339 Dask Jobs

Job requisition ID :: 88977 Date: Sep 15, 2025 Location: Delhi Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Today’s business challenges present a new wave of HR, talent and organization priorities. Deloitte’s Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business-driven HR to innovative talent, leadership, and change programs. Your work profile As a Consultant in our SuccessFactors Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - As a practitioner, within the Human Resource Transformation, the Individual will be responsible to implement the system in a global setup and will help configure, implement, and provide production/warranty support. Job role Title: Data Scientist Domain: Digital Government Experience: 3+ Years Education: BE/ BTech/ MCA Notice Period : Immediate to 30 days Job Role Data Scientist (great at Computer Vision and regular AI/ML (tabular data) Professional experience as ML Engineer/Data Scientist: Experience can be in machine learning, deep learning, data modelling, optimization algorithms, network analysis, in professional and production settings for multiple projects. Professional experience of using either PyTorch, Tensorflow, or Keras. Strong proficiency in wrangling datasets through Pandas, Dask or other Python based data science libraries. Strong fundamentals in solving analytical problems with various algorithmic solutions. Demonstrable experience in end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Location and way of working Location: Delhi (Work from Office – 5 days) Your role as a Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Consultant across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

You Will Get To Design, build, and maintain high-performance data pipelines that integrate large-scale transactional data from our payments platform, ensuring data quality, reliability, and compliance with regulatory requirements. Develop and manage distributed data processing pipelines for both high-volume data streams and batch processing workflows in a cloud-native AWS environment. Implement observability and monitoring tools to ensure the reliability and scalability of the data platform, enabling stakeholders to make confident, data-driven decisions. Collaborate with cross-functional teams to gather requirements and deliver business-critical data solutions, including automation of payment transactions lifecycle management, regulatory reporting, and compliance. Design and implement data models across various storage paradigms to support payment transactions at scale while ensuring efficient data ingestion, transformation, and storage. Maintain data integrity by implementing robust validation, testing, and error-handling mechanisms within data workflows. Ensure that the data platform adheres to the highest standards for security, privacy, and governance. Provide mentorship and guidance to junior engineers, driving innovation, best practices, and continuous improvement across the : 4-6 years of experience in backend development and/or data platform engineering. Proficiency in Python, with hands-on experience using data-focused libraries such as NumPy, Pandas, SQLAlchemy, and Pandera to build high-quality data pipelines. Strong expertise in AWS services (S3, Redshift, Lambda, Glue, Kinesis, etc.) for cloud-based data infrastructure and processing. Experience with multiple data storage models, including relational, columnar, and time-series databases. Proven ability to design and implement scalable, reliable, and high-performance data workflows, ensuring data integrity, performance, and availability. Experience with workflow orchestrators such as Apache Airflow or Argo Workflows for scheduling and automating data pipelines. Familiarity with Python-based data stack tools like DBT, Dask, Ray, Modin, and Pandas for distributed data processing. Hands-on experience with data ingestion, cataloging, and change-data-capture (CDC) tools. Understanding of DataOps and DevSecOps practices to ensure secure and efficient data pipeline development and deployment. Strong collaboration, communication, and problem-solving skills, with the ability to work effectively across multiple teams and geographies. Experience in payments or fintech platforms is a strong plus, particularly in processing high volumes of transactional data. (ref:hirist.tech)

Job requisition ID :: 88977 Date: Sep 15, 2025 Location: Delhi Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Today’s business challenges present a new wave of HR, talent and organization priorities. Deloitte’s Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business-driven HR to innovative talent, leadership, and change programs. Your work profile As a Consultant in our SuccessFactors Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - As a practitioner, within the Human Resource Transformation, the Individual will be responsible to implement the system in a global setup and will help configure, implement, and provide production/warranty support. Job role Title: Data Scientist Domain: Digital Government Experience: 3+ Years Education: BE/ BTech/ MCA Notice Period : Immediate to 30 days Job Role Data Scientist (great at Computer Vision and regular AI/ML (tabular data) Professional experience as ML Engineer/Data Scientist: Experience can be in machine learning, deep learning, data modelling, optimization algorithms, network analysis, in professional and production settings for multiple projects. Professional experience of using either PyTorch, Tensorflow, or Keras. Strong proficiency in wrangling datasets through Pandas, Dask or other Python based data science libraries. Strong fundamentals in solving analytical problems with various algorithmic solutions. Demonstrable experience in end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Location and way of working Location: Delhi (Work from Office – 5 days) Your role as a Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Consultant across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Oversees the documentation of all development activity. Trains non-technical personnel. Assists with tracking performance metrics. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Key Responsibilities Design and Implement Anomaly Detection Systems Develop models to identify unusual patterns in structured and unstructured data. Monitor and refine detection systems for accuracy and scalability. Architect and Optimize Data Pipelines Design and execute data strategy, architecture and management programs aligned with organizational priorities. Lead the design of scalable, fault-tolerant data pipelines for batch and streaming data. Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency. Handle Large-Scale Data Ensure efficient data ingestion, transformation, and storage across diverse sources. Work with high-volume datasets using distributed computing frameworks. Ensure data quality, consistency, and accessibility for downstream analytics. Build and Deploy NLP Solutions Apply NLP techniques for text classification, entity recognition, summarization, and sentiment analysis. Fine-tune transformer-based models (e.g., BERT, GPT) for domain-specific tasks. Develop Generative AI Applications Work with LLMs and diffusion models to build intelligent assistants, content generators, or summarization tools. Optimize prompt engineering and model fine-tuning for performance and relevance. Collaborate Across Teams Partner with engineering, product, and business teams to translate requirements into data-driven solutions. Communicate findings and recommendations clearly to technical and non-technical stakeholders. Required Technical Skills Languages: Python (must), SQL; familiarity with NoSQL is a plus. Libraries/Frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, SpaCy, LangChain Big Data Tools: Spark, Hadoop, Dask or Ray Cloud Platforms: Any cloud Data Pipeline Tools: Apache Airflow, MLflow. Version Control & DevOps: Git, Docker, Optional [Kubernetes, CI/CD tools] Core Responsibilities Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs. Designs new software and web applications, supports applications under development and customizes current applications. Develops software update process for existing applications. Assists in the roll-out of software releases. Trains junior Software Development Engineers on internally developed software applications. Oversees the researching, writing and editing of documentation and technical requirements, including evaluation plans, test results, technical manuals and formal recommendations and reports. Keeps current with technological developments within the industry. Monitors and evaluates competitive applications and products. Reviews literature, patents and current practices relevant to the solution of assigned projects. Provides technical leadership throughout the design process and guidance with regards to practices, procedures and techniques. Serves as a guide and mentor for junior level Software Development Engineers. Assists in tracking and evaluating performance metrics. Ensures team delivers software on time, to specification and within budget. Works with Quality Assurance team to determine if applications fit specification and technical requirements. Displays expertise in knowledge of engineering methodologies, concepts and skills and their application in the area of specified engineering specialty. Displays expertise in process design and redesign skills. Presents and defends architectural, design and technical choices to internal audiences. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. Other duties and responsibilities as assigned. Employees At All Levels Are Expected To Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our customers, investors and our communities. Disclaimer This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years

As an AI/ML Developer, you will be responsible for utilizing programming languages such as Python for AI/ML development. Your proficiency in libraries like NumPy, Pandas for data manipulation, Matplotlib, Seaborn, Plotly for data visualization, and Scikit-learn for classical ML algorithms will be crucial. Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications. Your role will involve building models using Machine Learning & Deep Learning Frameworks such as TensorFlow and Keras for deep learning, PyTorch for research-grade and production-ready models, and XGBoost, LightGBM, or CatBoost for gradient boosting. Understanding model training, validation, hyperparameter tuning, and evaluation metrics like ROC-AUC, F1-score, precision/recall will be essential. In the field of Natural Language Processing (NLP), you will work with text preprocessing techniques like tokenization, stemming, lemmatization, vectorization techniques such as TF-IDF, Word2Vec, GloVe, and Transformer-based models like BERT, GPT, T5 using Hugging Face Transformers. Experience with text classification, named entity recognition (NER), question answering, or chatbot development will be required. For Computer Vision (CV), your experience with image classification, object detection, segmentation, and libraries like OpenCV, Pillow, and Albumentations will be utilized. Proficiency in pretrained models (e.g., ResNet, YOLO, EfficientNet) and transfer learning is expected. You will also handle Data Engineering & Pipelines by building and managing data ingestion and preprocessing pipelines using tools like Apache Airflow, Luigi, Pandas, Dask. Experience with structured (CSV, SQL) and unstructured (text, images, audio) data will be beneficial. Furthermore, your role will involve Model Deployment & MLOps where you will deploy models as REST APIs using Flask, FastAPI, or Django, batch jobs, or real-time inference services. Familiarity with Docker for containerization, Kubernetes for orchestration, and MLflow, Kubeflow, or SageMaker for model tracking and lifecycle management will be necessary. In addition, your hands-on experience with at least one cloud provider such as AWS (S3, EC2, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), or Azure (Machine Learning Studio, Blob Storage) will be required. Understanding cloud storage, compute services, and cost optimization is essential. Your proficiency in SQL for querying relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and familiarity with big data tools like Apache Spark, Hadoop, or Databricks will be valuable. Experience with Git and platforms like GitHub, GitLab, or Bitbucket will be essential for Version Control & Collaboration. Familiarity with Agile/Scrum methodologies and tools like JIRA, Trello, or Asana will also be beneficial. Moreover, you will be responsible for writing unit tests and integration tests for ML code and using tools like pytest, unittest, and debuggers to ensure the quality of the code. This position is Full-time and Permanent with benefits including Provident Fund and Work from home option. The work location is in person.,

KEY ACCOUNTABILITIES • Work in Agile development approach, and participate in the scoping the project and timelines • Own the delivery and manage expectations with stakeholders for their module/application • Work closely with architects and other team members to formulate and execute project plans • Drive from concept to delivery adhering to quality standards and timelines amidst ambiguous inputs • Manage cross functional teams consisting of developers, vendors, and business users. • Resolve conflicts and drive issues to resolution • Lead the delivery independently with minimal supervision ensuring high level of efficiency QUALIFICATIONS, EXPERIENCE, & COMPETENCIES • BE/B.Tech(CSE, Electronics preferred) and 7+ Years of relevant experience • Solid understanding and experience in Agile SDLC approach • Strong experience in building scalable applications in Python, Flask, Dask, Celery, and PySpark • Understanding and/or basic working experience in front end technologies - ReactJS • Experience working with API Gateways (NGINX preferred) and AD authentication • Experience in testing frameworks (Junit/Mockito or Selenium/Cucumber) • Working experience in Angular. • Experience working with SQL/NoSQL databases (Postgres, CouchDB preferred) design and queries • Experience working with any messaging system (KAFKA preferred), Docker, and Kubernetes • Working knowledge of Azure or AWS cloud, Kubernetes • Clear understanding of CS Algorithms and design patterns • Good project management skills including planning, risk management, and issue resolution • Excellent leadership and communication skills Interviews in Chennai – Positions : Python Interview Dates : (Tentative 20th September Saturday) Years of experience - 4-12 Years Preferences – previous experience in BFSI, NBFC, MFI or in fintech organization. Time : 20 Sept Venue : will be informed shortly ( Chennai) Eligibility Criteria: BE/ B. Tech only. Sahiba 8296043355

Walk-In Interviews in Chennai – Positions: Java/Python Interview Dates:Tentative 20th September Years of experience - 4-12 Years Preferences previous experience in BFSI, NBFC, MFI or in fintech organization. Eligibility Criteria: BE/ B. Tech

Job Role: Lead Data Scientist Job Location: Jaipur Job Type: Permanent Experience Required: 5+ years Job Summary: We are looking for an experienced Lead Data Scientist to head our AI and Machine Learning initiatives. This role is perfect for a professional who can drive innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems while also providing technical leadership and strategic direction to a team of data scientists. The Lead Data Scientist will be responsible for overseeing model development, optimizing AI-driven solutions, mentoring junior team members, and collaborating with key stakeholders to align AI strategies with business goals. The ideal candidate should possess deep expertise in NLP, Large Language Models (LLMs), Generative AI, and MLOps to lead the development of scalable AI-driven solutions. Responsibilities: • Define and drive the AI/ML strategy with alignment with business objectives. • Lead the research, design, and development of cutting-edge machine learning and deep learning models, including LLMs, GANs, VAEs, Transformers, CNNs, and RNNs. • Establish best practices for data pipelines, feature engineering, model deployment, and AI governance. • Evaluate emerging AI/ML technologies and recommend their adoption where beneficial. • Architect and implement Generative AI solutions with a focus on improving conversational AI experiences. • Optimize LLMs (GPT, BERT, T5, etc.) for various business applications, including prompt engineering, fine-tuning, and model interpretability. • Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems. • Oversee end-to-end model lifecycle, from data collection and preprocessing to model deployment and monitoring. • Implement MLOps best practices to streamline model retraining, CI/CD for ML pipelines, and productionization. • Optimize models using hyperparameter tuning techniques such as grid search, Bayesian optimization, and neural architecture search. • Lead and mentor a team of data scientists and ML engineers • Conduct code reviews, design discussions, and knowledge-sharing sessions. • Guide junior team members on best practices in data science, deep learning, and software engineering. • Partner with engineering, product management, and business stakeholders to integrate AI solutions into production. Qualifications & Experience: • Educational Background: Bachelor's or Master’s in Computer Science, Data Science, AI, Statistics, or a related field. • Experience: 5+ years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications. • Machine Learning & AI: Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.). • LLM & NLP Expertise: Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy. • Programming & Tools: Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.). • Big Data & Cloud: Experience working with large-scale datasets, cloud-based AI solutions (AWS, Azure, GCP), and distributed computing frameworks (Spark, Dask, Hadoop). • Model Deployment: Strong understanding of APIs, CI/CD pipelines for ML models, containerization (Docker, Kubernetes), and model monitoring. Soft Skills & Leadership: • Strong leadership skills with the ability to mentor and develop junior data scientists. • Exceptional problem-solving and critical-thinking abilities. • Strong communication skills to effectively convey complex AI concepts to business stakeholders. • Proactive ownership of projects, ensuring timely delivery and alignment with business needs. • Ability to manage multiple projects and prioritize effectively in a fast-paced environment. Interested Candidate Can share cv at sulabh.tailang@Celebaltech.com

An ideal candidate for the role of AI Engineer should have 5 to 10 years of experience, as we are constructing an AI-powered workforce intelligence platform aimed at assisting businesses in optimizing talent strategies, enhancing decision-making processes, and boosting operational efficiency. Our software utilizes cutting-edge AI, NLP, and data science methodologies to extract valuable insights from extensive amounts of structured and unstructured workforce data. Joining our new AI team will provide you with the chance to engage in real-world AI applications, contribute to innovative NLP solutions, and acquire experience in developing AI-driven products from the foundation. You should possess the following skills and qualifications: - Strong proficiency in Python programming - 5-10 years of experience in Data Science/NLP (Freshers with robust NLP projects are encouraged) - Competency in Python, PyTorch, Scikit-learn, and NLP libraries such as NLTK, SpaCy, Hugging Face - Basic understanding of cloud platforms like AWS, GCP, or Azure - Expertise in Retrieval, Machine Learning, Artificial Intelligence, Generative AI, Semantic search, Reranking & evaluating search performance - Hands-on experience with SQL for data manipulation and analysis - Assisting in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikitlearn, and Transformer models (BERT, GPT, etc) - Familiarity with MLOps tools like Airflow, MLflow, or similar - Experience in Big Data processing using tools like Spark, Pandas, or Dask - Aiding in the deployment of AI/ML solutions on AWS, GCP, or Azure - Collaborating with engineers to integrate AI models into production systems - Proficiency in using SQL and Python to clean, preprocess, and analyze large datasets - Keeping abreast of the latest advancements in NLP, AI, and ML frameworks - Strong analytical and problem-solving abilities - Eagerness to learn, experiment, and take ownership in a fast-paced startup setting Desirable qualities in a candidate include a desire for professional growth within the company, being a team player, quick learner, performance-driven, possessing strong networking and outreach skills, having a curious and innovative attitude, excellent communication and collaboration skills, determined to achieve results, critical and analytical thinking skills with attention to detail, demonstrating ownership and striving for excellence, maintaining a high level of curiosity towards new technologies, being adept at picking up new software, and representing oneself effectively during customer meetings. Our company offers a competitive salary, a comprehensive benefits package, a hybrid or remote work setup prioritizing work-life balance, continuous learning opportunities for career advancement, a dynamic and inclusive workplace recognizing and rewarding contributions, transparent policies, open communication, and a supportive work environment fostering individual growth. Predigle, an EsperGroup company, focuses on developing disruptive technology platforms to revolutionize daily business operations. Predigle offers various products and services, with Predigle Intelligence (Pi) being a comprehensive portable AI platform providing a low-code/no-code AI design solution for business problem-solving.,

About Us Jar is India’s leading Daily Saving app that helps people build strong saving habits—one small step at a time. Our goal is to make saving simple, rewarding, and truly life-changing. Founded in 2021 by Misbah Ashraf and Nishchay AG, Jar is a Bengaluru-based startup with one simple belief: saving a little every day in 24K Digital Gold can truly transform your future. Today, 20 million+ Indians trust Jar as their saving partner. With flexible saving options—Daily, Weekly, Monthly, and Instant Saving—we have made it easy for everyone to save in their own way and withdraw anytime. We are one of the leaders in UPI autopay transactions, crossing more than 1 million transactions per day. In 2023, we expanded our vision with Nek, our jewelry brand crafted to bring together luxury and affordability, it has since surpassed ₹100 crore in revenue. We have a big dream of bringing “Har Ghar Sona”. Small, consistent savings are just the start. We’re here to walk alongside our users, helping Indians secure their financial future every step of the way. Backed by Tiger Global Management, Arkam Ventures, and WEH Ventures, among others, we have raised $50 million+ in funding. In January 2025, we hit a huge milestone of becoming profitable. Now, we’re charging ahead, focused on sustainable growth and scaling impact. And this is just the beginning! What’s the role? As a Data Analyst - 1, you will be responsible for analyzing data to generate insights, building dashboards, and supporting decision-making across acquisition, retention and product performance. You will work closely with senior analysts, product managers, and business stakeholders to ensure accurate tracking, reporting, and data-driven recommendations. What will be your responsibilities? Perform data analysis and reporting on customer acquisition, retention, churn, and transactions. Build, maintain, and automate dashboards and reports for business stakeholders. Conduct deep dives into structured and unstructured data to identify trends, anomalies, and actionable insights. Support Root Cause Analysis (RCA) for business metric changes and provide recommendations. Partner with product and business teams to define, track, and measure key performance indicators (KPIs). Assist in A/B experiments, feature evaluations, and campaign analysis. Ensure data accuracy, consistency, and completeness across reporting pipelines. Collaborate with engineers and analysts to improve data quality and infrastructure. What’s required from you? Bachelor’s degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or related field. 1–3 years of experience in a data analytics role, preferably in fintech, e-commerce, or consumer tech. Strong proficiency in Python & MongoDb for data analysis, including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, Dask, Statsmodels, Re(regular expressions for text cleaning), textblob (sentiment analysis & text processing) & Automations. Object oriented programming is a plus. SQL: Expertise in writing complex sql (postgres) queries for data extraction, transformation, and reporting. Process, clean, and wrangle large datasets using Python to ensure data quality and readiness for analysis. Strong understanding of Excel/Google Sheets for quick ad-hoc analysis. Experience working with large, structured/unstructured datasets. Visualization Tools: Data Exploration and Visualisation with tools like Amplitude, Clevertap, MS Excel, Tableau, Power BI, etc. Familiarity with A/B testing frameworks and statistical concepts. Strong analytical thinking, problem-solving skills, and attention to detail. Good communication skills to explain insights to non-technical stakeholders. What makes us different? We’re not just building a product—we’re shaping the future of savings in India. We seek people who bring passion, energy, and fresh ideas to help us make that happen. Experience matters, but we are a potential first organisation. We move fast, learn from our mistakes, and take bold risks to solve problems that haven’t been attempted before. If you’re excited about working in an environment where people inspire and truly support each other, you’ve found the right fit. What do we stand for? The five values that we live by : Passion: At Jar, we strive to create an environment where people love what they do, are motivated and equipped to do their best work. Equality: We bring diverse skills, ideas, and experiences to the table, supporting and challenging each other across teams to create something bigger than ourselves. Growth: When our people grow, Jar grows. We create opportunities for learning, development, and meaningful impact. Accountability: The core of our work ethic is taking ownership of our work, showing initiative, and having the freedom to ask questions. Consistency: We believe in doing the right things consistently. Big change doesn’t happen overnight, it’s built one step at a time. Join us and let’s build something amazing together! What employee benefits do we have? Glad you asked! Among other things, we have Medical Insurance for employees and their families ESOPs allocation Pluxee meal card Swish club card for exclusive employee discounts Advance salary plans Relocation assistance L&D programmes

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

KEY ACCOUNTABILITIES • Work in Agile development approach, and participate in the scoping the project and timelines • Own the delivery and manage expectations with stakeholders for their module/application • Work closely with architects and other team members to formulate and execute project plans • Drive from concept to delivery adhering to quality standards and timelines amidst ambiguous inputs • Manage cross functional teams consisting of developers, vendors, and business users. • Resolve conflicts and drive issues to resolution • Lead the delivery independently with minimal supervision ensuring high level of efficiency QUALIFICATIONS, EXPERIENCE, & COMPETENCIES • BE/B.Tech(CSE, Electronics preferred) and 7+ Years of relevant experience • Solid understanding and experience in Agile SDLC approach • Strong experience in building scalable applications in Python, Flask, Dask, Celery, and PySpark • Understanding and/or basic working experience in front end technologies - ReactJS • Experience working with API Gateways (NGINX preferred) and AD authentication • Experience in testing frameworks (Junit/Mockito or Selenium/Cucumber) • Working experience in Angular. • Experience working with SQL/NoSQL databases (Postgres, CouchDB preferred) design and queries • Experience working with any messaging system (KAFKA preferred), Docker, and Kubernetes • Working knowledge of Azure or AWS cloud, Kubernetes • Clear understanding of CS Algorithms and design patterns • Good project management skills including planning, risk management, and issue resolution • Excellent leadership and communication skills Walk-In Interviews in Chennai – Positions : Developers, Leads, and hands on Architects specializing in Python Interview Dates : (Tentative 20th September Saturday) Years of experience - 4-12 Years Preferences – previous experience in BFSI, NBFC, MFI or in fintech organization. Time : 20 Sept Venue : will be informed shortly ( Chennai) Eligibility Criteria: BE/ B. Tech only. Sahiba 8296043355

Job Description : - Senior Full Stack Data Scientist (Brand Power) About the Role We are seeking a Senior Full Stack Data Scientist to drive innovation at the intersection of data science and brand power. This role blends advanced analytics, machine learning, software engineering, and strategic brand insights to shape impactful solutions that elevate both customer experience and product reach. You will own the end-to-end lifecycle of data products, from data ingestion to real-time deployment, while ensuring outcomes align with brand performance, consumer engagement, and market growth metrics. About the Team At Global Analytics, we’re driving HEINEKEN’s transformation into the world’s leading data-driven brewer. Our innovative spirit flows through the entire company, promoting a data-first approach in every aspect of our business. From sales and logistics to marketing and purchasing, our smart data products have been instrumental in accelerating our growth and operational excellence. The Global Analytics team is a diverse group of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, spanning multiple countries and regions. Our culture fosters collaboration, innovation, and reliability. Together, we are committed to transforming HEINEKEN into a leader in data-driven decision-making, leveraging our global diversity to tackle challenges and create value. Key Responsibilities · End-to-End Data Product Ownership Design and manage full-stack data science solutions from ingestion and transformation (ETL/ELT) through deployment and monitoring. Partner with marketing, product, and business stakeholders to align analytics with brand objectives and consumer insights. Translate ambiguous requirements into actionable data science tasks with measurable business impact. · Advanced Analytics & Machine Learning Develop and deploy ML models for predictive analytics, segmentation, personalization, recommendation systems, and time-series forecasting. Integrate brand performance metrics (awareness, consideration, trial, repeat purchase, market share) into ML pipelines. Apply cutting-edge techniques (Bayesian methods, reinforcement learning, optimization/metaheuristics) when needed. · Brand Power & Market Insights Build models that enhance customer journey mapping and improve product experience across channels. Develop insights into consumer sentiment, brand health, and market reach using structured and unstructured data. Monitor KPIs tied to brand strength such as brand awareness, customer loyalty, NPS, and sales uplift. Partner with marketing to design data-driven campaigns that strengthen brand equity. · Software Engineering & DevOps Follow OOP principles in Python with clean, maintainable code. Implement CI/CD pipelines and orchestration (Kubernetes) for scalable ML operations. Manage cost and performance across cloud environments (Azure preferred, AWS/GCP acceptable). · Visualization & Storytelling Build brand-performance dashboards and data apps (Streamlit, Power BI, Plotly Dash) for executives and marketing teams. Present actionable insights in compelling, easy-to-understand formats tailored to brand, sales, and product stakeholders. Qualifications · Education BE/BTech/MS in Data Science, Computer Science, Statistics, AI, or related fields. · Experience 10+ years in data science, with at least 3–4 years in senior or leadership roles delivering end-to-end data products. · Technical Skills Strong Python (OOP, design patterns, NumPy, pandas, scikit-learn, TensorFlow/PyTorch). Cloud experience (Azure preferred, AWS/GCP acceptable). Experience with real-time data streaming (Kafka/Spark Streaming) and large-scale processing (Spark/Dask). Proficiency with version control (Git), CI/CD, and ML deployment pipelines. · Domain & Brand Power Skills Strong knowledge of brand health metrics, customer/product experience analytics, and marketing mix models. Deep understanding of consumer behavior, product reach, and market performance KPIs. Proven track record of applying data science to brand and business growth strategies. · Soft Skills Excellent communication, leadership, stakeholder management, and ability to tell a brand-driven story with data. Why Join Us Be part of a globally recognized brand with ambitious growth and innovation targets. Drive the fusion of brand power and data science to shape the future of customer and product experiences. Work on mission-critical projects where analytics directly influences brand equity and business growth. Collaborate with a diverse, innovative team of data professionals and brand strategists. Flexible, global, and collaborative culture with competitive compensation and opportunities for professional growth.

About Us MatchMove is a leading embedded finance platform that empowers businesses to embed financial services into their applications. We provide innovative solutions across payments, banking-as-a-service, and spend/send management, enabling our clients to drive growth and enhance customer experiences. Are You The One ? As a Senior Software Engineer on our Data Platform team, you will build the backbone of our data infrastructure that powers critical business insights and automates regulatory reporting for our payments platform. Youll work on distributed, scalable, and highly reliable data pipelines, enabling efficient data processing at scale. You will play an integral role in shaping our data strategy, ensuring data governance and compliance while supporting key stakeholders across the organization. You Will Get To Design, build, and maintain high-performance data pipelines that integrate large-scale transactional data from our payments platform, ensuring data quality, reliability, and compliance with regulatory requirements. Develop and manage distributed data processing pipelines for both high-volume data streams and batch processing workflows in a cloud-native AWS environment. Implement observability and monitoring tools to ensure the reliability and scalability of the data platform, enabling stakeholders to make confident, data-driven decisions. Collaborate with cross-functional teams to gather requirements and deliver business-critical data solutions, including automation of payment transactions lifecycle management, regulatory reporting, and compliance. Design and implement data models across various storage paradigms to support payment transactions at scale while ensuring efficient data ingestion, transformation, and storage. Maintain data integrity by implementing robust validation, testing, and error-handling mechanisms within data workflows. Ensure that the data platform adheres to the highest standards for security, privacy, and governance. Provide mentorship and guidance to junior engineers, driving innovation, best practices, and continuous improvement across the team. Requirements 4 to 6 years of experience in backend development and/or data platform engineering. Proficiency in Python, with hands-on experience using data-focused libraries such as NumPy, Pandas, SQLAlchemy, and Pandera to build high-quality data pipelines. Strong expertise in AWS services (S3, Redshift, Lambda, Glue, Kinesis, etc.) for cloud-based data infrastructure and processing. Experience with multiple data storage models, including relational, columnar, and time-series databases. Proven ability to design and implement scalable, reliable, and high-performance data workflows, ensuring data integrity, performance, and availability. Experience with workflow orchestrators such as Apache Airflow or Argo Workflows for scheduling and automating data pipelines. Familiarity with Python-based data stack tools like DBT, Dask, Ray, Modin, and Pandas for distributed data processing. Hands-on experience with data ingestion, cataloging, and change-data-capture (CDC) tools. Understanding of DataOps and DevSecOps practices to ensure secure and efficient data pipeline development and deployment. Strong collaboration, communication, and problem-solving skills, with the ability to work effectively across multiple teams and geographies. Experience in payments or fintech platforms is a strong plus, particularly in processing high volumes of transactional data. MatchMove Culture We cultivate a dynamic and innovative culture that fuels growth, creativity, and collaboration. Our fast-paced fintech environment thrives on adaptability, agility, and open communication. We focus on employee development, supporting continuous learning and growth through training programs, learning on the job and mentorship. We encourage speaking up, sharing ideas, and taking ownership. Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences. Together, we harness the power of fintech and e-commerce to make a meaningful impact on people's lives. Grow with us and shape the future of fintech and e-commerce. Join us and be part of something bigger! (ref:hirist.tech)

We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Associate within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver innovative software solutions. You will experiment with, develop, and productionize high-quality machine learning models, services, and platforms to significantly impact both technology and business. You will design and implement highly scalable and reliable data processing pipelines, perform analysis, and provide insights to promote and optimize business results. Your contributions will be integral to a transformative journey, making a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark Strong grasp on vector operations using numpy, scipy Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualifications, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing.

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Associate within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver innovative software solutions. You will experiment with, develop, and productionize high-quality machine learning models, services, and platforms to significantly impact both technology and business. You will design and implement highly scalable and reliable data processing pipelines, perform analysis, and provide insights to promote and optimize business results. Your contributions will be integral to a transformative journey, making a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualifications, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. As an ML Engineer, you’ll be provided with all opportunities for development and growth. Let's work together to build a better future for everyone! Requirements: Comfortable with standard ML algorithms and underlying math. Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems AWS Bedrock experience strongly preferred Practical experience with solving classification and regression tasks in general, feature engineering. Practical experience with ML models in production. Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts). Python expertise, Docker. Experience with data pipelines English level - strong Intermediate. Excellent communication and problem-solving skills. Will be a plus: Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda). Practical experience with deep learning models. Experience with taxonomies or ontologies. Practical experience with machine learning pipelines to orchestrate complicated workflows. Practical experience with Spark/Dask, Great Expectations. Responsibilities: Create ML models from scratch or improve existing models. Collaborate with the engineering team, data scientists, and product managers on production models. Develop experimentation roadmap. Set up a reproducible experimentation environment and maintain experimentation pipelines. Monitor and maintain ML models in production to ensure optimal performance. Write clear and comprehensive documentation for ML models, processes, and pipelines. Stay updated with the latest developments in ML and AI and propose innovative solutions.

As a skilled ETL Developer, you will be responsible for developing and optimizing scalable data pipelines to efficiently extract, transform, and load data from various sources. Leveraging technologies like Spark, Dask, and other modern ETL frameworks, you will play a key role in ensuring the smooth operation of data processes. Your duties will include implementing data quality controls, monitoring processes, and providing mentorship to junior ETL developers. Collaboration with the infrastructure team is vital to ensure the availability, reliability, and scalability of ETL solutions. Additionally, you will participate in code reviews, contribute to coding standards, and stay updated on emerging trends in ETL development and data management. Architecting and implementing advanced data models for both NoSQL (e.g., HBase) and relational databases will be part of your responsibilities. Establishing robust systems to ensure data quality, implementing monitoring tools, and designing high-performance APIs for seamless data access are crucial tasks. You will oversee the assembly of large, complex data sets, conduct root cause analysis on data and processes, and collaborate closely with cross-functional teams to ensure alignment on data architecture and delivery goals. In terms of technical requirements, you should have at least 2 years of experience in developing applications using Python, Bash, and SQL. Strong expertise in writing clean, efficient code, knowledge of SQL and NoSQL databases, and experience with parallel processing and distributed computing frameworks are essential. Familiarity with ETL orchestration frameworks and proficiency in backend frameworks like Django or Flask are desirable. Experience with cloud platforms and exposure to data analytics, data science, or machine learning workflows will be beneficial for this role.,

N-iX is a software development service company that helps businesses across the globe develop successful software products. Founded in 2002 in Lviv, N-iX has come a long way and increased its presence in nine countries - Poland, Ukraine, Sweden, Romania, Bulgaria, Malta, the UK, the US, and Colombia. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. Our client is a global commerce leader where you can influence how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help. N-iX is looking for AI/ML Platform Engineer who is passionate about driving major transformation within the AI organization to join the AI Platform Team. This role will support the AI Platform and services that provide machine learning infrastructure to researchers and data scientists across the company. You'll be expected to stay in touch with the latest technology development and drive implementation of DevOps practices across the organization and provide customer support. Responsibilities: Be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. Partner with vendors and the infrastructure engineering team for security and service availability. You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues. Diagnose and solve customer technical problems. Participate in training customers and prepare reports on customer issues. Be responsible for customer service improvements and recommend product improvements. Write support documentation. Design and implement zero-downtime to monitor and accomplish a highly available service (99.999%). As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity. Work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically. Develop and follow operational standard processes for tools and automation development, including style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards. Deliver solutions that accelerate the activities phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing. Requirements: At least 5 years of experience in designing, building, refactoring and releasing software written in Python, C++. Hands-on experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting. Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration and performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability. Would be a plus: Knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data. Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers

You will be responsible for performing complex research, design, and software development tasks within a software functional area or product line. Your role will involve providing direct input to project plans, schedules, and methodology for the development of cross-functional software products. Additionally, you will be involved in software design across multiple systems, mentoring junior team members, and engaging with users/customers to translate their requests into solutions. To qualify for this position, you should have at least 5 years of Software Engineering experience and a Bachelor's degree in Engineering/Computer Science or a related field. Required Skills and Qualifications: - Minimum of 5 years of experience as a Python Developer with a strong portfolio of projects. - Proficiency in Python software development stacks, ecosystems, frameworks, and tools like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, etc. - Familiarity with database technologies including SQL and NoSQL. - Excellent problem-solving skills with effective communication and collaboration abilities. Preferred Skills and Qualifications: - Experience working with popular Python frameworks such as Flask or FastAPI. - Knowledge of cloud platforms like AWS, Google Cloud, or Azure. If you meet the above qualifications and are interested in this opportunity, please contact 1-855-833-5120 to learn more. Please refer to our Candidate Privacy Policy for more information.,

About Us Jar is India’s leading Daily Saving app that helps people build strong saving habits—one small step at a time. Our goal is to make saving simple, rewarding, and truly life-changing. Founded in 2021 by Misbah Ashraf and Nishchay AG, Jar is a Bengaluru-based startup with one simple belief: saving a little every day in 24K Digital Gold can truly transform your future. Today, 20 million+ Indians trust Jar as their saving partner. With flexible saving options—Daily, Weekly, Monthly, and Instant Saving—we have made it easy for everyone to save in their own way and withdraw anytime. We are one of the leaders in UPI autopay transactions, crossing more than 1 million transactions per day. In 2023, we expanded our vision with Nek, our jewelry brand crafted to bring together luxury and affordability, it has since surpassed ₹100 crore in revenue. We have a big dream of bringing “Har Ghar Sona”. Small, consistent savings are just the start. We’re here to walk alongside our users, helping Indians secure their financial future every step of the way. Backed by Tiger Global Management, Arkam Ventures, and WEH Ventures, among others, we have raised $50 million+ in funding. In January 2025, we hit a huge milestone of becoming profitable. Now, we’re charging ahead, focused on sustainable growth and scaling impact. And this is just the beginning! What’s the role? As a Data Analyst-2, the role will involve leading deep-dive analysis on large and complex datasets to uncover insights that directly influence product development, retention strategies, and business growth.Owning critical metrics reporting across subscriptions, payments, churn, demand forecast and GMV, while ensuring accuracy, consistency, and automation of data processes. Alongside collaborating with product, engineering, and business teams for data-driven decision-making, he will also mentor junior analysts and lead end-to-end analytical projects, driving strategic, technical and operational impact. What will be your responsibilities? Data Analysis & Insights Perform deep dives on large, structured, and unstructured datasets to identify trends, irregularities, and actionable insights that drive product development and business decisions. Provide actionable insights Develop and maintain dashboards and reports for key stakeholders. Continuously monitor transactions to ensure accuracy, completeness, and integrity. Ensure data accuracy and consistency across multiple sources. Identify discrepancies, gaps, and failures in transactions and escalate for immediate resolution. Analyze historical sales data and market trends to develop accurate demand forecasts. Strategic Decision-Making Collaborate with product, engineering, and business teams to solve problems using data. Lead analysis to improve key retention and renewal metrics such as churn rate, renewal rate, transaction success rate, and GMV growth Support A/B testing and experiments to optimize product and feature performance. Analyze transaction failures, payment declines, and retry success rates to optimize the auto debit payment funnel. Data Management & Modeling Design and optimize data models that support real-time transaction monitoring, churn prediction, and cohort analysis for subscription-based customers. Partner with data engineers to ensure data accuracy, to improve data collection, completeness, and accessibility. Build and optimize reports that track business performance over time. Automate recurring reports and processes to improve efficiency. Leadership & Mentorship Guide and mentor junior analysts in best practices, technical skills, and storytelling through data. Lead projects end-to-end, ensuring clarity, timeliness, and high-quality outcomes. Metrics & Reporting & Ownerships Own reporting of subscription transactions, payment success rates, churn trends, and GMV impact, ensuring timely insights to Business & Product teams. Automate and optimize reporting to provide timely insights to leadership. Supporting other teams in setting up success metrics for particular products/features What’s required from you? Technical Skills Strong proficiency in Python & MongoDb for data analysis, including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, Dask, Stats models, Re(regular expressions for text cleaning), textblob (sentiment analysis & text processing) & Automations. Object oriented programming is a plus. SQL: Expertise in writing complex SQL (postgres) queries for data extraction, transformation, and reporting. Process, clean, and wrangle large datasets using Python to ensure data quality and readiness for analysis. Strong understanding of Excel/Google Sheets for quick ad-hoc analysis. Experience working with large, structured/unstructured datasets. Able to develop KPIs related to retention, acquisition, A/B experiments. Visualization Tools: Data Exploration and Visualization with tools like Amplitude, Clevertap, MS Excel, Tableau, Power BI, etc. Soft Skills High sense of ownership, accountability, and proactive problem-solving mindset. Strong problem-solving, critical thinking, and business acumen. Excellent communication skills with the ability to translate complex findings into clear insights for non-technical stakeholders. Experience 3+ years of experience in data analysis, preferably in fintech or startups. Proven experience leading high-impact projects independently. A desire to work in a fast-paced environment What makes us different? We’re not just building a product—we’re shaping the future of savings in India. We seek people who bring passion, energy, and fresh ideas to help us make that happen. Experience matters, but we are a potential first organisation. We move fast, learn from our mistakes, and take bold risks to solve problems that haven’t been attempted before. If you’re excited about working in an environment where people inspire and truly support each other, you’ve found the right fit. What do we stand for? The five values that we live by : Passion: At Jar, we strive to create an environment where people love what they do, are motivated and equipped to do their best work. Equality : We bring diverse skills, ideas, and experiences to the table, supporting and challenging each other across teams to create something bigger than ourselves. Growth : When our people grow, Jar grows. We create opportunities for learning, development, and meaningful impact. Accountability : The core of our work ethic is taking ownership of our work, showing initiative, and having the freedom to ask questions. Consistency : We believe in doing the right things consistently. Big change doesn’t happen overnight, it’s built one step at a time. Join us and let’s build something amazing together! What employee benefits do we have? Glad you asked! Among other things, we have Medical Insurance for employees and their families ESOPs allocation Pluxee meal card Swish club card for exclusive employee discounts Advance salary plans Relocation assistance L&D programmes

Job Summary: We are looking for an experienced Lead Data Scientist to head our AI and Machine Learning initiatives. This role is perfect for a professional who can drive innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems while also providing technical leadership and strategic direction to a team of data scientists. The Lead Data Scientist will be responsible for overseeing model development, optimizing AI-driven solutions, mentoring junior team members, and collaborating with key stakeholders to align AI strategies with business goals. The ideal candidate should possess deep expertise in NLP, Large Language Models (LLMs), Generative AI, and MLOps to lead the development of scalable AI-driven solutions. Responsibilities: Define and drive the AI/ML strategy with alignment with business objectives. Lead the research, design, and development of cutting-edge machine learning and deep learning models, including LLMs, GANs, VAEs, Transformers, CNNs, and RNNs. Establish best practices for data pipelines, feature engineering, model deployment, and AI governance. Evaluate emerging AI/ML technologies and recommend their adoption where beneficial. Architect and implement Generative AI solutions with a focus on improving conversational AI experiences. Optimize LLMs (GPT, BERT, T5, etc.) for various business applications, including prompt engineering, fine-tuning, and model interpretability. Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems. Oversee end-to-end model lifecycle, from data collection and preprocessing to model deployment and monitoring. Implement MLOps best practices to streamline model retraining, CI/CD for ML pipelines, and productionization. Optimize models using hyperparameter tuning techniques such as grid search, Bayesian optimization, and neural architecture search. Lead and mentor a team of data scientists and ML engineers Conduct code reviews, design discussions, and knowledge-sharing sessions. Guide junior team members on best practices in data science, deep learning, and software engineering. Partner with engineering, product management, and business stakeholders to integrate AI solutions into production. Qualifications & Experience: Educational Background: Bachelor's or Master’s in Computer Science, Data Science, AI, Statistics, or a related field. Experience: 5+ years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications. •Machine Learning & AI: Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.). •LLM & NLP Expertise: Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy. •Programming & Tools: Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.). •Big Data & Cloud: Experience working with large-scale datasets, cloud-based AI solutions (AWS, Azure, GCP), and distributed computing frameworks (Spark, Dask, Hadoop). Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,600,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Application Question(s): How soon you can join ? Experience: Data science: 3 years (Required) Work Location: In person

Category Engineering Experience Manager Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Lead Software Engineer As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, helping guide machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role: Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. Construct optimized data pipelines to feed MLmodels. Use programming languages like Python, Scala, or Java. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Advocate for software and machine learning engineering best practices. Function as the engineering tech lead for large-scale initiatives. Recruit and mentor junior engineering talent. Basic Qualifications Bachelor’s degree. At least 8 years of experience designing and building data-intensive solutions using distributed computing. At least 4 years of experience programming with Python, Scala, or Java. At least 3 years of experience building, scaling, and optimizing ML systems. At least 2 years of experience with the full ML development lifecycle using modern technology in a business critical setting. At least 2 years of experience leading teams developing ML solutions. Preferred Qualifications Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. At least 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. At least 3 years of experience developing performant, resilient, and maintainable code. At least 3 years of experience with data gathering and preparation for ML models. At least 3 years of people management experience. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents. At least 3 years of experience building production-ready data pipelines that feed ML models. Ability to communicate complex technical concepts clearly to a variety of audiences. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Voyager (94001), India, Bangalore, Karnataka Lead Software Engineer As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, helping guide machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role: Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. Construct optimized data pipelines to feed MLmodels. Use programming languages like Python, Scala, or Java. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Advocate for software and machine learning engineering best practices. Function as the engineering tech lead for large-scale initiatives. Recruit and mentor junior engineering talent. Basic Qualifications Bachelor’s degree. At least 8 years of experience designing and building data-intensive solutions using distributed computing. At least 4 years of experience programming with Python, Scala, or Java. At least 3 years of experience building, scaling, and optimizing ML systems. At least 2 years of experience with the full ML development lifecycle using modern technology in a business critical setting. At least 2 years of experience leading teams developing ML solutions. Preferred Qualifications Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. At least 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. At least 3 years of experience developing performant, resilient, and maintainable code. At least 3 years of experience with data gathering and preparation for ML models. At least 3 years of people management experience. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents. At least 3 years of experience building production-ready data pipelines that feed ML models. Ability to communicate complex technical concepts clearly to a variety of audiences. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).