contact to onboarding. br Provide coaching and mentorship to junior recruiters and recruitment coordinators. br Stay up to date on industry trends, IT technologies, and best recruitment practices to effectively attract the best talent. br Maintain accurate records and provide regular reports to senior management on recruitment progress, metrics, and pipeline status. br Work with the HR team to ensure a seamless handover to onboarding and integration processes. br /p p Skills and Qualifications: br Bachelors degree in Human Resources, Business, or related field (or equivalent experience). br 5+ years of experience in IT recruitment, with a proven track record of hiring technical talent across multiple platforms and technologies. br Expertise in sourcing tools such as LinkedIn Recruiter, job boards, Boolean search techniques, and other innovative sourcing channels. br Strong knowledge of IT terminology, programming languages, and technical roles (e.g., software engineering, cloud computing, DevOps, data science). br Experience with applicant tracking systems (ATS) and other recruitment tools. br Exceptional communication, negotiation, and relationship-building skills. br Strong understanding of recruitment best practices, labor laws, and compliance. br Ability to work in a fast-paced, dynamic environment with competing priorities. br Ability to build and maintain strong relationships with candidates, hiring managers, and senior leadership. br Proven ability to meet hiring goals and deadlines. br Strong organizational skills with attention to detail and a data-driven approach. br /p p Preferred Qualifications: br Experience working in the technology or software development industry. br IT certifications or technical knowledge (e.g., CompTIA, AWS, or Microsoft certifications). br Experience with global recruitment and understanding of international hiring practices. br /p

Job Opportunity: Data Scientist- Lead Experience: 5+ Years Mandate Skills: Data Science, Natural Language Processing (NLP) and Large Language model (LLM) landscape, Python, cloud platforms such as AWS, Azure or GCP . Location: Bengaluru, Pune Notice Period: 30 days

Looking for a skilled Senior Data Science Engineer with 6-12 years of experience to lead the development of advanced computer vision models and systems. The ideal candidate will have hands-on experience with state-of-the-art architectures and a deep understanding of the complete ML lifecycle. This position is based in Bengaluru. Roles and Responsibility Lead the development and implementation of computer vision models for tasks such as object detection, tracking, image retrieval, and scene understanding. Design and execute end-to-end pipelines for data preparation, model training, evaluation, and deployment. Perform fine-tuning and transfer learning on large-scale vision-language models to meet application-specific needs. Optimize deep learning models for edge inference (NVIDIA Jetson, TensorRT, OpenVINO) and real-time performance. Develop scalable and maintainable ML pipelines using tools such as MLflow, DVC, and Kubeflow. Automate experimentation and deployment processes using CI/CD workflows. Collaborate cross-functionally with MLOps, backend, and product teams to align technical efforts with business needs. Monitor, debug, and enhance model performance in production environments. Stay up-to-date with the latest trends in CV/AI research and rapidly prototype new ideas for real-world use. Job Requirements 6-7+ years of hands-on experience in data science and machine learning, with at least 4 years focused on computer vision. Strong experience with deep learning frameworks: PyTorch (preferred), TensorFlow, Hugging Face Transformers. In-depth understanding and practical experience with Class-incremental learning and lifelong learning systems. Proficient in Python, including data processing libraries like NumPy, Pandas, and OpenCV. Strong command of version control and reproducibility tools (e.g., MLflow, DVC, Weights & Biases). Experience with training and optimizing models for GPU inference and edge deployment (Jetson, Coral, etc.). Familiarity with ONNX, TensorRT, and model quantization/conversion techniques. Demonstrated ability to analyze and work with large-scale visual datasets in real-time or near-real-time systems. Experience working in fast-paced startup environments with ownership of production AI systems. Exposure to cloud platforms such as AWS (SageMaker, Lambda), GCP, or Azure for ML workflows. Experience with video analytics, real-time inference, and event-based vision systems. Familiarity with monitoring tools for ML systems (e.g., Prometheus, Grafana, Sentry). Prior work in domains such as retail analytics, healthcare, or surveillance/IoT-based CV applications. Contributions to open-source computer vision libraries or publications in top AI/ML conferences (e.g., CVPR, NeurIPS, ICCV). Comfortable mentoring junior engineers and collaborating with cross-functional stakeholders.

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc. ) would be a necessary requirement. Exposure to Cloud technologies (e. g. , Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive / predictive / prescriptive) , Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc. ) would be a necessary requirement. Exposure to Cloud technologies (e. g. , Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append.

Sr. Data Scientist Gurugram (Hybrid) 3 To 6 years + Job Description Apply Ideal qualifications, skills and experiences we are looking for are: We are actively seeking a talented and results-driven Data Scientist to join our team and take ownership of deliverables through the power of data analytics and insights. Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. Doctorate/Master s/bachelor s degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. Minimum of 3 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. Expertise in programming languages such as SQL, Python/PySpark and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings). Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch.

We are seeking a highly skilled AWS MLOps Engineer with a overall experience 5 years with 3 years as ML Engineer particularly in building and managing ML pipelines in AWS. The ideal candidate has successfully built and deployed at least two MLOps projects using Amazon SageMaker or similar services, with a strong foundation in infrastructure as code and a keen understanding of MLOps best practices. Key Responsibilities: Maintain and enhance existing ML pipelines in AWS with a focus on Infrastructure as Code using CloudFormation. Implement minimal but essential pipeline extensions to support ongoing data science workstreams. Document infrastructure usage, architecture, and design using tools like Confluence, GitHub Wikis, and system diagrams. Act as the internal infrastructure expert, collaborating with data scientists to guide and support model deployments. Research and implement optimization strategies for ML workflows and infrastructure. Work independently and collaboratively with cross-functional teams to support ML product deployment and re-platforming initiatives. 5+ years of hands-on DevOps experience with AWS Cloud. Proven experience with at least two MLOps projects deployed using SageMaker or similar AWS services. Strong proficiency in AWS service

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description - Take a problem where technical strategy or approach is defined and come up with the solution design and drives the implementation with a fair level of autonomy including interacting with other SDEs in the same team or peer teams - Reach out for direction proactively in case of ambiguities or constraints - Own the delivery of a major component in a service or a small service entirely as part of a feature delivery - Suggest improvements to processes and methodologies to enhance delivery speed quality - Mentor and guide other WL1 SDEs in the team and help in hiring - Question requirements and challenge where necessary - Identify value of tasks & always work on the highest priority items Programming - Demonstrate a good understanding of at least one major programming language - Understand the framework and enough of the tool ecosystem of the chosen language to implement end to end components with minimal assistance Comfortably produce and refactor code without assistance - Test drive features in programming language of choice - Understand different major language paradigms (OOP/Functional) - Understand presence of abstraction beneath language (JVM/CLR) - Reason about complexity of algorithms (time and space) and code (cyclomatic) - Debug code - Understand and resolve complex issues Design - Identify design patterns in code - Implement design patterns with guidance - Comfortably translate small behaviour requirements into tasks & code - Understand how high-quality code can lead to rapid delivery - Write clean maintainable code - Demonstrate a basic understanding of domains and domain modelling - Seek out and use appropriate abstractions - Understand patterns for integration (events/services) - Understand how to leverage existing functionality outside immediate project - Understand scope of project and when to move behaviour to other services Development Practice - Understand continuous integration and continuous delivery - Demonstrate a working knowledge of CI tooling - Writes tests to ensure CI/CD processes work - Understand BDD / TDD / Performance / Security / Smoke testing Infrastructure - Demonstrate a good working knowledge of one relevant operating system - Script and automate within relevant environment Security - Understand Oauth/Saml & identity models Qualifications Java Springboot Kafka Couchbase Jenkins Engineering best practices Distributed system You will need Refer you will be responsible section

Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today s digital era. Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate. As we embark on an exciting journey of growth and expansion, we are seeking a talented Data Scientist to join our AI team in Hyderabad, India. Seismic AI: AI is one of the fastest-growing product areas in Seismic. We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers. Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud. Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes. Why Join Us: Opportunity to be a key contributor in a rapidly growing company and drive innovation in the SaaS industry. Work with cutting-edge technologies and be at the forefront of AI advancements. Competitive compensation package, including salary, bonus, and equity options. A supportive, inclusive work culture. Professional development opportunities and career growth potential in a dynamic and collaborative environment. Who you are: As a Data scientist I, you will design and develop complex AI applications to build next-gen AI capabilities. You will contribute to high-impact projects and work with cross-functional teams to design, build, and maintain scalable, high-performance models and AI applications that deliver exceptional value to our customers. This position offers a unique opportunity to make an impact on our company s growth and success by bringing AI-powered features to life across our platform, including content discovery, learning and coaching, meeting intelligence and various AI capabilities. This is a hands-on, high-impact role ideal for an individual contributor ready to scale AI in production. If you are a passionate technologist with a strong track record of building AI and data science solutions, and you thrive in a fast-paced, innovative environment, we want to hear from you! What you ll be doing: AI Application Development : Design and develop robust and scalable data science and AI applications, including NLP, classification, retrieval-augmented generation (RAG), and conversational/agentic, and multi-agent systems. Technical Excellence : Demonstrate excellence in various AI engineering aspects and share knowledge across the team. Model Optimization : Design and implement high-performance machine learning models and pipelines. Continuously improve latency, robustness, accuracy, and scalability. Innovation and Technology Adoption : Evaluate and implement new tools, frameworks, and methodologies to improve the efficiency and quality of AI systems. Product Integration : Collaborate with AI engineers, software engineers, and product managers to seamlessly integrate AI features across Seismic s products. Cross-functional Collaboration : Partner with UX, engineering, and product teams to design end-to-end intelligent experiences for our users. Decision-making and Ownership : Provide inputs to make complex decisions within your domain and contribute to strategy. What you bring to the team: Experience : Bachelor s degree and 1-2 years of experience, or an advanced degree (Master s or PhD) in data science or AI. Technical Expertise : Deep knowledge of AI and data science, including Generative AI, LLMs (OpenAI, Azure, Google, open-source), RAG pipelines, prompt engineering, NLP, and image models. Strong proficiency in Python, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. Hands-on experience with HuggingFace, LangChain, and cloud-native AI services. Cloud Expertise : Experience with AWS, Azure, or GCP for model training, deployment, and data workflows. Familiarity with MLOps and model lifecycle management in production environments. Product Thinking : Ability to translate complex business challenges into technical solutions that scale. Proven track record of delivering AI-powered features from concept to production. Education: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Other Skills : Excellent communication and collaboration skills. Strong articulation skills and a thoughtful, data-driven approach to solving problems. Experience working in a fast-paced SaaS or tech-driven environment. What we have for you: At Seismic, we re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page .

Senior Engineer-NLP: Elevate Your Impact Through learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. A bout Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time What were Looking for At least a bachelors /master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement About 38 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level Demonstrated ability in developing NLP / ML / DL / generative AI project solutions here Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Huggingface Transformers Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances.

Employment type: Freelance, Project Based What this is about: At e2f, we offer an array of remote opportunities to work on compelling projects aimed at enhancing AI capabilities As a significant team member, you will help shape the future of AI-driven solutions We value your skills and domain expertise, offering competitive compensation and flexible working arrangements We are looking for an experienced Data Analyst with a strong background in SPARQL for a project-based position The ideal candidate will be responsible for writing, reviewing, and optimizing the queries to extract valuable insights from our knowledge base Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field Proven experience with SPARQL Familiarity with Cypher query languages Expertise in Knowledge Graphs Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to prioritize and manage workload efficiently Understanding of and adherence to project guidelines and policies Responsibilities: You can commit a minimum of 4 hours per day Flexible schedule (You can split your hours as you prefer) Participate in a training meeting Adhere to deadlines and guideline standards What We Offer: Engage in exciting generative AI development from the convenience of your home Enjoy flexible work hours and availability If you're interested: Apply to our job advertisement We'll review your profile and, if it aligns with our search, we will contact you as soon as possible to share rates and further details About Us: e2f is dedicated to facilitating natural communication between people and machines across languages and cultures With expertise in data science, we provide top-tier linguistic datasets for AI and NLP projects Know more here: www e2f com Show more Show less

BIZMETRIC INDIA PRIVATE LIMITED is looking for DS / ML / Time-Series Engineer to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration:Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes Learning Certification Opportunities: Enhance your professional growth. Comprehensive Medical Coverage and Life Insurance: For your we'll-being. Flexible Work Environment: Enjoy a 5-day work week. Collaborative Culture: Be part of a fun, innovative workplace. Job Description: Python, Data Science, Azure Databricks, Machine Learning

We are seeking a Data Scientist to join our data science team in Bangalore. This individual contributor role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them. Key responsibilities include: 1. Develop and implement machine learning models, perform data analysis, and create predictive models to support the Client Services teams. 2. Collaborate with team members and stakeholders to understand their data science needs and design solutions in collaboration/guidance from team members. 3. Conduct research to identify new methods and techniques to improve existing models. 4. Create visualizations to communicate complex data and insights in a clear and effective manner. 5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation. 6. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results Basic Qualifications Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications Bachelors degree, OR 3+ years of relevant work experience 1 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD) in data science, machine learning, AI, or a related field. Proficient in Python, R, SQL, and other data science tools. Knowledge of big data platforms like Hadoop, Spark, or similar technologies. Knowledgeable in machine learning, generative AI techniques and algorithms. Familiarity with Large Language Models such as OpenAIs GPT-3, and open-source models like Falcon or Llama2. Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models. Excellent problem-solving skills and ability to think critically. Strong communication skills to clearly articulate the message with team members and stakeholders Knowledge of cloud platforms like AWS, GCP, or Azure is good to have. Familiarity with data visualization tools like Tableau, PowerBI, or similar. Ability to work in a team and independently as required. Familiarity with containerization technologies like Docker or Kubernetes.

Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Purpose of the Role: The successful candidate will be responsible to manage AI/ML model risk, specifically associated to the next generation Machine Learning based models for credit and fraud risk. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened supervisory expectations. The specific responsibilities include : Conduct independent research and oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for credit, fraud or other business/ risk types. Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact. Communicating results to stakeholders, senior leadership and model committees Bring in external perspective around industry GSIB practices, to strengthen model risk management at American Express Critical Factors to Success: 1.Business Outcomes: Regulatory Agility: Anticipates evolving guidelines, adapts swiftly, and collaborates with regulators to shape effective risk management practices. Adaptive Resilience: To become an agile partner that anticipates risk through independent monitoring, adapts swiftly and ensures models remain robust and relevant. Holistic Integration: To break down silos and integrate MRM seamlessly across the organization by bringing along stakeholders. Continue to support and effectively engage with our first line business units as trusted advisors while also providing independent and credible challenge. Innovation: To create an innovation hub, that leads with external perspective and proactively identifies model risk in the system (publishing white papers on the same). Create the next generation of core capabilities and technological advancements that will foster innovation. Business success: Build a robust model risk management framework, appetite and strategy ensuring they accurately reflect firm s strategy, desired business outcomes and that the company remains within its risk appetite 2. Leadership Outcomes: Develop and executes a vision to strengthen model risk management for credit and fraud risk models for American Express Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Forward looking: To foster a culture that proactively anticipates future developments and draws insights from external perspectives. Bring in external perspective around industry GSIB practices, to strengthen model risk management at American Express Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a mindset of establishing excellence in model risk management practices Coach and develop a batch of strong model risk managers, and people leaders Experience: Preferred at least 6-7 years experience in model risk management, data science, and machine learning. Academic Background: Preferred masters degree in economics, Statistics, Machine learning, Data science Or Related Fields from Top Tier Institute. Key Functional, Technical and Leadership Skills/Capabilities: Clear understanding of AI/ML model risk management controls/practices. Strong grasp around regulatory supervisories for model risk management, and industry perspective Hands-on AI/ML model validation and preferably AI/ML model development experience. Experience in applying advanced statistical and/or quantitative techniques to solve business problems. Strong experience/ expertise with data science tools and AI/ML model development algorithms. Ability to manage key stakeholders and partners and drive agenda. Strong project management skills for driving model validation initiatives. Ability and track record to drive innovation and defining what winning looks like. Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. Ability and track record to bring others along with you, to drive and deliver on key initiatives. Willingness and ability to effectively collaborate with Cross-Functional teams to drive validation and Project Execution. Flexibility and adaptability to work within tight deadlines and changing priorities in a dynamic environment. Ability to make quick decisions after close and effective review of data and business outcomes. Ability and experience in nurturing and developing strong talent pipeline.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Engage with project activities across the Information lifecycle, often related to paradigms like -Building & managing Business data lakes and ingesting data streams to prepare data,Developing machine learning and predictive models to analyze data, Visualizing data ,Empowering Information consumers with agile Data Models that enable Self-Service BI,Specialize in Business Models and architectures across various Industry verticals Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams, document detailed business requirements, develop solution design and specifications Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Strong communication, facilitation, relationship-building, presentation, and negotiation skills Consultant must have a flair for storytelling and be able to present interesting insights from the data. Consultant should have good Soft skills like good communication, proactive, self-learning skills etc Consultants are expected to be flexible to the dynamically changing needs of the industry. Must have good exposure to Database management systems, Good to have knowledge about big data ecosystem like Hadoop. Hands on with SQL and good knowledge of noSQL based databases. Good to have working knowledge of R/Python language. Exposure to / Knowledge about one of the cloud ecosystems Google / AWS/ Azure What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Contribute to the capacity of a Scrum Master/data business analyst to Data project Act as an agile coach, implementing and supporting agile principles, practices and rules of the scrum process and other rules that the team has agreed upon Knowledge of different framework like Scrum, Kanban, XP etc. Drive tactical, consistent team-level improvement as part of the scrum. Work closely with Product owner to get the priority by business value, work is aligned with objectives and drive the health of product backlog. Facilitate the scrum ceremonies and analyze the sprint report, burn down charts to identify the areas of improvement Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis. Engage with project activities across the Information lifecycle, often related to paradigms like -Building & managing Business data lakes and ingesting data streams to prepare data, Developing machine learning and predictive models to analyse data, Visualizing data, Specialize in Business Models and architectures across various Industry verticals. Your Profile Proven working experience as a Scrum Master/Data Business Analyst with overall experience of min 5 to 9+ years Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT Independently able to work with Product Management team and prepare Functional Analysis, User Stories Experience in technical writing skills to create BRD , FSD, Non-functional Requirement document, User Manual &Use Cases Specifications Comprehensive & solid experience of SCRUM as well as SDLC methodologies Experience in Azure DevOps/JIRA/Confluence or equivalent system and possess strong knowledge of the other agile frameworks Excellent meeting moderation and facilitation skills CSM/PSM 1 or 2 certified is mandate; SAFe 5.0 /6.0 is a plus Strong stakeholder management skills Good to have knowledge about big data ecosystem like Hadoop. Good to have working knowledge of R/Python language What you will love working about here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle, often related to paradigms like -Building & managing Business data lakes and ingesting data streams to prepare data , Developing machine learning and predictive models to analyse data ,Visualizing data ,empowering Information consumers with agile Data Models that enable Self-Service BI , Specialize in Business Models and architectures across various Industry verticals Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams ,Document detailed business requirements, develop solution design and specifications. Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis Work closely with the solutions architecture team to define the target detailed solution to deliver the business requirements. Your Profile Proven working experience as a Data Business Analyst or Business Analyst with overall experience of min 5 to 9+ years Business analyst with Data background is preferred Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT Strong knowledge of database languages such as SQL and ETL frameworks; spreadsheet tools such as Microsoft Excel; and data visualization software such as Power BI, Tableau, Qlik Independently able to work with Product Management team and prepare Functional Analysis, User Stories Experience in technical writing skills to create BRD, FSD, Non-functional Requirement document, User Manual &Use Cases Specifications Comprehensive & solid experience of SCRUM as well as SDLC methodologies Experience in JIRA/Confluence and possess strong knowledge of the Scrum framework as well as other Agile frameworks such as Kanban, Crystal, XP, etc Strong stakeholder management skills Consultant must have a flair for storytelling and be able to present interesting insights from the data. Must have good exposure to Database management systems, Hands on with SQL and good knowledge of noSQL based databases,Good to have working knowledge of R/Python language. What you will love working about here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Overview We are seeking a highly motivated Data Analyst with strong technical and analytical skills to join our ADAS (Advanced Driver Assistance Systems) team. This role involves working with large-scale data from vehicle systems to drive insights, support data science initiatives, and contribute to the development of safer and smarter automotive technologies. Responsibilities: Perform data cleansing, aggregation, and analysis on large, complex datasets related to ADAS components and systems. Build, maintain, and update dashboards and data visualizations to communicate insights effectively (Power BI preferred). Develop and optimize data pipelines and ETL processes. Create and maintain technical documentation, including data catalogs and process documentation. Collaborate with cross-functional teams including data scientists, software engineers, and system engineers. Contribute actively to the internal data science community by sharing knowledge, tools, and best practices. Work independently on assigned projects, managing priorities and delivering results in a dynamic, unstructured environment. Required Qualifications: Bachelors degree or higher in Computer Science, Data Science, or a related field. Minimum 3 years of experience in the IT industry, with at least 2 years in data analytics or data engineering roles. Proficient in Python or Pyspark with solid software development fundamentals. Strong experience with SQL and relational databases. Hands-on experience with data science, data engineering, or machine learning techniques. Knowledge of data modeling, data warehousing concepts, and ETL processes. Familiarity with data visualization tools (Power BI preferred). Basic understanding of cloud platforms such as Azure or AWS. Fundamental knowledge of ADAS functionalities is a plus. Strong problem-solving skills, self-driven attitude, and the ability to manage projects independently. Preferred Skills: Experience in automotive data or working with sensor data (e.g., radar, lidar, cameras). Familiarity with agile development methodologies. Understanding of big data tools and platforms such as Databricks or Spark. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.