9039 Machine Learning Jobs - Page 25

Overview: As Lodha is envisioning to grow from 18,000 Cr to 50,000 Cr company by 2030, our ability to understand our customers, derive insights and deploy right technology tools becomes very critical, as that would enable an agile and nimble growth for the organization. While Lodha is Indias number 1 real estate developer, it is also a pioneer in Technology domain, with BelleVie ‘Premium Lifestyle home super App’ (Digirealty Technologies Private Limited) being its 100% owned subsidiary disrupting the market with a strong team (~40) of technology experts (incl. architects, front end, backend, designers, product managers, etc.) from top start-ups/ organizations. In sync with our vision of 50,000 Cr by 2030, we are expanding our own in-house Data Sciences Center of Excellence (CoE) under Customer Intelligence and Data Office (CIDO), a unique 0 to 1 setup, which will look after the Analytics/ Data science related needs of Lodha Group with significant opportunities of collaborating with verticals and best in class BelleVie platform. The mandate of this team is to harmonize and analyze large amounts of raw information to provide actionable insights to business teams to help improve company topline/ bottom-line. We are looking for a skilled data scientist / Machine Learning (ML) engineer to develop, deploy, and maintain cutting-edge ML solutions that drive business outcomes. This is a high-impact role requiring end-to-end expertise in model development, deployment, and lifecycle management in production. Key Responsibilities: Collaborate with the Analytics Lead, Data Council, and IT teams to develop data-driven solutions Translate data into actionable insights, communicate them to business stakeholders in an easy language Design, build, and maintain scalable ELT pipelines for ingesting, transforming and processing data at scale Experiment with ML algorithms (regression, classification, clustering, LLMs etc) to solve business problems Transition ML models from prototypes to production, ensuring scalability, reliability and robustness Deploy and manage AI/ML models on cloud-based platforms like AWS, Azure or Salesforce Implement MLOps best practices including CI/CD pipelines, version control, model monitoring and retraining to maintain accuracy and performance Integrate ML outputs into platforms like Bellevie app, Salesforce Screens and reporting dashboards Qualifications & Skills: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 3-4 years of hands-on experience in data science, machine learning and production deployment of models Proficiency in Python and relevant libraries (eg. Pandas, Scikit-learn, XGBoost) along with strong SQL skills Strong understanding of predictive modeling techniques (supervised/unsupervised, clustering, NLP ) Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, Salesforce) with knowledge of MLOps practices like monitoring, version control and CI/CD Working knowledge of BI tools (Tableau, Power BI) for integrating ML insights into dashboards

JD for Generative AI Specialist JD Junior / Senior Generative AI Specialist Year of experience Junior / Senior 4-6 Years or 6- 8 years Shift : 11AM - 8PM Location : Chennai. Mode : Work From Office Role - The Generative AI specialist should be building GenAI LLM model driven solution using State of the Art Models like ( OpenAI, Gemini, Claude) , Opensource Models ( llama, Mistral). Should have expertise in fine tuning and training models . Should have implemented projects with expertise on Agents, Tools and RAG solutions. Hands on expertise in integrating LLMs with VectorDB like chromadb, faiss, pinecone is required. Expertise in PEFT, Quantization of models is required. Experience in Tensorflow, Pytorch, Python, Hugging Face, Transformers is must. Expert in data preparation, analysis and hands one expertise in Deep Learning model development is preferred. Additional expertise in deploying models in AWS is desired but optional. Skills OpenAI, Gemini, LangChain, Transformers, Hugging Face, Python, Pytorch, Tensorflow, Vectordb( chromadb, faiss, pinecone) Project experience Atleast 1-2 live implementation of Generative AI driven solution implementation. Extensive experience in implementing chatbots, knowledge search and in NLP . Good expertise in implementing Machine learning and deep learning solutions for atleast 2 years. Perks and benefits Salary: As per industry standards & Additional Attractive Perks Interested candidates are requested to share their updated resumes with alentacquisition@metriqe.com

Lead our AI/ML development efforts and shape the technical direction of our AI-driven products. You will be the product manager and you will be responsible for designing, building, and deploying scalable AI/ML solutions and mentoring the team.

Hi, we are hiring. Remote Opportunity Role & responsibilities Technical Strategy & Development Develop functional design, define the technology roadmap, selecting the best software architecture (custom or existing solution). Lead the customization and integration of the AI-powered applicant tracking system (ATS) or similar system. Oversee the development of the platform and recruitment features integration. Team Building & Leadership Manage and supervise engineers, designers, and AI specialists. Coordinate with outsourced development teams and ensure smooth collaboration. Establish best practices for agile development, security, and scalability. Stakeholder Collaboration Work closely with founders, HR teams, and external partners to align technical execution with business goals. Ensure the platform meets compliance standards (GDPR, data security, etc.). Regularly report progress, challenges, and key decisions. Key Skill Requirements: Academic background: Bachelor's degree in Computer Science, Software Engineering, or a related field (Masters degree is an advantage). Strong extracurricular activities and a track record of participation in coding competitions, hackathons, or similar technical events are a plus. Technical Expertise Strong background in full-stack development (React, Node.js, Python, Django, or similar). 6+ years of experience with AI-driven applications (machine learning, NLP, recommendation systems). Familiarity with ATS, HR Tech, or recruitment platforms is a plus. Startup & Leadership Experience Prior experience in a fast-growing startup or leading early-stage tech development. Ability to build and scale technical teams from scratch. Strong decision-making and project management skills. Product & Business Understanding Experience working with product teams, UX designers, and business leaders. Ability to balance technical innovation with business needs. Knowledge of European HR and recruitment trends is a plus. If anyone Interested Please Contact me E Mail: srikanth.xms@gmail.com/8919869111

Immediate joiners to max 15 days only Work Location: Hyderabad 5 days work from office No. of positions: 5 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Data Analytics view , Analytical Thinking, Data Slicing, Data Engineering. Select the right model and present the findings & justification / documentation of the findings - PPT / Other ways of doing Plan his own work / day Additional Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of deep learning techniques and neural networks. Previous involvement in end-to-end machine learning lifecycle projects with GenAI components If Interested please reach mounika.tungala@coforge.com Total Exp : Rel Exp : ctc : Exp ctc : Notice : current location : Ready to work from office : any offers : ready for inperson Interview :

Date live: 06/30/2025 Business Area: Corporate Digital Banking Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000047693 Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we’re advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you’ll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology. Why not join us and make it happen here? Join us as a Solution Designer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. To be successful as a Solution Designer you should have experience with: Basic/ Essential Qualifications: Design and architect end-to-end streaming solutions using Kafka, Flink or similar streaming technologies Experience with RDBMS, No-SQL databased (e.g. MongoDB) and cloud data platforms(Snowflake or Databricks) Proven track record in implementing event-driven requirements for high-volume, low-latency processing Strong background in real-time data pipeline design Translate complex business requirement into scalable technical solution designs and architecture blueprints Evaluate and recommend technology stacks based on performance, cost and scalability requirements Experience with observability stack for event-driven pipelines Create architecture patterns and establish best practices for streaming data solution Some other highly valued skills includes: Collaborate with cross-functional teams Communication of technical aspects effectively to both technical and non-technical members Lead technical reviews, architecture discussions You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Who succeeds in Tech at Barclays? For a career with us, you need to be prepared to take big steps forward, curious to face the challenges ahead, and driven to focus on the outcomes. We need people with the Barclays mindset to make it happen here. What you'll get in return Competitive holiday allowance Life assurance Private medical care Pension contribution Our technology Supporting our 48 million customers and clients worldwide takes a lot of forward thinking. It means harnessing technology to support the economy. It means making a difference to people’s lives. And it requires the maintenance and development of a global, technological infrastructure. At Barclays, technology helps us keep transactions moving, manages data, and protects our customers. Join a world where your work creates unique moments of impact. Make it happen here. This is Barclays Pune Barclays Pune is the largest campus outside of Barclays’ global headquarters in London. Our aim is to build game-changing technology that supports businesses and functions across the globe, offering the highest quality service to our clients and customers. An innovative hub Working better together A place where you can belong An amazing place to work Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

We are looking for a skilled Boomi Data Modeller with 6 to 10 years of experience to join our team in [location to be specified]. The ideal candidate will have expertise in data modeling and integration, with hands-on experience in designing and implementing data models using Boomi. Roles and Responsibility Design and develop data models using Boomi, ensuring data integrity and consistency. Collaborate with cross-functional teams to identify business requirements and design solutions. Develop and maintain technical documentation for data models and integrations. Troubleshoot and resolve issues related to data modeling and integration. Ensure compliance with industry standards and best practices for data management. Participate in code reviews and contribute to the improvement of the overall code quality. Job Strong understanding of data modeling concepts and principles. Proficiency in designing and implementing data models using Boomi. Experience with data integration and migration projects. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

We are looking for a skilled Senior Developer with expertise in Python and ReactJS to join our team at Apptad Technologies Pvt Ltd. The ideal candidate will have 5 to 7 years of experience. Roles and Responsibility Design, develop, and test software applications using Python and ReactJS. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop high-quality, scalable, and efficient code. Troubleshoot and resolve technical issues. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies. Job Strong proficiency in Python programming language. Experience with ReactJS and front-end development. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with agile development methodologies. For more information, please contact us at 6566207.

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

Looking for Siemens Eda Ambassadors: Member Of Technical Staff Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. We Are Not Looking for Superheroes, Just Super Minds Weve got quite a lot to offer. How about you? Qualifications: Youre a Graduate / Postgraduate (Bachelors/Masters) in EEE) / ECE/Computer Science (CS) from top reputed Engineering colleges with significant experience in software development. Experience in EDA will be a great plus. Your sound understanding of C/C++ languages, design patterns along with data structure and algorithms will be key to development of software. Your good knowledge of Graph will enhance the development time. Must have ability to understand complex products, solutions, and problems Self-motivated, self-discipline, with high integrity Team person who is easy to talk to This role is in Noida, where youll get the chance to work with teams impacting entire cities, countries and the craft of things to come. This is dynamic environment where the learning curve is very high.

We are looking for a skilled ML-Ops (AI/ML Ops/Kubernetes) Engineer with 6 to 10 years of experience. The ideal candidate will have a strong background in machine learning and operations, with expertise in AI/ML ops and Kubernetes. Roles and Responsibility Design and implement scalable data pipelines using AI/ML techniques. Collaborate with cross-functional teams to develop and deploy machine learning models. Develop and maintain large-scale data architectures using Kubernetes. Ensure seamless integration of machine learning models into existing systems. Troubleshoot and resolve complex technical issues related to AI/ML and Kubernetes. Implement automated testing and deployment scripts for efficient workflow management. Job Strong understanding of machine learning concepts and algorithms. Experience with AI/ML frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python or Java. Experience with cloud platforms such as AWS or Azure. Knowledge of containerization using Docker and orchestration using Kubernetes. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We focus on matching top talent with the right opportunities, and we are committed to delivering exceptional results.

We are looking for a skilled Data Engineer with 9 to 15 years of experience in the field. The ideal candidate will have expertise in designing and developing data pipelines using Confluent Kafka, ksqlDB, and Apache Flink. Roles and Responsibility Design and develop data pipelines for real-time and batch data ingestion and processing using Confluent Kafka, ksqlDB, and Apache Flink. Build and configure Kafka Connectors to ingest data from various sources, including databases, APIs, and message queues. Develop Flink applications for complex event processing, stream enrichment, and real-time analytics. Optimize ksqlDB queries for real-time data transformations, aggregations, and filtering. Implement data quality checks and monitoring to ensure data accuracy and reliability throughout the pipeline. Monitor and troubleshoot data pipeline performance, identifying bottlenecks and implementing optimizations. Job Bachelor's degree or higher from a reputed university. 8 to 10 years of total experience, with a majority related to ETL/ELT big data and Kafka. Proficiency in developing Flink applications for stream processing and real-time analytics. Strong understanding of data streaming concepts and architectures. Extensive experience with Confluent Kafka, including Kafka Brokers, Producers, Consumers, and Schema

We are looking for a highly skilled Data Scientist with 2 to 4 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in statistics, mathematics, computer science, or another quantitative field. Roles and Responsibility Participate and collaborate with operation teams to understand business requirements and deliver scalable solutions. Conduct thorough research on state-of-the-art generative AI techniques and apply them to enhance LLM models. Create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. Analyze user behavior, conversion data, and customer journeys to generate hypotheses and build optimization plans. Mine and analyze data from company databases to drive product development and business strategy improvements. Perform deep dive analyses on key business trends and package insights into easily consumable presentations and documents. Job Education in Statistics, Mathematics, Computer Science, or another quantitative field. Experience using computer languages (Python, SQL) to manipulate data and draw insights from large datasets. Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models. Strong programming skills in Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch). Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus. Prior experience in handling LLM use cases or working with large-scale language models is highly desirable. Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models. Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models.

We are looking for a skilled Senior Azure Data Engineer with 5 to 10 years of experience to design and implement scalable data pipelines using Azure technologies, driving data transformation, analytics, and machine learning. The ideal candidate will have a strong background in data engineering and proficiency in Python, PySpark, and Spark Pools. Roles and Responsibility Design and implement scalable Databricks data pipelines using PySpark. Transform raw data into actionable insights through data analysis and machine learning. Build, deploy, and maintain machine learning models using MLlib or TensorFlow. Optimize cloud data integration from Azure Blob Storage, Data Lake, and SQL/NoSQL sources. Execute large-scale data processing using Spark Pools and fine-tune configurations for efficiency. Collaborate with cross-functional teams to identify business requirements and develop solutions. Job Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Minimum 5 years of experience in data engineering, with at least 3 years specializing in Azure Databricks, PySpark, and Spark Pools. Proficiency in Python, PySpark, Pandas, NumPy, SciPy, Spark SQL, DataFrames, RDDs, Delta Lake, Databricks Notebooks, and MLflow. Hands-on experience with Azure Data Lake, Blob Storage, Synapse Analytics, and other relevant technologies. Strong understanding of data modeling, data warehousing, and ETL processes. Experience with agile development methodologies and version control systems.

We are looking for a skilled Data Scientist with 7 to 10 years of experience to join our team in Gurgaon. The ideal candidate will have expertise in designing, developing, and deploying scalable AI/ML solutions for Big Data. Roles and Responsibility Design and develop scalable AI/ML solutions for Big Data using Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries. Deploy AI/ML models and manage Big Data pipelines on cloud-based services such as GCP, AWS, or Azure. Extract actionable insights from large datasets and apply statistical methods to drive business growth. Communicate complex findings effectively to both technical and non-technical audiences through data visualization skills. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and maintain large-scale data systems and architectures to support business intelligence and analytics. Job Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field. Proven experience with cloud-based Big Data services for AI/ML model deployment and Big Data pipelines. Strong proficiency in programming languages such as Python, SQL, and experience with data modeling, warehousing, and ETL in Big Data contexts. Ability to work with large datasets, apply statistical methods, and communicate complex findings effectively. Experience with data visualization tools and techniques to communicate complex data insights. Strong analytical and problem-solving skills, with the ability to think critically and outside the box.

We are looking for a highly skilled and experienced BA / Data Analyst to join our team in Hybrid-Bangalore or Chennai. The ideal candidate will have 7 to 10 years of hands-on experience in Data Analysis, Python, and Excel. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for business intelligence. Create reports and dashboards using Python and Excel. Collaborate with cross-functional teams to drive business growth. Design and implement data analysis solutions to meet business needs. Ensure data quality and integrity by implementing data validation checks. Job Strong proficiency in Python programming language. Experience with Excel and data analysis tools. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced environment and meet deadlines. Strong communication and collaboration skills. Ability to analyze large datasets and extract insights. A graduate degree is required for this position. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We are committed to providing high-quality services to our clients and candidates. The selected candidate will be working on a contractual basis for the first 6 months.

We are looking for a skilled Python Developer with 5 to 10 years of professional experience in software development. The ideal candidate should have experience in the full software development lifecycle, including requirements gathering, design, implementation, testing, and maintenance. This position is available in Bangalore/Pune/Kolkata/Gurugram. Roles and Responsibility Design and develop scalable and maintainable software systems using Python and its popular frameworks like FastAPI, Flask. Build RESTful APIs and web services using Python and related libraries. Perform complex relational database queries using SQL (AWS RDS for PostgreSQL), Oracle PLSQL, and Redis databases. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain CI/CD pipelines using Jenkins Deployment and Git Repository. Ensure secure coding practices and adherence to security principles and practices in software development. Job Experience with Python's popular frameworks like FastAPI, Flask. Proficiency in building RESTful APIs and web services. Knowledge of data serialization formats like JSON and XML. Familiarity with AWS services and architecture, including EKS, API Gateway, Lambda, S3, RDS, VPC, Glue SQS, SNS, and Glue. Understanding of security principles and practices in software development, including AWS IAM and Security Manager. Ability to design scalable and maintainable software systems with experience in design patterns and best practices. Knowledge of front-end technologies (HTML, CSS, JavaScript) and how they interact with back-end services. Agile/Scrum and strong communication skills (spoken English, clarity of thought). Experience with Big Data, Data mining, machine learning, and natural language processing is a plus.

We are looking for a skilled Senior Specialist - Data Engineering with 5 to 10 years of experience to join our team at Apptad Technologies Pvt Ltd. The ideal candidate will have a strong background in data engineering and excellent technical skills. Roles and Responsibility Design, develop, and implement large-scale data pipelines and architectures. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data systems and databases. Ensure data quality, integrity, and security. Optimize data processing workflows for improved performance and efficiency. Stay updated with industry trends and emerging technologies. Job Strong understanding of data engineering principles and practices. Experience with big data technologies such as Hadoop, Spark, and NoSQL databases. Excellent programming skills in languages like Java, Python, or Scala. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Effective communication and interpersonal skills. For more information, please contact us at 6566536.

We are looking for a skilled MLOps professional with 3 to 11 years of experience to join our team in Hyderabad. The ideal candidate will have a strong background in Machine Learning, Artificial Intelligence, and Computer Vision. Roles and Responsibility Design, build, and maintain efficient, reusable, and tested code in Python and other applicable languages and library tools. Understand stakeholder needs and convey them to developers. Work on automating and improving development and release processes. Deploy Machine Learning (ML) to large production environments. Drive continuous learning in AI and computer vision. Test and examine code written by others and analyze results. Identify technical problems and develop software updates and fixes. Collaborate with software developers and engineers to ensure development follows established processes and works as intended. Plan out projects and participate in project management decisions. Job Minimum 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK). Strong Python experience. Minimum 3 years of experience with Machine Learning/AI or Computer Vision development/engineering. Ability to provide technical leadership to developers for designing and securing solutions. Understanding of Linux utilities and Bash. Familiarity with containerization using Docker. Experience with data pipeline frameworks, such as MetaFlow is preferred. Experience with Lambda, SQS, ALB/NLBs, SNS, and S3 is preferred. Practical experience deploying Computer Vision/Machine Learning solutions at scale into production. Exposure to technologies/tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML.

We are looking for a skilled Data Analyst with 4 to 8 years of experience to join our team in Gurugram. The role involves analyzing data, creating data models, and communicating insights to stakeholders. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for data storage and management. Create data models to support decision-making processes. Communicate insights and findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to drive business growth. Utilize analytical skills, data analytics, statistics, and data modeling daily. Job Strong proficiency in Python, PySpark, and SQL. Experience with data modeling and analysis. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving skills and attention to detail.

Cloud Consultant | Document Management Software | Docsvault 2022-05-10T08:18:34-04:00 Summary We are looking for Azure Consultant with relevant experience of 4+ years in Microsoft Azure to design and implement cloud architecture for our new cloud application. Responsibilities and Duties Design, consult and advise on state-of-the-art technical solutions on Azure that address our Angular/.netcore/MySQL application requirements for scalability, reliability, security, and performance. Taking complete ownership of design, deployment, implementation, security, and maintenance plans of our application on Microsoft Azure Evaluate stakeholder requirements, develop, communicate, and present solutions to the dev team and management. Support our teams in driving documentation, written requirements, and strategic direction to transfer knowledge and responsibility of our cloud infrastructure. Recommend client value creation initiatives and implement industry best practices. Provide valuable contributions and adaptation to post implementation support (long term). Demonstrate a hands-on ability to deliver appropriate technical solutions within project and program time frames. Desired Candidate Profile Significant experience in solution design, architecture, and hands on delivery within the Azure cloud & Azure DevOps environment (Advanced Azure knowledge) Extensive experience in relevant hosting solutions like Azure Functions, Azure DB for MySQL, Azure Blobs, modern network design, and senior technical support role. An ongoing willingness to learn, upskill in cutting edge technologies, train, coach, and mentor.

Whom are we looking for? We are seeking Quality consultants to provide support for our Customer Ops business and help them achieve their project goals. Joining our team will provide you with an excellent opportunity to enhance your expertise in Customer support processes A typical day in a Quality consultants role may look like: Collaborating with operations to identify potential project and process improvement opportunities, ranging from simple Excel-based solutions to advanced machine learning applications. Mentoring and leading projects, persistently driving them forward until significant progress is achieved. Providing support for Kaizen activities, fostering a culture of continuous improvement. Keeping senior stakeholders updated on project progress and outcomes. You Have: Planning and organizing skills, Analytical ability, Attention to details, Decision-making, Good communication skills - verbal and written, Good interpersonal skills Strong domain knowledge Basic Understanding of LEAN Six Sigma methodologies like LEAN, DMAIC, DFSS And of course, since you will be presenting to senior management frequently so you should be good with excel & PowerPoint You will get: Training certification on Lean Six Sigma methodologies Opportunity to work outside your current domain area Exposure to cutting-edge technologies like Artificial Intelligence, Machine Learning, and Robotic Process Automation (RPA).

We are looking for a highly skilled and experienced Senior Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical and problem-solving skills. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Work closely with clients to understand their needs and provide tailored solutions. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficient in data analysis and reporting tools, such as Excel or SQL. Strong communication and interpersonal skills, with the ability to work effectively with clients and teams. Ability to work in a fast-paced environment and meet deadlines. Strong attention to detail and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously.

Radiologist Job Description The Medical Imaging Technology team of Siemens Healthcare Technology Center has an immediate opening in Princeton, NJ for an experienced Chest Radiologist to join our multidisciplinary team focused on advancing AI-based solutions in medical imaging. The ideal candidate will bring clinical expertise in thoracic imaging and play a pivotal role in the development, validation, and deployment of AI-driven diagnostic tools. This is an exciting opportunity to work at the intersection of clinical radiology and cutting-edge technology, contributing to the future of AI in healthcare. What are my responsibilities? Collaborate with data scientists, AI engineers, and clinical teams to develop algorithms for automated detection, diagnosis, and quantification of thoracic diseases (e.g., lung cancer, pneumonia, interstitial lung disease) in medical imaging. Lead the clinical validation efforts for AI models by evaluating algorithm performance, ensuring diagnostic accuracy, and comparing AI outputs against radiologist interpretation. Provide expert annotations and guidance on chest imaging datasets to improve AI model training. Ensure the quality and consistency of labeled datasets used in AI development. Work with AI developers to refine algorithms, providing clinical feedback on areas for improvement and offering suggestions to enhance diagnostic performance. Assist in integrating AI solutions into radiology workflows, ensuring tools are user-friendly, efficient, and improve clinical outcomes. What do I need to qualify for this job? Education : Doctor of Medicine (MD) degree with board certification in Diagnostic Radiology. Fellowship training in Chest or Thoracic Imaging is required. Experience : Minimum of 5 years of experience in chest imaging, with a strong background in diagnosing pulmonary and thoracic conditions. Experience in AI development, clinical research, or advanced imaging techniques is highly desirable. Technical Skills : Familiarity with AI applications in medical imaging, including automated segmentation, classification, and detection algorithms. Experience with AI platforms, machine learning models, and medical imaging software is a plus. Communication Skills : Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

Job Summary What you need to know about the role This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Meet our team We are the Global Analytics and Data Science (GADS) team, working within GFCCP. Our expertise lies in leveraging machine learning and artificial intelligence to automate and optimize risk and dispute management processes in the back office, delivering scalable solutions. Job Description Your way to impact As a Senior Machine Learning Engineer in the team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams on solution implementation, and integration within complex environments . Your day-to-day Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. What do you need to bring Minimum of 5 years of relevant work experience and a bachelor s degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree in engineering, science, statistics or mathematics with a strong technical background in machine learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required. Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI). Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience in mentoring and supporting junior data scientists or engineers. Experience working in a multi-cultural and multi-location organization - an advantage. Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills. Good to Have Experience with applying LLMs, prompt design, and fine-tuning methods Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Knowledge of Payments industry, transaction risk domain Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications. Preferred Qualification Subsidiary PayPal Travel Percent 20 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.