681 Matplotlib Jobs

Were looking for a Python-based AI/ML Developer who brings solid hands-on experience in building machine learning models and deploying them into scalable, production-ready APIs using FastAPI or Django. The ideal candidate is both analytical and implementation-savvy, capable of transforming models into live services and integrating them with real-world systems. Key Responsibilities Design, train, and evaluate machine learning models (classification, regression, clustering, etc.) Build and deploy scalable REST APIs for model serving using FastAPI or Django Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems Develop clean, modular, and optimized Python code using best practices Perform data preprocessing, feature engineering, and data visualization using Pandas , NumPy , Matplotlib , and Seaborn Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker) Manage API security with JWT and OAuth mechanisms Participate in Agile development with code reviews, Git workflows, CI/CD pipelines Must-Have Skills Python & Development Proficient in Python 3.x, OOP, and clean code principles Experience with Git, Docker, debugging, unit testing AI/ML Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling Hands-on with Scikit-learn , XGBoost , LightGBM Web Frameworks FastAPI : API routes, async programming, Pydantic, JWT Django : REST Framework, ORM, Admin panel, Middleware DevOps & Cloud Experience with containerized deployment using Docker Exposure to cloud platforms: AWS , Azure , or GCP CI/CD with GitHub Actions, Jenkins, or GitLab CI Databases SQL: PostgreSQL, MySQL NoSQL: MongoDB, Redis ORM: Django ORM, SQLAlchemy Bonus/Nice-to-Have Skills Model tracking/versioning tools (MLflow, DVC) Knowledge of LLMs , transformers, vector DBs (Pinecone, Faiss) Airflow, Prefect, or other workflow automation tools Basic frontend skills (HTML, JavaScript, React) Requirements Education : B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields Experience : 36 years of industry experience in ML development and backend API integration Strong communication skills and ability to work with cross-functional teams Role & responsibilities

Responsibilities: Design and implement robust and scalable data architectures, including data warehouses, data lakes, and operational data stores, primarily leveraging Oracle Cloud services. Develop and maintain data models (conceptual, logical, and physical) that align with business requirements and ensure data integrity and consistency. Define data governance policies and procedures to ensure data quality, security, and compliance. Collaborate with data engineers to build and optimize ETL/ELT pipelines for efficient data ingestion, transformation, and loading. Develop and execute data migration strategies to Oracle Cloud. Utilize strong SQL skills to query, manipulate, and analyze large datasets from various sources. Leverage Python and relevant libraries (e.g., Pandas, NumPy) for data cleaning, transformation, and analysis. Design and develop interactive and insightful data visualizations using tools like [Specify Visualization Tools - e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly] to communicate data-driven insights to both technical and non-technical stakeholders. Work closely with business analysts and stakeholders to understand their data needs and translate them into effective data models and visualizations. Ensure the performance and reliability of data visualization dashboards and reports. Stay up-to-date with the latest trends and technologies in data architecture, cloud computing (especially Oracle Cloud), and data visualization. Troubleshoot data-related issues and provide timely resolutions. Document data architectures, data flows, and data visualization solutions. Participate in the evaluation and selection of new data technologies and tools. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. Proven experience (typically 5+ years) as a Data Architect, Data Modeler, or similar role. Deep understanding of data warehousing concepts, dimensional modeling (e.g., star schema, snowflake schema), and ETL/ELT processes. Extensive experience working with relational databases, particularly Oracle , and proficiency in SQL . Hands-on experience with Oracle Cloud data services (e.g., Autonomous Data Warehouse, Object Storage, Data Integration). Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Demonstrated ability to create compelling and effective data visualizations using industry-standard tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly). Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences. Experience with data governance and data quality principles. Familiarity with agile development methodologies. Ability to work independently and collaboratively within a team environment.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred Technical And Professional Experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an AI Engineering Intern , you will work closely with our AI research and development team to build, test, and deploy machine learning models and AI solutions. You will gain hands-on experience with various AI techniques and technologies, helping to develop and improve AI-powered systems. Responsibilities: Assist in the development and optimization of machine learning models and algorithms. Support data preprocessing, cleaning, and analysis for AI-related projects. Collaborate with the AI team to implement and integrate AI solutions into production systems. Contribute to the design and development of AI systems, including NLP, computer vision, or other domains based on project needs. Help in writing clean, scalable, and well-documented code for AI applications. Participate in the testing and validation of AI models, and identify areas for improvement. Stay up-to-date with the latest advancements in AI and machine learning technologies. Qualifications: Currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field (preferably at the undergraduate or graduate level). Solid understanding of machine learning concepts and algorithms (e.g., supervised learning, unsupervised learning, deep learning, etc.). Familiarity with programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus. Strong problem-solving skills and analytical thinking. Ability to work independently as well as part of a collaborative team. Good communication skills, with the ability to present ideas and technical concepts clearly. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with data wrangling and data visualization tools (e.g., Pandas, Matplotlib, Seaborn). Knowledge of advanced AI topics such as reinforcement learning, generative models, or NLP. Exposure to version control systems (e.g., Git). Benefits: Mentorship from experienced AI engineers. Hands-on experience with state-of-the-art AI technologies. Opportunity to contribute to real-world AI projects.

3+ years experience of building software solutions using Python Strong fundamentals of Python like Python Data Layout, Generators, Decorators, File IO, Dynamic Programming, Algorithms etc. Working knowledge of Python Standard Libraries and libraries like any ORM library, numpy, scipy, matplotlib, mlab etc. Knowledge of fundamental design principles to build a scalable application Knowledge of Python web frameworks Working knowledge of core Java is added plus Knowledge of web technologies (HTTP, JS) is added plus A financial background will be added plus Any technical capabilities in the area of big data analytics is also added plus Salary Package: As per the industry standard Preferred Programs: BE or BTech or equivalent degree with strong Mathematics and Statistics foundation (example, B.Sc. or M.Sc. in Mathematics & Computer Science)

We are looking for a Senior AI/Data Scientist with 3-5 years of experience who is passionate about building AI and machine learning solutions for real-world business problems. As part of our AI team, you will design, develop and deploy advanced machine learning models, Generative AI applications and AI-powered decision systems. You will work with structured and unstructured data, develop predictive models, AI-driven insights and business-aware Generative AI agents that enhance productivity and decision-making. Key Responsibilities • Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems. • Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. • Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions. • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG). • Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains. • Deliver embedded analytics within business systems to drive real-time operational insights. Required Skills & Experience • 3–5 years of experience in applied Data Science or AI roles. • Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities. • Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions. • Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing. • Strong skills in working with structured and unstructured data, including advanced feature engineering. • Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoE’s). • Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI. • Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus. What We Look for (Values & Behaviours) • AI-First Thinking – Passion for leveraging AI to solve business problems. • Data-Driven Mindset – Ability to extract meaningful insights from complex data. • Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset. • Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities. • Business Impact – Focus on measurable outcomes and real-world adoption of AI. • Continuous Learning – Stay updated with the latest AI trends, research and best practices. Why Join Us? • Work on cutting-edge AI & GenAI projects. • Be part of a high-Caliber AI team solving complex business challenges. • Exposure to global enterprises and AI-driven decision-making. • Competitive compensation and fast-track career growth in AI. • Get mentored by best-in-class AI leaders who will help shape you into a top AI professional

Experience Required 2 to 3 years Job Description About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview Axis My India is seeking a skilled Data Analyst & Data Visualizer with at least 2 years of experience to join our team supporting the Axis My India “a” APP and custom projects. In this role, you will be responsible for analyzing, and interpreting data as well as designing impactful visualizations and dashboards. Your work will help drive data-driven decision-making, enhance user engagement, and support the company’s mission to connect and resolve problems for 250 million Indian households through innovative digital solutions. Key Responsibilities Collect, clean, and process data from multiple sources including databases, APIs, and third-party platforms to ensure data accuracy and reliability for the APP data and similarly for other custom projects. Analyze data to identify trends, patterns, and actionable insights that inform product development, market research, and social impact initiatives. Design and develop interactive dashboards and visualizations using tools such as Power BI or similar platforms to communicate findings clearly. Present complex data insights using fusion charts, concise reports and visual formats to technical and non-technical stakeholders. Collaborate closely with cross-functional teams including product, Technology, Operations and research to define analytics and visualization requirements. Monitor and report on key performance indicators (KPIs) relevant to the app’s usage, impact, and outreach. Ensure data integrity and governance throughout the data lifecycle. Stay updated on the latest analytics and visualization tools, techniques, and best practices to continuously improve the data experience for Axis My India projects and APP users. Creating the presentations, documents, reports based on requirement Required Skills & Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Design, or a related field. Minimum 2 years of professional experience in data analysis and data visualization roles. Proficiency in Python and Power BI. Proficient with basic statistics. Experience with data visualization tools like Power BI, PowerPoint and excel. Strong analytical, problem-solving, and data storytelling skills. Knowledge of data blending, dashboard optimization, and UI/UX principles. Excellent communication and collaboration skills, with the ability to translate complex data into actionable insights. Ability to manage multiple projects and deliver results in a fast-paced environment. Preferred Experience Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing and visualizing multiple survey data. Worked on basic statistics for data analysis Requirements Technical Skills Python: Data manipulation, analysis, and visualization with libraries like Pandas, NumPy, Matplotlib, and Seaborn. Power BI: Industry-standard tools for creating interactive dashboards and visual reports, enabling clear communication of insights to stakeholders. Matplotlib/Seaborn: Python libraries for custom visualizations and advanced charting. Excel: Useful for basic data analysis, quick visualizations, and reporting Proficiency in cleaning, preprocessing, and transforming raw data-handling missing values, outliers, duplicates, and standardizing formats to ensure data accuracy and reliability. Must be strong in using Statistical concepts for analysis and Visual design principles Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Data Transformation: Ability to transform complex data into compelling narratives that highlight key findings and support data-driven decision-making. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal teams, stakeholders, including senior executives, through reports, dashboards and presentations. Working with Cross-functional teams: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. 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CryptoChakra is a forward-thinking cryptocurrency analytics and education platform committed to making data-driven insights accessible and actionable for users worldwide. As we scale our operations and enhance our offerings, we prioritize transparency, innovation, and user-centric design. Our team is dedicated to transforming complex blockchain data into clear, compelling visual narratives that empower decision-making and foster crypto literacy. Role Description Position: Fresher Data Visualisation Analyst – Remote Employment Type: Internship (Paid or unpaid, depending on suitability and project requirements) Key Responsibilities: Data Visualisation Design: Create engaging and intuitive charts, graphs, dashboards, and infographics to communicate trends, patterns, and insights from cryptocurrency market data. Data Interpretation: Collaborate with data analysts and product teams to understand analysis results and translate them into visually compelling stories for diverse audiences. Tool Proficiency: Utilize industry-standard visualisation tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, Plotly) to build interactive dashboards and reports. Data Quality: Assist in reviewing and validating datasets to ensure accuracy and relevance for visualisation purposes. Stakeholder Communication: Present visualisations and findings to internal teams and stakeholders, ensuring clarity and actionable insights for both technical and non-technical audiences. Collaborative Innovation: Work closely with data scientists, engineers, and product managers to refine visualisation requirements and enhance the overall user experience. Documentation: Maintain documentation of visualisation methodologies, data sources, and design choices for transparency and future reference. Learning Outcomes: Hands-on Experience: Gain practical experience with real-world crypto datasets and advanced visualisation tools in a fintech environment. Skill Development: Learn best practices in data storytelling, dashboard design, and user interface principles. Mentorship: Receive guidance from experienced data visualisation specialists and blockchain professionals. Qualifications Core Requirements: Analytical Mindset: Strong interest in data analysis and the ability to interpret complex datasets. Technical Skills: Familiarity with data visualisation tools (Tableau, Power BI, or Python libraries) and basic data manipulation techniques (Excel, SQL). Design Sensibility: Eye for design, including layout, color theory, and accessibility in visual communication. Communication: Excellent written and verbal skills to present findings clearly and collaborate with cross-functional teams. Remote Work Ethic: Self-motivated, organized, and able to work independently in a distributed team. Academic Background: Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Graphic Design, or a related field. Preferred Assets: Portfolio: Showcase of past visualisation projects (GitHub, Tableau Public, or academic work). Blockchain/Crypto Interest: Curiosity about cryptocurrency markets or blockchain technology. UI/UX Basics: Understanding of user experience principles for dashboard usability. Why Join CryptoChakra? Impactful Contribution: Help shape how crypto data is understood and acted upon by users worldwide. Professional Growth: Develop expertise in data visualisation, analytics, and fintech innovation. Flexible Environment: Enjoy remote work, mentorship, and opportunities to contribute to exciting projects.

Python Full Stack Developer Intern (Onsite Gachibowli, Hyderabad) Location: Onsite Vasavi Skycity, Gachibowli, Hyderabad Timings: US Shift (Night Shift) Stipend: 10,000 to 15,000 per month Cab Facility: Not Provided Internship Type: Full-time, Onsite Only Eligibility: Passed out in 2024 or before (2025 pass-outs will not be considered) Duration : 6 Months About the Role: We are looking for a highly skilled and self-driven Python Full Stack Developer Intern with strong hands-on coding abilities and in-depth technical understanding. This is not a training role we need contributors who can work independently on real-time development projects. Must-Have Requirements: Graduation Year: 2024 or before only Must have developed and deployed at least one complete dynamic web application or website independently (not an academic project) Deep technical knowledge in both frontend and backend development Excellent coding and debugging skills must be comfortable writing production-grade code Must be able to work independently without constant guidance Willingness to work onsite and during US hours Technical Skills Required: Backend: Python (Django / Flask / FastAPI) Frontend: HTML, CSS, JavaScript, React or Angular Database: PostgreSQL / MySQL / MongoDB Version Control: Git & GitHub Understanding of RESTful APIs , Authentication , and Security Practices Experience with deployment (Heroku, AWS, etc.) is a plus Nice-to-Have Skills: Knowledge of Docker, CI/CD pipelines Familiarity with cloud services (AWS/GCP) Exposure to Agile/Scrum methodology What You’ll Do: Work on real-time development projects from scratch Write clean, maintainable, and scalable code Collaborate with remote teams during US timings Independently handle assigned modules/features Continuously learn and adapt to new technologies Note: Academic/college projects will NOT be considered. Candidates must be able to show at least one independently built dynamic web app or website (with codebase and/or live demo).

About the AI Pod: Join our innovative AI Pod focused on revolutionizing performance marketing creatives. Our mission is to build cutting-edge internal tools powered by Artificial Intelligence to automate the creation of high-impact marketing videos. By cutting production time, enabling creatives at scale, and boosting ROI, this pod will directly empower our marketing teams to launch faster, test more rigorously, and drive significant performance improvements across platforms like Meta and Google. Role Summary: We are looking for two skilled and passionate AI Engineers to be foundational members of our AI Pod. You will be responsible for designing, developing, and implementing the core AI and Machine Learning models and systems that power our automated video creation platform. You will work closely with other engineers and a marketing stakeholder to translate creative requirements into intelligent, scalable solutions that deliver against our ambitious goals. Key Responsibilities: Develop and implement AI/ML models and algorithms for various stages of the automated video creation pipeline, including (but not limited to) text-to-video generation, voiceover synthesis, animation sequencing, and content summarization/copy generation. Integrate with and leverage external generative AI APIs and platforms (e.g., Text-to-Video tools like Runway, Pika Labs, Kaiber; Voice Generation tools like ElevenLabs, Play.ht; Language Models like OpenAI, Claude). Design and build data pipelines to process input assets (images, text, product info) and prepare them for AI model consumption. Contribute to the development of the "Smart Creative Engine" (Phase 2), focusing on generating creative variations based on audience, placement, and messaging through intelligent automation. Optimize models and pipelines for performance, scalability, and efficiency to ensure rapid video turnaround times. Collaborate with the fullstack engineer to build robust APIs and backend services that expose AI functionalities to the frontend and potential ad platform integrations. Work closely with the Marketing Stakeholder to understand creative needs, gather feedback, and iterate on AI-generated outputs. Stay up-to-date with the latest advancements in generative AI, computer vision, natural language processing, and automated content creation. Implement best practices for model training, evaluation, deployment, and monitoring. Contribute to code reviews and maintain high code quality standards. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience. Proven experience developing and deploying AI/ML models in a production environment. Strong programming skills in Python. Proficiency with major AI/ML frameworks such as TensorFlow and/or PyTorch. Experience with libraries like Scikit-Learn, Keras, Matplotlib, SciPy, and potentially OpenCV or Tesseract. Familiarity with generative AI concepts and models (e.g., GANs, Transformers, Diffusion Models). Experience working with and integrating external APIs, particularly those related to AI/ML or content generation. Understanding of data processing, feature engineering, and model evaluation techniques. Ability to work effectively in an Agile, cross-functional team environment. Strong problem-solving skills and a creative approach to technical challenges. Bonus Points (Nice to Have): Experience with Text-to-Video generation techniques or platforms. Experience with Voice Generation (TTS) technologies or platforms. Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling. Experience with containerization (Docker) and orchestration (Kubernetes). Prior experience in the AdTech or Marketing Technology domain. Experience with workflow automation tools like Zapier or Make. Understanding of video processing techniques. What We Offer: The opportunity to be part of a foundational AI Pod with a clear mission and direct impact on business growth. Work on exciting, cutting-edge applications of generative AI in a real-world marketing context. A fast-paced, collaborative, and innovative work environment. The chance to significantly influence the technical direction and success of the AI Pod.

SynapseIndia is one of the top I.T. outsourcing companies based out of Noida with clients across the globe. We are 23+ years old organization and with expertise of more than two decades, we have worked with both large brands as well as startups. Why work with us? We are Microsoft Gold partner, Google partner, Shopify partner company with certified professionals. SynapseIndia is an MNC having clients and employees all over the world. SynapseIndia has 500 IT professionals and has plan to hire more than 500 more developers in the next 5 months. We have structured environment with industry leading CMMI level-5 compliant processes. Several IT professionals joined as developers/programmers and now they are leading a team . Salaries are always paid on time , from the time company started till date, there has never been a delay. Developers get an exposure to interact with international clients (Majorly USA clients) at a very early stage in career. Despite market conditions, we have not laid off people. We never work on holidays . This way, you can maintain your personal as well as professional life balance. Office timings are from 9:30 AM to 6:30 PM. 2nd and last Saturday of every month is off for everyone. Annual salary review – based on company and individual performance. This is permanent work from office job opportunity. Who are we looking for? Designation - Sr. Python Developer (AI ML) Experience Range - 5+ years What skills and experience are we looking for? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What is the work? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure.

About the Role: We are seeking a passionate Data Scientist II to join our team. You’ll work on data gathering, exploratory data analysis (EDA), feature engineering, and developing machine learning models. The role involves writing production-level code, designing and deploying algorithms, and maintaining models in live environments. You’ll also manage multiple problems, mentor junior team members, and contribute to patent or publication writing. This is the job you are searching for if you love: ● Data gathering, EDA, feature engineering, and building models ● Writing idiomatic, production-level code and deploying it in live systems ● Designing algorithms using feature engineering, statistical modeling, and ML techniques ● Maintaining and optimizing models in production ● Working on multiple problem statements simultaneously ● Managing stakeholders—both internal and external ● Writing technical documents for patents and publications ● Mentoring junior data scientists You could be the next game changer if you: ● Can define problems based on product or client requirements ● Have strong coding skills—Python preferred ● Are highly proficient in libraries like pandas, numpy, matplotlib, sklearn, seaborn, nltk, scipy, etc. ● Can process data at scale and understand distributed systems ● Have 3–6 years of experience in analytics or data science roles ● Possess strong critical and creative thinking skills ● Have hands-on experience with PyTorch, Keras, and/or TensorFlow ● Bonus: Published patents or papers in national/international peer-reviewed journals or conferences ● Bonus: Experience with Apache Spark, Hadoop, or related tools ● Bonus: Background in consumer app or product domains

Job Type: Full Time Experience: 0 Month to 2 Years Type: Virtual Hiring Last Date: 25-June-2025 Posted on: 26-May-2025 Education: BE/B.Tech,BSc Job Id: Aeries/092/25-26 Designation: Trainee - Data Science Location : Hyderabad Experience Range : 0 - 2 Years Qualification: Graduate in Data Science, Computer Science, Statistics, or related fields Shifts (if any): 11 am onwards (Candidate should be flexible to work as per business requirement) Role & Responsibilities Assist in collecting, cleaning, and analyzing large data sets Support the development and testing of ML models and data-driven algorithms Generate insights through data visualization and basic statistical analysis Write clean, maintainable Python code for data-related tasks Collaborate with cross-functional teams to understand requirements and deliver results Document findings, code, and processes clearly for internal use Key Skills & Tools Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.) Understanding of basic statistical concepts and machine learning algorithms Familiarity with SQL and data manipulation Exposure to BI tools (like Power BI or Tableau) is a plus Good problem-solving ability and eagerness to learn Strong communication and collaboration skills Good To Have Certification or coursework in data science and machine learning Previous project work or internship experience in data science (preferred but not mandatory) Apply Now

About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview Axis My India is seeking a skilled Data Analyst & Data Visualizer with at least 2 years of experience to join our team supporting the Axis My India “a” APP and custom projects. In this role, you will be responsible for analyzing, and interpreting data as well as designing impactful visualizations and dashboards. Your work will help drive data-driven decision-making, enhance user engagement, and support the company’s mission to connect and resolve problems for 250 million Indian households through innovative digital solutions. Key Responsibilities Collect, clean, and process data from multiple sources including databases, APIs, and third-party platforms to ensure data accuracy and reliability for the APP data and similarly for other custom projects. Analyze data to identify trends, patterns, and actionable insights that inform product development, market research, and social impact initiatives. Design and develop interactive dashboards and visualizations using tools such as Power BI or similar platforms to communicate findings clearly. Present complex data insights using fusion charts, concise reports and visual formats to technical and non-technical stakeholders. Collaborate closely with cross-functional teams including product, Technology, Operations and research to define analytics and visualization requirements. Monitor and report on key performance indicators (KPIs) relevant to the app’s usage, impact, and outreach. Ensure data integrity and governance throughout the data lifecycle. Stay updated on the latest analytics and visualization tools, techniques, and best practices to continuously improve the data experience for Axis My India projects and APP users. Creating the presentations, documents, reports based on requirement Required Skills & Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Design, or a related field. Minimum 2 years of professional experience in data analysis and data visualization roles. Proficiency in Python and Power BI. Proficient with basic statistics. Experience with data visualization tools like Power BI, PowerPoint and excel. Strong analytical, problem-solving, and data storytelling skills. Knowledge of data blending, dashboard optimization, and UI/UX principles. Excellent communication and collaboration skills, with the ability to translate complex data into actionable insights. Ability to manage multiple projects and deliver results in a fast-paced environment. Preferred Experience Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing and visualizing multiple survey data. Worked on basic statistics for data analysis Requirements Technical Skills Python: Data manipulation, analysis, and visualization with libraries like Pandas, NumPy, Matplotlib, and Seaborn. Power BI: Industry-standard tools for creating interactive dashboards and visual reports, enabling clear communication of insights to stakeholders. Matplotlib/Seaborn: Python libraries for custom visualizations and advanced charting. Excel: Useful for basic data analysis, quick visualizations, and reporting Proficiency in cleaning, preprocessing, and transforming raw data-handling missing values, outliers, duplicates, and standardizing formats to ensure data accuracy and reliability. Must be strong in using Statistical concepts for analysis and Visual design principles Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Data Transformation: Ability to transform complex data into compelling narratives that highlight key findings and support data-driven decision-making. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal teams, stakeholders, including senior executives, through reports, dashboards and presentations. Working with Cross-functional teams: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply.

We are looking for a Business Intelligence Analyst who can organize and analyze data from various sources and create reports and metrics. He should be able to both deeply analyze data and succinctly explain metrics and insights from it to different stakeholders. Responsibilities As a BI Analyst, you will be responsible for managing various data and metrics crucial to our business operations, including company sales and revenues, customer-level metrics, and product usage metrics. Additionally, you will collaborate with finance teams, assisting in tasks such as invoicing and cash flow management. This role also involves close collaboration with product and operations teams to analyze product metrics and enhance overall product : Manage and analyze company sales, revenues, profits, and other KPIs. Analyse photographer-level metrics, e. g. sales, average basket, conversion rate, and growth. Analyse product usage data and collaborate with the product team to improve product adoption and performance. Perform ad-hoc analysis to support various business initiatives. Assist the finance team in invoicing, cash flow management, and revenue forecasting. Requirements Expert-level proficiency in Excel. Familiarity with one or more data visualization and exploration tools, e. g. Tableau, Kibana, Grafana, etc. Strong analytical and problem-solving skills. Comfortable with analyzing large amounts of data and finding patterns and anomalies. Excellent communication and collaboration abilities. Experience in SQL for data querying and manipulation. Experience in Python for data analysis, e. g. pandas, numpy, scipy, matplotlib, etc. Familiarity with statistical analysis techniques. Experience with basic accounting, e. g. balance sheet, P, and L statements, double-entry accounting, etc. Experience Required : 3- 6 years. (ref:hirist.tech)

What You'll Do SQL Development & Optimization : Write complex and optimized SQL queries, including advanced joins, subqueries, analytical functions, and stored procedures, to extract, manipulate, and analyze large datasets. Data Pipeline Management : Design, build, and support robust data pipelines to ensure timely and accurate data flow from various sources into our analytical platforms. Statistical Data Analysis : Apply a strong foundation in statistical data analysis to uncover trends, patterns, and insights from data, contributing to data-driven decision-making. Data Visualization : Work with various visualization tools (e.g., Google PLX, Tableau, Data Studio, Qlik Sense, Grafana, Splunk) to create compelling dashboards and reports that clearly communicate insights. Web Development Contribution : Leverage your experience in web development (HTML, CSS, jQuery, Bootstrap) to support data presentation layers or internal tools. Machine Learning Collaboration : Utilize your familiarity with ML tools and libraries (Scikit-learn, Pandas, NumPy, Matplotlib, NLTK) to assist in data preparation and validation for machine learning initiatives. Agile Collaboration : Work effectively within an Agile development environment, contributing to sprints and adapting to evolving requirements. Troubleshooting & Problem-Solving : Apply strong analytical and troubleshooting skills to identify and resolve data-related issues Skills Required : Expert in SQL (joins, subqueries, analytics functions, stored procedures) Experience building & supporting data pipelines Strong foundation in statistical data analysis Knowledge of visualization tools : Google PLX, Tableau, Data Studio, Qlik Sense, Grafana, Splunk, etc. Experience in web dev : HTML, CSS, jQuery, Bootstrap Familiarity with ML tools : Scikit-learn, Pandas, NumPy, Matplotlib, NLTK, and more Hands-on with Agile environments Strong analytical & troubleshooting skills Bachelor's in CS, Math, Stats, or equivalent (ref:hirist.tech)

Job Title: Python Developer Experience: 1 – 3 Years Location: , Mumbai, Maharashtra (Work From Office) Shift Timings: Regular Shift: 10:00 AM – 6:00 PM We are hiring a Python Developer who involves developing and maintaining risk analytics tools and automating reporting processes to support commodity risk management. Key Responsibilities: Develop, test, and maintain Python scripts for data analysis and reporting Write scalable, clean code using Pandas, NumPy, Matplotlib, and OOPS principles Collaborate with risk analysts to implement process improvements Document workflows and maintain SOPs in Confluence Optimize code performance and adapt to evolving business needs Requirements: Strong hands-on experience with Python, Pandas, NumPy, Matplotlib, and OOPS Good understanding of data structures and algorithms Experience with Excel and VBA is an added advantage Exposure to financial/market risk environments is preferred Excellent problem-solving, communication, and documentation skills

Data Scientist Experience: 1-7 years Location: Pune (Work From Office) Job Description: Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) Excellent verbal and written communication skills, Excellent analytical and problem-solving skills Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist Good To Have: Familiarity with Hive, Pig and Scala. Experience in embeddings, Retrieval Augmented Generation (RAG), Gen AI Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Job Type: Full-time Benefits: Provident Fund Work Location: In person

Job Title : Data Scientist Location : [Nagercoil] Job Type : Full-time Experience : 1-3 years (Freshers with good academic background can also apply) Salary : [1.5 - 2.5] LPA About the Role We are seeking a talented and analytical Data Scientist to join our team. You will be responsible for turning raw data into actionable insights that guide strategic decisions and product improvements. Ideal candidates should have strong problem-solving skills, proficiency in data science tools, and a passion for working with data. Key Responsibilities : Analyze large volumes of structured and unstructured data to find patterns and trends Build predictive models and machine learning algorithms Work closely with business teams to identify opportunities for leveraging data Communicate findings effectively through reports, dashboards, and visualizations Perform data cleaning, validation, and preprocessing Develop A/B testing frameworks and analyze test results Collaborate with software engineers and analysts to implement data-driven solutions Required Skills : Strong knowledge of Python or R for data analysis and machine learning Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch Proficiency in SQL for data querying Hands-on experience with data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn Understanding of statistics, probability, and algorithms Excellent analytical and problem-solving skills Preferred Qualifications : Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field Experience with big data tools like Hadoop or Spark is a plus Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Job Types: Full-time, Permanent Pay: Up to ₹25,000.00 per month Schedule: Day shift Work Location: In person

Job Title: Data Analyst Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a motivated and analytical Data Analyst Trainee to join our remote analytics team. This internship is perfect for individuals eager to apply their data skills in real-world projects, generate insights, and support business decision-making through analysis, reporting, and visualization. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Perform exploratory data analysis (EDA) and generate actionable insights Build interactive dashboards and reports using Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and manipulation Collaborate with cross-functional teams to understand data needs Document analytical methodologies, insights, and recommendations Qualifications: Bachelor’s degree (or final-year student) in Data Science, Statistics, Computer Science, Mathematics, or a related field Proficiency in Excel and SQL Working knowledge of Python (Pandas, NumPy, Matplotlib) or R Understanding of basic statistics and analytical methods Strong attention to detail and problem-solving ability Ability to work independently and communicate effectively in a remote setting Preferred Skills (Nice to Have): Experience with BI tools like Power BI, Tableau, or Google Data Studio Familiarity with cloud data platforms (e.g., BigQuery, AWS Redshift) Knowledge of data storytelling and KPI measurement Previous academic or personal projects in analytics What We Offer: Monthly stipend of ₹25,000 Fully remote internship Mentorship from experienced data analysts and domain experts Hands-on experience with real business data and live projects Certificate of Completion Opportunity for a full-time role based on performance

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance

Job Title: Data Science Trainer Location: B-11, SECTOR 2 NOIDA – Work from Office Only Job Type: Full-Time Experience: 0–2 Years Salary: 20k -30k Immediate Joiners Preferred Job Summary: We are looking for a passionate and knowledgeable Data Science Trainer to join our team. This is an in-office role, ideal for individuals who have strong foundational knowledge in data analytics and data science and are eager to train and mentor aspiring professionals. Freshers with solid subject knowledge and a passion for teaching are welcome to apply. ❗ Note: This is a 100% on-site position. Remote work is not available. If you are only looking for remote opportunities, please do not apply. Key Responsibilities: Deliver classroom training sessions on Data Science, Data Analytics, and related tools and technologies. Develop and update training materials, assignments, and projects. Provide hands-on demonstrations and practical exposure using real-time datasets. Clarify students’ doubts, conduct assessments, and provide constructive feedback. Stay updated with the latest trends in data science and analytics. Monitor learner progress and suggest improvements. Required Skills: Strong knowledge in Python , Data Analysis , Statistics , Machine Learning , Pandas , NumPy , and Matplotlib/Seaborn . Understanding of tools such as Jupyter Notebook , Excel , and SQL is a plus. Good communication and presentation skills. Passion for teaching and mentoring students. Eligibility: Graduates in Computer Science, Statistics, Mathematics, or related fields. Freshers with excellent knowledge in Data Science are encouraged to apply. Candidates must be willing to work on-site at our office location. How to Apply: Interested candidates should apply immediately with their updated resume. Shortlisted candidates will be contacted for a personal interview.

Job Title: Data Scientist – OpenCV. Experience: 2–3 Years. Location: Bangalore. Notice Period: Immediate Joiners Only. Job Overview. We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment.. Key Responsibilities. Develop and implement computer vision solutions using OpenCV and Python.. Work on tasks including object detection, recognition, tracking, and image/video enhancement.. Clean, preprocess, and analyze large image and video datasets to extract actionable insights.. Collaborate with senior data scientists and engineers to deploy models into production pipelines.. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning.. Prepare clear documentation for models, experiments, and technical processes.. Required Skills. Proficient in OpenCV and image/video processing techniques.. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib.. Solid understanding of basic machine learning and deep learning concepts.. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus.. Excellent analytical, problem-solving, and debugging skills.. Effective communication and collaboration abilities.. Preferred Qualifications. Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field.. Practical exposure through internships or academic projects in computer vision or image analysis.. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage.. What We Offer. A dynamic and innovation-driven work culture.. Guidance and mentorship from experienced data science professionals.. The chance to work on impactful, cutting-edge projects in computer vision.. Competitive compensation and employee benefits.. Show more Show less

Job Summary. ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure. by integrating digitization and technology throughout the lifecycle of infrastructure projects.. About The Role. As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your. responsibilities will include designing and implementing advanced machine learning models, analyzing. complex datasets, and delivering actionable insights to various stakeholders. You will work closely with. cross-functional teams to tackle challenging business problems and drive innovation using advanced. analytics techniques.. Responsibilities. Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.. Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.. Design and implement algorithms for predictive and causal modeling.. Evaluate and fine-tune model performance.. Communicate recommendations based on insights to both technical and non-technical stakeholders.. Requirements. A Ph.D. in computer science, statistics, or a related field. 5+ years of experience in data science. Experience in geospatial data science is an added advantage. Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, and Seaborn); experience with GeoPandas and Shapely is an added advantage. Strong communication and presentation skills. Show more Show less

About the Company: Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization. About the Role: We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business. Responsibilities: The Senior Data Scientist will Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. Work closely with stakeholders to define project goals and deliver actionable insights. Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. Present findings and recommendations to both technical and non-technical audiences. Prepare clear documentation for methodologies and results. Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. Mentor data scientists and support in organizational skilling in AI. Qualifications: Master’s or bachelor’s degree in computer science, Data Science, Statistics, or a related field. Required Skills: 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, SQL Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). Experience with deep learning frameworks and natural language processing (NLP). Understanding of business process and ability to translate business needs into technical requirements. Experience in AI/ML deployment Manufacturing industry is highly desired. Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills. Experience in setting up CoEs or analytics practices is a plus. Why Join Us? Opportunity to be part of an Advanced Analytics CoE setup. Work on cutting-edge AI & ML projects in manufacturing. Direct impact on business-critical decisions and process optimization. Collaborative work culture with a focus on innovation and growth.