494 Scipy Jobs - Page 5

We are seeking an experienced Core Python Developer for an immediate on-site opportunity in Hyderabad. This role involves working with cutting-edge technologies in AI/ML, cloud platforms, and Python-based frameworks, delivering scalable solutions for our client. About the Role This role involves working with cutting-edge technologies in AI/ML, cloud platforms, and Python-based frameworks, delivering scalable solutions for our client. Responsibilities Develop and maintain robust applications using Python frameworks (Django, Flask, or Pyramid). Design and implement data pipelines and workflows utilizing Numpy, Scipy, Pandas, Dask, and other advanced libraries. Work with NLP libraries (spaCy, NLTK) and machine learning frameworks (scikit-learn, PyTorch). Develop, test, and maintain RESTful APIs. Collaborate in an Agile development environment, following best coding and architectural practices. Integrate with SQL/NoSQL databases for optimal data management. Implement solutions on cloud platforms such as AWS, Google Cloud, or Azure. Use version control and collaborative workflows with Git. Build and optimize AI/ML pipelines, potentially using Langchain or similar tools. Required Skills Core Python Development, AI/ML technologies, Cloud platforms, Python frameworks, RESTful APIs, Agile development, SQL/NoSQL databases, Version control with Git. Preferred Skills Experience with NLP libraries, machine learning frameworks, and building AI/ML pipelines.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. In this role, you will utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. You will develop models and scorecards to aid business leaders in comprehending trends and market drivers, collaborating with operations teams to transform insights into user-friendly solutions, and managing tool access and monitoring usage. To excel in this role, you should have a Bachelor's degree or equivalent experience, exceptional English communication skills, a minimum of four years of experience in data modeling and analysis, proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools, project management experience, strong business acumen, and meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

Job Description GalaxEye is a Space-Tech startup at the forefront of innovation, we are pioneering the World's First Multi-Sensor Earth Observation Satellite and aiming to build a constellation of indigenous micro-satellites with advanced data fusion capabilities. Our upcoming satellite Mission Drishti slated for launch in 2025, will set a global benchmark as the “World's First Multi-Sensor Satellite” integrating both SAR (Synthetic Aperture Radar) & MSI (Multi-Spectral Imaging) sensors on a single platform. A member of the Image Processing team, you will research, design, implement, optimize and deploy image processing algorithms to evolve our AI ecosystem continuously. The usual day-to-day tasks include developing the optical processing pipeline for various platforms, implementing new image processing algorithms, calibration of the sensors, fine-tuning them on our data, reviewing performance metrics, integrating and optimising the algorithms to run efficiently in our platform while continuously iterating and improving based on real-world performance. Responsibilities Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data Design and implement algorithms to carry out image processing including filtering, alignment, segmentation, and feature extraction efficiently across multi-terabyte sized datasets Research and fine-tune the latest image processing algorithms on our dataset to run efficiently while optimising based on real-time performance Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices Image Processing Engineer to Develop CI/CD pipeline patterns and best practices Collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers Requirements Strong Foundation in Mathematical Statistics. Logical Thinking & Ability to Comprehend key facts. Background in basic image processing or basic signal processing will be preferred Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. Proficiency in Python and C++ Programming is a must. Preferred Experience in remote sensing or related fields. Ability to collaborate effectively across the team A detail-oriented team member who can consistently meet deadlines. Benefits Be a part of India’s leading space-tech satellite technology company. Work closely with new age leaders and gain hands-on experience in strategy and operations. Thrive in a collaborative and growth-oriented startup culture. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

The Computer Vision Engineer position in Pune, India requires an individual with 3+ years of experience who is passionate about joining a dynamic startup team. As a Computer Vision Engineer, your primary responsibility will be to conduct research, develop, maintain, and create scalable CV/ML technologies capable of analyzing video feeds of users engaging in online sessions while identifying anomalies. To qualify for this role, you should possess a BS/MS degree in Computer Science or have equivalent industry and/or research experience in areas such as Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficiency in C/C++ and Python, along with a strong background in a Linux environment is essential. Experience with tools like OpenCV, Numpy, SciPy, Sklearn, and GIT is also required. Desirable skills include expertise in image classification, segmentation, and autonomous feature learning, as well as a solid grasp of linear algebra, optimization, probability, and statistics. Additionally, knowledge of software architecture, API design, parallel programming, and Vision applications will be advantageous. Effective communication skills to convey technical information clearly to both technical and non-technical audiences are crucial for this role. The position is full-time and offers competitive compensation based on experience, including salary and benefits.,

We are looking for a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems. Your main responsibilities will include taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules that are ready for production. The ideal candidate is expected to possess critical thinking skills when it comes to trading logic, demonstrate precision in handling edge cases, and have the ability to write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be something you are comfortable with. Your responsibilities will involve designing and maintaining robust backtesting and live trading frameworks, developing modules for strategy building, simulation, and optimization, as well as integrating with real-time and historical market data sources such as APIs and databases. Utilizing libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation will be part of your daily tasks. Additionally, you will be applying statistical methods to validate strategies, optimizing code for low-latency execution and memory efficiency, and collaborating with traders and quants to implement and iterate on ideas. Managing codebases with best practices using Git, including unit testing and modular design, is also expected from you. The qualifications we are looking for include 3-4 years of Python development experience, particularly in data-intensive settings, a strong grasp of algorithms, data structures, and performance optimization, and hands-on experience with technical indicators, trading strategy design, and data visualization. Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib, as well as strong SQL skills and experience with structured and time-series data are essential. Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ would be advantageous. Experience in using version control systems like Git and collaborative development workflows is also required. Preferred experience for this role includes hands-on experience with trading platforms or algorithmic trading systems, familiarity with order management systems (OMS), execution logic, or market microstructure, prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes, and knowledge of machine learning or reinforcement learning in financial contexts is considered a bonus. This job opportunity is presented by Human Resource from Codeline Tech.,

Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required Qualifications, Capabilities, And Skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Description Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements. If you are excited by this charter, come join us! Basic Qualifications 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2923787

Lead Assistant Manager EXL/LAM/1412071 ServicesGurgaon Posted On 18 Jul 2025 End Date 01 Sep 2025 Required Experience 3 - 6 Years Basic Section Number Of Positions 1 Band B2 Band Name Lead Assistant Manager Cost Code D005940 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 800000.0000 - 1800000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics Common Organization Services LOB Analytics SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill PYTHON Minimum Qualification MCA Certification No data available Job Description EXL Decision Analytics EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 51,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia, and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Roles and Responsibilities for Python Developer Design and implement modular, production-ready Python components to replicate and enhance business logic used in underwriting and actuarial workflows Work with domain experts to translate analytical models and manual processes into scalable Python code, applying concepts of modularization, encapsulation, and object-oriented design Develop robust data processing and transformation pipelines using libraries like Pandas, NumPy, and SciPy Design synthetic test data and validation routines to ensure numerical accuracy and robustness across actuarial pricing scenarios Collaborate on API development using FastAPI and JSON schemas to expose core functionalities for integration into broader platforms Contribute to containerization and deployment workflows using Docker and Poetry for reproducible, maintainable environments Integrate and interface with data from Databases, Excel workbooks, and APIs — working closely with stakeholders to extract functional requirements from semi-structured sources Participate in MLOps and model deployment pipelines, ensuring code is version-controlled, testable, and well-documented Work collaboratively with other developers via Git and GitHub to manage feature branches, perform peer reviews, and deliver clean code Document code, APIs, and system design for technical and non-technical stakeholders to ensure transparency and maintainability Communicate regularly with business analysts, actuaries, and product owners to align on requirements, clarify assumptions, and deliver high-value solutions Candidate Profile: 3–6 years of professional experience as a Python developer, preferably in a data-intensive domain like insurance or finance Strong command of core Python concepts including OOPs, modularization, and encapsulation Hands-on experience with libraries including Pandas, NumPy, SciPy, JSON, FastAPI, OpenpyXL, and SASPy Experience in building and testing modular Python code; familiarity with synthetic test data generation Working knowledge of API development, documentation, and understanding of API contracts Experience using modern Python packaging and deployment tools like Poetry and Docker Familiarity with Git, GitHub workflows, and collaborative development practices Basic understanding of AWS services (e.g., S3, Lambda, ECS) and cloud-native application deployment Exposure to MLOps tools and concepts, including model deployment and versioning workflows Strong communication skills for working with cross-functional teams and presenting technical designs Experience working in Agile/Scrum teams Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred) What we offer: EXL Analytics offers an exciting, fast paced, and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants. You can expect to learn several aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth. Analytics requires different skill sets at various levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics set the stage for further growth and development in our company and beyond. "EOE/Minorities/Females/Vets/Disabilities" Workflow Workflow Type L&S-DA-Consulting

Job Title: Python Developer (Onsite – Noida/Gurgaon) Location: Noida / Gurgaon (Onsite – 5 Days a Week) Experience Required: 4 to 7 Years Background Verification: Mandatory after selection Job Overview: We are seeking highly motivated and experienced Python Developers to join our growing engineering team. This is a full-time, onsite position based in Noida or Gurgaon , with a focus on backend development, data processing, and API integration. You will be responsible for writing efficient code, working with data libraries, and collaborating with cross-functional teams to deliver scalable software solutions. Key Responsibilities: Design, develop, test, and maintain backend applications using Python Implement and optimize OOP concepts , data structures , and algorithms Work with libraries such as NumPy, Pandas, SciPy, and Scikit-learn Develop and manage RESTful APIs Integrate and maintain MySQL databases Use Git for version control and manage code repositories Work with Docker and implement CI/CD pipelines Collaborate with QA and DevOps teams to ensure reliable delivery Required Skills: Strong proficiency in Python Solid understanding of OOP concepts , data structures , and algorithms Experience with Python libraries : NumPy, Pandas, SciPy, Scikit-learn Familiarity with Git version control system Working knowledge of Docker and CI/CD tools Experience with MySQL and database design Excellent problem-solving and debugging skills Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹80,000.00 - ₹90,000.00 per month Schedule: Day shift Monday to Friday Experience: Python: 4 years (Required) Docker: 3 years (Required) CI/CD: 2 years (Required) Location: Gurgaon, Haryana (Required) Work Location: In person

Weavers Web Solutions Private Limited is looking for a highly skilled and experienced Python AI/ML Developer to join our growing team. You will be working on cutting-edge projects in AI, machine learning, and data analytics, helping us build intelligent systems that drive business success. The ideal candidate will have a strong background in Python programming, machine learning algorithms, data analysis, and model deployment. Key Responsibilities: Design, implement, and maintain scalable AI/ML models using Python. Collaborate with cross-functional teams to define project goals, data requirements, and deliverables. Develop machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize existing ML models for better performance, scalability, and efficiency. Stay updated with the latest trends in AI/ML technologies and apply them to real-world projects. Use libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and others to build models. Work with big data platforms and tools like Hadoop, Spark, and cloud-based services. Document solutions, processes, and best practices for team collaboration and knowledge sharing. Conduct data analysis, visualization, and reporting for business insights. Ensure model reproducibility and track experiment results using version control systems like Git. Provide technical leadership and mentoring to junior developers on AI/ML best practices. Required Skills and Qualifications: Experience: Minimum of 4 years of professional experience as an AI/ML Developer or Data Scientist. Programming Skills: Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch. Machine Learning Algorithms: In-depth understanding of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning, etc. Model Development: Experience in building and deploying AI/ML models in production environments. Data Handling: Solid understanding of data preprocessing, feature extraction, and data normalization. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Version Control: Proficiency with Git or similar version control systems. Problem Solving: Strong analytical and problem-solving skills with a passion for working with large datasets. Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Job Title: Python Developer (Onsite – Noida/Gurgaon) Location: Noida / Gurgaon (Onsite – 5 Days a Week) Experience Required: 4 to 7 Years Background Verification: Mandatory after selection Job Overview: We are seeking highly motivated and experienced Python Developers to join our growing engineering team. This is a full-time, onsite position based in Noida or Gurgaon , with a focus on backend development, data processing, and API integration. You will be responsible for writing efficient code, working with data libraries, and collaborating with cross-functional teams to deliver scalable software solutions. Key Responsibilities: Design, develop, test, and maintain backend applications using Python Implement and optimize OOP concepts , data structures , and algorithms Work with libraries such as NumPy, Pandas, SciPy, and Scikit-learn Develop and manage RESTful APIs Integrate and maintain MySQL databases Use Git for version control and manage code repositories Work with Docker and implement CI/CD pipelines Collaborate with QA and DevOps teams to ensure reliable delivery Required Skills: Strong proficiency in Python Solid understanding of OOP concepts , data structures , and algorithms Experience with Python libraries : NumPy, Pandas, SciPy, Scikit-learn Familiarity with Git version control system Working knowledge of Docker and CI/CD tools Experience with MySQL and database design Excellent problem-solving and debugging skills Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹80,000.00 - ₹90,000.00 per month Schedule: Day shift Monday to Friday Experience: Python: 4 years (Required) Docker: 3 years (Required) CI/CD: 2 years (Required) Location: Gurgaon, Haryana (Required) Work Location: In person

Job Title: Python Developer Experience Required: 4 to 7 Years Location: Noida / Gurgaon (Onsite – 5 Days a Week) Employment Type: Full-Time Position Summary: We are seeking an experienced and results-driven Python Developer to join our technology team. The ideal candidate will have a strong foundation in Python programming, object-oriented design, data structures, and algorithms. This role requires hands-on experience with data science libraries, modern development tools, and containerization workflows. The position is onsite , requiring physical presence at our Noida or Gurgaon office five days a week . Key Responsibilities: Design, develop, and maintain high-performance, scalable Python-based applications. Apply object-oriented programming and algorithmic thinking to solve complex problems. Develop data processing and analytical workflows using libraries such as NumPy , Pandas , SciPy , and Scikit-learn . Collaborate with DevOps teams to integrate applications into CI/CD pipelines and containerize solutions using Docker . Manage version control using Git , ensuring clean and efficient codebase management. Design and optimize relational databases, particularly MySQL , for performance and reliability. Work closely with cross-functional teams to gather requirements and deliver high-quality solutions within deadlines. Required Skills: SkillProficiency Required Python Programming Advanced Object-Oriented Programming (OOP) Strong understanding Data Structures & Algorithms Proficient NumPy, Pandas, SciPy, Scikit-learn Hands-on experience Git Proficient Docker, CI/CD Working experience MySQL Solid experience in database design and queries Candidate Attributes: Excellent problem-solving and analytical abilities. Strong verbal and written communication skills. Ability to work independently in a fast-paced, collaborative environment. Detail-oriented with a commitment to code quality and documentation.

About Us Planful is the pioneer of financial performance management cloud software. The Planful platform, which helps businesses drive peak financial performance, is used around the globe to streamline business-wide planning, budgeting, consolidations, reporting, and analytics. Planful empowers finance, accounting, and business users to plan confidently, close faster, and report accurately. More than 1,500 customers, including Bose, Boston Red Sox, Five Guys, Grafton Plc, Gousto, Specialized and Zappos rely on Planful to accelerate cycle times, increase productivity, and improve accuracy. Planful is a private company backed by Vector Capital, a leading global private equity firm. Learn more at planful.com. About The Role We are looking for self-driven, self-motivated, and passionate technical experts who would love to join us in solving the hardest problems in the EPM space. If you are capable of diving deep into our tech stack to glean through memory allocations, floating point calculations, and data indexing (in addition to many others), come join us. Requirements 5+ years in a mid-level Python Engineer role, preferably in analytics or fintech. Expert in Python (Flask, Django, pandas, NumPy, SciPy, scikit-learn) with hands-on performance tuning. Familiarity with AI-assisted development tools and IDEs (Cursor, Windsurf) and modern editor integrations (VS Code + Cline). Exposure to libraries supporting time-series forecasting. Proficient in SQL for complex queries on large datasets. Excellent analytical thinking, problem-solving, and communication skills. Nice To Have Shape financial time-series data: outlier detection/handling, missing-value imputation, techniques for small/limited datasets. Profile & optimize Python code (vectorization, multiprocessing, cProfile). Monitor model performance and iterate to improve accuracy. Collaborate with data scientists and stakeholders to integrate solutions. Why Planful Planful Exists To Enrich The World By Helping Our Customers And Our People Achieve Peak Performance. To Foster The Best In Class Work We’re So Proud Of, We’ve Created a Best In Class Culture, Including 2 Volunteer days, Birthday PTO, and quarterly company Wellness Days 3 months supply of diapers and meal deliveries for the first month of your Maternity/Paternity leave Annual Planful Palooza, our in-person, company-wide culture Company-wide Mentorship program with Executive sponsorship of CFO and Manager-specific monthly training programs Employee Resource Groups such as Women of Planful, LatinX at Planful, Parents of Planful, and many We encourage our teammates to bring their authentic selves to the team, and have full support in creating new ERGs & communities along the way.

Company Description We suggest you enter details here Role Description This is a full-time role for an AI/ML Developer, to be filled immediately. Located on-site in Chennai, the AI/ML Developer will be responsible for developing and deploying machine learning models, designing and implementing AI algorithms, and collaborating with team members to integrate AI solutions into various projects. The role involves working on data preprocessing, feature engineering, and model evaluation to ensure optimal performance. Qualifications Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in programming languages like Python, R, or Java Strong understanding of data structures and algorithms Developmemt of AI and ML concepts, including LLM, fien turning , supervised and unsupervised learning, reinforcement learning, and neural networks Experience with data preprocessing, feature engineering, and model evaluation techniques Excellent problem-solving skills and ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Engineering, or related field 2-4 years of experience in AI/ML development roles Familiarity with tools and libraries such as NumPy, SciPy, pandas, scikit-learn, or Matplotlib

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

Digital Analyst – 2 Roles with Band B2/C1. Requirements : SQL, Python, Statistics, A/B testing, Advanced Excel, Good Problem solving skills, good communication skills Job Summary We are seeking a results-driven Analytics Manager with a strong foundation in SQL, Python, and Statistics to lead data-driven decision-making across teams. You will design and oversee A/B testing initiatives, build data pipelines, and extract actionable insights to influence business strategy. This role also requires advanced Excel proficiency, excellent communication skills, and strong problem-solving capabilities to manage cross-functional stakeholders and deliver impactful analytical solutions. Key Responsibilities Lead a team of analysts or data scientists to deliver high-impact business insights. Design and manage controlled experiments (A/B tests) to guide product and marketing decisions. Write efficient, scalable SQL queries to extract data from large, complex databases. Use Python (Pandas, NumPy, SciPy, scikit-learn, etc.) to perform advanced statistical modeling and data analysis. Analyze large datasets to identify trends, forecast outcomes, and generate business recommendations. Collaborate with stakeholders to translate business needs into technical requirements and analytics roadmaps. Present findings clearly to technical and non-technical audiences using dashboards, reports, and presentations. Use Advanced Excel for quick-turn analysis, reporting automation, and what-if modeling. Develop and maintain KPIs and dashboards to monitor business performance. Mentor junior team members and help shape the analytics culture within the organization. Required Skills and Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5–8 years of relevant experience in analytics, data science, or business intelligence. Strong command of SQL and experience working with relational databases. Proficiency in Python for data analysis and modeling. Solid foundation in Statistics (regression, hypothesis testing, confidence intervals, etc.). Hands-on experience designing and interpreting A/B and multivariate tests. Proficiency in Advanced Excel (e.g., pivot tables, Power Query, VBA/macros, complex formulas). Excellent problem-solving skills with a strategic and analytical mindset. Strong communication skills, with experience presenting to executives or cross-functional teams. Preferred Qualifications: Experience working with BI tools (e.g., Tableau, Power BI, Looker). Familiarity with cloud platforms (e.g., AWS, GCP, or Azure). Exposure to Agile development and data product management.

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Description The Position We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Engineering team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet. We are seeking a skilled and passionate Senior Software Engineer with expertise in Python and React to join our development team. As a Senior Fullstack Developer, you will be a crucial member of our development team, responsible for leading and driving the development of complex, scalable, and high-performance Python-based applications. One of your main focus will be on developing and supporting efficient, reusable and highly scalable APIs & components to deliver a compelling experience to users across platforms. You will collaborate with cross-functional teams, mentor junior developers, and coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important. You will take part in the planning and strategy to come up with the solutions with full ownership. You will own the development and its quality independently and be responsible for high quality deliverables. And you will work with a great team with excellent benefits. Responsibilities & Skills You should: Be excited to work with talented, committed people in a fast-paced environment. Use a data-driven approach and actively work on product & technology roadmap at strategy level and day-to-day tactical level. Be designing, building, and maintaining high performance responsive Web Applications and dashboards with reusable, and reliable code. Use a rigorous approach for product improvement and customer satisfaction. Love developing great software as a seasoned product engineer. Be ready, able, and willing to jump onto a call with a partner or customer to help solve problems. Be able to deliver against several initiatives simultaneously. Have a strong eye for detail and quality of code. Have an agile mindset. Have strong problem-solving skills and attention to detail. Ability to understand business requirements and translate them into technical requirements Ability to deliver against several initiatives simultaneously as a multiplier. Required Skills (Python) You are an experienced developer – a minimum of 7+ years of professional experience. Python experience, preferably both 2.7 and 3.x Strong Python knowledge - familiar with OOPs, data structures and algorithms Work experience & strong proficiency in Python and its associated frameworks (like Flask, FastAPI etc.). Experience in designing and implementing scalable microservice architecture Familiarity with RESTful APIs and integration of third-party APIs. 3+ years building and managing APIs to industry-accepted RESTful standards Demonstrable experience with writing unit and functional tests Application of industry security best practices to application and system development Experience with database systems such as PostgreSQL, MySQL, or MongoDB. Required Skills (React) React experience, preferably React 15 or higher, 2+ years. Thorough understanding of React.js and its core principles Familiarity with newer specifications of ECMAScript Experience with popular React.js workflows (such as Flux or Redux) Experience with modern front-end build pipelines and tools such as Babel, Webpack, NPM, etc. A knack for benchmarking and optimization Demonstrable experience with writing unit and functional tests Required The following experiences are not required, but you'll stand out from other applicants if you have any of the following, in our order of importance: Experience with cloud infrastructure like AWS/GCP or other cloud service provider experience Serverless architecture, preferably AWS Lambda Experience with PySpark, Pandas, Scipy, Numpy libraries is a plus Experience in microservices architecture Solid CI/CD experience You are a Git guru and revel in collaborative workflows You work on the command line confidently and are familiar with all the goodies that the linux toolkit can provide Knowledge of modern authorization mechanisms, such as JSON Web Token Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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

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

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary What will you do Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities Key Responsibilities What will you work with Hands-on Experience of 2-4 Years in Statistical tools – R-studio, python Mavenir’s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Must have hands on expreience in Linux/Unix OS(Mandatory) Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already /have - Machine learning and Linux This position is based out from Gurugram location Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary What will you do Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities Key Responsibilities What will you work with Hands-on Experience of 2-4 Years in Statistical tools – R-studio, python Mavenir’s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Must have hands on expreience in Linux/Unix OS(Mandatory) Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already /have - Machine learning and Linux This position is based out from Gurugram location Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 3-7 years Shift Timin gs: 11AM-8PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 3 to 7 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

We are seeking a skilled and motivated Algorithm Developer with a strong foundation in Python and Geometry to join our team. The ideal candidate will have hands-on experience in shape detection using Point Cloud or Mesh data and a passion for solving complex geometric problems. This role involves developing robust algorithms for geometry extraction, contributing to innovative solutions in the AEC (Architecture, Engineering, and Construction) domain. Key Responsibilities: 2+ years of experience Design, develop, and optimize algorithms for geometry extraction from Point Cloud or Mesh data. Implement shape detection techniques using Python and relevant libraries. Collaborate with cross-functional teams to integrate algorithms into production systems. Analyze and process large-scale 3D data sets for feature extraction and classification. Maintain and enhance existing codebases using Git for version control. Work with JSON data structures for input/output and configuration handling. Contribute to documentation, testing, and performance tuning of algorithms. Primary Skills: Strong proficiency in Python with a focus on geometric computations. Solid understanding of 3D geometry, spatial data structures, and computational geometry. Experience with Point Cloud or Mesh processing and shape detection techniques. Familiarity with libraries such as Open3D, PCL, NumPy, SciPy, or similar. Secondary Skills (Good to Have): Working knowledge of C++ and/or C# for performance-critical components. Experience in the AEC domain and understanding of industry-specific data formats. Proficiency with Git for version control and collaborative development. Ability to parse and manipulate JSON files for configuration and data exchange. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field. Strong problem-solving skills and the ability to work independently or in a team. Excellent communication and documentation abilities.