406 Plotly Jobs - Page 4

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 22-25 LPA Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Work Location: In person

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cognite Data Fusion Engineer / Consultant Industry: Oil & Gas / Energy / Manufacturing / Industrial Digital Transformation Key Responsibilities: Design, implement, and optimize data pipelines in Cognite Data Fusion (CDF) using Python SDK or CDF APIs Build and maintain data models (Asset Hierarchies, Time Series, Events, Files, Relationships) in CDF Ingest and contextualize data from OT systems (e.g., PI System, SCADA/DCS), IT systems (SAP PM, IBM Maximo), and engineering data Develop and orchestrate transformations using CDF Transformations (SQL / PySpark) Collaborate with SMEs and data scientists to develop use cases such as predictive maintenance, asset performance monitoring, and digital twins Implement access control, data lineage, and quality checks aligned with governance requirements Create dashboards, apps, or integrations using CDF’s APIs, Power BI, Grafana, or other front-end tools Work with Cognite’s capabilities such as Cognite Functions, Data Sets, CDF Charts, and Industrial Canvas Must Have: 4+ years of experience in data engineering or industrial data platforms Proven experience working with Cognite Data Fusion – SDK, APIs, or Fusion Workbench Strong skills in Python, SQL, and cloud data tools (Azure preferred) Understanding of industrial asset structures, time series data, maintenance logs, and equipment metadata Experience with data integration tools and protocols (OPC UA, Modbus, REST, MQTT, PI AF) Familiarity with industry verticals like Oil & Gas, Chemicals, Power Generation, or Manufacturing Excellent problem-solving, communication, and client engagement skills Good to have: Experience with data visualization tools: Power BI, Grafana, Plotly, etc. Knowledge of cloud platforms (Azure, AWS, GCP) and infrastructure as code (Terraform, ARM) Prior experience with Cognite’s packaged solutions or apps (Asset Data Insight, Reliability, Integrity, etc.) Cognite Certifications (CDF Foundation / Developer / Architect) a strong plus EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis The AS is expected to have a knack for seeking out challenging problems and coming up with their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. What you’ll do Collaborate with data scientists working with Python, LLMs, NLP, and Generative AI to design, fine-tune, and deploy intelligent agents and chains-based applications. Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH, enhancing user interaction with complex machine learning and NLP-driven systems. Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL, supporting both analytics and generative AI solutions. Leverage containerization tools like Docker and utilize Git for version control, ensuring code modularity, maintainability, and collaborative development. Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure, optimizing for performance, scalability, and cost-efficiency. Contribute to internal AI/ML Ops platforms and tools, streamlining model deployment, monitoring, and lifecycle management. Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn to drive business insights. Proficient with Excel, and PowerPoint by showing proficiency in business communication through stakeholder interactions. About you A Master’s degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. Proven experience (2 years for Master’s; 3+ years for Bachelor’s) in AI/ML, software development, and data engineering. Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. Experience working with modern Python frameworks such as FastAPI for backend API development. Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. Strong grasp of data engineering concepts – including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). Good-to-have: Experience in BI tools such as Tableau or PowerBI, Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Key Responsibilities Business Process Analysis Design and maintain comprehensive analytics frameworks for business processes and financial workflows Develop dashboards and reports that provide real-time insights into key business metrics Analyze user interaction patterns with AI features to improve adoption and effectiveness Create and maintain ETL pipelines (if necessary) to ensure data quality and accessibility Generate actionable insights from complex financial datasets to guide product strategy AI Platform Analysis Develop and implement frameworks to evaluate the performance of LLM-based systems and AI agent.s Analyze AI model outputs, response quality, and automation effectiveness Track and report on key AI performance metrics such as accuracy, latency, and automation rates Collaborate with ML engineers to identify areas for model improvements based on data insights Create dashboards for monitoring AI system performance and reliability Conduct A/B testing of different AI configurations and prompt strategies Strategic Impact Provide data-driven recommendations for improving both AI capabilities and business processes Partner with product teams to define and track success metrics for AI features Collaborate with customer success teams to analyze user feedback and AI system effectiveness Build and maintain documentation for AI performance metrics and analytics processes Qualifications Required Qualifications 5+ years of experience in data analysis, with recent exposure to AI/ML systems Strong proficiency in SQL and Python for data manipulation and analysis Experience analyzing AI/ML system performance and metrics Expert-level experience with business intelligence tools (e.g., Tableau, Power BI, Looker) Experience working with large-scale financial datasets and ETL processes Strong statistical analysis skills and experience with A/B testing Experience with cloud-based data warehouses (preferably Snowflake) Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field Preferred Qualifications Experience analyzing LLM-based systems and generative AI applications Knowledge of NLP metrics and evaluation frameworks Experience with financial systems and processes (AP, AR, Vendor Management) Familiarity with prompt engineering and LLM performance optimization Experience with real-time analytics and streaming data Knowledge of data privacy and compliance requirements in finance Master’s degree in related field Technical Skills Data Analysis & Visualization Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) SQL (expert-level analytics) Tableau/Power BI/QuickSight Excel (advanced) AI/ML Analytics LLM evaluation metrics AI monitoring frameworks Prompt effectiveness analysis Data Infrastructure Snowflake or similar data warehouses AWS/Azure data services Experience with ETL tools and frameworks Data modeling Statistics & Testing Statistical analysis A/B testing Hypothesis testing Experimental design Skills: llm evaluation metrics,data,etl,analytics,cloud-based data warehouses,ai monitoring frameworks,statistical analysis,power bi,a/b testing,looker,tableau,etl processes,data analysis,ai,sql,python

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis The AS is expected to have a knack for seeking out challenging problems and coming up with their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. What you’ll do Collaborate with data scientists working with Python, LLMs, NLP, and Generative AI to design, fine-tune, and deploy intelligent agents and chains-based applications. Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH, enhancing user interaction with complex machine learning and NLP-driven systems. Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL, supporting both analytics and generative AI solutions. Leverage containerization tools like Docker and utilize Git for version control, ensuring code modularity, maintainability, and collaborative development. Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure, optimizing for performance, scalability, and cost-efficiency. Contribute to internal AI/ML Ops platforms and tools, streamlining model deployment, monitoring, and lifecycle management. Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn to drive business insights. Proficient with Excel, and PowerPoint by showing proficiency in business communication through stakeholder interactions. About you A Master’s degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. Proven experience (2 years for Master’s; 3+ years for Bachelor’s) in AI/ML, software development, and data engineering. Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. Experience working with modern Python frameworks such as FastAPI for backend API development. Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. Strong grasp of data engineering concepts – including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). Good-to-have: Experience in BI tools such as Tableau or PowerBI, Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Job Summary: We are seeking a skilled and passionate Python and Data Analyst Trainer to join our training team. The ideal candidate will have a strong background in Python programming and data analytics, with a desire to share their knowledge and mentor aspiring professionals. This role involves delivering high-quality training sessions, developing course materials, and providing hands-on guidance to learners from diverse backgrounds. Key Responsibilities: Design, develop, and deliver training sessions on Python programming , data analysis , data visualization , and related tools (e.g., Pandas, NumPy, Matplotlib, Seaborn, etc.). Teach learners how to work with data sets , perform data wrangling , and apply statistical techniques and machine learning fundamentals . Create engaging curriculum content, including lecture slides, coding exercises, quizzes, and real-world projects. Assess students’ progress through assignments, tests, and projects, and provide constructive feedback. Stay current with industry trends and incorporate new tools and techniques into the training content. Conduct one-on-one mentorship or doubt-clearing sessions, as needed. Collaborate with academic and support teams to improve training effectiveness and learner outcomes. Requirements: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience in Python programming and data analytics (1+ years preferred). Prior teaching, training, or mentoring experience (online or in-person) is highly desirable. Strong knowledge of data analysis libraries (Pandas, NumPy), data visualization tools (Matplotlib, Seaborn, Plotly), and SQL. Familiarity with Jupyter Notebooks, Git, and cloud-based tools (e.g., Google Colab). Excellent communication, presentation, and interpersonal skills. Ability to simplify complex technical topics for diverse learners. Certification in Python/Data Science (optional but a plus). Preferred Qualifications: Experience with real-world data projects and data storytelling. Knowledge of BI tools like Tableau or Power BI. Exposure to machine learning libraries (Scikit-learn, TensorFlow, etc.) is an added advantage. Experience in creating e-learning content or hosting webinars. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

Job Description First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

Job Profile: Python developer with AI Experience Work From Home Opportunity Experience: 2 - 3 Years We are seeking a talented and experienced * Python and Django Developer * with expertise in modern web frameworks, databases, AI development, and front-end technologies . The ideal candidate will work on cutting-edge projects, including AI-driven applications , knowledge graph systems, and scalable web solutions. The job can be either part-time or full-time. Minimum 2 years of experience is needed. Key Responsibilities: Design, develop, and maintain scalable backend systems using *Python* and *Django*. Must have experience with AI and automation tools such as n8n, make.com and Zapier. Develop and integrate user-facing features with * ReactJS* or *Next.js * for responsive, intuitive front-end applications. Build and optimize knowledge graphs and vector-based databases for advanced data retrieval and AI applications. Collaborate with AI/ML teams to integrate and deploy AI models in production environments. Implement APIs and microservices to support various application functionalities. Optimize application performance, ensuring scalability and efficiency. Research and implement best practices in AI systems, including natural language processing (NLP) and recommendation systems. Work collaboratively in an Agile environment with cross-functional teams to deliver high-quality solutions. Troubleshoot, debug, and upgrade existing systems to ensure security and efficiency. Required Skills and Qualifications: 3+ years of professional experience* in Python development. Proficiency in *Django* and related backend technologies. Strong expertise in *ReactJS* for front-end development. Hands-on experience with *vector databases* (e.g., Pinecone, Weaviate) and *knowledge graph databases* (e.g., Neo4j, Stardog). Familiarity with *building AI models* and deploying them in production, including frameworks like TensorFlow or PyTorch. Knowledge of *RESTful APIs* and/or *GraphQL* for efficient data transfer. Experience with cloud platforms like *AWS, **Azure, or **Google Cloud*. Proficiency with *DevOps tools* like Docker, Kubernetes, and CI/CD pipelines. Solid understanding of database systems (SQL and NoSQL). Experience with *version control systems*, especially Git. Knowledge of data structures, algorithms, and system design principles. Nice-to-Have Skills: Familiarity with *LLMs (Large Language Models)* and prompt engineering. Experience with *real-time data streaming* frameworks like Apache Kafka. Knowledge of *data visualization tools* such as Plotly, Dash, or D3.js. Knowledge of React Understanding of *cybersecurity practices* and secure coding principles. Proficiency in other backend frameworks like Flask or FastAPI Soft Skills: Strong problem-solving and analytical skills. Excellent written and verbal communication abilities. Team player with the ability to work in a collaborative, fast-paced environment. A passion for staying updated with the latest technologies and trends . Job Type - Full-time, Day shift, Night shift, Flexible Schedule. Working Days - Monday to Friday Interested Candidates can apply directly or can share their CVs on hr.infugin@gmail.com or can contact us at 8360228824 Job Types: Full-time, Permanent Pay: ₹35,925.20 - ₹50,771.82 per month Benefits: Flexible schedule Work from home Schedule: Day shift Evening shift Monday to Friday Night shift Rotational shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: n8n: 2 years (Required) AI Automation Tools: 2 years (Required) Python: 2 years (Required) Django: 2 years (Required) React Js: 1 year (Required) Language: English (Required) Work Location: Remote

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% Data Scientists for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projects—from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Required Skills: Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling. Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure). Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen. Nice to Have: Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink). Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices. Contributions to open-source projects or published research. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis The AS is expected to have a knack for seeking out challenging problems and coming up with their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. What you’ll do Collaborate with data scientists working with Python, LLMs, NLP, and Generative AI to design, fine-tune, and deploy intelligent agents and chains-based applications. Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH, enhancing user interaction with complex machine learning and NLP-driven systems. Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL, supporting both analytics and generative AI solutions. Leverage containerization tools like Docker and utilize Git for version control, ensuring code modularity, maintainability, and collaborative development. Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure, optimizing for performance, scalability, and cost-efficiency. Contribute to internal AI/ML Ops platforms and tools, streamlining model deployment, monitoring, and lifecycle management. Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn to drive business insights. Proficient with Excel, and PowerPoint by showing proficiency in business communication through stakeholder interactions. About you A Master’s degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. Proven experience (2 years for Master’s; 3+ years for Bachelor’s) in AI/ML, software development, and data engineering. Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. Experience working with modern Python frameworks such as FastAPI for backend API development. Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. Strong grasp of data engineering concepts – including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). Good-to-have: Experience in BI tools such as Tableau or PowerBI, Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

You are seeking a Full Stack Developer AI/ML with 0-1 year of experience to join an innovative team in Jodhpur. The ideal candidate should possess a solid understanding of machine learning models, backend development, and web application deployment. Your responsibilities will include designing, developing, and deploying AI/ML models for real-world applications, working with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks, and developing RESTful APIs to integrate AI models with web applications. Additionally, you will be responsible for implementing and maintaining backend services using Node.js, FastAPI, or Flask, building and enhancing frontend UIs with React.js, Vue.js, or Angular, and managing databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. Furthermore, you will optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure), work on data preprocessing, feature engineering, and model evaluation, and deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). Collaboration with cross-functional teams for AI integration into business applications is also a part of your role. The required skills and qualifications for this position include 0-1 year of experience in AI/ML and full-stack development, strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, experience with backend development using Node.js, FastAPI, Flask, or Django, knowledge of frontend frameworks like React.js, Vue.js, or Angular, familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase), understanding of machine learning workflows, model training, and deployment, experience with cloud services (AWS SageMaker, Google AI, Azure ML), knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models, basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning, familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, D3.js, strong problem-solving and analytical skills, good communication, and teamwork skills. Preferred qualifications include experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face), knowledge of MLOps, model monitoring, and retraining pipelines, understanding of Reinforcement Learning (RL) and Generative AI, familiarity with Edge AI and IoT integrations, and previous internship or project experience in AI/ML applications. As part of the benefits, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical. This department focuses on working on business cases with significant financial impacts for the company, providing solutions to business questions, recommended actions, and scalability options across markets. Your position as a Data Scientist will involve leading projects within the Analytics Continuum, where you will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions aimed at achieving clear financial objectives for Colgate-Palmolive. Your responsibilities will include building predictive modeling solutions, applying ML and AI algorithms to analytics, developing end-to-end business solutions from data extraction to building business presentations, conducting model validations, and continuous improvement of algorithms. You will also deploy models using Airflow and Docker on Google Cloud Platforms, own Pricing and Promotion, Marketing Mix projects, and present insights to business teams in an easily interpretable manner. To qualify for this role, you should have a BE/BTECH in Computer Science or Information Technology, an MBA or PGDM in Business Analytics or Data Science, additional certifications in Data Science, or an MSC/MSTAT in Economics or Statistics. You should have at least 5 years of experience in building statistical models, hands-on experience with coding languages such as Python and SQL, and knowledge of visualization frameworks like PyDash, Flask, and PlotLy. Understanding of Cloud Frameworks like Google Cloud and Snowflake is essential. Preferred qualifications include experience in managing statistical models for Revenue Growth Management or Marketing Mix models, familiarity with third-party data sources, knowledge of machine learning techniques, and experience with Google Cloud products. At Colgate-Palmolive, we are committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. Our goal is to develop talent that best serves our consumers globally and ensure that everyone feels a sense of belonging within our organization. We are an Equal Opportunity Employer dedicated to empowering all individuals to contribute meaningfully to our business.,

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets. Your role includes ensuring data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. In addition to data collection and cleaning, you will perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Your responsibilities will also involve conducting statistical analysis to support decision-making and uncover insights. Using analytical methods, you will identify opportunities for process improvements, cost reductions, and efficiency enhancements. You will be tasked with creating and maintaining clear, actionable, and accurate reports and dashboards for technical and non-technical stakeholders. This includes designing data visualizations such as charts, graphs, and tables to effectively communicate findings to decision-makers. Experience in tools like PowerBI, Tableau, and Python libraries for data visualization is essential. Furthermore, you will collaborate with cross-functional teams to understand their data needs and provide actionable insights. Working closely with IT and database administrators, you will ensure data is accessible and well-structured. Your role will also involve preparing reports for upper management and other departments, presenting key findings and recommendations. Data integrity and security are crucial aspects of your responsibilities. You will ensure compliance with data privacy and security policies while maintaining data integrity and implementing best practices for data storage and access. To excel in this role, you should stay updated with emerging data analysis techniques, tools, and industry trends. Recommending improvements to data collection, processing, and analysis procedures to enhance operational efficiency is also expected. Qualifications: - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. - Master's degree or relevant certifications in data analysis or business intelligence is a plus. Experience: - Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). - Proficiency with data visualization tools like Tableau, Power BI, Looker. - Strong knowledge of SQL, relational databases, and data manipulation tools like Python, R, Excel, SPSS. - Experience with big data technologies such as Hadoop and Spark is advantageous. Technical Skills: - Proficiency in SQL and data query languages. - Knowledge of statistical analysis and methodologies. - Experience with data visualization and reporting tools. - Familiarity with data cleaning and transformation techniques. - Understanding of machine learning and AI concepts is beneficial for advanced roles. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent attention to detail and ability to identify trends in complex data sets. - Good communication skills to present data insights clearly to technical and non-technical audiences. - Ability to work independently and collaboratively within a team. - Strong time management and organizational skills to prioritize tasks effectively.,

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer In this role, you will: Developing, testing, and implementing ML models. This involves developing solutions to solve complex problems in collaboration with Business and AI team members. Ensure adherence to data privacy and security standards, safeguarding sensitive customer and business information while maintaining compliance with relevant regulations. Demonstrate the ability to work independently and take ownership of tasks, while also supporting team members, ensuring timely high-quality delivery. Requirements To be successful in this role, you should meet the following requirements: Proven experience of working with advance coding in Python, and familiarity with some of the key Python libraries - TensorFlow, LangChain, PyTorch, Plotly, Dash, Scikit-learn is must. High degree of understanding on Natural Language Processing (NLP) techniques, Time-Series and Prediction Models would be helpful. Strong proficiency in software development with expertise in backend technologies, with good proficiency in Database technology is recommended. Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders. Our Customers / Stakeholders: Investment Banking Senior Management & Front-office staff Investment Banking Transformation Leads Investment Banking Technology Management Teams You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

A Multi-Player Gaming Company - Head Digital Works is the pioneer & one of India's largest online skill-gaming companies that develop and operate zeal-driven applications for online gaming enthusiasts. With more than 60 million+ users and multiple brand verticals like A23Rummy and Cricket.com, We have come a long way in the past 18 years. What started from a small garage in 2006 with nothing but a dream - "To become India's leading online gaming portal" has now turned into one of the most profitable start-ups in India that have gone through cycles of angel, venture capital and private equity investments. We're a diverse group of thinkers and doers who are reimagining what's possible to make it easier for all of us to do what we love in new ways. Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyze key product data sets to understand customer and product behavior Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyze model performance and data accuracy Technical Skills : At least 2-4 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills What We Offer - Competitive salary Mediclaim Policy - Best in Industry Flexible working hours Career Development Program Best in Industry Reward and Recognition program Inclusive and Collaborative Work culture Complimentary snacks are served everyday If you would want to be a part of this multi-million user company, apply on the given link

Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyse key product data sets to understand customer and product behaviour Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyse model performance and data accuracy Technical Skills : At least 1 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyse with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills

Data Scientist- Automotive 100% Remote Position Type: Contract Duration: 12 Months Required Skills and Qualifications Bachelor's or master's degree in computer science, Data Science, Statistics, or related field. Minimum 6 years of hands-on experience in data science and analytics. Strong programming skills in Python and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience with big data tools like Spark, AWS/GCP data pipelines, or similar platforms. Deep understanding of time-series data, signal processing, and ML for spatiotemporal datasets. Experience working with connected vehicle data or telemetry from trucks/autonomous systems is highly preferred. Familiarity with vehicle dynamics, CAN data decoding, or driver behaviour modeling is a plus. Proficiency in SQL, data visualization tools (Tableau, PowerBI, Plotly, etc.)

Requisition ID 167665 - Posted 07/16/2025 - Analytics - India - Maharashtra - Mumbai - Colgate-Palmolive - No Travel - Remote Relocation Assistance Offered Within Country Job Number #167665 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose: The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling , simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities : Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications : BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications : Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,

As a Data Scientist at the AI/ML CoE of Cyient, you will be applying your expertise in artificial intelligence, machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. Your role will involve collaborating with business partners to define technical problem statements, developing efficient analytical models, and incorporating them into analytical data products or tools with the support of a cross-functional team. Your responsibilities will include collaborating with business partners to develop innovative solutions using cutting-edge techniques, effectively communicating the analytics approach to meet objectives, advocating for data-driven decision-making, and leading analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts, and developers. You will also be responsible for creating dynamic and scalable models, engineering features by combining disparate data sources, and sharing your passion for Data Science with the broader enterprise community. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with 5+ years of experience or a graduate degree in a quantitative discipline with a demonstrated Data Science skill set and 2+ years of work experience. Proficiency in Python, complex SQL queries, and Machine Learning is essential, along with the ability to merge and transform internal and external data sets. Experience with Big Data technologies, data visualization tools, and supporting deployment and maintenance of models is desired. You should possess exceptional communication and collaboration skills, a bias for action, the ability to efficiently learn and solve new business domains and problems, and a healthy skepticism around the validity of data. Intellectual curiosity, humility, exemplary organizational skills, and the ability to coach, mentor, and collaborate with various stakeholders are also key attributes for this role.,

Role Title: Data Scientist Function / Department: Corporate Digitalization and Analytics Location: Jogeshwari, Mumbai (On-Site) / Chennai (On-Site) About the Role: We are seeking an experienced Data Scientist (4-6 years) to lead AI-driven transformation in a globally recognized Pharma Manufacturing IIoT environment. Our AI/ML use cases have received recognition from the World Economic Forum's Global Lighthouse Network, making this a high-impact, innovation-driven role. This position involves leading multiple use cases, working on exploratory technologies, and experimenting with cutting-edge AI tools. The role also entails working on vision-based use cases using quadrupeds (robotic systems) for industrial automation and process optimization. Why Join Us? Be part of AI projects recognized by the World Economic Forum's Global Lighthouse Network. Lead AI-driven decision-making & automation in a high-impact, mission-critical pharma environment. Experiment with AI innovations & next-gen robotics (quadrupeds, computer vision). Collaborate with top industry experts in a future-focused, technology-driven environment. Key Responsibilities: Lead AI-Driven Use Cases: Develop and deploy machine learning models for predictive maintenance, yield optimization, and quality control. Computer Vision & Robotics Integration: Build and optimize vision-based analytics for Quadrupeds to automate inspections and detect anomalies. Cutting-Edge Generative AI & NLP: Implement Generative AI models (e.g., GANs, Transformers) for manufacturing insights and process automation. Big Data Processing & AI Pipelines: Work with IIoT data streams, industrial sensors, and unstructured datasets for scalable AI deployment. Interactive Analytics & Decision Intelligence: Develop high-impact dashboards and visualizations for leadership decision-making. Research & Experimentation: Explore and implement new AI tools and emerging technologies for digital transformation. Qualifications: Education: Bachelor's degree in Engineering or a Master's in Statistics, Computer Science, IT, Analytics, or related fields. Technical Skills: Programming: Proficiency in Python and libraries such as NumPy, pandas, scikit-learn. Machine Learning & Deep Learning: Experience with TensorFlow, PyTorch, and classical ML models. Computer Vision: Familiarity with OpenCV, object detection models, and industrial vision analytics. Generative AI: Exposure to GANs, NLP models, and Transformers. Big Data & IIoT: Experience with data pipelines, ETL processes, and IIoT data streams. Visualization: Expertise in Tableau, Power BI, or Plotly for interactive dashboards. Good to have: MLOps, Exposure to Azure or similar cloud platforms Skills and Competencies: Strategic Thinker: Ability to drive AI-powered decision-making in a fast-paced industrial setting. Tech Explorer: Passion for working on emerging AI technologies, robotics, and experimental AI models. Collaboration & Leadership: Comfortable working with cross-functional teams and leading projects. Problem-Solving Mindset: Strong analytical skills to handle complex industrial datasets and drive impact.

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your Mission, Roles And Responsibilities The main missions of the role are: 3-5 years experience in AI Experience performing quantitative research with Computer vision, Machine learning, Deep learning and associated implementation of algorithms. Strong programming skills in Python and familiarity with other languages like R Experience data analysis techniques Working experience Pandas and other AI related libraries Strong understanding of Supervised, Unsupervised learning and Deep Learning algorithms Strong understanding of Azure DevOps and CI/CD pipeline creation for AI projects Experience in creating dashboards or webpage using Plotly Dash or similar tools Understanding of MLOps practices for deploying and maintaining ML models in production Experience in deploying Generative AI models Your profile and competencies to succeed Education : Degree or Master's degree in Computer Science/ Electronics/ Artificial Intelligence Skills & Attributes Advanced English Fast learner and Problem solving High level of integrity, accountability and transparency International working mindset What We Can Do For You At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies. We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry. With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

Hiring: Front-End Developer AngularJS | Bangalore (Onsite) Location: Bangalore (Onsite) Experience: 4+ Years Employment Type: Contract / C2C Technical Skill Requirements: AngularJS, Angular, TypeScript, JavaScript, RXJS Charting Libraries: Plotly, D3.js Image Libraries: Fabric.js, Two.js, Three.js (nice to have) Web Fundamentals: HTML, CSS CI/CD: Hands-on with Azure pipelines Excellent communication skills – mandatory Educational Qualification: Bachelor's degree or higher in Engineering (mandatory) Key Responsibilities: Design, develop, and deploy applications using Angular Create and manage interactive visualizations using Plotly, D3.js Translate business requirements into functional applications Implement and integrate image processing tools/libraries Collaborate with cross-functional teams for development and delivery Maintain clean, scalable, and maintainable code Optimize application performance and ensure high-quality UI/UX Implement CI/CD pipelines on Azure Independently handle modules or projects with minimal supervision Troubleshoot and resolve issues in a timely manner Required Skills: 4+ years of Angular development experience Strong grasp of web development fundamentals Expertise in interactive charting libraries (Plotly/D3.js) Solid debugging and problem-solving capabilities Familiar with Azure DevOps / CI-CD tools Excellent team collaboration & client-facing communication

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets to ensure data accuracy and consistency. Your role will involve performing exploratory data analysis to identify trends, patterns, and anomalies, as well as conducting statistical analysis to support decision-making processes. You will be expected to create clear and actionable reports and dashboards for technical and non-technical stakeholders, utilizing tools such as PowerBI, Tableau, and Python libraries for data visualization. Additionally, you will work on generating descriptive, predictive, and prescriptive insights using tools like MS Copilot in PowerBI and collaborate with cross-functional teams to provide actionable insights based on data analysis. Ensuring data integrity and security will be a key aspect of your role, where you will need to comply with data privacy policies and maintain data integrity while implementing best practices for data storage and access. Continuous improvement is also essential, as you will need to stay updated with emerging data analysis techniques, tools, and industry trends to recommend improvements in data collection, processing, and analysis procedures. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications in data analysis or business intelligence would be a plus. You should also have at least 7 years of experience as a Data Analyst or in a similar analytical role, along with proficiency in SQL, data visualization tools, and data manipulation and analysis tools such as Python and R. Strong analytical and problem-solving abilities, attention to detail, excellent communication skills, and the ability to work both independently and as part of a team are essential soft skills for this role. Moreover, having knowledge of statistical analysis, machine learning, and AI concepts would be advantageous for more advanced roles. Overall, as a Data Analyst, you will play a crucial role in analyzing data, providing insights for decision-making, ensuring data integrity, and contributing to continuous improvements in data analysis processes and procedures.,