1437 Matplotlib Jobs - Page 22

This position supports 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 modeling, 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. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ 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 10+ 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 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & 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. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines 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. Builds 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 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 Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient 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). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and 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. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. 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. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

Job Description The Corporate Treasury, FTP & Deposit Modeling Strategies team is responsible for modeling and optimizing the interest rate and liquidity risks associated with over $200 billion of the firm’s global balance sheet. Our team develops analytics that directly influence hedging strategies and incentivize optimal funds raising activities. As a member of this team, your work will impact the decisions of the CFO, Treasurer, and other members of senior management in connection with the most material concerns of the firm. Responsibilities Collaborate with other engineers and quantitative analysts to improve the performance, accuracy, and scalability of our modeling infrastructure. Visualize and analyze time series data using Python (pandas, matplotlib) to identify trends, anomalies, and opportunities for improvement. Debug and optimize production-grade codebases, ensuring the reliability and efficiency of intraday processes. Communicate complex technical concepts effectively to both technical and non-technical audiences. Contribute to the documentation of models, processes, and code. Qualifications 2+ years of experience in object-oriented financial programming and maintaining high code quality standards. Existing experience with SecDb, e.g. UFO/tradable or MDAPI development, is a plus. Hands-on experience debugging and optimizing production-grade codebases involving highly-available intraday processes. Excellent communication skills.

About Enqurious Enqurious (formerly Mentorskool) is a fast-growing EdTech company based in Bengaluru that specializes in upskilling industry-ready Data + AI teams. We combine skill-driven precision learning with data-driven skill intelligence to help organizations deploy talent to projects 70% faster. Our mission is to bridge the skills gap in the data + AI space through problem-first, action-oriented, and mentorship-driven learning experiences. Our clientele includes large Enterprise Data and AI consulting firms like Fractal Analytics, Tredence, Tiger Analytics and MathCo. We help our customers achieve upskilling in many different flavors including - Graduate Data Engineer Upskilling, Continuous Learning, Certifications, Hackathons and Project Accelerators. Enqurious is our home-grown Learning Engagement Platform where we put well researched learning experiences integrated with labs to help learners experience real-world problems and challenges leading to upskilling that delivers business outcomes. https://www.enqurious.com/ Position Overview Location: Bengaluru, Karnataka (Hybrid) Experience: 2+ years Employment Type: Full-time Department: AI & ML We are seeking a passionate Data Scientist with 2+ years of experience to join our core team. This role offers a unique opportunity to work on cutting-edge data science projects and contribute to shaping the next generation of data professionals through developing domain first use cases and delivered via mentoring Must-Have Requirements Technical Skills SQL Mastery: Advanced proficiency in SQL with experience in complex query optimization, performance tuning, and working with large datasets and relational data modelling Statistical & ML Foundations: Strong grasp of probability, statistics, hypothesis testing, and ML algorithms (supervised, unsupervised, and time-series). Python Programming: Proficiency with pandas, NumPy, scikit-learn, TensorFlow/PyTorch, and data-validation/automation scripting. Data Visualisation: Ability to craft compelling stories with Matplotlib, Seaborn, Plotly Cloud Fundamentals: Solid understanding of cloud computing principles, Familiarity with ML services on AWS (SageMaker, Athena), or Azure (ML Studio, Databricks). Experience & Mindset - Must have Minimum 2 years of hands-on data science experience with a proven track record of building models and MLOps pipelines Model Development & Deployment: Experience building robust, scalable MLops on cloud platforms, preferably AWS (S3, Sagemaker) or Azure(Adls, Databricks, MLflow, Azure ML Studio) Continuous Learning: Demonstrated ability to quickly adapt to new technologies, frameworks, and methodologies in the rapidly evolving data landscape Teaching/Mentoring Aptitude : Genuine interest and willingness to occasionally conduct corporate training sessions, workshops Ability to work in uncertain and ambiguous environments. We expect you to be a self-starter, and you will be required to demonstrate this skill in the interview Good to Have Startup Mindset: Openness to work closely with core and founding team members in creating RFPs, proposals, and strategic technical documents Client Interaction: Experience interfacing with clients to understand requirements and translate business needs into technical solutions Key Responsibilities Core Engineering (for experience building and creating simulated projects inspired by the real world) Design, build, and maintain reproducible ML pipelines (feature engineering, training, evaluation, and CI/CD deployment). Develop predictive, prescriptive, and generative models that are performant, explainable, and cost-efficient. Implement data-quality checks, bias/variance monitoring, and automated drift detection. Conduct mentoring sessions on data science best practices, tools, and technologies Develop hands-on labs and real-world scenarios for upskilling programs Contribute to Enqurious's knowledge base and learning content library Strategic Contributions Participate in technical discussions with the founding team and contribute to content roadmap decisions Assist in creating technical proposals, RFPs, and solution architectures for enterprise clients for their upskilling needs Stay updated with industry trends and emerging technologies to enhance our training offerings Represent Enqurious at technical conferences, meetups, and community events What We Offer Professional Growth Accelerated Learning Environment: Work alongside industry experts and gain exposure to diverse data science challenges across multiple domains (Retail, CPG, E-Commerce, FinTech, Insurance) Mentoring Opportunities: Develop your communication and leadership skills through corporate training and mentoring Industry Recognition: Opportunity to build your brand in the data science community Certification Support: Access to premium training resources and certification programs (Databricks, AWS, Azure) Work Environment Flexible Work Arrangements: Hybrid working model with collaborative office environment in Bengaluru Innovation Culture: Be part of a team that's disrupting traditional corporate learning methodologies Direct Impact: Your work will directly influence how thousands of data scientists are trained globally Startup Agility: Fast-paced environment with opportunities to wear multiple hats and drive initiatives Compensation & Benefits Competitive salary commensurate with experience and skills Performance-based bonuses and equity opportunities Health insurance and wellness programs Professional development budget for conferences, courses, and certifications Ideal Candidate Profile You're the perfect fit if you: Love building impactful models and sharing knowledge Thrive in ambiguous, fast-paced environments where you can make a significant impact Enjoy collaborating with diverse teams, including educators, business stakeholders, and technical experts We are excited about the intersection of technology and education Have a growth mindset and are energized by continuous learning and teaching Can balance hands-on technical work with strategic thinking and planning Application Process 1-2 Interview rounds. Please note that we are only willing to accept anyone who has a notice period of 30 days or less How to Apply? If you're excited about the opportunity to build cutting-edge data solutions while shaping the future of Data Science + AI education, we'd love to hear from you. Apply with your resume, a brief cover letter explaining your interest in this unique role, and any relevant project portfolios or certifications. Send your updated resume to learn@enqurious.com with the subject line "Application for Data Scientist - ." Enqurious is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.

Job Title Data Scientist I/II Job Description At Philips, data is in the center of everything we do. We believe that, every data item has a story of its own. If you have a penchant for unravelling the hidden patterns, then you are the person we are looking for! To build our next generation smarts, you will be working with experts in a variety of fields, including clinical & regulatory specialists, UX designers, dental and skin care professionals, system architects, product management to integrate new technologies and refine system performance. You will help build learning systems, leveraging data sets consisting of user interactions and actions, collected from hundreds of thousands of consumer devices, per day to model, analyse, and predict user behaviours. While some of our algorithms run on resource constrained devices, others require large clusters on our cloud infrastructure. As data scientist you will investigate, discern, and interpret data sets to recognize user behaviour and predict trends. Job Responsibilities Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. Selecting features, building and optimizing classifiers using machine learning and deep learning techniques Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata. Job Qualifications: Master’s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

Apponix Technologies is seeking an experienced and passionate Python Full Stack and Data Analytics Trainer/Faculty to join our team. The ideal candidate will have hands-on experience in development and a flair for teaching. Key Responsibilities : Deliver classroom and/or online training sessions in: Python Programming (Core + Advanced) Django / Flask Framework HTML, CSS, JavaScript, Bootstrap Database (MySQL/PostgreSQL) Data Analysis using Python (Pandas, NumPy, Matplotlib, Seaborn) Introduction to Machine Learning and Data Visualization tools (Power BI/Tableau is a plus) Prepare course materials, assignments, and real-time projects Conduct assessments and support student queries Keep up-to-date with industry trends and curriculum development Required Skills & Qualifications : Bachelor's degree in Computer Science, IT, or related field 2+ years of industry/training experience in Python Full Stack and/or Data Analytics Strong communication and presentation skills Prior teaching/training experience is highly preferred Nice to Have : Exposure to tools like Jupyter, Anaconda, Git/GitHub Knowledge of Power BI / Tableau Knowledge of deployment (Heroku, AWS, etc.) Salary : Competitive Job Type : [Full-Time / Part-Time / Freelance ] Work Location : [In-office] Job Types: Full-time, Part-time, Freelance Contract length: 12 months Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Evening shift Morning shift Supplemental Pay: Commission pay Overtime pay Education: Secondary(10th Pass) (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person

India ID asp-007-0725 Full Time 07/07/2025 Skill Set: AI,Machine Learning,NLP,Gen AI Job Summary: We are looking for a passionate and results-driven Data Scientist with 3–5 years of hands-on experience in AI, Machine Learning, Deep Learning, NLP, and Generative AI to join our dynamic team. You will work on cutting-edge projects, transforming data into meaningful insights and AI-driven solutions that support strategic business decisions and product innovation. Key Responsibilities: Design, build, and deploy machine learning models and AI solutions for real-world business problems Work with Natural Language Processing (NLP) techniques to extract insights from unstructured data (text, voice, documents). Research and apply Generative AI (Gen AI) models and frameworks (e.g., LLMs, transformers) to solve customer and product-specific use cases. Collaborate closely with cross-functional teams including product, engineering, and business to gather requirements and deliver impactful data solutions. Interpret model results, evaluate performance metrics, and refine solutions for improved outcomes. Stay updated with the latest advancements in AI/ML and bring in innovative ideas and best practices to the team. Required Skills: Strong proficiency in Python and ML libraries Knowledge with Natural Language Processing (NLP) techniques and tools s Experience working on Generative AI models – including Large Language Models (LLMs), prompt engineering, or fine-tuning. Strong foundation in statistics, data analysis, and machine learning algorithms. Familiarity with data handling using Pandas, NumPy, and data visualization tools like Matplotlib / Seaborn / Power BI. Who We Are and What We Do Aspire Systems is a global technology services firm serving as a trusted technology partner for more than 250 customers across the globe. Aspire works with the world's most innovative enterprises in Banking, Insurance, Retail and ISVs, helping them leverage technology to transform their business in the current digital landscape. Aspire’s proven approach to Software Engineering & Digital Technologies helps companies run smart business models. Aspire’s core philosophy of ‘Attention. Always.’ communicates its belief in lavishing care and attention to its customers and employees.

Job Title Data Scientist I/II Job Description At Philips, data is in the center of everything we do. We believe that, every data item has a story of its own. If you have a penchant for unravelling the hidden patterns, then you are the person we are looking for! To build our next generation smarts, you will be working with experts in a variety of fields, including clinical & regulatory specialists, UX designers, dental and skin care professionals, system architects, product management to integrate new technologies and refine system performance. You will help build learning systems, leveraging data sets consisting of user interactions and actions, collected from hundreds of thousands of consumer devices, per day to model, analyse, and predict user behaviours. While some of our algorithms run on resource constrained devices, others require large clusters on our cloud infrastructure. As data scientist you will investigate, discern, and interpret data sets to recognize user behaviour and predict trends. Job Responsibilities · Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes · Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. · Selecting features, building and optimizing classifiers using machine learning and deep learning techniques · Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. · Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata. Job Qualifications: Master’s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business . Discover our rich and exciting history . Learn more about our purpose . If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

Requisition ID: 8103 Bangalore, India Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role At Enphase - Staff Data Analyst, your work won't just sit in a dashboard — it will drive decisions at the highest levels. You'll have the opportunity to present insights directly to the CEO, VPs, and senior leadership, influencing strategy and shaping the future of our products and operations. This is a high-impact role for those who don’t just crunch numbers — they connect the dots, tell compelling stories with data, and turn insights into action. If you're looking to work on meaningful problems, move fast, and be seen — this is where you belong. The Staff Data Analyst will be responsible for analyzing and interpreting product quality data through the entire product lifecycle. Provides essential support for the data management activities of the Quality organization. Collaborates with Engineering /CS teams and Information Technology. What you will do Function as a resource to departments and process improvement teams in the areas of quality data management Work with stakeholders throughout the Quality organization to identify opportunities for leveraging company data to drive product/process improvements Work with cross functional teams to understand their needs and run query to support their analyses Develop deep knowledge of the dataset and able to drill down and wide Run SQL/R/Python queries on various databases to identify patterns and diagnose problems Identify opportunities for automation, monitoring and visualization using automated tools Who you are and what you bring BE/B.Tech degree or higher in Engineering, or Computer Science 8+ year's experience in data science required Expertise in programming/query languages such as Python (Matplotlib, Plotly libraries)/R/SQL Design, develop and implement data-driven strategies and machine learning models Able to understand various data structures and common methods in data transformation Expertise in delivering analysis results using custom made visualizations Ability to interpret and summarize presentations for executives Strong verbal and written communication skills required

Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. This role requires a strong foundation in data analysis, statistical modeling, and visualization, along with a passion for turning data into actionable insights. Key Responsibilities: Collect, process, and clean data from various sources to ensure data quality and integrity. Perform data analysis and statistical evaluations to identify trends, patterns, and insights. Create compelling data visualizations and dashboards using tools such as Power BI, Tableau, or similar. Write clean and efficient code to manipulate large datasets (using Python, R, SQL, etc.). Collaborate with cross-functional teams to define and track key performance indicators (KPIs). Document data analysis processes and communicate findings with stakeholders. Work closely with Data Engineering teams to support data pipeline development and optimization. Must-Have Skills: Strong proficiency in data analysis and statistical methods Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Proficient in programming languages such as Python, R, or SQL Understanding of data engineering basics and working with structured/unstructured data Ability to interpret data and present it clearly to both technical and non-technical audiences Good-to-Have Skills: Experience with advanced programming concepts and scripting Familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica Knowledge of machine learning fundamentals and predictive analytics Exposure to advanced statistical modeling techniques Experience with cloud platforms (AWS, GCP, Azure) for data handling Educational Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science , or a related field Job Type: Full-time Pay: From ₹700,000.00 per year Benefits: Health insurance Schedule: Day shift Application Question(s): How many years of experience Data Analyst? How many years experience do you have in Power Bi? What is your current salary? Work Location: In person

3 - 5 Years 4 Openings Kolkata, Pune Role description Role Proficiency: Independently interprets data and analyses results using statistical techniques Outcomes: Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions. Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data. Utilizes historical data sets and planned changes to business models and forecast business trends Working alongside teams within the business or the management team to establish business needs. Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders. Set FAST goals Measures of Outcomes: Schedule adherence to tasks Quality – Errors in data interpretation and Modelling Number of business processes changed due to vital analysis. Number of insights generated for business decisions Number of stakeholder appreciations/escalations Number of customer appreciations No: of mandatory trainings completed Outputs Expected: Data Mining: Acquiring data from various sources Reorganizing/Filtering data: Consider only relevant data from the mined data and convert it into a format which is consistent and analysable. Analysis: Use statistical methods to analyse data and generate useful results. Create Data Models: Use data to create models that depict trends in the customer base and the consumer population as a whole Create Reports: Create reports depicting the trends and behaviours from the analysed data Document: Create documentation for own work as well as perform peer review of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards and process Code: Create efficient and reusable code. Follows coding best practices. Code Versioning: Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket etc. Quality: Provide quality assurance of imported data working with quality assurance analyst if necessary. Performance Management: Set FAST Goals and seek feedback from supervisor Skill Examples: Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Ability to present findings or translate the data into an understandable document Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings. Attention to Detail: Making sure to be vigilant in the analysis to come with accurate conclusions. Quantitative skills - knowledge of statistical methods and data analysis software Presentation Skills - reports and oral presentations to senior colleagues Mathematical skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples: Knowledge Examples Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets Advanced knowledge of Tableau or PowerBI SQL Python DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Code version control e.g. git bitbucket etc Additional Comments: Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) Skills Data Science,Python,Deep Learning About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Role Description Role Proficiency: Independently develop data-driven solutions to difficult business challenges by utilize analytical statistical and programming skills to collect analyze and interpret large data sets under supervision. Outcomes Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to make models that can generate business insights Create new experimental frameworks or build automated tools to collect data Correlate similar data sets to find actionable results Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns. Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc Develop processes and tools to monitor and analyse model performance and data accuracy. Develop Data Visualization and illustrations on given business problem Use predictive modelling to increase and optimize customer experiences and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Set FAST goals and provide feedback on FAST goals of reportees Measures Of Outcomes Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Number of Prediction and Modelling models used Number of new approaches applied to understand the business trends Quality of data visualization done to help non-technical stakeholders comprehend easily. Number of mandatory trainings completed Outputs Expected Statistical Techniques: Apply statistical techniques like regression properties of distributions statistical tests etc. to analyse data. Machine Learning Techniques Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis. Creating Advanced Algorithms Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc. Data Visualization Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc. Management And Strategy Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical Business Insights Mines the business’s database in search of critical business insights and communicates findings to the relevant departments. Code Creating efficient and reusable code meant for the improvement manipulation and analysis of data. Version Control Manages project codebase through version control tools e.g. git bitbucket etc. Predictive Analytics Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive Analytics Attempts to identify what business action to take Create Reports Creates reports depicting the trends and behaviours from the analysed data Training end users on new reports and dashboards. Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards and process Skill Examples Excellent pattern recognition and predictive modelling skills Extensive background in data mining and statistical analysis Expertise in machine learning techniques and creating algorithms. Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data Analysts must look at numbers trends and data and come to new conclusions based on the findings. Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment and have strong interpersonal skills to work in collaborative environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Programming languages – Java/ Python/ R. Web Services - Redshift S3 Spark DigitalOcean etc. Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc. Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc. Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc. Database languages such as SQL NoSQL Analytical tools and languages such as SAS & Mahout. Practical experience with ETL data processing etc. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and about sub domain where problem is solved Proficient in at least 1 version control tool like git bitbucket Have experience working with project management tool like Jira Additional Comments Must have -Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) Skills Data Management,Data Science,Python

Job Description We are seeking a highly analytical and strategic Data Scientist/Senior Data Scientist to join our team. The ideal candidate will have hands-on experience in leading data-driven projects, applying advanced analytics, and delivering actionable insights. This role involves collaborating across teams, mentoring junior staff, and staying current with developing technologies in data science and machine learning. Key Skills Master’s degree or higher in data science, statistics, computer science, or a related field. Proficiency in R or Python (R preferred) for data modeling and analysis. Strong knowledge of SQL for data extraction and transformation. Hands-on experience with machine learning models and statistical techniques. Proven ability to translate complex data findings into business strategies. Experience in cross-validation techniques and model evaluation. Excellent communication skills for delivering technical and non-technical reports. Ability to mentor junior data scientists and guide project execution. Knowledge of ethical data practices and data governance. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib. Understanding of big data platforms and distributed computing frameworks. Knowledge of cloud platforms like AWS, Azure, or Google Cloud for data projects. Roles & Responsibilities Design and execute data science projects aligned with business objectives. Collect, clean, and prepare data from multiple sources for analysis. Mentor and guide junior data scientists to ensure quality output. Develop statistical models and machine learning algorithms to solve business problems. Monitor model performance and refine approaches for better accuracy. Prepare easy-to-understand reports to communicate insights and outcomes. Collaborate with cross-functional teams to align data initiatives with strategic goals. Stay updated with advancements in data science and apply new methods to projects. Ensure compliance with quality and information security standards in all data processes.

Position Overview The AI & Automation Analyst at SingleStore is a foundational member of the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. Join a high-visibility, high-impact team delivering essential AI and automation solutions as part of our new AI & Automation Center of Excellence. This role partners cross-functionally—collaborating with analytics, engineering, business, and IT teams—to design and implement initiatives that drive innovation, streamline operations, and amplify data-driven decision making. You will leverage leading AI and automation technologies to tackle complex challenges, directly supporting SingleStore’s leadership in enterprise digital transformation and rapid AI adoption. Here, your work contributes to both immediate business wins and the next evolution of our operational and technical capabilities. Role and Responsibilities Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives. Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement. Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments. Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices. Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders. Uphold best practices in data privacy, regulatory compliance, and ethical AI usage. Required Minimum Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Strong understanding of data analysis, statistical concepts, and data visualization techniques. Familiarity with data processing tools and platforms (e.g., SQL). Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. Experience working in collaborative, cross-functional teams. Excellent stakeholder communication and expectation management skills. Eagerness to learn and adapt in a rapidly evolving technical environment. Preferred Experience in SaaS/subscription-based business models. Familiarity with business systems (e.g., Salesforce, Netsuite). Hands-on experience integrating AI and Automation into both modern and legacy systems. Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. Benefits Company Wide: Technology stipend for new employees Monthly cell phone and internet stipend Health and wellness benefit In-office catered lunches (where applicable) and monthly Grubhub credit Company and team events Flexible time off and volunteer time off Stock options Country Specific (United States) Comprehensive health benefits (medical, dental, vision) 401(k) retirement plan As employees are located in many countries, some benefits may differ. SingleStore strives to provide equitable perks and benefits across our locations. About SingleStore SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. Our distributed SQL database unifies transactional and analytical workloads, empowering leaders to deliver exceptional, real-time data experiences for their customers. SingleStore is venture-backed and headquartered in San Francisco, with offices across North America, Europe, and Asia. Diversity & Inclusion We are committed to diversity and inclusion, valuing individuals who thrive on diverse teams and bring a broad range of perspectives to SingleStore. Recruitment Agencies Statement SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement with the Company.

Our client in India is a professional services firm. Our professionals leverage the global network of firms. providing detailed knowledge of local laws, regulations, markets, and competition. Our client has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our client in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Our professionals provide the experience to help companies stay on track and deal with risks that could unhinge their business survival. Our services enable clients to effectively coordinate their key growth. quality and operational challenges, and working in partnership with us, clients have the benefits of our client's experienced, objective, and industry-grounded viewpoints. Requirements Roles Responsibilities We are seeking a highly skilled and experienced Senior Data Scientist with a strong foundation in Python programming and a passion for solving complex data problems. The ideal candidate will have over 6 years of hands-on experience in data science, with a proven track record of building and deploying data-driven solutions. Familiarity with UNIX-based systems and DevOps practices is a strong plus. Key Responsibilities:  Design, develop, and maintain scalable data pipelines and ETL workflows using Python.  Design, develop, and deploy machine learning models and data pipelines using Python.  Analyze large datasets to extract actionable insights and support business decision-making.  Collaborate with cross-functional teams including data engineers, product managers, and software developers.  Automate data workflows and ensure data quality and integrity.  Contribute to the development of scalable and maintainable data science solutions.  Utilize UNIX-based systems for scripting, automation, and data processing tasks.  (Preferred) Work with DevOps tools and practices to streamline model deployment and monitoring.  (Preferred) Leverage DevOps tools for model deployment, monitoring, and CI/CD integration.  (Preferred) Utilize UNIX-based systems for scripting, automation, and data handling. Qualification  Bachelor's or master's degree in computer science, Data Science, Statistics, or a related field.  5+ years of experience in data science roles with a strong focus on Python.  Proficiency in Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.  Experience with data wrangling, feature engineering, and model evaluation techniques.  Solid understanding of statistical analysis and machine learning algorithms.  Familiarity with UNIX/Linux environments and shell scripting.  Excellent problem-solving and communication skills.  Solid experience in ETL development and data pipeline automation CRITERIA Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy) Experience with DevOps tools such as Docker, Kubernetes, Jenkins, or CI/CD pipelines Exposure to cloud platforms like AWS, GCP, or Azure Knowledge of version control systems like Git Experience with big data tools (e.g., Spark, Hadoop)is a plus Benefits Work with one of the Big 4's in India Healthy work Environment Work-Life Balance

Exp : 15yrs to 20yrs Location: Chennai/Noida GEN AI ARCHITECT Domain :- Manufacturing, Oil and Gas, Life science, health care, TTL ( Primary domain ) Tire 1 companies. Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

CryptoChakra is a leading cryptocurrency analytics and education platform committed to demystifying digital asset markets for traders, investors, and enthusiasts worldwide. By integrating cutting-edge AI-driven predictions, blockchain analytics, and immersive learning modules, we empower users to navigate market volatility with confidence. Our platform combines advanced tools like Python, TensorFlow, and AWS to deliver actionable insights, risk assessments, and educational content that bridge the gap between complex data and strategic decision-making. As a remote-first innovator, we champion accessibility in decentralized finance, fostering a future where crypto literacy is universal. Position: Fresher Data Scientist Intern Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s data science team to gain hands-on experience in transforming raw blockchain data into impactful insights. This role is tailored for recent graduates or students eager to apply foundational skills in machine learning, statistical analysis, and data storytelling to real-world crypto challenges. Key Responsibilities Data Processing: Clean and preprocess blockchain datasets from sources like Etherscan or CoinGecko using Python/R. Predictive Modeling: Assist in building and testing ML models for price forecasting or DeFi trend analysis. Insight Generation: Create visualizations (Tableau, Matplotlib) to simplify complex trends for educational content. Collaboration: Work with engineers and educators to refine analytics tools and tutorials. Documentation: Maintain clear records of methodologies and findings for team reviews. Who We’re Looking For Technical Skills Foundational knowledge of Python/R for data manipulation (Pandas, NumPy). Basic understanding of statistics (regression, hypothesis testing). Familiarity with data visualization tools (Tableau, Power BI) or libraries (Seaborn). Curiosity about blockchain technology, DeFi, or crypto markets. Soft Skills Eagerness to learn and adapt in a fast-paced remote environment. Strong problem-solving mindset and attention to detail. Ability to communicate technical concepts clearly. Preferred (Not Required) Academic projects involving data analysis or machine learning. Exposure to SQL, AWS, or big data tools. Pursuing a degree in Data Science, Computer Science, Statistics, or related fields. What We Offer Mentorship: Guidance from experienced data scientists and blockchain experts. Skill Development: Training in real-world tools like TensorFlow and Tableau. Portfolio Projects: Contribute to live projects featured on CryptoChakra’s platform. Flexibility: Remote work with adaptable hours for students.

Job Summary JD- Having a background in Retail will be a Big Plus. Advanced in Python: Proven experience with core libraries like pandas, numpy, scikit-learn, and matplotlib, plus advanced tools like statsmodels, xgboost, lightgbm, prophet, deep learning-based forecasting (e.g. Neural forecast). Advanced Forecasting Techniques: Experience with ensemble models, hierarchical forecasting, probabilistic forecasting, and multivariate time series. Pricing Models: Background in price elasticity modeling, good to have experience in optimization - at least one of the 2 resources Model Evaluation: Familiarity with time-series cross-validation, backtesting, and metrics such as MAE, MAPE, RMSE, SMAPE, and prediction intervals. SQL Proficiency: Ability to query and manage data from relational databases. Version Control: Comfortable working with Git/GitHub for collaboration and code management. Mandate skill- python and advanced forcesting skills with models like arima etc. Any shift- Second shift Location-Banglore

Job Summary JD- Having a background in Retail will be a Big Plus. Advanced in Python: Proven experience with core libraries like pandas, numpy, scikit-learn, and matplotlib, plus advanced tools like statsmodels, xgboost, lightgbm, prophet, deep learning-based forecasting (e.g. Neural forecast). Advanced Forecasting Techniques: Experience with ensemble models, hierarchical forecasting, probabilistic forecasting, and multivariate time series. Pricing Models: Background in price elasticity modeling, good to have experience in optimization - at least one of the 2 resources Model Evaluation: Familiarity with time-series cross-validation, backtesting, and metrics such as MAE, MAPE, RMSE, SMAPE, and prediction intervals. SQL Proficiency: Ability to query and manage data from relational databases. Version Control: Comfortable working with Git/GitHub for collaboration and code management. Mandate skill- python and advanced forcesting skills with models like arima etc. Any shift- Second shift Location-Banglore

Role**: Digital : Data Science Required Technical Skill Set: Digital : Data Science Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 90Days only Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

Apponix Technologies is seeking an experienced and passionate Python Full Stack and Data Analytics Trainer/Faculty to join our team. The ideal candidate will have hands-on experience in development and a flair for teaching. Key Responsibilities : Deliver classroom and/or online training sessions in: Python Programming (Core + Advanced) Django / Flask Framework HTML, CSS, JavaScript, Bootstrap Database (MySQL/PostgreSQL) Data Analysis using Python (Pandas, NumPy, Matplotlib, Seaborn) Introduction to Machine Learning and Data Visualization tools (Power BI/Tableau is a plus) Prepare course materials, assignments, and real-time projects Conduct assessments and support student queries Keep up-to-date with industry trends and curriculum development Required Skills & Qualifications : Bachelor's degree in Computer Science, IT, or related field 2+ years of industry/training experience in Python Full Stack and/or Data Analytics Strong communication and presentation skills Prior teaching/training experience is highly preferred Nice to Have : Exposure to tools like Jupyter, Anaconda, Git/GitHub Knowledge of Power BI / Tableau Knowledge of deployment (Heroku, AWS, etc.) Salary : Competitive Job Type : [Full-Time / Part-Time / Freelance ] Work Location : [In-office] Job Types: Full-time, Part-time, Freelance Contract length: 12 months Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Evening shift Morning shift Supplemental Pay: Commission pay Overtime pay Education: Secondary(10th Pass) (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person

Job Title: Python FullStack Developer Location: Hyderabad Type: Full-time Client: Direct TECHNICAL EXPERTISE: Minimum 6+ years of relevant experience is a MUST 1.Good understanding of the latest Python and Python Libraries 2.In-depth knowledge and experience using Python, Django, Flask, React and Node Js 3.Expertise in Python Libraries like Numpy, Pandas, Matplotlib, seaborn, Rasa, Rasa X etc. 4.Expertise in Web services – REST and SOAP 5.Extensive knowledge in design, development and implementation of highly scalable and reliable micro services. 6.Expert in front end technologies such as React, Angular, Java Script, HTML, CSS and bootstrap. 7.Knowledge and experience in packaging and deploying containerized applications. 8.Familiarity with DevOps tools such as docker, Kubernetes, git, Jenkins for CI/CD is required. 9.Familiarity with build and development tools is expected. 10.Familiarity with deploying the applications on Web servers/Application servers. 11.Knowledge of Web Application Servers and MQ (Messaging Queue) technologies and Apache Kafka messaging. 12.Experience with SQL and Non-SQL databases and ability to write complex SQL queries 13.Experience in unit & integration testing SOFT SKILLS 1.Excellent written, verbal and communication skills 2.Ability to write professional technical documentation. 3.Able to actively follow progress and deliver information on a frequent basis