494 Scipy Jobs - Page 11

Implement Web applications in Python/Django Understanding project requirement & converting into technical requirements Independently do the coding/development of complex modules Independent contributor, high quality software within the timelines Ensure high quality releases through appropriate QC and QA activities Participate in technical discussions / reviews Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications 1.5-3 years relevant experience in developing applications for financial services clients 1-3 years of experience implementing web application in Python/ Django Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models Good understanding of SDLC phases of application development Must be able to design and develop web applications using Open source technology (Python) Should have good understanding and exposure to unit testing. Job Location

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. What You Will Do You will work in agile teams through good collaboration with our colleagues in Technology development all around the world. You will lead the team and be responsible for understanding customer usage and performance of our products as well as understand needs of our internal data consumers for providing solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance. You will extract insights, make meaningful interpretations, recommendations and eventually predictions from the Data available from various sources to support our endeavour in moving towards Data Driven Powertrain Development. You will work on all aspects of Data by combining techniques in Data Engineering, Data Analytics and Data Science. You will have the opportunity to analyse and solve real world problems with state-of-the-art techniques like Advanced Analytics, Natural Language Processing (NLP), Machine Learning, and Generative AI on the base of strong statistical knowledge. You get the opportunity to follow your Data Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers. We have an agile way of working, where each team plan their activities in sprints and deliver solutions together as a team. We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed. The tasks can be either part of a larger project or short tasks to improve products currently in production. You will get the opportunity to interact with highly committed colleagues from different cultures. You will keep strong communication with project managers, software developers, calibration, simulation and test engineers. We hope you will learn as much from us as we will from you. Who are you? We believe that to be successful in this position, you are a team player, have strong experience in Statistics, Data analytics, machine learning, generative AI and a will to deliver with effective communication techniques (Data story telling). You have a Passion and have demonstrated success in Leading a Team competent in solving real world problems with Data. You must have a proven experience in Data modelling – Regression, Clustering, Neural Networks, Time series etc. and should have used them in solving real-life challenges (prediction, automation, real time optimization etc). You have a strong competence in Presenting Insights gained from Data Analytics through Visualization tools like Power BI. You have a willingness to learn and take more responsibility with can-do attitude. You will be greatly appreciated in this role if you have demonstrated Predictive analysis and decision-making using Data. If you are a Master’s Degree holder in Mechanical/Automobile/Electronics/Mechatronics Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering (or Automotive Industry) with proven skills in handling and analysing large set of data to make meaningful interpretations and if you believe that you can work smoothly with Python ( including libraries like NumPy, SciPy, Pandas, TensorFlow) , R, SQL, Git, Azure, Hadoop then you can be a good fit into this role. You also have strong experience in applying machine learning methods like supervised, unsupervised and reinforcement learning. Experience of working with relational databases, data privacy and understanding of IOT based instrumentation design with additional data logging to build or validate models is a big plus. A passion for turning data into knowledge with great visualizations and an experience of working with plant/ component models, and integration of these models into SIL/MIL/HIL evaluations would be an icing on the cake. What’s in it for you? At Volvo Group Trucks Technology - Powertrain Engineering, we have a big emphasis on how Data should Drive our Future Developments in Technology and Engineering. We are currently looking for a Senior Data Scientist who can helps us to accelerate in our journey. Do you want to be part of a team where you get the chance to contribute to a better environment and sustainable future through Data Driven Decision making? Good, we are ready for you! Ready for the next move? If you are curious to explore how we put our words into actions, follow us on LinkedIn and volvogroup.com. Are you excited to bring your skills and disruptive ideas to the table? We can’t wait to hear from you. Apply today! We value your data privacy and therefore do not accept applications via mail. Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Posted On: 27 Jun 2025 Location: Noida, UP, India Company: Iris Software Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description Should be having 6 to 8 years of industry experience. Strong with libraries like Pandas, Numpy, Scipy etc. OR should have good exposure on file handling in Python Strong querying data from database(i.e. oracle etc.) using database query language like SQL, MYSQL Strong basic python concepts (like list, tuple, dictionary etc. ) and Object orient programming in Python (like classes etc.) Should have knowledge of at least one python framework (like flask etc.) Experience with Linux/Unix environment along with knowledge of basic Linux commands (i.e cut, sort, uniq etc.) Mandatory Competencies Python - Numpy Python - Panda Python - Python UI - Angular 2+ Others - Micro services Java - Core JAVA Database - SQL Database - MySQL Java - Unix Java - Linux Beh - Communication and collaboration Perks and Benefits for Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

JOB DESCRIPTION - Why this Job is Amazing: Computer vision engineers apply computer vision and machine learning research to solve real-world problems. Their work uses large sums of data and statistics in order to complete complex tasks and supervised learning as part of computer vision tasks. Their work uses large sums of data and statistics in order to complete complex tasks and supervised learning as part of computer vision tasks. Influences top management internally & externally (industry) to accept new ideas. Creates and conceptualizes solutions to Artivatic in specific discipline. Objective of the position: The purpose of computer vision is to program a computer to understand a scene or features in an image. Typical goals of computer vision include: The detection, segmentation, localization, and recognition of certain objects in images (e.g., human faces) Role and Responsibilities: -Developing novel algorithms and modelling techniques to advance the state of the art in Document and Text Extraction -Image recognition, Object Identification, and Visual Recognition -Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products -Be responsible for measuring and optimizing the quality of your algorithms Mandatory traits/ skills: -Excellent skills in developing Python in the Linux environment. -Programming skills with multi-threaded GPUs. -Experience in applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images -Good knowledge of Computer Science, math, and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.) -Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc. -Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling, and Execution. -Familiarity with Open CV, Dlib, Yolo, Capsule Network or similar and Open Source AR platforms and products -Have profound knowledge of Seq2Seq, temporal Classification, Opencv, etc. -Should have logical knowledge for generating the real-time dataset. -Added advantage if you have worked in Unstructured Documents -Strong problem-solving and logical skills. -A go-getter kind of attitude with a willingness to learn new technologies -Well-versed in software design paradigms and good development practices Qualifications  Bachelors or Master's degree in Computer Science, Computer vision, or related field with specialization in Image Processing or machine learning.  3-8 Years of Industry experience in Computer Vision  Research experience in Deep Learning models for Image processing or OCR-related field is preferred  Publication record in Deep Learning models for Computer Vision conferences/journals is a plus

Objectives Of This Role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your Tasks Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Required Skills And Qualifications 2+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. (ref:hirist.tech)

Role Summary As an AI Engineer , you will lead the development and deployment of real-time AI modules for facial analysis and vital sign estimation based on video streams. Key Responsibilities Research, prototype, and productionize computer vision models for: Facial expression recognition (emotion classification) Remote photoplethysmography (rPPG) for BPM estimation SpO estimation from RGB video signals Preprocess webcam images for signal enhancement (ROI extraction, denoising) Integrate ML models into the backend (FastAPI-based), processing real-time webcam input Optimize models for latency, accuracy, and resource usage (on CPU/GPU) Deploy AI models as Dockerized microservices (REST/WS-based inference APIs) Work with frontend and backend teams to ensure seamless model integration Conduct internal validation, A/B testing, and ongoing calibration Tech Stack / Tools Languages : Python (must), PyTorch or TensorFlow CV/ML Libraries : OpenCV, Mediapipe, dlib, scikit-learn Signal Processing : numpy/scipy, rPPG libraries (e.g., DeepPhys, MTTS-CAN) Deployment : FastAPI, Docker, ONNX, TorchScript Infra : Redis, PostgreSQL, AWS (GPU EC2, S3, ECS) Required Skills 3+ years of experience building computer vision or bio-signal AI models Hands-on experience with facial emotion recognition using CNNs/RNNs/transformers Familiarity with rPPG-based BPM & SpO estimation from webcam videos Strong background in signal processing , noise reduction, and ROI selection Ability to write production-grade Python code and deploy AI inference services Experience optimizing models for inference (quantization, pruning, ONNX) Nice to Have Experience with real-time WebRTC or webcam processing Familiarity with ML pipelines (MLflow, ClearML, SageMaker) Experience with face tracking (MediaPipe FaceMesh, dlib landmarks) Familiarity with multi-modal emotion detection (face + voice) Knowledge of privacy-preserving AI methods (differential privacy, edge inference) What Youll Own Accurate real-time facial emotion AI module Vital signs (SpO/BPM) module with acceptable medical-grade error margins Robust backend integration for WebSocket/webcam flow Scalable AI deployment strategy for 10K 1M users

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Python/Quant Engineer Key Responsibilities: Design, develop, and maintain scalable Python-based quantitative tools and libraries. Collaborate with quants and researchers to implement and optimize pricing, risk, and trading models. Process and analyze large datasets (market, fundamental, alternative data) to support research and live trading. Build and enhance backtesting frameworks and data pipelines. Integrate models with execution systems and trading platforms. Optimize code for performance and reliability in low-latency environments. Participate in code reviews, testing, and documentation efforts. Required Qualifications: 5+ years of professional experience in quantitative development or similar roles. Proficiency in Python , including libraries like NumPy, Pandas, SciPy, Scikit-learn , and experience in object-oriented programming. Strong understanding of data structures, algorithms , and software engineering best practices. Experience working with large datasets, data ingestion, and real-time processing. Exposure to financial instruments (equities, futures, options, FX, fixed income, etc.) and financial mathematics. Familiarity with backtesting, simulation , and strategy evaluation tools. Experience with Git , Docker , CI/CD , and modern development workflows. Preferred Qualifications: Preferred Experience with C++ for performance-critical modules. Knowledge of machine learning techniques and tools (e.g., TensorFlow, XGBoost). Familiarity with SQL / NoSQL databases and cloud platforms (AWS, GCP). Prior experience in hedge funds, proprietary trading firms, investment banks, or financial data providers.

We are seeking an Optimization Specialist focused on developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. In this role, you will play a pivotal part in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions that optimize complex business processes The ideal candidate will excel in formulating and solving various optimization problems (LP, MILP, combinatorial optimization, scheduling, etc.) and will be adept in applying innovative algorithms to achieve optimal solutions. Our current technical environment: Language: Python Frameworks/Others: COIN-OR , PyTorch, NumPy, SciPy, Pyomo and Django Application Architecture: Scalable, Resilient, Reactive, event driven, secure microservices architecture. Cloud: AWS What you’ll do: Mathematical Optimization Solvers: Design, develop, and implement advanced mathematical optimization models and solvers to address complex business challenges across various domains, such as scheduling, routing, resource allocation, and inventory management. Identify and model optimization problems across different kinds of Manufacturing businesses, focusing on LP, MILP, combinatorial optimization, and scheduling. Design and implement robust optimization algorithms, including both classical methods and advanced heuristic and metaheuristic techniques Evaluate and select appropriate non-commercial (e.g., COIN-OR, SCIP) and commercial solvers (e.g., Gurobi, CPLEX, COIN-OR, PuLP or AMPL) for specific problems, customizing and extending as necessary. Machine Learning Model Development: Design, develop, and deploy machine learning models to analyze large datasets, generate insights, and make predictions that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms. Perform data analysis and statistical validation of models and solutions, ensuring accuracy and efficacy. Keep abreast of the latest developments in optimization and computational intelligence, incorporating these advancements into problem-solving strategies. Push the team towards better quality software by constructively pointing out opportunities to reduce complexity and to write cleaner code and more effective tests. Identify root causes of issues and fixes those rather than their symptoms. Design services to be self-healing and to offer self-service capabilities from the ground up to achieve minimum manual intervention. What we are looking for: 1-3 years of experience in Operations Research and Python programming Bachelors in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. Has experience building optimization models from scratch Preferably have some constraint programming knowledge and know-how to Understand standard scheduling / job shop model models and improve upon them Demonstrable experience with both non-commercial and commercial optimization solvers, with a keen ability to tailor solutions to complex problems. Strong statistical analysis skills, with proficiency in tools such as Python. Excellent problem-solving abilities, creativity in approach, and a track record of innovative solutions in optimization. Effective communication skills for presenting complex concepts to technical and non-technical audiences. About Techtinium Techtinium has a passion for innovative products. Specializing in the design and development of exceptional software, our diverse team includes developers, architects, designers, analysts, testers, project managers, and proud caffeine enthusiasts. Our success is rooted in the belief that our people are our greatest asset. Through careful selection, sourcing, hiring, and retention, we’ve cultivated a team of intelligent and motivated experts dedicated to delivering superior software solutions. At Techtinium, we consistently exceed expectations, fostering enduring relationships that have led to the establishment of separate dedicated companies to manage and nurture our products. Joining Techtinium means embarking on a journey where your skills are honed across the entire software development lifecycle. From mastering scalable applications to thriving in a positive, thought-provoking, and collaborative environment, your contributions will be valued in shaping creative solutions for our global clientele. If you’re ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We’re eager to welcome you to our team!

As a Senior Technical Specialist, you will play a key role in developing and maintaining network management applications for optical transport technologies, ensuring efficient configuration, fault supervision, and performance monitoring. You will leverage your expertise in data science and machine learning to enhance network management capabilities, applying advanced models and feature engineering techniques. With strong proficiency in Python, Java, GoLang, and cloud-based technologies, you will drive innovation, optimize performance, and enable seamless deployments through CI/CD pipelines. Your adaptability and leadership will help mentor junior developers, foster collaboration, and navigate the fast-paced, evolving landscape of optical network management. This role offers the opportunity to make a significant impact on global deployments while continuously learning and growing in a cutting-edge technological environment. You have: Bachelors degree or equivalent, with 7 to 12 years of experience as a Data Scientist. Analyze data and apply appropriate models (univariate, multivariate). Expertise in various learning models, including supervised, unsupervised, and different neural network variations. Proficient in applying probabilistic and stochastic models to different datasets and performing feature engineering for various models. Stay up to date with the capabilities and limitations of different models and distinguish between real-time and batch processing needs. Strong domain knowledge or the ability to learn the Optical Transport domain for effective feature engineering. It would be nice if you also had: Proficiency in NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow, GoLang, and corresponding packages for Java and Python, as well as various Time Series databases. Ability to differentiate between Proof-of-Concept mode and deployment for small- and large-scale data using CI/CD pipelines. Adaptability to rapidly evolving technology and tools, with a proven ability to learn quickly. Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET. Optics Network Management applications provide users with control over the network, including configuration (infrastructure, end-to-end services), fault supervision, and performance monitoring. These applications interface with various Network Elements, provide a user-friendly graphical interface, and implement algorithms and functions to facilitate network management and reduce OPEX. Optics Network Management applications are deployed worldwide in hundreds of installations, serving both large enterprises and small customers. The Software Development Engineer for Optics Network Management will be part of the development team, contributing to new developments and maintaining applications to enhance functionality and customer satisfaction.

As a Senior Technical Specialist, you will play a key role in developing and maintaining network management applications for optical transport technologies, ensuring efficient configuration, fault supervision, and performance monitoring. You will leverage your expertise in data science and machine learning to enhance network management capabilities, applying advanced models and feature engineering techniques. With strong proficiency in Python, Java, GoLang, and cloud-based technologies, you will drive innovation, optimize performance, and enable seamless deployments through CI/CD pipelines. Your adaptability and leadership will help mentor junior developers, foster collaboration, and navigate the fast-paced, evolving landscape of optical network management. This role offers the opportunity to make a significant impact on global deployments while continuously learning and growing in a cutting-edge technological environment. You have: Bachelor's degree or equivalent, with 7 to 12 years of experience as a Data Scientist. Analyze data and apply suitable models (single variate, multivariate). Expertise in different learning models (Supervised, Unsupervised, and various Neural Network variations). Proficient in applying probabilistic and stochastic models to different data sets and performing feature engineering for various models. Stay up to date with the capabilities and limitations of different models and distinguish between real-time and batch processing needs. It would be nice if you also had: Proficiency in NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow and GoLang, corresponding packages for Java, Python, and various Time Series databases. Ability to differentiate between Proof-of-Concept mode and Deployment for small- and large-scale data using CI/CD pipelines. Strong domain knowledge or the ability to learn the Optical Transport domain for effective feature engineering and Capable of leading a team and working in a fast-paced, iterative environment. Working on products including Photonic/WDM, Optical Transport, and SDH/SONET. Optics Network Management applications provide users with control over the network, including configuration (infrastructure, end-to-end services), fault supervision, and performance monitoring. Applications interface with various Network Elements, provide a user-friendly graphical interface, and implement algorithms and functions to facilitate network management and reduce OPEX. Optics Network applications are deployed worldwide in hundreds of installations, serving customers ranging from large enterprises to small businesses. Contributing to new developments and maintaining applications to enhance functionality and improve customer satisfaction.

As a Principal Technical Specialist, you will lead teams in technical discussions, architecture strategy, and system design for high-performance applications. You will collaborate with architects and developers to define workflows, interfaces, and domain models, leveraging SQL and NoSQL databases. Your role requires a hands-on approach, strong communication skills, and the ability to translate complex technical concepts into actionable insights. You have: Bachelors degree in Engineering with 12 to 15 years of relevant work experience. Experience with architectural patterns and programming languages such as Java, Python/Shell, and Golang. Familiarity with frameworks like Spring, Guice, or Micronaut, and libraries such as Pandas, Keras, Pytorch, Scipy, and Numpy. Experience with Kafka, Spark, and databases (SQLPostgres, Oracle; NoSQLElastic, Prometheus, Mongo, Cassandra, Redis, and Pinot). It would be nice if you also had: Experience in OLTP/real-time system management in enterprise software. Experience in both large-scale and small-scale development, with the ability to model domain-specific systems. Expertise in data engineering, statistical analytics, and AI/ML techniques (AI experience is a plus). Knowledge of NMS/EMS for the telecom domain, including Network Operational Lifecycle and Network Planning. Lead and Guide the team in technical discussions. Expertise in Java, Python/Shell, and frameworks like Spring, Kafka, and AI/ML libraries will drive innovation in telecom network management and real-time enterprise software. Analyze and decompose requirements. Work on long lead items and define architecture strategy for the application. Work with architects and developers in other applications and define interfaces and workflows. With a strong foundation in statistical analytics, data engineering and AI/ML. Communicate and present to internal and external audiences.

About Norwin technologies Norwin Technologies is part of Accscient Group which has 17 companies as part of the group, we are 20 years old US based IT Consulting and Services company that helps clients deliver technology and operational excellence specializing in IT Infrastructure. Norwin Technologies was founded in 2003. We are headquartered in Boston, and now operate with offices located in four countries (USA, India, Canada, and Mexico). Norwin has currently 700+ professionals working across these countries. In India we have offices in Bangalore, Hyderabad, Chennai and Pune and employees 150 technical professionals in India We work with some of the leading brands in the technology industry such as Dell Technologies, VMware, Ahead partnering with them to deliver IT infrastructure projects ranging from remote deployment, migrations, upgrade and operations of technologies both in Data Centres and Cloud. Why Norwin Technologies? We are a strategic partner to companies like Dell, VmWare, which means you will get opportunity to work on same projects as Dell or VmWare employees unlike at Indian services companies, the likes of Wipro, TCS, Infy etc. which work largely on support projects. So as a Norwin employee you get to upgrade your technical skills. We are very focused on developing the skills of our technical talent through training, certification, and mentorship. We are agile and fast paced organization we aim to grow to 3 times our existing headcount within next 12 months with a focus on employee development and well-being with provides an opportunity to grow in their careers. All of our employees have experience of working in large and leading MNC. We are also a Great Place to Work certified company. Job Title: Smart Python Programmer (2.5+ Years Experience) Location: 5 Days Office Employment Type: Full-Time About the Role: Were looking for smart, high-agency Python programmers with a solid understanding of modern AI tooling and programming workflows. This role isn't about checking boxes or having built a specific kind of AI pipeline it's about your ability to leverage the Python ecosystem and AI tools to build smart solutions faster and better . If you're someone who figures things out quickly, enjoys working with cutting-edge AI tooling, and is always finding smarter ways to code this is the place for you. What You’ll Work On: Building intelligent and scalable systems using Python and modern libraries Designing and integrating data ingestion pipelines for AI/ML workflows Parsing, chunking, embeddings, storage, retrieval (dense/hybrid search, etc.) Using and combining libraries and tools like: pandas, numpy, scipy, matplotlib, seaborn spacy, beautifulsoup, scikit-learn, keras, tensorflow, pytorch, etc. Applying prompt engineering frameworks such as COSTAR, CARE, RACE, RISE , etc. Working with AI coding accelerators: Replit, Cursor, Codeium, Copilot , and more Rapid prototyping and iterating on AI-enhanced software products What We’re Really Looking For: Smart coders who learn fast and ship faster People who leverage AI tools effectively to increase velocity Deep comfort with the Python ecosystem — you know what to use and when Curiosity and the drive to constantly improve your coding stack and speed Requirements: 2.5+ years of professional experience in Python programming Strong experience with data manipulation, ML libraries, and model integration Experience building or integrating data ingestion pipelines (text-centric focus is a plus) Solid grasp of prompt engineering concepts and frameworks Comfort using AI-enhanced development tools to optimize workflows Bonus Points: Exposure to vector databases and retrieval methods (e.g., FAISS, Pinecone) Experience with LLM applications and prompt-tuning Open-source contributions or cool personal projects Reference Links: www.norwintechnologies.com www.accscient.com Regards, Ipshita Saha Talent Acquisition Specialist Norwin Technologies IPSHITA SAHA | LinkedIn

About this role: Lead Software Engineer (AI) position having experience in classic and generative AI techniques, and responsible for design, implementation, and support of Python based applications to help fulfill our Research & Consulting Delivery strategy. What youll do: Deliver client engagements that use AI rapidly, on the order of a few weeks Stay on top of current tools, techniques, and frameworks to be able to use and advise clients on them Build proofs of concept rapidly, to learn and adapt to changing market needs Support building internal applications for use by associates to improve productivity What you’ll need: 6-8 years of experience in classic AI techniques and at least 1.5 years in generative AI techniques. Demonstrated ability to run short development cycles and solid grasp of building software in a collaborative team setting. Must have: Experience building applications for knowledge search and summarization, frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability. Experience with agentic AI frameworks, RAG, embedding models, vector DBs Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy is required. Experience deploying applications to cloud platforms such as Azure and AWS. Solid grasp of building software in a collaborative team setting - use of agile scrum and tools like Jira / GitHub. Nice to have: Experience in finetuning Language models. Familiarity with AWS Bedrock / Azure AI / Databricks Services. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience in MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostgreSQL). Who you are: Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders. Effective time management skills and ability to meet deadlines. Excellent communications skills interacting with technical and business audiences. Excellent organization, multitasking, and prioritization skills. Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends. Delivering project work on-time within budget with high quality. Demonstrated ability to run short development cycle.

Join a leading U.S.-based company as a Sr. Python Developer, where your expertise will drive cutting-edge solutions in technology. Leverage your Python skills to solve complex challenges, optimize processes, and contribute to impactful projects alongside global experts. If you have a passion for innovation and a proven track record in Python development, this role offers the perfect opportunity to elevate your career. Job Responsibilities Develop scalable and efficient Python applications. Analyze large datasets to extract business insights. Write clean, optimized code in Jupyter Notebooks or similar platforms. Collaborate with researchers and engineers on data-driven solutions. Maintain clear documentation for all code. Use datasets from Kaggle, the UN, and U.S. government sources for business insights. Job Requirements 3+ years of Python development experience. Bachelor’s/Master’s in Computer Science, Engineering, or related field. Strong Python skills with experience in Pandas, NumPy, SciPy, etc. Experience with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork skills in a remote setting. Perks Work with top industry experts worldwide. Fully remote flexibility. Competitive salary aligned with global standards. Be part of cutting-edge, high-impact projects. Selection Process Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Implement Web applications in Python/Django Understanding project requirement & converting into technical requirements Independently do the coding/development of complex modules Independent contributor, high quality software within the timelines Ensure high quality releases through appropriate QC and QA activities Participate in technical discussions / reviews Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications 1.5-3 years relevant experience in developing applications for financial services clients 1-3 years of experience implementing web application in Python/ Django Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models Good understanding of SDLC phases of application development Must be able to design and develop web applications using Open source technology (Python) Should have good understanding and exposure to unit testing.

Summary Position Summary CORE BUSINESS OPERATIONS The Core Business Operations (CBO) portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work product within due timelines in agile framework. On requirement basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Python developers can take on various job roles, such as back-end web developer, data scientist, automation engineer and machine learning engineer. The work you will do includes: Work on various software projects using Python as their primary programming language. Get involved in developing desktop applications, command-line tools, automation scripts, or backend services. Responsibilities include writing clean, efficient, and maintainable code, collaborating with other team members, and participating in the software development lifecycle. Build web applications using Python along with other technologies such as Django, Flask, or FastAPI to build dynamic websites and web applications. Work on back-end aspects of web development, implementing features, optimizing performance, and ensuring the security of web applications Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders Qualifications Skills / Project Experience: Must Have: 3 - 6 years of hands-on experience in writing scalable code in Python programming language with the knowledge of at least one Python web framework like Django, Flask, Fast APIs, etc. Experience in Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch Experience in database technologies such as SQL and NoSQL with ORM implementations. Experience in event-driven programming in Python Proficient understanding of code versioning tools such as Git, SVN, Bitbucket etc. Experience in any one of the cloud computing platforms like AWS, Azure or GCP Experience in Agile/SAFE Agile project development methodologies Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Proficiency in Python and machine learning libraries, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), knowledge of software engineering principles, understanding of cloud computing platforms and deployment pipelines, familiarity with DevOps practices Understanding of Understanding of Experience in Experience with Experience in Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with Python Location: The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300298

Summary Position Summary CORE BUSINESS OPERATIONS The Core Business Operations (CBO) portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work product within due timelines in agile framework. On requirement basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Python developers can take on various job roles, such as back-end web developer, data scientist, automation engineer and machine learning engineer. The work you will do includes: Work on various software projects using Python as their primary programming language. Get involved in developing desktop applications, command-line tools, automation scripts, or backend services. Responsibilities include writing clean, efficient, and maintainable code, collaborating with other team members, and participating in the software development lifecycle. Build web applications using Python along with other technologies such as Django, Flask, or FastAPI to build dynamic websites and web applications. Work on back-end aspects of web development, implementing features, optimizing performance, and ensuring the security of web applications Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders Qualifications Skills / Project Experience: Must Have: 3 - 6 years of hands-on experience in writing scalable code in Python programming language with the knowledge of at least one Python web framework like Django, Flask, Fast APIs, etc. Experience in Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch Experience in database technologies such as SQL and NoSQL with ORM implementations. Experience in event-driven programming in Python Proficient understanding of code versioning tools such as Git, SVN, Bitbucket etc. Experience in any one of the cloud computing platforms like AWS, Azure or GCP Experience in Agile/SAFE Agile project development methodologies Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Proficiency in Python and machine learning libraries, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), knowledge of software engineering principles, understanding of cloud computing platforms and deployment pipelines, familiarity with DevOps practices Understanding of Understanding of Experience in Experience with Experience in Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with Python Location: The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300298

Python Developer with Pyspark Hyderabad Role - Fulltime Availability to Join - Immediate Years of experience - 5+ Required skills and qualifications 5+ years of experience as a Python Developer with a strong portfolio of projects. Experience working in Pyspark is must Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills.

Senior Data Scientist (Deep Learning and Artificial Intelligence) Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

Roles & Responsibilities: • Be responsible for the development of the conceptual, logical, and physical data models • Work with application/solution teams to implement data strategies, build data flows and develop/execute logical and physical data models • Implement and maintain data analysis scripts using SQL and Python. • Develop and support reports and dashboards using Google Plx/Data Studio/Looker. • Monitor performance and implement necessary infrastructure optimizations. • Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality. • Demonstrate excellent collaboration, interpersonal communication and written skills with the ability to work in a team environment. Minimum Qualifications • Hands-on experience with design, development, and support of data pipelines • Strong SQL programming skills (Joins, sub queries, queries with analytical functions, stored procedures, functions etc.) • Hands-on experience using statistical methods for data analysis • Experience with data platform and visualization technologies such as Google PLX dashboards, Data Studio, Tableau, Pandas, Qlik Sense, Splunk, Humio, Grafana • Experience in Web Development like HTML, CSS, jQuery, Bootstrap • Experience in Machine Learning Packages like Scikit-Learn, NumPy, SciPy, Pandas, NLTK, BeautifulSoup, Matplotlib, Statsmodels. • Strong design and development skills with meticulous attention to detail. • Familiarity with Agile Software Development practices and working in an agile environment • Strong analytical, troubleshooting and organizational skills • Ability to analyse and troubleshoot complex issues, and proficiency in multitasking • Ability to navigate ambiguity is great • BS degree in Computer Science, Math, Statistics or equivalent academic credentials

Senior Data Scientist (Deep Learning and Artificial Intelligence) Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

Description Building and owning the development of custom models for reaction processes and building blocks in Carbon Clean’s CO2 capture processes, validating models using field and bench-scale data, and continuously improving models to improve predictions. Building and owning the development of thermodynamics (phase-equilibria) models, property models, degradation models, validating models using lab data, and continuously improving models to improve predictions. Evaluating different modeling platforms and developing new approaches to improve accuracy of model predictions. Supporting new idea generation, de-risking novel process concepts, and pilot/process-scale troubleshooting activities. Proactively preparing simulation plans in support of project goals and performing post-processing and data analysis using your knowledge of reaction engineering and thermodynamics. Preparing figures, reports, and presentations to document project results. Presenting these results regularly to internal and external stakeholders. To develop and maintain expertise in the company’s core technologies through reading literature and attending conferences and webinars. Requirements Ph.D. in Chemical Engineering or related discipline with relevant thesis work + minimum 2 years of relevant research experience in an industrial setting (3-4 years preferred). Demonstrated experience (3-4 years) with: Developing and applying multi-scale models of process units including reactive mass transfer unit operations, rotating packed beds, packed columns, scrubbing vessels, etc. Building, solving, and optimizing robust kinetic models which incorporate fundamental process chemistry. Software packages: Aspen Plus, gPROMS, AVEVA process modeler or similar. Programming languages: Python, MATLAB Using off-the-shelf optimizers to fit models to experimental data (example: HEEDS, SciPy, Pyomo). 3-4 years of experience with writing custom rate-based process blocks using Aspen Custom Modeler or gPROMS in an industrial R&D setting. Solid understanding of chemical engineering fundamentals, dimensionless groups, and development of heat transfer and mass transfer correlations from experiments. Established track-record of generating novel IP related to process research. Demonstrated experience with project leadership and technical mentoring in an industrial R&D setting. Willingness to work and collaborate with a global team in the UK and US time-zones. Excellent written and oral communication and problem-solving skills. Being self-motivated and self-reliant. Benefits 24 days holiday per year plus 10 gazette public holidays Everyone belongs at Carbon Clean We are passionate and committed to our people. Our aim is to build a diverse and inclusive movement: teams of forward-thinking people, with unique talents, skills, passions, and experiences. It’s talent that matters to us and we encourage everyone to join us, whatever your gender identity, race, ethnicity, sexual orientation, age, life experience, or background. So please come as you are – we can’t wait to meet you. We’d be thrilled if you tick off all our boxes yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!