1425 Matplotlib Jobs - Page 14

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.

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

About Klook We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What You'll Do Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated: Stay abreast of the latest advancements in data science and pricing optimization techniques. What You'll Need Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We’re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter (“Agency”). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook’s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing.

Job Title: Data Science Engineer – Thiruvarur (On-Site) Are you passionate about AI, Machine Learning, and Data Engineering? Join us as a Data Science Engineer and work on cutting-edge projects that blend ML , agentic AI systems , Java development , and data visualization . 🧠 Location: Thiruvarur (On-site) 📅 Type: full time 🌟 What You’ll Do: Assist in developing and training ML models (classification, NLP, prediction). Build data pipelines and preprocessing workflows using Python or Java . Contribute to agentic AI systems (e.g., AutoGPT, LangChain agents). Create insightful visualizations to communicate data-driven insights. Perform EDA to uncover trends and patterns. Help integrate AI modules into Java-based backend systems . Participate in AI/ML research, prototyping, and documentation. ✅ What We’re Looking For: Pursuing a degree in Computer Science , AI , Data Science , or related field. Strong in Java and Python programming. Familiarity with ML tools (scikit-learn, TensorFlow, PyTorch). Passion or experience in LLM-based agent systems . Good understanding of data structures , algorithms , and coding best practices. Experience with data viz tools like Matplotlib, Seaborn, or Plotly. Curious, collaborative, and eager to learn cutting-edge tech.

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 Identification 1021960 Job Category NPI-HSRT Integration Data Science Posting Date 07/17/2025, 12:17 AM Job Schedule Full time Locations Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN Work Schedule Normal Shift New (PMT)

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 Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

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.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

Position: Data Scientist Intern Company: Evoastra Ventures Pvt. Ltd. Location: Remote Duration: 1 month Stipend: Unpaid Type: Internship (Remote) Open To: Students, freshers, and early professionals About Evoastra Ventures Evoastra Ventures is a research-first data and AI solutions company focused on delivering value through predictive analytics, market intelligence, and technology consulting. Our goal is to empower businesses by transforming raw data into strategic decisions. As an intern, you will work with real-world datasets and gain industry exposure that accelerates your entry into the data science domain. Role Overview We are seeking highly motivated and analytical individuals for our Data Scientist Internship. This role is designed to give you hands-on exposure to real datasets, problem-solving tasks, and model development under the guidance of industry professionals. Responsibilities Perform data cleaning, preprocessing, and transformation Conduct exploratory data analysis (EDA) and identify trends Assist in the development and evaluation of machine learning models Contribute to reports and visual dashboards summarizing key insights Document workflows and collaborate with team members on project deliverables Participate in regular project check-ins and mentorship discussions Tools & Technologies Python, NumPy, Pandas, Scikit-learn Matplotlib, Seaborn Jupyter Notebook GitHub (for collaboration and version control) Power BI or Google Data Studio (optional but preferred) Eligibility Criteria Basic knowledge of Python, statistics, and machine learning concepts Good analytical and problem-solving skills Willingness to learn and adapt in a remote, team-based environment Strong communication and time-management skills Laptop with stable internet connection What You Will Gain Verified Internship Certificate Letter of Recommendation (based on performance) Real-time mentorship from professionals in data science and analytics Project-based learning and portfolio-ready outputs Priority consideration for future paid internships or full-time roles at Evoastra Recognition in our internship alumni community Application Process Submit your resume via our internship application form at www.evoastra.in Selected candidates will receive an onboarding email with further steps This internship is fully remote and unpaid Build your career foundation with hands-on data science projects that make an impact.

The role involves supporting the European ESG team in focusing on thematic trends across regional & sectoral aggregates and individual stocks related to Environment, Social, and Governance guidelines. As part of this role, your primary responsibilities will include developing and maintaining excel models to assess fund ownership for Global companies, sectors, and regions. You will be required to conduct thorough data quality checks on third party ESG data using financial databases and company filings to ensure the reliability of data for modeling purposes. Additionally, creating, updating, and managing comprehensive Excel databases on ESG data will be part of your routine tasks. You will also be involved in assisting the team in conducting back-tests of ESG related strategies, utilizing quantitative techniques to analyze historical and future trends. Furthermore, you will contribute to research report writing and summarizing peer research on thematic topics, primarily related to investment strategy for ESG investors. Supporting the onshore team on a daily basis, handling ad-hoc requests, and analyzing macro-level ESG trends for thematic reports will also be within your scope of work. The ideal candidate for this role would be proactive, possess experience in top-down macro research, have basic knowledge of Python coding, and demonstrate a keen interest in working within the ESG domain. Key skills required include advanced proficiency in MS Excel and report writing. Prior experience with VBA macros and Python, especially with libraries such as Numpy, Pandas, and Matplotlib, is preferred. Additionally, familiarity with financial databases like Bloomberg Finance LP, Datastream Eikon, or similar platforms, along with knowledge of various company filings, is desirable. A fundamental understanding of finance, including valuations, financial ratios, and the ability to extract data from company filings, would be beneficial for this role.,

About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Below Are the links to all the social media channels. Website - http://fireblazeaischool.in LinkedIN - https://www.linkedin.com/company/fireblazeaischool/ Youtube - https://www.youtube.com/c/FireblazeAISchool Facebook - https://www.facebook.com/fireblazeaischool/ Instagram - https://www.instagram.com/fireblazeaischool/ Twitter - https://twitter.com/FireblazeAi Google Nagpur - https://g.page/fireblazeaischoolnagpur?share Google Pune - https://g.page/fireblazeaischoolpune?share Spotify Podcast - https://open.spotify.com/show/0VXm4ikfRG29UcwlMnaDNJ Job Description Job Title : Data Analyst Location: Ahmedabad Employment Type: Full-Time (Night Shift) Salary: As per the interview Job Summary We are looking for a detail-oriented and analytical Data Analyst who is proficient in Python, Machine Learning, SQL, Power BI, and Advanced Excel. The ideal candidate will be responsible for data wrangling, statistical modeling, visualization, and reporting to support data-driven decision-making. Key Responsibilities Collect, process, and clean large datasets from multiple sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop and deploy Machine Learning models for predictive and classification tasks. Write optimized SQL queries to extract and manipulate data. Create interactive dashboards and reports using Power BI. Utilize Advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc.) for data analysis and reporting. Present findings to stakeholders in a clear and concise manner. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Requirements Required Skills & Qualifications: Proficiency in Python with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn. Strong knowledge of Machine Learning algorithms (Regression, Classification, Clustering, etc.). Experience with SQL for data extraction, joins, and performance tuning. Hands-on experience in building dashboards and reports using Power BI. Advanced knowledge of MS Excel including formulas, data modeling, and automation. Good problem-solving and communication skills. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#FF6A0E;border-color:#FF6A0E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Roles And Responsibilies Design, develop, and maintain scalable web applications and APIs using Django, Flask, and FastAPI . Write clean, efficient, and maintainable Python code following best practices. Develop RESTful services and integrate with front-end components. Work with NumPy and pandas for data manipulation and processing as needed. Optimize application performance and ensure scalability. Collaborate with cross-functional teams including front-end developers, designers, and product managers. Write and maintain comprehensive technical documentation. Perform code reviews and mentor junior team members.

Company Description We at Prometteur Solutions Pvt. Ltd. are a team of IT experts, who came with a promise of delivering technology-empowered business solutions. We provide world-class software and web development services that focus on playing a supportive role to your business and its holistic growth. Our highly-skilled associates and global delivery capabilities ensure the accessibility and scale to align client's technology solutions with their business needs. Our offerings span the entire IT lifecycle: from Consulting through Packaged, Custom, and Cloud Applications as well as a variety of Infrastructure Services. Job Description Looking For Only Freshers Requirements: Collaborate with the team to design, develop, and maintain web applications using Python. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug issues in existing applications. Database design and management. Participate in code reviews and contribute to team knowledge sharing. Learn and adapt to new technologies, frameworks, and development tools. Skills: Good Understanding of web frameworks like Flask or Django. Good familiarity with libraries like NumPy, Pandas (for data manipulation), and Matplotlib (for simple visualizations). Good Understanding of loops, data types, condition decision statement Good understanding Of OOPs concepts Familiarity with HTML, CSS, JavaScript, and jQuery. Knowledge of MySQL or any other relational database Familiarity with version control tools like Git (added advantage). Educational Qualification: Bachelor's degree in computer science, IT, or related fields

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with programming languages such as Python or R for data analysis.- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.- Knowledge of data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Python Microservices Developer with AI Integration Experience: 5+ Years Location: Gurugram, India Job Type: Full-Time Work Mode: Onsite Job Overview: We are seeking a highly skilled Python Developer with experience in building microservices-based architectures and integrating AI/ML models into enterprise systems. The ideal candidate will work closely with data scientists, DevOps, and backend teams to create intelligent, scalable, and production-ready systems. Key Responsibilities: Design, develop, and deploy robust Python microservices for high-performance applications Collaborate with AI/ML teams to integrate trained models into microservices for real-time inference Build and maintain RESTful APIs to expose microservices and AI features Ensure high availability, performance, and security of microservices in production Optimize data pipelines and backend processes for scalability Participate in code reviews, architecture discussions, and agile ceremonies Monitor and troubleshoot microservices in production environments Required Skills & Experience: 5+ years of professional experience with Python and microservices architecture Strong knowledge of FastAPI , Flask , or Django REST Framework Experience deploying or integrating AI/ML models (e.g., scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face) Familiarity with containerization and orchestration tools like Docker and Kubernetes Hands-on experience with REST APIs , JSON , and message queues (Kafka/RabbitMQ) Experience working with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines Proficient in using databases (SQL & NoSQL PostgreSQL, MongoDB, etc.) Preferred Qualifications: Exposure to AI/ML model deployment , model versioning, and inference best practices Experience using MLflow , Airflow , or similar workflow tools Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack Strong understanding of software design principles and performance optimization

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 5+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Gurgaon, India We are seeking an Associate Consultant to join our India team based in Gurgaon. This role at Viscadia offers a unique opportunity to gain hands-on experience in the healthcare industry, with comprehensive training in core consulting skills such as critical thinking, market analysis, and executive communication. Through project work and direct mentorship, you will develop a deep understanding of healthcare business dynamics and build a strong foundation for a successful consulting career. ROLES AND RESPONSIBILITIES Technical Responsibilities Design and build full-stack forecasting and simulation platforms using modern web technologies (e.g., React, Node.js, Python) hosted on AWS infrastructure (e.g., Lambda, EC2, S3, RDS, API Gateway). Automate data pipelines and model workflows using Python for data preprocessing, time-series modeling (e.g., ARIMA, Exponential Smoothing), and backend services. Develop and enhance product positioning, messaging, and resources that support the differentiation of Viscadia from its competitors. Conduct research and focus groups to elucidate key insights that augment positioning and messaging Replace legacy Excel/VBA tools with scalable, cloud-native applications, integrating dynamic reporting features and user controls via web UI. Use SQL and cloud databases (e.g., AWS RDS, Redshift) to query and transform large datasets as inputs to models and dashboards. Develop interactive web dashboards using frameworks like React + D3.js or embed tools like Power BI/Tableau into web portals to communicate insights effectively. Implement secure, modular APIs and microservices to support modularity, scalability, and seamless data exchange across platforms. Ensure cost-effective and reliable deployment of solutions via AWS services, CI/CD pipelines, and infrastructure-as-code (e.g., CloudFormation, Terraform). Business Responsibilities Support the development and enhancement of forecasting and analytics platforms tailored to the needs of pharmaceutical clients across various therapeutic areas Build in depth understanding of pharma forecasting concepts, disease areas, treatment landscapes, and market dynamics to contextualize forecasting models and inform platform features Partner with cross-functional teams to ensure forecast deliverables align with client objectives, timelines, and decision-making needs Contribute to a culture of knowledge sharing and continuous improvement by mentoring junior team members and helping codify best practices in forecasting and business analytics Grow into a client-facing role, combining an understanding of commercial strategy with forecasting expertise to lead engagements and drive value for clients QUALIFICATIONS Bachelor’s degree (B.Tech/B.E.) from a premier engineering institute, preferably in Computer Science, Information Technology, Electrical Engineering, or related disciplines 2+ years of experience in full-stack development, with a strong focus on designing, developing, and maintaining AWS-based applications and services SKILLS & TECHNICAL PROFICIENCIES Technical Skills Proficient in Python, with practical experience using libraries such as pandas, NumPy, matplotlib/seaborn, and statsmodels for data analysis and statistical modeling Strong command of SQL for data querying, transformation, and seamless integration with backend systems Hands-on experience in designing and maintaining ETL/ELT data pipelines, ensuring efficient and scalable data workflows Solid understanding and applied experience with cloud platforms, particularly AWS; working familiarity with Azure and Google Cloud Platform (GCP) Full-stack web development expertise, including building and deploying modern web applications, web hosting, and API integration Proficient in Microsoft Excel and PowerPoint, with advanced skills in data visualization and delivering professional presentations Soft Skills Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical stakeholders Strong analytical thinking and problem-solving abilities, with a structured and solution-oriented mindset Demonstrated ability to work independently as well as collaboratively within cross-functional teams Adaptable and proactive, with a willingness to thrive in a dynamic, fast-growing environment Genuine passion for consulting, with a focus on delivering tangible business value for clients Domain Expertise (Good to have) Strong understanding of pharmaceutical commercial models, including treatment journeys, market dynamics, and key therapeutic areas Experience working with and interpreting industry-standard datasets such as IQVIA, Symphony Health, or similar secondary data sources Familiarity with product lifecycle management, market access considerations, and sales performance tracking metrics used across the pharmaceutical value chain

About Us: Analytics Circle is a leading institute dedicated to empowering individuals with in-demand data analytics skills. We are passionate about bridging the industry-academia gap through practical, hands-on training in the most sought-after tools and technologies in data analytics. Job Description: We are looking for a highly skilled and passionate Data Analyst Trainer to join our growing team. The ideal candidate should have real-world industry experience and a strong command over Advanced Excel, Power BI, Tableau, SQL, and Python. As a trainer, you will be responsible for delivering engaging and insightful sessions to our learners, preparing them for careers in data analytics. Key Responsibilities: Deliver interactive and practical training sessions on: Advanced Excel Power BI Tableau SQL Python for Data Analysis Design and update course materials, case studies, and hands-on projects based on current industry trends. Evaluate student progress through assignments, projects, and assessments. Provide one-on-one mentorship and support to learners when needed. Assist in curriculum development and continuous improvement of training content. Stay updated with the latest developments in data analytics tools and technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field. Minimum 3+ years of experience in the data analytics domain. Proven training or teaching experience is preferred. Proficiency in: Excel (including pivot tables, lookups, macros, dashboards) Power BI (DAX, Power Query, data modeling) Tableau (data visualization, dashboard building) SQL (queries, joins, data manipulation) Python (Pandas, NumPy, Matplotlib, data analysis workflows) Strong communication and presentation skills. Passion for teaching and mentoring. Nice to Have: Industry certifications in relevant tools (e.g., Microsoft, Tableau, Python). If you have all these expertise, training experience and available on weekdays then only contact us on 9999190695 Experience conducting online training/webinars. Job Types: Full-time, Part-time Pay: ₹10,000.00 - ₹25,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Ability to commute/relocate: Laxmi Nagar, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Weekdays Availability Monday to Friday Interested in Teaching/Trainer job? Education: Master's (Required) Experience: Data science: 5 years (Preferred) Teaching: 3 years (Required) Location: Laxmi Nagar, Delhi, Delhi (Required) Shift availability: Day Shift (Required) Work Location: In person

Designation : Engineer / Sr. Engineer - End-of-Line Tester Development Educational Qualification : B.Tech/B.E. /M.Tech in Electronics & Communication, Electrical, Instrumentation, Mechatronics, or Computer Science Engineering. Technical Skills Required : 1. Design and implement data-driven applications using Python, MySQL, Power BI, Excel, and JavaScript to support real-time decision-making and enhance process efficiency. 2. Develop and simulate control system models using MATLAB/Simulink for system validation, optimization, and predictive algorithm deployment. 3. Program, integrate, and test industrial control systems using CODESYS, ensuring robust and reliable performance in automated manufacturing environments. 4. Contribute to the development and testing of MEMS sensor-based systems for industrial applications. 5. Collaborate on computer vision and IIoT projects to enhance machine intelligence and smart factory capabilities (Industry 4.0). 6. Ensure adherence to industry standards (ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA). 7. Conduct rigorous sensor testing and validation, and support integration with RTOS and real-time communication protocols. 8. Maintain technical documentation and actively contribute to innovation and research initiatives. Additional Desirable Skills : Familiarity with ISO & IPC standards for electrical testing Ability to work with mechanical fixtures and robotic arms for automated testing. Experience with machine learning for predictive analytics (preferred but not mandatory). Strong problem-solving skills and ability to work independently. · Programming: Python, OOPs, Node-RED, NumPy, Pandas, Matplotlib, OpenCV, Seaborn, JavaScript Tools & Platforms: MySQL, Power BI, MATLAB Simulink, LabVIEW, CODESYS, Excel Technical Expertise: Sensor Testing & Validation, RTOS, IIOT, Instrumentation & Control, Drives & Controls Industry Standards: ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA Communication Protocols: I2C, SPI, UART, SERCOS, Profibus, Profinet, Ethernet, Modbus, Fieldbus, OPC UA. Experience Required : 3-7 years in designing and developing automated test systems for electrical/electronic components. Hands-on experience in building EOL testers for products like switches, connectors, relays, and wire harnesses. Experience in working with DAQ systems and real-time monitoring applications. Practical exposure to industrial automation & quality control testing. Job Types: Full-time, Permanent Pay: ₹22,000.00 - ₹40,000.00 per month Benefits: Health insurance Leave encashment Schedule: Fixed shift Supplemental Pay: Yearly bonus Work Location: In person

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹90,000.00 per month Education: Bachelor's (Preferred) Experience: AI/Machine learining: 4 years (Preferred) Work Location: In person

Organization: MOL Information Technology (MOL-IT) is the Digital Transformation Partner of the MOL Group, delivering customized technology solutions that drive efficiency, innovation, and sustainability across shipping, logistics, and supply chain domains. Established in 1997, MOL-IT operates from three locations— Kolkata, Hyderabad and Mumbai —with a team of over 400 software and management professionals . In alignment with the MOL Group’s strong commitment to sustainable growth , MOL-IT is advancing its digital capabilities to support decarbonization, automation, and smart operations. As part of its growth strategy, MOL-IT continues to deepen its impact within the MOL Group by aligning digital transformation initiatives with the Group’s long-term sustainability goals. Key Responsibilities Collect, clean, and analyze structured and unstructured data from various sources. Develop predictive models and machine learning algorithms to support business decisions. Design experiments and A/B tests to validate hypotheses and drive continuous improvement. Create data visualizations and dashboards to communicate findings to stakeholders. Collaborate with cross-functional teams including Engineering, Product, and Marketing. Translate business challenges into data problems and deliver practical solutions. Ensure the quality, integrity, and security of data used in analysis and reporting. Qualifications Required: Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or related field. 1+ years of experience in a data science or analytics role. Proficiency in Python, R, or similar programming languages. Experience with SQL and working with large datasets. Solid understanding of statistical analysis and machine learning techniques. Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib/seaborn). Preferred: Knowledge of cloud platforms (AWS, GCP, or Azure) and big data tools (e.g., Spark, Hadoop). Strong communication skills and ability to present complex data in a clear and actionable manner. CTC -As per the industry standard

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

Job description: ESG Specialist team are set of skilled and domain knowledge individuals who build and maintain the content currently covered on existing databases and test future database, tools and systems. The Specialist team drives automation and simplification to bring in efficient processes and quality of updates within ESG Operations. The successful applicant will be working in an agile environment and will work on projects to deliver automation and process simplifications solutions. Roles, Responsibilities & Key Accountabilities: Develop and deploy machine learning and deep learning models to solve complex problems. Conduct statistical analysis to identify trends, patterns, and insights. Application of data science skills to develop intelligent systematic checks on textual and Boolean data to identify incorrect and missing data Manage data extraction, reporting, data analysis. Use SQL to query and manage large datasets. Implement web scraping techniques to gather relevant data from various sources. Work with large language models (LLMs) for natural language processing tasks. Required Skills: Proficiency in ML, deep learning, and statistical analysis techniques. Strong Python & SQL skills for data querying and manipulation. Proficiency in Microsoft Power Platform. Experience with web scraping tools and frameworks. Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc. Strong problem-solving and analytical skills. Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI. Desired Skills: Knowledge of LSEG proprietary systems for automations including LEAD & DEMING. Understanding of ESG content and marketplace. Understanding of 6 sigma principles. Education: Data Science Certification or Software Engineer or study in computer science subject area or Any subject area of study along with expertise in programming languages like Python, VBA, SQL etc. People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

We are seeking a Senior / Lead Data Scientist with hands-on experience in ML/DL, NLP, GenAI, LLMs, and Azure Databricks to lead strategic data initiatives. In this role, you'll lead end-to-end project execution, work on advanced AI/ML models, and guide junior team members. Your expertise will help align data-driven solutions with business goals and deliver real impact. Key Responsibilities Collect, clean, and validate large volumes of structured and unstructured data Design, develop, and implement ML/DL models, NLP solutions, and LLM-based applications Leverage Generative AI techniques to drive innovation in product development Lead Azure Databricks-based workflows and scalable model deployment pipelines Interpret data, analyze results, and present actionable insights to stakeholders Own the delivery of full data science project lifecycles from problem scoping to production deployment Collaborate cross-functionally with engineering, product, and business teams Create effective visualizations, dashboards, and reports Conduct experiments, research new techniques, and continuously enhance model performance Ensure alignment of data initiatives with organizational strategy and KPIs Mentor junior data scientists and contribute to team growth and Skills & Qualifications : 6+ years of hands-on experience in Data Science or Machine Learning roles Strong command over Python (R/MATLAB is a plus) Hands-on experience with NLP, Chatbots, GenAI, LLMs (e.g., GPT, LLaMA) Proficient in Azure Databricks (Mandatory) Experience with both SQL and NoSQL databases Solid grasp of statistical modeling, data mining, and predictive analytics Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Experience in deploying ML models in production environments Bachelors or Masters degree in Computer Science, Mathematics, Data Science, or related field Nice To Have Experience in RPA tools, MLOps, or AI product development Exposure to cloud platforms (Azure preferred; AWS/GCP is a bonus) Familiarity with version control and CI/CD practices (ref:hirist.tech)