4556 Numpy Jobs - Page 27

Job Description: Forecasting Specialist with Expertise in Inventory Management We are looking for a Forecasting Specialist with a strong background in inventory management and data-driven demand forecasting . This role is focused on optimizing inventory levels and enhancing supply chain efficiency through advanced forecasting models and analytical tools. The ideal candidate will bring expertise in statistical forecasting, data analysis, and technical systems to improve retail inventory operations. Responsibilities Statistical Demand Forecasting : Utilize advanced statistical techniques (e.g., ARIMA , exponential smoothing , seasonal decomposition , regression models ) to create accurate demand forecasts and inventory plans. Inventory Optimization : Apply mathematical models like EOQ (Economic Order Quantity) , Safety Stock Calculation , and Replenishment Algorithms to optimize inventory levels and minimize holding costs. Data Analysis & Reporting : Extract and analyze large datasets from various sources, utilizing SQL and advanced analytics tools to forecast trends, detect anomalies, and ensure inventory alignment with demand. Forecasting Model Development : Continuously develop, refine, and evaluate statistical models to improve forecasting accuracy and adapt to changing consumer behavior. System Integration : Work with ERP systems (e.g., SAP , Oracle ) and integrate them with forecasting platforms (e.g., Demand Works , Forecast Pro ) to streamline inventory management processes and ensure real-time data synchronization. Automation and Scripting : Write Python or R scripts to automate data extraction, cleaning, analysis, and forecasting tasks. Data Visualization & Communication : Leverage tools like Power BI , Tableau , or Google Data Studio to build dashboards that present inventory insights and forecasting accuracy to stakeholders in an actionable format. Continuous Improvement : Apply machine learning techniques (e.g., regression models , decision trees , ensemble methods ) to enhance forecasting models and adapt to new retail trends. Key Technical Skills Statistical Tools & Forecasting : Expertise in R or Python for statistical analysis and time series forecasting. In-depth knowledge of forecasting techniques (ARIMA, Holt-Winters, Exponential Smoothing). Understanding of advanced regression and machine learning algorithms applied to demand prediction and trend analysis. SQL & Database Management Proficiency in writing complex SQL queries to extract and manipulate data from inventory and sales databases (MySQL, PostgreSQL, etc.). Experience working with relational databases and cloud-based solutions for inventory data management. Inventory Optimization Algorithms Advanced understanding of inventory models such as ABC Classification , Just-In-Time (JIT) , Reorder Point (ROP) , Safety Stock Optimization , and Vendor-Managed Inventory (VMI) . Ability to apply algorithms to dynamically adjust reorder quantities based on fluctuating demand. Data Visualization & Business Intelligence Expertise in data visualization tools like Power BI to present key performance metrics and inventory analytics to non-technical stakeholders. Ability to create interactive dashboards that display key inventory KPIs (e.g., stock levels, turnover rates, and demand forecasts). Automation & Scripting Proficient in Python (pandas, NumPy) or R for scripting and automating inventory analysis and forecasting processes. Experience with Jupyter Notebooks or RStudio for developing reproducible analysis workflows. Additional Skills Machine Learning (ML) : Knowledge of machine learning algorithms (e.g., XGBoost , Random Forests , Neural Networks ) for improving predictive accuracy in demand forecasting. Desired Qualifications Bachelor's degree in Statistics , Computer Science , Supply Chain Management , or a related field. Proven experience in a similar technical forecasting or inventory management role, preferably in a retail or e-commerce setting. Strong problem-solving skills and a keen attention to detail in data quality and accuracy. This is a high-impact, technical role where you will leverage your expertise in statistical forecasting , data analysis , and inventory optimization to drive significant improvements in retail inventory management systems. If you are passionate about using advanced data science techniques to solve complex supply chain problems, we encourage you to apply.

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks: Flask / Django / FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Rust programming experience for systems-level or performance-critical components Testing & Automation Unit Testing: PyTest / unittest Automation tools: Ansible / Terraform (good to have) CI/CD pipelines DevOps & Cloud Docker, Kubernetes (basic knowledge expected) Cloud platforms: AWS / Azure / GCP GIT and GitOps workflows Familiarity with containerized deployment & serverless architecture Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles Skills:- Rust, Python, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Data Analytics and pandas

ABOUT THE JOB You will be responsible for taking care of: Lead/mentor data analysts, collaborate with stakeholders all sorts of P&L & product related ad-hoc analysis and investigations, hypothesis generation and validation for any movement in the P&L metric driving end to end analytics and insights to help team take data-driven decisions collaborate across functions like product, marketing, design, growth, strategy, customer relations and technology. What are we looking for? Must have SQL coding skills and Advanced SQL knowledge Must have Data visualization / ETL tool – Tableau / Power BI / SSIS / BODS Must have expertise in MS Excel - VLookup, HLookup, Pivots, Solver and Data Analysis Must have experience in Statistics and analytical capabilities Good to have Python (pandas, NumPy) or R Good to have Machine Learning knowledge & Predictive Modelling Good to have AWS Qualifications and Skills Bachelors or Masters in Technology or any other related field Minimum 5+ years of experience in the analytics role

About Toyota Connected If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. About the Team Toyota Connected India is looking for an experienced Data Scientist to develop models for predicting traffic behaviour scenarios using data from simulations and real-world sources. You’ll work on reinforcement learning, complex event detection, and probabilistic forecasting for real-time decision-making in autonomous systems and smart infrastructure What you will do · Design predictive models for trajectory forecasting , traffic participant’s behaviour , and crossing probabilities . · Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows . · Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviours. · Work with simulation teams to integrate ground truth scenarios and replayable datasets. · Build scoring algorithms for different data dimensions based on the severity and impact . · Evaluate model performance using precision, recall , and event-level accuracy . · Collaborate with data engineers to define feature pipelines and streaming inputs. You are a successful candidate if you have · 3+ years of experience in applied data science, preferably in real-time or simulation-based environments. · Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models , or probabilistic forecasting . · Understanding of reinforcement learning , especially multi-agent settings . · Knowledge of vehicle kinematics , trajectory forecasting , or intelligent transportation systems . Preferred Qualifications: · Experience with simulation environments like CARLA , SUMO or VISSIM simulation data. · Prior work on ADAS , or smart city risk management . · Familiarity with CEP engines or event stream analytics tools. · Understanding of data fusion from camera, LiDAR and other infrastructure inputs. What is in it for you? · Top of the line compensation! · You'll be treated like the professional we know you are and left to manage your own time and workload. · Yearly gym membership reimbursement & Free catered lunches. · No dress code! We trust you are responsible enough to choose what’sappropriate to wear for the day. · Opportunity to build products that improves the safety and convenience of millions of customers · Cool office space and other awesome benefits! Our Core Values: EPIC Empathetic : We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners. Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers Innovative : We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them. Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success! To know more about us ,check out our glassdoor page https://www.glassdoor.co.in/Reviews/TOYOTA-Connected-Corporation-Reviews-E3305334.htm

🚀 About Argus Consulting Argus Consulting is a technology advisory firm delivering cutting-edge digital transformation, AI/ML, and cloud-native solutions to clients across government and enterprise sectors. We empower organizations with intelligent, scalable, and secure solutions—built by passionate innovators. 🎯 Role Overview We’re looking for enthusiastic and driven AI/ML Interns to join our R&D team. You will work on real-world problems in domains such as predictive analytics, NLP, computer vision, and business intelligence , while gaining hands-on experience with tools and workflows used in production-grade AI projects. 🧠 What You’ll Work On Research and build AI/ML models (classification, regression, clustering, etc.) Data wrangling, exploration, and feature engineering on large datasets Assist in model training, validation, tuning, and deployment Work on projects like: Predictive dashboards Chatbots & NLP-based tools Custom AI models for client solutions Collaborate using Git, Jupyter, Python, TensorFlow/PyTorch, etc. Present findings, code, and models to senior developers and leads 🛠️ Key Skills & Requirements Strong foundation in Python and libraries like Pandas, NumPy, Scikit-learn Familiarity with AI/ML concepts: supervised/unsupervised learning, deep learning Exposure to tools like Jupyter, Colab, TensorFlow or PyTorch Good understanding of statistics and data preprocessing Strong problem-solving, curiosity, and communication skills Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related fields 🎓 What You’ll Gain Direct mentorship from industry professionals Experience with real-time AI systems and DevOps integration Internship Certificate & Letter of Recommendation Opportunity to move to: A paid internship after 3 months (based on performance) A full-time employment offer after internship completion

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! JOB LEVEL P20 EMPLOYEE ROLE Individual Contributor Job Description The development engineer will be part of a team working on the development of the illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They is expected to be hands-on problem solver and well conversant in analysing, architecting and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in fundamentals of Machine Learning and Artificial Intelligence. Should have hands on experience through ML Lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands on experience with data synthesis and processing for the purposes of training a model. Relevant work experience in the fields of computer vision and graphics etc. Experience: 2-4 Years in ML Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Job Summary The Associate Data Scientist will be responsible for developing and implementing machine learning models using computer vision and PyTorch. This individual will work closely with a team of data scientists and engineers to support the development of innovative solutions in a fast-paced, collaborative environment. Key Responsibilities Develop and implement machine learning models using computer vision and PyTorch Collaborate with a team of data scientists and engineers to support the development of innovative solutions Conduct data analysis and feature engineering to support the development of machine learning models Use computer vision techniques to extract and analyze data from images and videos Support the deployment and maintenance of machine learning models in a production environment Contribute to the continuous improvement of machine learning processes and practices Key Skills Python Pytorch, Pandas, Numpy, CV2 Experience working on Computer Vision projects Experience with Cloud is a plus

We are seeking a Machine Learning Engineer to develop core ML models for product development. The ideal candidate will have a strong foundation in machine learning principles with experience in building and deploying ML models. Familiarity with Generative AI and Agentic AI is a plus. Key Responsibilities Design, develop, and integrate machine learning models into products. Collaborate with teams to translate requirements into actionable ML models. Enhance and optimize ML pipelines for efficiency and reliability. Apply best practices for ML development and deployment. Utilize generative AI technologies to create innovative product features. Required Qualifications A minimum of 3 years of experience working with ML models in production environments. Strong knowledge of machine learning algorithms, frameworks, and concepts. Proficiency with one or more deep learning frameworks such as PyTorch or TensorFlow. Expertise in Python and associated libraries (e.g., scikit-learn, pandas, numpy). Experience in integrating ML-based features into end-user products. Knowledge in ML operations including model serving, monitoring, and lifecycle management. Insights into generative AI, including large language models and other architectures. Preferred Qualifications Experience in prompt engineering and fine-tuning large language models. Familiarity with vector databases and retrieval-augmented generation techniques. Hands-on experience with cloud computing platforms such as AWS, GCP, or Azure for ML operations. Understanding of container-based deployment technologies such as Kubernetes and Docker. Skills: pytorch,docker,generative ai,cloud computing,ml operations,aws,large language models,python,pandas,prompt engineering,numpy,deep learning frameworks,gcp,lifecycle management,azure,kubernetes,tensorflow,numphy,model serving,monitoring,ml,algorithms,scikit-learn,machine learning

Key Skills & Experience Required: BI Product Development Experience in Apache Superset is mandatory . hands-on experience with any other BI tool (Power BI, Tableau, etc.) is acceptable if they have strong project-based BI development exposure . Must have worked on multiple BI projects end-to-end. Advanced Python & SQL Should have used Python for product development or in complex analytics projects . Must demonstrate advanced SQL knowledge – e.g., optimizing queries, working with large datasets, stored procedures, etc. Ask for specific use cases where their Python and SQL expertise was critical. Advanced Analytics Hands-on experience in one or more of the following: Fraud Analytics Prediction/Forecasting models Statistical or machine learning techniques Familiarity with Pandas, NumPy, Scikit-learn, or similar Python libraries is a plus. Client Management Should have experience managing BI projects for external or internal clients . Capable of understanding client requirements, presenting solutions , and managing delivery timelines and stakeholder expectations.

Job Title: Data Science Trainer Company: HERE AND NOW Artificial Intelligence Research Institute Location: HERE AND NOW AI, Salem About Us At the HERE AND NOW Artificial Intelligence Research Institute, we are at the forefront of AI innovation. Our mission is to empower the next generation of AI professionals through comprehensive education, innovative AI applications, and groundbreaking research. We are looking for a passionate and experienced Data Science Trainer to join our team and help us achieve our goals. Job Description Title: Data Science Trainer Location: Salem, Tamil Nadu Job Type: Part-Time / Contract Date of Training: 28.07.2025 Experience: Minimum 2 years in Data Science, Machine Learning, or AI domain Industry: IT Training / EdTech / Technical Education About the Role We are hiring a dedicated and skilled Data Science Trainer in Salem to deliver hands-on training in Python for Data Science, Machine Learning, Big Data Analytics, and Deep Learning. If you're passionate about teaching and mentoring aspiring data scientists, this is your chance to contribute to the AI revolution. Responsibilities Deliver interactive classroom or virtual sessions covering: Data Science: Python, Pandas, NumPy, Matplotlib, Statistics, Machine Learning (Supervised & Unsupervised), Model Evaluation, Real-world Projects. Big Data Analytics: Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig, Sqoop, Flume), Apache Spark, Spark SQL, Spark MLlib, NoSQL basics (MongoDB/Cassandra). Deep Learning: Neural Networks, CNN, RNN, LSTM, GANs, using TensorFlow, Keras, and Google Colab. Design and customize curriculum for beginner to intermediate learners. Facilitate real-time mini-projects, assignments, and model-building activities. Evaluate student progress and provide mentorship. Collaborate with academic and placement teams to ensure outcomes align with industry needs. Required Skills Strong understanding of Python and ML libraries (Pandas, Scikit-learn, Matplotlib, Seaborn). Proficiency in Big Data tools: Hadoop, Spark, Hive. Familiarity with Deep Learning frameworks: TensorFlow, Keras. Understanding of statistical concepts and machine learning algorithms. Excellent communication, presentation, and mentoring skills. Willingness to conduct sessions at our Salem center. Preferred Qualifications B.E./B.Tech/MCA/M.Sc in Computer Science, Data Science, or related fields. Training experience in Data Science, Big Data, or AI. Certification in Data Science/Machine Learning/Big Data preferred. Exposure to cloud tools (AWS/GCP) and BI tools (Power BI/Tableau) is a plus. Benefits Competitive salary + performance-based incentives Opportunity to be part of a growing AI research and training community Certificate of contribution for each training batch Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Benefits: Flexible schedule Food provided Paid sick time Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Shift allowance Experience: total work: 2 years (Required) Work Location: In person

Role: Data Scientist Experience: 4-8 Years Working Days: 5 Days Work Mode: Hybrid (One week work from office in a month) Location: Bangalore/ Chennai Notice Period – Immediate or 15 days maximum You are a successful resource for this role, if you have- · 3+ years of experience in applied data science , preferably in real-time or simulation-based environments. · Strong proficiency in Python , NumPy, Pandas , and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models, or probabilistic forecasting. · Understanding of reinforcement learning , especially multi-agent settings. · Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.

As a Python Intern at ADI Group based in Mohali, you will have the unique opportunity to be a part of a multidisciplinary company with a global presence across four continents. Founded in 1999 and known for its innovative services, ADI Group offers end-to-end solutions in animation, IT development, medical writing, data services, and clinical research support to various industries like real estate, healthcare, education, and biotech. In this role, you will work closely with our development team to gain hands-on experience in software development, data processing, and scripting within a professional environment. Your responsibilities will include assisting in the development, testing, and maintenance of Python applications, collaborating on automation scripts, data processing tasks, and backend development, as well as debugging and troubleshooting issues in existing codebases. To qualify for this position, you should be currently pursuing or have recently completed a degree in Computer Science, Information Technology, Engineering, Data Science, Statistics, or a related technical field. Basic knowledge of Python and its libraries, familiarity with object-oriented programming concepts, and an understanding of version control systems, particularly Git, are essential. Problem-solving skills, a strong willingness to learn, good communication skills, and the ability to work effectively in a team are also required. While exposure to APIs, web development, or database systems and knowledge of the software development life cycle are preferred, they are not mandatory. Experience with cloud platforms like AWS, GCP, or Azure is considered a plus. As a Python Intern at ADI Group, you can look forward to mentorship from experienced developers, the opportunity to work on real-world projects, flexible working hours, a certificate of completion, and potential full-time opportunities based on your performance. This is a full-time unpaid internship for a duration of 6 months with a day shift schedule and the work location is in person. Join us at ADI Group to embark on a rewarding journey of learning and growth in the field of software development and data processing.,

As a Python Django & JavaScript Developer with 3-4 years of experience, you will be an integral part of the digital team at our company based in Gurgaon. The company has undergone a tech transformation, resulting in the establishment of a separate digital unit that operates in an agile manner to meet the evolving business requirements. Your primary responsibility will involve working on the telesales routing engine, which is integrated with our website and other lead sources. You will collaborate with a small team of 3 developers in a fast-paced environment, engaging regularly with business teams. The team plays a crucial role in driving the growth of our telesales channel through continuous improvements and new developments on the routing engine, based on inputs from analytics and the business team. Additionally, real-time analytics and profiling tools are deployed to enhance lead conversion. Key Requirements: - Hands-on experience of 3-4 years in core Python and Django framework with a good understanding of Javascript. - Proficiency in frameworks, new solutions development, system design, enhancement, and modernization using Python, Django, Postgres, or MySQL. - Fundamental knowledge of front-end technologies such as JS, CSS3, and HTML5. - Desirable familiarity with Angular, React JS, Web frameworks, and RESTful APIs. - Proven project management skills, delivering to project timetables, and providing technical solutions. - Ability to manage multiple tasks within the same assignment effectively and prioritize tasks. - Strong architecture knowledge to build systems supporting business goals, understanding various architectural styles. - Effective interpersonal skills to collaborate within teams, external teams (Marketing, Sales, Product), management, and partners. - Experience with code packaging, release, deployment, and versioning tools like Git, SVN. - Knowledge of enterprise platforms and tools like Apache/NGINX. Roles and Responsibilities: - Writing efficient, reusable, testable, and scalable code. - Analyzing and implementing business needs, feature modification requests, and converting them into software components. - Developing backend components to enhance performance and receptiveness, server-side logic, platform, statistical learning models, and highly responsive web applications. - Designing and implementing high availability and low latency applications, data protection, and security features. - Enhancing the functionalities of current software systems. - Working with Python libraries like Pandas, NumPy, etc. - Mentoring other team members. Required Skills and Experience: - Industry: IT/Computers-Software - Role: Software Engineer - Key Skills: Python, Django, JavaScript, MySQL, React, Angular, CSS, HTML - Education: B.Sc/B.Com/M.Sc/MCA/B.E/B.Tech - Email ID: Resume.Augusta@augustainfotech.com If you meet the above requirements and are interested in being part of a dynamic team driving technological advancements, we encourage you to apply with your resume and other details to Info@augustainfotech.com. Immediate joiners are preferred.,

NTT DATA is looking for a Sr Information Security Engineer to be a part of their team based in Bangalore, Karnataka (IN-KA), India. As a Sr Information Security Engineer, you will bring your expertise and experience in IT Technology, AI / ML, data engineering, python coding, and enterprise-wide integration programs to contribute to our innovative and forward-thinking organization. **Required Skills:** - You should have at least 5 years of experience in IT Technology. - With a minimum of 2 years of experience in AI / ML, you should possess a strong working knowledge in neural networks. - Having 2+ years of data engineering experience, preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda, will be an added advantage. - Your proficiency should include 2+ years of python coding using numpy, vectorization, and Tensorflow. - You must have 2+ years of experience in leading complex enterprise-wide integration programs and efforts as an individual contributor. **Preferred Skills:** - A degree in Mathematics or Physics would be preferred. - Technical knowledge in cloud technologies such as AWS, Azure, and GCP for at least 2 years is desirable. - Excellent verbal, written, and interpersonal communication skills are a must. - Your ability to provide strong customer service will be highly valued. If you are someone who is passionate about innovation and growth, and can contribute effectively to our diverse and global team, we encourage you to apply now and be a part of NTT DATA's commitment to helping clients innovate, optimize, and transform for long-term success. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. With a strong presence in more than 50 countries, we serve 75% of the Fortune Global 100 and have a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Being one of the leading providers of digital and AI infrastructure globally, we are dedicated to helping organizations and society move confidently and sustainably into the digital future. Join us in this journey towards innovation and success! #LI-INPAS,

As a Python Developer specialized in Data Science & Django at I Vision Infotech, you will play a crucial role in developing back-end web applications with a focus on writing clean and efficient Python code. Your responsibilities will include collaborating with cross-functional teams to integrate user-facing elements with server-side logic, designing, developing, and maintaining software applications and databases, and ensuring high performance and responsiveness. You will be expected to work on developing web applications using Django, handling data collection, processing, and visualization using libraries such as Pandas, NumPy, and Matplotlib, building REST APIs using Django REST Framework, and collaborating with the team for real-world project deployments. Additionally, your role will involve working closely with data science teams to implement and optimize data-driven solutions through object-oriented programming and software development. To excel in this role, you should possess a strong knowledge of Python programming, a basic understanding of data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn), hands-on experience with Django or Django REST Framework, and familiarity with HTML, CSS, and JavaScript at a basic level. Knowledge of Git is considered a plus. The ideal candidate will hold a degree in B.E/B.tech/BCA/MCA/BSc/MSc (CS/IT) or equivalent. Joining I Vision Infotech will offer you real-time project exposure, an internship/training certificate, and flexible working hours, providing you with a conducive environment to enhance your skills and grow in your career. If you are passionate about Python and eager to work on cutting-edge projects in the field of Data Science and Django, we look forward to having you on board.,

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

You are looking for a skilled and analytical Data Analyst with expertise in data modeling, data analysis, and Python programming. As a Data Analyst, you will be responsible for designing data models, conducting in-depth analysis, and creating automated solutions to facilitate business decision-making and reporting. Your key responsibilities will include designing and implementing conceptual, logical, and physical data models to support analytics and reporting. You will analyze large datasets to uncover trends, patterns, and insights that drive business decisions. Additionally, you will develop and maintain Python scripts for data extraction, transformation, and analysis. Collaboration with data engineers, business analysts, and stakeholders to comprehend data requirements is essential. Creating dashboards, reports, and visualizations to effectively communicate findings will be part of your role. Ensuring data quality, consistency, and integrity across systems, as well as documenting data definitions, models, and analysis processes, will also be key responsibilities. The ideal candidate for this position should have strong experience in data modeling, including ER diagrams, normalization, and dimensional modeling. Proficiency in Python for data analysis using Pandas, NumPy, Matplotlib, etc., is required. A solid understanding of SQL and relational databases is necessary, along with experience in data visualization tools such as Power BI, Tableau, or matplotlib/seaborn. You should be able to translate business requirements into technical solutions and possess excellent analytical, problem-solving, and communication skills. Virtusa values teamwork, quality of life, professional and personal development. Joining Virtusa means becoming part of a global team of 27,000 individuals who are dedicated to your growth. You will have the opportunity to work on exciting projects and leverage state-of-the-art technologies throughout your career with us. At Virtusa, collaboration and a team-oriented environment are paramount, providing great minds with a dynamic space to cultivate new ideas and promote excellence.,

Dear Candidate, Hope you are doing well! CMS Computers Limited (INDIA) is currently looking to fill the position in data Analytics / BI in Mumbai (Bhandup) with a work from office (WFO) setup. The ideal candidate should have 2-3 years of experience in areas such as Investment, real estate, taxation, finance, and accounts. Please note that immediate to 15 days" notice period will be considered. In another opportunity, CMS Computers Limited (INDIA) is hiring for a CA Requirement position in Mumbai (Bhandup) with a work from office (WFO) setup. This role requires a candidate with 8+ years of experience. The candidate should have expertise in data Analytics / BI domain, with specific skills in Python for data Analytics projects, advanced SQL for backend operations, experience in working on various projects across different domains and use cases, good communication skills, and the ability to lead a team effectively. The ideal candidate for the data Analytics / BI role should possess 6 to 11 years of hands-on experience with Python, proficiency in Python data structures and algorithms, familiarity with libraries like Pandas, numpy, requests, and experience in scripting and framework creation using Python. Knowledge of SCM tools like Git, Bitbucket, working with RDBMS using SQL, unit testing frameworks, and performance testing are also required. Strong communication and debugging skills are essential for this role. Key Responsibilities: - Write effective, scalable code - Develop back-end components to enhance responsiveness and performance - Integrate user-facing elements into applications - Test and debug programs - Enhance functionality of existing systems - Implement security and data protection solutions - Assess and prioritize feature requests - Collaborate with internal teams to understand user requirements and provide technical solutions Requirements and skills: - Work experience as a Python Developer - Proficiency in at least one popular Python framework (e.g., Django, Flask, or Pyramid) - Knowledge of object-relational mapping (ORM) - Familiarity with front-end technologies such as React JS, JavaScript, and HTML5 - Team player with good problem-solving skills Desired Skills: - Experience with cloud platforms - Knowledge of Big Data technologies like Pyspark/Spark-Scala - Working knowledge of Kubernetes, dockerization, and Terraform If you are interested in this opportunity, please share your updated resume at chaitali.saha@voqeoit.com. Kindly provide the following details for further processing: - Total Experience - Relevant Experience in - Current CTC - Expected CTC - Notice Period - Negotiable Notice Period - Last WD (if not working) - Job offers in hand Regards, Chaitali Saha Talent Acquisition Group at Voqeoit Technologies Email: chaitali.saha@voqeoit.com Contact no: 8088779710 Website: www.voqeoit.com Thank you.,

As a Python Developer leading the Data Analytics/BI domain with over 8 years of experience, you will play a crucial role in Mumbai (Bhandup) on-site. Your primary responsibilities include leveraging your expertise in Python, specifically in data analytics projects, and showcasing advanced SQL skills for backend development. Your experience in working across multiple projects in various domains and use cases will be invaluable. With a strong emphasis on effective communication, you will drive existing analytics products and manage a team. This role calls for a balance of technical prowess (70%) and management skills (30%). Notably, our Analytic Tool/product is already available on the AWS marketplace. Your role demands 6 to 11 years of hands-on experience in Python, demonstrating the ability to write robust code and a deep understanding of data structures, data transformation, and algorithms. Proficiency in Python libraries such as Pandas, NumPy, and Requests is essential, along with using Python for scripting and framework creation. In addition, familiarity with SCM tools like Git and Bitbucket, RDBMS, unit testing frameworks like pytest, and performance testing will be beneficial. You should possess excellent communication and debugging skills to effectively collaborate with the team. Your tasks will involve writing scalable code, developing back-end components for enhanced responsiveness, integrating user-facing elements, testing and debugging programs, and improving existing systems" functionality. Furthermore, implementing security and data protection solutions, assessing feature requests, and providing technical solutions aligned with user requirements will be part of your routine. Key Requirements and Skills: - Proven work experience as a Python Developer - Expertise in at least one popular Python framework such as Django, Flask, or Pyramid - Knowledge of object-relational mapping (ORM) and familiarity with front-end technologies like React JS, JavaScript, and HTML5 - Strong team spirit and problem-solving skills Desired Skills: - Cloud Experience - Big Data knowledge in Pyspark/Spark-Scala - Working knowledge of Kubernetes, dockerization - Experience with Terraform If you are a result-oriented programmer with a proactive approach, exceptional technical skills, and a passion for leading data analytics projects, we welcome your application to join our dynamic team.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

Company Introduction iServeU is a modern banking infrastructure provider in APAC region, empowering financial enterprises with embedded fintech solutions for their customers. iServeU is one of the few certified partners with National Payment Corporation of India (NPCI), VISA for various products. iServeU also provides a cloud-native, micro services-enabled, distributed platform with over 5000 possible product configurations with a low code/no code interface to banks, NBFCs, Fintech, and other regulated entities. We process around 2500 transactions per second by levering distributed & auto scale technology like K8. Our core platform combines of 1200+ micro services. Our customer list includes Fintech start-ups, top tier private banks to PSU bank. We operate in five countries and help customers constantly change the way financial institutions operate and innovate. Our solutions currently empowers over 20 banks and 250+ enterprises across India and abroad. Our platform seamlessly manages the entire transaction lifecycle, including withdrawals, deposits, transfers, payments, and lending through various channels like digital, branch, agents. Our team of 500+ employees, with over 80% in technology roles is spread across offices in Bhubaneswar, Bangalore and Delhi. We have raised $8 million in funding to support our growth and innovation. For more details visit: www.iserveu.in Job Position : Research Assistant Location: Bhubaneswar Reports To: CTO Job Summary We are seeking a highly motivated and detail-oriented Research Assistant to support our ongoing research projects. The successful candidate will play a crucial role in various stages of the research lifecycle, from data collection and analysis to literature review and administrative support. This position is ideal for an organized individual with strong analytical skills and a passion for [specific research area, if applicable, e.g., artificial intelligence, data science, embedded systems, cybersecurity, cryptography, blockchain]. Key Responsibilities Literature Review & Information Gathering: Conduct comprehensive literature searches using various databases and resources. Summarize, synthesize, and critically evaluate relevant research papers, articles, and reports. Maintain an organized database of research materials and citations. Data Collection & Management: Assist in the design and development of data collection instruments (e.g., surveys, experimental protocols, data pipelines). Collect, organize, and manage research data, ensuring accuracy, completeness, and adherence to ethical guidelines. Maintain meticulous records of research activities and data sources. [If applicable: Develop scripts for data extraction, perform data cleaning, manage large datasets.] Data Analysis & Interpretation: Assist with preliminary data analysis using statistical software (e.g., R, Python, MATLAB) or specialized computational tools. Generate tables, charts, and graphs to visualize data findings. Contribute to the interpretation of results and identification of key insights. Summarize research papers for easy consumption. Programming & Prototyping: Assist in developing and testing software prototypes, algorithms, or models relevant to the research. Write clean, well-documented, and efficient code. Debug and troubleshoot technical issues. Report Writing & Dissemination: Assist in drafting, editing, and formatting research reports, presentations, and manuscripts. Prepare summaries of findings for internal and external communication. Ensure all written materials adhere to academic/professional standards and guidelines. Project Coordination & Administrative Support: Assist with the day-to-day coordination of research projects, including scheduling meetings, managing timelines, and tracking progress. Handle general administrative tasks as needed to support the research team. Ensure compliance with all relevant research protocols, ethical guidelines, and institutional policies. Requirements Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Data Science, or a closely related technical field. 1-2 years of experience in a research setting (can include academic projects, internships, or previous research assistant roles). Less than 28 years of age, candidates enrolled in PhD programs can apply. Strong analytical and critical thinking skills. Excellent written and verbal communication skills. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). High level of attention to detail and accuracy in data handling and record-keeping. Ability to work independently and collaboratively within a team environment. Strong organizational and time management skills, with the ability to manage multiple tasks simultaneously. Demonstrated ability to learn new software and research methodologies quickly. Preferred Qualifications Experience with programming languages commonly used in research (e.g., Python, Java, C++). Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) or machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with version control systems (e.g., Git). Familiarity with research ethics and human/animal subject protection protocols (IRB/IACUC). Experience in computational modeling, algorithm design, data mining, machine learning, or software development for research. Prior experience with cloud computing platforms (e.g., AWS, GCP, Azure) for research purposes or specialized research software/tools. A strong interest in [specific sub-field of research, e.g., Artificial Intelligence, Machine Learning, Cybersecurity, Human-Computer Interaction, Data Science, Computer Vision, Natural Language Processing].

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze large volumes of historical data for making predictions. You will run tests, perform statistical analysis, and interpret the results, documenting machine learning processes. As a Lead Engineer in ML and Data Engineering, you will oversee the technologies, tools, and techniques used within the team. Collaboration with the team based on business requirements for designing the requirements is essential. You will ensure that development standards, policies, and procedures are adhered to and drive change to implement efficient and effective strategies. Working closely with peers in the business to fully understand the business process and requirements is crucial. Maintenance, debugging, and problem-solving will also be part of your job responsibilities. Ensuring that all software developed within your team meets the business requirements specified and showing flexibility to respond to the changing needs of the business are key aspects of the role. Your technical skills should include 4+ years of experience in Python, API development using Flask/Django, and proficiency in libraries such as Pandas, Numpy, Keras, Scipy, Scikit-learn, PyTorch, Tensor Flow, and Theano. Hands-on experience in Machine Learning (Supervised & Unsupervised) and familiarity with Data Analytics Tools & Libraries are required. Experience in Cloud Data Pipelines and Engineering (Azure/AWS) as well as familiarity with ETL Pipelines/DataBricks/Apache NiFi/Kafka/Talend will be beneficial. Ability to work independently on projects, good written and verbal communication skills, and a Bachelor's Degree in Computer Science/Engineering/BCA/MCA are essential qualifications for this role. Desirable skills include 2+ years of experience in Java.,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,