1565 Pandas Jobs - Page 15

We are looking for a Senior Python Software Engineer with at least 5 years of hands-on experience in developing and maintaining Python-based applications. The ideal candidate is a problem solver who thrives in a fast-paced environment and is passionate about building scalable, high-performance, and secure software solutions. In this role, you will work closely with cross-functional teams, contributing to the design, development, and optimization of our internal systems. Your expertise will help shape our technical landscape while ensuring best practices in code quality, testing, and maintainability . Key Responsibilities: Develop and maintain a variety of internal software applications using Python and related technologies. Collaborate with cross-functional teams to design, develop, and implement new features and enhancements. Ensure software solutions meet standards for scalability, performance, and security. Write clean, efficient, and well-documented code that satisfies project requirements. Participate in code reviews, providing and receiving feedback to improve overall code quality. Debug, troubleshoot, and resolve software defects and technical issues in a timely manner. Follow agile development methodologies, participating in sprint planning, daily stand-ups, and retrospectives. Continuously improve technical skills and stay current with industry best practices and emerging technologies. Conduct comprehensive unit and integration testing to ensure code quality and reliability. Assist in the deployment of applications and provide ongoing maintenance of production environments to ensure smooth operations. Required Skills & Experience : At least 5 years of continuous, professional experience as a Python3 Software Engineer, developing, deploying, and maintaining production-grade applications. Minimum 3 years of hands-on experience with at least 4 of the following Python frameworks, libraries, and tools: FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues (e.g., Celery, Kafka, RabbitMQ). Minimum 3 years of experience working in a Linux/Unix environment with expertise in system navigation, scripting, and troubleshooting. Deep understanding of best practices for building scalable, high-performance, and secure software solutions. Strong analytical, problem-solving, and debugging skills with a proven ability to diagnose and resolve complex issues efficiently. Demonstrated commitment to continuous learning, innovation, and enhancing both individual and team performance Extensive experience with unit and integration testing. Proven expertise in designing, implementing, and maintaining robust unit and integration tests to ensure software reliability and quality. Ability to troubleshoot and resolve dependency conflicts, versioning issues, and environment inconsistencies. Self-starter with the ability to independently set up a complete Python development environment from scratch. Proven ability to collaborate effectively with cross-functional teams to drive projects forward and deliver high-quality solutions. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications: 1+ years of experience with Python packaging using setuptools, Poetry, or related tools. Familiarity with publishing Python packages to PyPI or private repositories. Experience automating package builds and releases (e.g., GitHub Actions, Bitbucket Pipelines, CI/CD). Strong ability to diagnose and resolve dependency conflicts, versioning issues, and environment inconsistencies to ensure seamless development and deployment workflows Experience designing and configuring Python-based stacks, including FastAPI , Pydantic, SQLAlchemy, Pandas, Celery and other relevant libraries. Comfortable compiling and installing Python from source when necessary. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience Commitment to Continuous Learning: Proven commitment to continuous learning, staying ahead of industry trends, and driving innovation by adopting emerging technologies, optimizing best practices, and applying creative problem-solving to real-world challenges. This includes actively exploring advancements in software development, contributing to open-source projects, obtaining relevant certifications, or implementing innovative solutions to improve efficiency and scalability." Examples: Staying current with Python ecosystem updates (e.g., migrating to FastAPI for better performance and async capabilities). Contributing to open-source projects or engaging with developer communities. Earning industry certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Developer). Implementing automation to streamline CI/CD pipelines and enhance deployment efficiency. Researching and adopting best practices for security and performance optimizations in production environments.

Snowflake Developer 5+ years Bangalore/Hyderabad (Hybrid) 1 year Contractual (Extendable) Required Candidate profile Aws Data Services e.g., S3 ,Glue , lambda ( Aws Glue is must ) snowpipe aleast 2-3 core projects in Snowflake Development (SQL Coding has to be strong) NumPy or Pandas

Looking for Immediate joiners only!! Pune, Mumbai, Delhi, Noida and Bangalore based candidates only... Role & responsibilities Design, develop, and execute test cases to validate data ingestion from source systems (SQL, APIs) to Databricks UAP platform. Perform schema validation, data completeness, transformation, and row-level data checks between source and target. Utilize SQL extensively for data profiling and validation. Leverage PySpark and Pandas for large-scale data comparison and automation. Maintain and enhance the Data Test Automation Framework using Python/PySpark for efficient and scalable data testing. Participate in daily stand-ups, sprint planning, and retrospectives following Agile practices. Manage and track test progress, issues, and risks in JIRA. Ensure adherence to QA documentation practices: Test Plan Test Scenarios & Test Cases Test Summary Reports Defect Reports Own and drive the Defect Life Cycle, working closely with developers and product teams to ensure timely resolution. Collaborate with business analysts and developers to understand data requirements and ensure high test coverage Required Skills: 4+ years of experience in QA/testing with a strong focus on data validation. Strong proficiency in SQL (Joins, Subqueries, Aggregations, Data Profiling) Experience in testing data pipelines ingesting from SQL and APIs to Databricks. Hands-on with Python and Pandas for data manipulation. Working knowledge of PySpark and familiarity with Spark DataFrames, transformations, and data handling. Knowledge of Agile testing processes and QA best practices. Familiar with QA documentation and reporting standards. Experience with JIRA for test and defect management. Good understanding of Defect Life Cycle and its role in maintaining software quality.

Mandatory Skill : Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred Skill: AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

About the Opportunity Job TypeApplication 31 July 2025 Title Technical Specialist Department Technology - Corporate Enablers (CFO Technology) Location Gurgaon / Bengaluru (Bangalore) India Reports To Senior Manager Level 4 About your team The Corporate Enablers technology function provides IT services to multiple business functions like Finance, HR and General Counsel, globally. CFO Technology collaborates with Finance and Procurement stakeholders globally to develop and support business applications that underpin all core finance processes across FIL. This includes on-premises and SaaS solutions, both in-house built and vendor provided. There is a strong focus on data analytics, workflow and automation tools to bring greater efficiency to these functions. Together with this there is continued move towards greater use of Agile and DevOps practices. CFO Technology team is a global team with people based in the UK, China, and India. About your role Join our team of enthusiastic technologists as we build the future of cloud-based Integration platform We are seeking a skilled and experienced Full stack Developer to join our team. The ideal candidate will have a strong background in API development and PLSQL Store procedures along with good understanding of Kubernetes,AWS,SnapLogic cloud-native technologies. This role requires deep technical expertise and the ability to work in a dynamic and fast-paced environment. About you Essential Skills Minimum 7 years of overall full stack (Python, Oracle/PLSQL) hands on experience of system software development, testing and maintenance Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy) Strong experience in designing, developing, and maintaining RESTful APIs. Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors) Experience in development & low-level design of Warehouse solutions Familiarity with Data Warehouse, Datamart and ODS concepts Knowledge of data normalisation and Oracle performance optimisation techniques Hands on development experience of AWS (S3, lambda, api gateway, EC2, CloudFront, Route53, Dynamo DB, vpc, subnets) Hands-on experience with Kubernetes for container orchestration Knowledge of deploying, managing, and scaling applications on Kubernetes clusters Should be able to provide technical design and architecture independently for business solutions Experience with cloud architecture and design principles, micro-services Good understanding of infra-aspects of technical solutions like storage, platform, middleware Should have clear understating on continuous integration, build, release, code quality Good understating of load balancing, disaster recovery aspects of solutions Good knowledge on security aspects like authentication, authorization by using open standards like oAuth Hands on with coding and debugging. Should be able to write high quality code optimized for performance and scale Good analytical- problem solving skills and should be good with algorithms Skills nice to have Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using SnapLogic. Experience in AI prompt engineering, Gen AI, LLM models , Agents Experience in CI/CD, TDD, DevOps, CI/CD tools - Jenkins/UrbanCode/SonarQube/ Bamboo Key Responsibilities Lead and guide a team of developers/senior developers Architect technical design of the application, document and present it to senior stakeholders Interact with senior architects and other consultants to understand and review the technical solution and direction Communicate with business analysts to discuss various business requirements Proactively refactor code/solution, be aggressive about tech debt identification and reduction Develop, maintain and troubleshoot issues; and take a leading role in the ongoing support and enhancements of the applications Help in maintaining the standards, procedures and best practices in the team. Also help his team to follow these standards. Prioritisation of requirements in pipeline with stakeholders Experience and Qualification: B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University Total 8-10 years of experience with application development on Python language, API development along with Oracle RDBMS, SQL, PL/SQL Must have led a team of developers Feel rewarded For starters, we will offer you a comprehensive benefits package. We will value your wellbeing and support your development. And we will be as flexible as we can about where and when you work finding a balance that works for all of us. It is all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. Our Values Integrity Doing the right thing, every time and putting the client first. Trust Empowering each other to take the initiative and make good decisions. Our Behaviours Brave - Challenging the status quo, being accountable and speaking up. Bold - Acting with conviction, encouraging diverse thinking, and keeping things simple. Curious - Learning to do new things in better ways and encouraging fresh thinking. Compassionate - Having empathy, caring for colleagues, clients

Naresh IT KPHB & Ameerpet branches are hiring for experienced FS Python trainer. Candidate should be strong in Core & Advanced Python along with DJango and should have rich experience in giving classroom training.Mandatory to have training experience

About the Role: Grade Level (for internal use): 08 S&P Global Mobility The Role: Data Engineer The Team We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact We areseekinga motivated and talented Data Engineer to be a key player in building a robust data infrastructure and flows that supports our advanced forecasting models. Your initial focus will be to create a robust data factory to ensure smooth collection and refresh of actual data, a critical component that feeds our forecast. Additionally, you will be assisting in developing mathematical models and supporting the work of ML engineers and data scientists. Your work will significantly impact our ability to deliver timely and insightful forecasts to our clients. Whats in it for you: Opportunity to build foundational data infrastructure that directly impacts advanced forecasting models and client delivery. Gain exposure to and support the development of sophisticated mathematical models, Machine Learning, and Data Science applications. Contribute significantly to delivering timely and insightful forecasts, influencing client decisions in the automotive sector. Work in a collaborative environment that fosters continuous learning, mentorship, and professional growth in data engineering and related analytical fields. Responsibilities Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines for efficient data ingestion, processing, and storage, primarily focusing on creating a data factory for our core forecasting data. Data Quality and Integrity: Implement robust data quality checks and validation processes to ensure the accuracy and consistency of data used in our forecasting models. Mathematical Model Support: Collaborate with other data engineers to develop and refine mathematical logics and models that underpin our forecasting methodologies. ML and Data Science Support Provide data support to our Machine Learning Engineers and Data Scientists. Collaboration and Communication: Work closely with analysts, developers, and other stakeholders to understand data requirements and deliver effective solutions. Innovation and Improvement: Continuously explore and evaluate new technologies and methodologies to enhance our data infrastructure and forecasting capabilities. What Were Looking For: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Minimum of 1 - 2 years of experience in data engineering, with a proven track record of building and maintaining data pipelines. Strong proficiency in SQL and experience with relational and non-relational databases. Strong Python programming skills, with experience in data manipulation and processing libraries (e.g., Pandas, NumPy). Experience with mathematical modelling and supporting ML and data science teams. Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience in the automotive sector is a plus. Statement: S&P Global delivers essential intelligence that powers decision making. We provide the worlds leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, youll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand todays market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group)

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Senior Data Specialist Qualification : Any Graduate or Above Relevant Experience : 5 to 7yrs Required technical skill: 5+ years of hands-on experience in data science, analytics, or machine learning. Expert proficiency in Python , including libraries like pandas, scikit-learn, NumPy, etc. Strong experience in SQL for data extraction and transformation. Location : Bangalore CTC Range : 15 to 19yrs Notice period : Immediate Mode of Interview : Virtual Mode of Work : Hybrid Quiline Roopa M Staffing analyst - IT recruiter Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA roopa@blackwhite.in I www.blackwhite.in +91 9739199898

Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases:SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Department: Founders Office Location: Gurgaon (Work from Office) Internship Duration: 2 Months About the Role: As an AI Intern, you will work closely with the core team to solve business problems using data-driven and algorithmic approaches. You'll contribute to high-impact projects across product development, consumer analytics, automation, and internal process optimization. Key Responsibilities: Assist in identifying and solving real-world problems using AI/ML tools and techniques Analyse data to generate actionable business insights Support development of internal dashboards, models, or automation tools Collaborate with cross-functional teams (product, marketing, operations) Present findings in a clear and structured manner Requirements: Strong interest or basic academic background in Artificial Intelligence, Machine Learning, or Data Science Familiarity with Python, data handling libraries (Pandas, NumPy), and visualization tools (e.g., Power BI, Tableau, Matplotlib) Ability to think analytically and approach problems creatively Self-starter with strong communication and collaboration skills Currently pursuing or recently completed a degree in Engineering, Statistics, Data Science, Computer Science, or related fields What Youll Gain: Exposure to real business problems and AI applications in the personal care industry Mentorship from experienced professionals in a high-growth environment Opportunity to work closely with the leadership and Founders Office

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client"s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Description: Degree and Qualification: BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field. Masters degree in data science, AI, or a related field is preferred. Number of Years of Experience as a Data Analyst / Scientist3-8 years Language Skills: Good communication skills in English, proficiency in German is an added advantage. Domain Knowledge: Strong understanding of supply chain and supplier performance evaluation processes. Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers. Basic knowledge of plant logistics and operational efficiency. Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production. Digital Expertise: 1. Power BI Desktop (advanced): o Advanced knowledge of building dashboards, creating data models, and writing DAX expressions, o Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI o Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios. o Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story. o Power BI Service (advanced):Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways. 2. Machine Learning & AI: o Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection. o Familiarity with AI concepts like neural networks, NLP, or reinforcement learning. 3. Data Wrangling & Analysis: o Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn. o Experience in PySpark for distributed data processing and large-scale data transformation. o Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets. 4. Communication & Stakeholder Management: o Ability to effectively communicate technical insights to non-technical stakeholders. o Strong customer-facing communication skills and experience collaborating with cross-functional teams. Behavioral / Personal Skills: Willingness to learn and apply new skills. High adaptability and readiness to handle unstructured tasks. Strong analytical mindset, with a focus on problem-solving and result-oriented thinking. Team player with excellent communication and interpersonal skills. Job LocationBengaluru Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Junior Data Scientist Job Description As a Junior Data Scientist working at TTEC Digital, you will work on a team with diverse clients and industries to create data-driven solutions, develop cutting edge algorithms and provide expert insights to increase our understanding of customer behavior and needs. We are looking for someone with a strong foundation in data science, excellent analytical skills, and a passion for solving complex problems. Key Responsibilities: Assist in collecting, cleaning, and preprocessing data from various sources. Perform exploratory data analysis to uncover trends, patterns, and anomalies. Develop and implement statistical models and machine learning algorithms to address business challenges. ¢ ¢ ¢ Generate and interpret reports, visualizations, and dashboards to communicate findings to stakeholders. Collaborate with cross-functional teams to understand business requirements and deliver data- driven solutions. Stay updated with the latest developments in data science and machine learning technologies. Qualifications: ¢ ¢ Graduated in Engineering or related field in the last 2 years Prior professional work experience (maximum of 2 years) is preferred. Extra preference if the experience is in Data Science domain ¢ If the candidate does not possess relevant work experience, they should have completed online/offline Data Science programs with at least 6 months duration Proficiency in programming languages such as Python, SQL, Pandas, PySpark. Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Tableau, Power BI). ¢ ¢ ¢ ¢ ¢ ¢ Basic understanding of statistical methods and machine learning algorithms. Strong analytical and problem-solving skills with attention to detail. Ability to work independently and collaboratively in a team environment. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. TTEC Digital Analytics India SALARPURIA SATTVA KNOWLEDGE CITY, HITEC City, Hyderabad, Telangana 500081

Job Summary: We are seeking a Data Scientist with strong Data Engineering skills to bridge the gap between raw data and actionable insights. In this hybrid role, you will work on building robust data pipelines, enabling large-scale data processing, and applying machine learning models to solve real-world business problems. Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines to process structured and unstructured data from various sources. Collaborate with data scientists and analysts to build data infrastructure that supports modeling, experimentation, and advanced analytics. Clean, transform, and organize large datasets for use in machine learning models and statistical analysis . Build and deploy ML pipelines in production environments using MLOps principles . Optimize data workflows for scalability, performance, and cost-efficiency. Monitor and troubleshoot data quality issues, implementing solutions to ensure reliability and accuracy.

Title: Lead Data Scientist (Python) Required Technical Skillset:Language : Python, PySpark Framework - Scikit-learn, TensorFlow, Keras, PyTorch, Libraries - NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database - Relational Database(Postgres), NoSQL Database (MongoDB) Cloud - AWS cloud platforms Other Tools - Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes: Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills: Mathematics and Statistics: A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills: Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques: Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization: Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks: Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies: A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering: A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration: A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Role - Python Developer Contract duration - 6 months (Extendable) Mode: Hybrid (3 days a week) Skills Required: Python, Oops Concept, Data Structures, Algorithms, Libraries- NumPy, Pandas, SciPy, Scikit-learn, Git, Docker, CI/CD, MySQL.

Indian Cyber Security Solutions is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

KnowledgeQ Interactive Consultancy Services Private Limited is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Proficiency with Python (Pandas, NumPy), SQL, and Java. Experience with LLMs, LangChain, and Generative AI technologies. Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). Microservices, CI/CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills. High degree of flexibility - willing to fill in the gaps rather than relying on othersStrong communication skills, especially in presenting data insights. Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments

Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so #niche #NJP Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

The company Exela, a global leader in business process automation (BPA), is seeking a skilled Python Developer with a strong programming background and a fundamental understanding of AI concepts. The ideal candidate will be responsible for designing, developing, testing, and maintaining Python applications and services. They will also collaborate with data teams on integration and automation tasks. Key Responsibilities: - Design, develop, test, and maintain Python applications and services - Utilize REST APIs, data pipelines, and automation scripts - Work on LLM integration, LangGraph, LangChain, preprocessing, and reporting - Write clean, maintainable, and efficient code - Conduct unit testing and participate in code reviews - Optimize performance and troubleshoot production issues Qualifications: - Strong proficiency in Python, including OOP, standard libraries, file I/O, and error handling - Experience with frameworks such as Flask, FastAPI, or Django - Basic understanding of pandas, NumPy, and data manipulation - Familiarity with Git and version control best practices - Experience working with JSON, CSV, and APIs If you are a motivated individual with a passion for Python development and AI technologies, this position offers an exciting opportunity to work on cutting-edge projects in a dynamic and collaborative environment. Join Exela's team of professionals and contribute to the success of our innovative solutions.,

As the Lead Data Scientist at Finicity, a Mastercard company, you will have the opportunity to lead and mentor a team of data scientists in developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring and improving the performance of these models. You will be expected to propose creative solutions to challenges in the financial industry, present technical findings to internal and external stakeholders, and leverage best practices in machine learning and data engineering to develop scalable solutions. To excel in this role, you should have a minimum of 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, as well as experience in transaction classification, risk evaluation, and credit risk modeling would be advantageous. Additionally, you should possess a strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques. Proficiency in SQL and database management is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, and Event Streams. Furthermore, you should have familiarity with relevant tools and frameworks like Tensorflow, Python, Sklearn, and Pandas. Your ability to collaborate effectively and come up with innovative solutions will be crucial in this role. Ideally, you should have a background in Finance or FinTech and hold a Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics. In addition to your technical skills, you should demonstrate a commitment to corporate security responsibilities. This includes abiding by Mastercard's security policies, ensuring the confidentiality and integrity of accessed information, reporting any security breaches, and completing mandatory security trainings as required. Your role as a Lead Data Scientist at Finicity will involve driving innovation and problem-solving in the data science and analytics team to contribute to the financial health of consumers and businesses.,

Manatory SkillSet : python, django, flask, Mongo db, Async programming Python Developer Rel years of exp : 7+ Years Mode of work : Remote or Hybrid ( can look for candidates from Pan India as well) Job Description : We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well. Primary Skills : - Solid experience coding in Python and preferably in Retail domain experience - knowledge of GIT - Expert in Python, with knowledge of Python web framework. - Understanding of the threading limitations of Python, and multi-process architecture - Good understanding of server-side templating language - Code packaging, release, and deployment - Cloud working knowledge (AWS, Azure, GCP) - Database knowledge - MongoDB - Code versioning tools like Git, SVN, etc - Strong Unit testing and Debugging skills Must have skills : - Candidates need a strong understanding of REST API design and coding. - They should be able to design APIs, write contracts, and handle HTTP verbs (GET, POST, PUT, DELETE, etc.) effectively. - Asynchronous Client Webservices : Experience in building asynchronous client webservices is crucial. - Tornado Framework : Knowledge of Tornado is a plus, but not mandatory for the role. - MongoDB : Familiarity with MongoDB is extremely helpful and considered a huge plus for candidates. - Emphasize REST API design, including contract design and proper handling of HTTP verbs. - Focus on improving candidates' knowledge of asynchronous web services (understanding of frameworks like Tornado can be beneficial).