About the role As a SDET Data Test Automation Engineer, you will make an impact by ensuring the integrity of data transformations on our data platform which works with large datasets and to enhance our testing capabilities with UI and API automation. You will be a valued member of the AI Analytics group and work collaboratively with development and product teams to deliver robust scalable and high-performing data test tools. In this role, you will: Design develop and maintain automated test scripts for data validation transformation API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark & Pytest Analyze test results identify issues and work on resolutions Ensure that automated tests are integrated into the CICD pipeline Work on data transformation processes including validating rule-based column replacements and exception handling Collaborate with development and product teams to identify test requirements and strategies UI and API test automation using Playwright and Requests Validate large datasets to ensure data integrity and performance Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or respective location in Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you must have to be considered Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark & Pytest Hands on experience with AWS services like S3 Lambda Familiarity with SQL for data transformation tasks These will help you stand out Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills & strong communication and teamwork abilities Familiarity with CICD pipelines and tools like Jenkins, Docker & Kubernetes Good to have experience with databases like Trino iceberg, Snowflake and Postgres Good to have experience on Polars Fugue Experience with cloud tools like Kubernetes EKS, AWS Glue & ECS Certification : AWS, Python We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Job Title: Python Architect (Hands-On) Location: Remote Role Experience: 12+ Years Employment Type: Full-Time Role Overview We are looking for a seasoned Python Architect who brings both deep architectural expertise and hands-on coding experience . This role is ideal for someone who has designed and implemented large-scale systems in Python and enjoys staying technically involved in the development process. You will play a key role in system architecture, technology decisions, and high-quality code delivery in a fast-paced environment. Key Responsibilities System Architecture & Design: Architect scalable, secure, and high-performance systems using Python and related technologies. Create detailed architectural blueprints and component designs aligned with business requirements. Hands-On Development: Contribute actively to daily coding, debugging, and implementation of APIs, services, and backend logic. Technical Leadership: Lead and mentor a team of developers, conduct code reviews, and enforce engineering best practices. Data Engineering & Optimization: Design efficient data pipelines and workflows using Pandas , SQL , and BigQuery or similar technologies. API & Web Services: Build RESTful APIs using Flask or similar frameworks with a strong focus on performance, security, and maintainability. Database Design & Optimization: Develop robust schemas, optimize queries, and ensure high data availability and reliability. Quality & DevOps: Define and enforce code quality standards, implement automated tests (unit, integration), and support CI/CD processes. Cross-Team Collaboration: Work closely with product, data, and DevOps teams to translate technical vision into delivery. Must-Have Qualifications 12+ years of overall software development experience with at least 5+ years in Python. Proven track record of designing and architecting complex systems at scale. Strong hands-on expertise in: Python , including deep knowledge of internals, performance optimization, and design patterns Flask , Pandas , and SQL REST API development Database architecture (e.g., PostgreSQL, Oracle, MongoDB) Experience with modern development practices: unit testing, CI/CD, code reviews. Familiarity with Agile/Scrum methodologies. Good to Have Experience with Angular (for collaboration with frontend teams). Familiarity with Google Cloud Platform (BigQuery, Cloud Functions, etc.). Exposure to event-driven and microservices architectures. Knowledge of infrastructure-as-code (e.g., Terraform). Background in data science or machine learning pipelines . Who You Are A tech leader who thrives in hands-on environments and balances vision with execution. Someone who enjoys solving large-scale engineering problems. A clear communicator who collaborates well across engineering, product, and business teams.

Senior Data Scientist India - Pune At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems How will you make an impact? Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges Have you got what it takes? Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7409 Reporting into: Tech Manager Role Type: Individual Contributor

Basic qualification: Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 0-1 year of experience in ML/AI (internship, academic project, or freelance experience acceptable). Exposure to cloud services (AWS, Azure, or GCP). Familiarity with ML experiment tracking (e.g., MLflow, Weights & Biases). Basic knowledge of model deployment frameworks (Flask, FastAPI, Streamlit). Experience with Git/GitHub and Agile tools (e.g., Jira, Trello). Technical Skills: Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Basic understanding of machine learning concepts (e.g., classification, regression, neural networks). Exposure to generative AI models such as GPT, GANs, VAEs, or diffusion models. Familiarity with tools such as Hugging Face Transformers, OpenAI APIs, or LangChain. Experience with data formats like CSV, JSON, and basic SQL knowledge. Understanding of REST APIs and basic model integration. Soft Skills: Strong communication and collaboration abilities. Eagerness to learn and work in a fast-paced environment. Strong problem-solving and analytical thinking. Attention to detail and documentation practices. Roles and Responsibilities: Assist in designing, developing, and deploying machine learning models for structured and unstructured data. Fine-tune and evaluate generative AI models such as GPT, Gemini, LLAMA, etc. Perform data collection, cleaning, transformation, and feature engineering. Contribute to prompt engineering, embeddings, and optimization of generative pipelines. Support the integration of AI models into production systems or APIs. Write clean, testable, and efficient Python code using ML/AI libraries. Track and evaluate model performance using appropriate metrics and tools. Collaborate closely with cross-functional teams (engineering, data, product). Document workflows, model experiments, and pipeline processes. Stay current with the latest trends and research in machine learning and generative AI.

Roles and responsibilities - Design, develop, and maintain scalable Python applications and APIs using Flask and FastAPI Work with PySpark and Kafka for real-time data processing Perform data manipulation and analysis using Pandas and NumPy Develop and maintain modular, reusable, and testable code following OOP principles Collaborate with data scientists to integrate ML models (TensorFlow, PyTorch, Scikit-learn) into production Participate in code reviews, design discussions, and contribute to best practices Write and maintain documentation for developed modules and workflows Preferred Candidate - Strong proficiency in Python programming Hands-on experience with Flask and/or FastAPI Experience working with PySpark and Kafka Solid understanding of Pandas, NumPy, and data handling in Python Familiarity with TensorFlow, PyTorch, and scikit-learn Good grasp of Object-Oriented Programming (OOP) concepts Ability to write modular and maintainable code

Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices — including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

Responsibilities: Classroom Training Delivery (Mandatory): Conduct dynamic and interactive full-time, offline classroom training sessions for Full Stack Python. Explain complex Python concepts, web development principles, and framework functionalities in a clear, concise, and easy-to-understand manner. Facilitate hands-on coding exercises, practical labs, and real-world project implementations during sessions. Ensure a highly engaging and supportive learning environment for all students. Core and Advanced Python Expertise: Deliver in-depth training on Python fundamentals, including data types, control flow, functions, modules, and object-oriented programming (OOPs) concepts. Cover advanced Python topics such as decorators, generators, iterators, context managers, multi-threading, and error handling. Teach relevant Python libraries like NumPy and Pandas for data manipulation (if part of the curriculum). Django Framework Mastery: Provide comprehensive training on the Django web framework, covering: Django project setup and architecture. Models, Views, Templates (MVT) design pattern. Django ORM and database interactions (e.g., with MySQL, PostgreSQL). Form handling, validation, and user authentication. Working with Django REST Framework for API development. Deployment strategies for Django applications. Full Stack Integration: Integrate front-end technologies (HTML, CSS, JavaScript, Bootstrap) within the Full Stack Python curriculum, demonstrating how they interact with the Django backend. Guide students through the process of building complete, end-to-end web applications. Mentoring & Doubt Clarification: Provide one-on-one and group mentoring to students, addressing their doubts and technical challenges effectively. Assess student progress, provide constructive feedback, and guide them in completing assignments and projects. Curriculum Adherence & Enhancement: Adhere strictly to Naresh IT's Full Stack Python curriculum while bringing real-world insights and best practices into the training.

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview: We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities • Analyze time-series and sensor data from various sources • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. • Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. • Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). • Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. • Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills • Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. • 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. • Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). • Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). • Proficiency in Python or R for data manipulation and exploratory analysis. • Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). • Solid grasp of statistical analysis and anomaly detection methods. • Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills • Domain experience in airports, smart infrastructure, transportation, or logistics. • Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). • Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. • Basic understanding of AI/ML workflows and data preparation requirements.

Skills: 3-8 of experience with Python for data analysis and modeling. Strong understanding of machine learning fundamentals , including supervised and unsupervised techniques. Hands-on experience with ML libraries such as scikit-learn , pandas , and NumPy . Comfortable working with real-world datasets, data cleaning, and preprocessing. Curious, analytical mindset with a passion for solving research and data challenges. Ability to break down problems, explore data patterns, and assist in delivering model-driven solutions. Exposure to working with unstructured or semi-structured data (text, PDFs, etc.) is a plus. Exposure to cloud platforms (AWS, GCP, Azure). Familiarity or experience with GenAI tools such as LangChain , LangGraph , or CrewAI . Understanding or hands-on experience with LLM-based projects .

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Senior Software Architect About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. About PDC Applied Materials SW & AI Group leads the development of image processing systems, which are integrated in a wide range of products. These highly distributed systems capture the images from high-speed scanning systems and perform complex image processing algorithms to detect defects on memories and processors chips. Role Description As a Senior Software Architect, you will be responsible for designing and implementing complex software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural designs that meet business needs. Your primary focus will be on ensuring that the software systems are scalable, reliable, and maintainable. Key Responsibilities Architect and design software solutions that align with business goals and technical requirements. Collaborate with cross-functional teams to understand business needs and translate them into architectural designs. Develop and maintain architectural guidelines, standards, and best practices. Conduct technical reviews and provide guidance to software engineers during the development process. Identify and mitigate technical risks and issues throughout the software development lifecycle. Evaluate and recommend appropriate technologies and frameworks to meet project requirements. Lead the design and implementation of complex software components and systems. Ensure that software systems are scalable, reliable, and maintainable. Mentor and coach junior software architects and engineers. 12-15 yrs. of experience with B. Tech / MTech /Ph. d in Electronics / Computer Science Proven experience as a Software Architect or similar role with experience of 10+ yrs. in product development Strong fundamentals and hands-on experience in C++/C programming. Good Knowledge of python programming and libraries (Ex; NumPy, OpenCV, pandas etc.) Practical Experience with GPU/CPU Optimization techniques like Overclocking/Memory Optimization/Load. Balancing/Hyperthreading/Simultaneous multithreading (SMT). Excellent problem-solving skills and ability to work independently and as part of a team. Advantage Knowledge on Semiconductor domain. Knowledge of digital signal processing (DSP)/Deep learning is a plus. Experience with computing design and benchmarking is a plus. Experience leading small teams or projects. Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Job Specification Work on the development, implementation, and maintenance of our applications Develops unit tests to support production code using test-driven development techniques Work with internal end users to understand and respond to their needs Troubleshoot technical issues reported by end users and team members Participates as a team member on medium/large projects Identifies and solves problems/incidents in production Proactivity and a focus on continuous improvement Participate in performing functional and technical analysis Continuous learning around the banking, finance and funds industry Skills Required Bachelor or equivalent degree in Computer Sciences (5+ years of work experience) Comfortable with Agile/DevOps methodology and with Git source control Good experience with Python/Django, HTML, CSS, JavaScript/jQuery & SQL Experience with AlpineJS, HTMX and Tailwind CSS are considered an advantage Experience building back-end APIs, preferably with Django REST Framework Experience with data integration automation like Pandas and ETL processes Azure API Gateway, Oracle DB and PostgreSQL experience is an advantage Great attention to detail and the passion to drive projects forward Able to produce technical documentation Excellent time management and decision-making skills Team player, open communicator and fluent in English Exposure to the funds industry DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

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

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Job Title: Python Full Stack Developer Location: Velachery, Chennai (Global Healthcare Billing Partners Pvt. Ltd.) About Role: We are currently looking for a talented and motivated Python Developer with 2+ years of experience to join our dynamic team. The ideal candidate will have strong skills in Python development and a passion for working on innovative projects in the healthcare billing industry. Role and Responsibilities: Develop and maintain Python-based applications and solutions for various projects, with a focus on automation, data manipulation, and web development. Design and implement scalable and efficient software solutions. Work on data integration, automation scripts, and API development. Contribute to machine learning models and analytics to enhance decision-making processes. Collaborate with cross-functional teams to understand project requirements and provide technical solutions. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, IT, or a related field. 2+ years of hands-on experience in Python development. Strong understanding and experience in web development using Python frameworks (Django, Flask, etc.). Experience in automation tools and scripting for data extraction, transformation, and loading (ETL). Proficiency in data manipulation and working with databases (SQL, NoSQL). Knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, etc.). Good understanding of software engineering principles and design patterns. Interested candidates can share your Resume/CV to this WhatsApp Number 8925808592 Regards, Harini S HR Department

Job Description The Automation Tester will be responsible for design and develop test Frameworks and automate tests using Cypress. Develop automated tests to test Web Services and REST APIs. Work closely with Scrum team members to clarify requirements, ensure testability and ability to automate, to provide feedback on design, both functional and technical. Innovate on latest tools and processes to improve QA functional manual and Automation testing, document best practices and mentor junior team members. Identify test cases from Acceptance Criteria for the User Stories, estimate work and participate in design reviews. Work on frameworks to ensure continuous deployment and continuous integration. Develop new proofs-of-concepts for QA Automation, ensuring continual improvements. Qualifications and Skills: 7+ years of overall experience in QA, with a focus on Test Automation for at least 4 years. Strong expertise in Cypress for automating complex web applications. Experience in using Cypress with Cucumber for Behavior-Driven Development (BDD) Proficiency in Python, SQL, NumPy, and Pandas for comprehensive data validations. Experience in BDD with Cucumber. Proficient in testing REST APIs using Cypress. Experience with JavaScript, especially in the context of using Cypress for automation. Proficient in Git for version control. Working knowledge of CI, CD & CT implementation using GitHub Actions. Skills in test integrations, defect management, and test management using Azure DevOps/VSTS. Excellent verbal and written communication skills. Self-driven, results-oriented, motivated, and a collaborative team player.

Company Description Quantanite is a specialist business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity. The company is headquartered in London, with delivery centers in Dhaka (Bangladesh), Johannesburg (South Africa) and Thane (India). The current positions are for our Thane, India delivery center. Job Description We are seeking a Python Full Stack developer to be an extension to our team and play a critical role in implementation of several solutions in the form of products, or tools & utilities. The ideal candidate will have a strong experience of end-to-end development of small-scale products & utilities independently. As a Full Stack developer, you will be responsible for front-end and back-end development using various technology and frameworks, working closely with the operations team as well as business analyst, project management and our technology partners. Key Responsibilities Develop, test, and maintain Al apps and machine learning models using Python. Create and maintain Al bots based on custom/ application APls. Implement data manipulation and analysis using libraries such as NumPy and Pandas Troubleshoot and debug Al applications and fine tune models. Participate in code reviews to ensure code quality and share knowledge with the team Stay updated with the latest advancements in Al and machine learning technologies. Ensure that solutions are scalable, maintainable, and meet the best practices for security, performance and data management Stay current with emerging technologies and trends in process automation and make Python Full Stack Developer recommendations for incorporating them into client solutions Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project lifecycle Continuously research emerging technologies and determine credible solution Positively and constructively engage with clients and operations teams where required. Qualifications Experience in Azure. Proficiency in Python as the primary programming language. • Building LLM powered applications in a production environment. Knowledge of Python backend frameworks like Django or Flask, FastAPl etc. Knowledge of LLM internals and good knowledge of LLM ecosystem both private (Open Al, Gemini, Anthropic etc) and open source. Experience with version control systems like Git/ Github, Devops knowledge. Strong experience with NumPy and Pandas libraries for data manipulation and analysis. Solid understanding of machine learning principles and algorithms Preferred candidate profile Experience with Langchain. Knowledge of ReactJS(with Next & TypeScipt) Azure(deployment on webapps, Functions) Familiarity with Hugging Face Transformers for natural language processing. Experience in BPO Outsourcing/ IT outsourcing Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent work experience. 3-5 years of experience in Al, machine learning, and Python development. Proven ability to work independently and as part of a team.

locationsMumbai - Hiranandaniposted onPosted 10 Days Ago time left to applyEnd DateJune 3, 2025 (3 days left to apply) job requisition idR_308144 Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out Masters degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSEMMC), is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Role Summary: We are seeking a highly analytical and results-oriented Manager, S&OP to join our dynamic team. In the fast-paced world of cloud kitchens, this role is critical for balancing the twin goals of maximizing item availability for our customers and minimizing food wastage across our network. You will be responsible for developing and managing accurate demand forecasts across all product categories, leveraging deep analysis of sales mix and consumption trends. This role requires strong proficiency in Excel, SQL, and Python to handle complex datasets and drive data-driven decision-making within our S&OP process. You will collaborate closely with Pod Operations, Growth, and Marketing teams to ensure our planning aligns with operational realities and commercial strategies. Key Responsibilities: 1. Demand Planning & Forecasting: Develop, maintain, and refine short-to-medium term demand forecasts for all product categories at relevant granularities (e.g., item, pod/zone, city). Utilize statistical methods, historical data analysis (via SQL, Python, Excel), and incorporate market intelligence to generate baseline forecasts. Analyze and model the impact of promotions, marketing campaigns, local events, seasonality, and menu changes on demand. Monitor forecast accuracy and bias KPIs, identifying root causes for variances and implementing corrective actions to continuously improve forecast quality. Prepare and lead demand review discussions within the S&OP cycle, presenting forecasts, assumptions, risks, and opportunities. 2. Sales Mix & Consumption Trend Analysis: Perform in-depth analysis of sales data using SQL and Python to understand mix shifts, attachment rates, and cannibalization effects. Analyze consumption patterns (e.g., order times, platform trends, customer behaviour) to identify key demand drivers and potential shifts. Connect sales and consumption trends directly to their impact on item availability and wastage metrics. Provide actionable insights to Marketing, Growth, and Culinary teams regarding product performance and portfolio optimization opportunities. 3. S&OP Process Contribution & KPI Management: Play a key role in the monthly and weekly S&OP cycle, ensuring timely inputs and effective collaboration. Continuously monitor, analyze, and report on key performance indicators: Item Availability and Wastage %. Develop insights and drive actions aimed at optimizing the trade-off between availability and wastage through improved forecasting and cross-functional alignment. Contribute to the ongoing improvement and maturity of the S&OP process within the organization. 4. Cross-Functional Collaboration: Partner closely with Pod Operations teams to gather localized insights, understand operational constraints, and ensure effective execution of plans. Collaborate with Growth & Marketing teams to align demand forecasts with promotional calendars, new product development (NPD), and market expansion plans. Engage with Finance and Procurement teams as needed for financial planning and supply feasibility inputs. 5. Data Analysis & Tool Usage: Leverage Advanced Excel, SQL, and Python for data extraction, manipulation, analysis, modeling, and reporting. Develop and maintain dashboards and reports to track performance and communicate insights effectively. Qualifications & Skills: Education: Bachelor's degree in Engineering (B.Tech) + MBA (supply chain specialization) Experience: 2 - 4 years of relevant experience in Demand Planning, S&OP, Supply Chain Management, or Business Analytics. Proven experience working in a fast-paced environment such as QSR (Quick Service Restaurants), E-commerce, Food Delivery, FMCG (with short shelf-life products), or Retail is highly preferred. Technical Skills: Required: Advanced proficiency in Microsoft Excel (complex formulas, pivot tables, modeling). Required: Strong proficiency in SQL for querying and data manipulation. Required: Proficiency in Python for data analysis and potentially forecasting model development (e.g., using libraries like Pandas, NumPy, Scikit-learn). Analytical & Problem-Solving Skills: Exceptional quantitative and analytical skills with the ability to work through complex problems, manipulate large datasets, and derive actionable insights. Business Acumen: Strong understanding of business drivers, financial implications (especially cost of goods, wastage), and the P&L impact of planning decisions.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies.- Mentor junior professionals to foster their growth and development in AI and machine learning. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement neural networks for various applications. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Proficient in programming languages such as Python or R. Additional Information:- The candidate should have minimum 12 years of experience in Data Science.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to design and implement data pipelines for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Data Science.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement algorithms for various AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals and assist in their development.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education