Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting – Global Network Practice :- GN Data &AI – CMT (Communication, Media & Technology) Title :- Ind & Func AI Value Strategy Senior Manager Job location :Bangalore About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. What's in it for you? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in CMT. They develop specialized expertise"”strategic, industry, functional, technical"”in a diverse project environment that offers multiple opportunities for career growth. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Qualifications Qualifications Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Master’s degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 12 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Position : Staff Data Engineer (Only Immediate Joiner) Experience: 8+ years data engineering experience Location : Bangalore Mode of work : Hybrid Education : BS (or higher, MS / PhD) degree in Computer Science / related field, or equivalent technical experience. Job Type : On Role (Full Time) Salary : Negotiable Purpose As a Staff Data Engineer, you will work with a globally distributed team of engineers to design and build cutting edge solutions that directly improve the healthcare industry. Youll contribute to our fast-paced, collaborative environment and bring your expertise to continue delivering innovative technology solutions, while mentoring others. Duties and Responsibilities 1. Lead and contribute to the creation of a self-service data platform for reporting and analytics 2. Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs) 3. Ensure best practices for ETL / ELT processes (data quality management, data processing, data partitioning, maintainability and reusability) 4. Collaborate with engineers, product, and business leaders to ensure data platform is integrated with other systems and technologies (Tableau, Power BI, APIs, custom applications) 5. Establish CI/CD processes, test frameworks, infrastructure-as-code tools, and monitoring/alerting (Git, Terraform, Azure DevOps / GitHub Actions / Jenkins, Azure Monitor / Datadog) 6. Adhere to the Code of Conduct and be familiar with all compliance policies and procedures stored in LogixGarden relevant to this position Qualifications To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities perform the duties. Experience 1. Experience with native and third-party Databricks integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog) 2. 8+ years data engineering experience 3. 3+ years in a senior, staff or principal engineer role 4. Experience designing scalable data pipelines 5. Experience leading projects within a team and across teams 6. Azure experience preferred 7. Azure Databricks implementation experience preferred 8. Experience designing and implementing data security and governance platform adhering to compliance standards (HIPPA, SOC 2) preferred Specific Job Knowledge, Skill and Ability 1. Strong programming skills in pySpark/Scala 2. Strong Dataframe programming skills, such as Spark, Pandas, NumPy 3. Passion for mentoring and guiding others 4. Strong written and verbal communication skills 5. Expert knowledge in architecting, designing and implementing data solutions to serve the needs of our business processes and software products 6. Ability to keep security, maintainability, and scalability in mind with the solutions built 7. Possess excellent interpersonal communication skills and an aptitude for continued learning Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Our Client is seeking a skilled Python Developer to join our dynamic team. The ideal candidate will have experience in building scalable web applications , working with APIs , and handling data-driven tasks using Python-based tools. You will be responsible for backend development , database operations , API integration , and data analysis , while collaborating effectively using Git-based workflows. Key Responsibilities: Develop and maintain web applications using Django . Design and implement RESTful APIs for seamless integration with external services and frontend apps. Perform API integrations with third-party systems and internal tools. Work with SQL databases to design schemas, write complex queries, and optimize performance. Utilize NumPy and Pandas for data processing, transformation, and basic analytics . Collaborate with the team using Git for version control and code reviews. Write clean, scalable, and well-documented Python code. Participate in agile development processes, including sprint planning and code deployments. Required Skills: Strong proficiency in Python . Solid experience with Django framework. Hands-on experience with REST API development and integration . Proficiency in writing and optimizing SQL queries (PostgreSQL/MySQL preferred). Knowledge of NumPy and Pandas for data manipulation. Familiarity with Git version control and collaborative workflows (GitHub/GitLab/Bitbucket). Understanding of software development best practices and testing. Preferred Qualifications: Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with Docker or containerization tools. Basic understanding of frontend technologies (HTML/CSS/JavaScript) is a plus.

Software Engineer Python Developer Basic Qualifications Bachelors degree in relevant discipline (Computer Science, Engineering, IT, Information Systems or a related field, or equivalent experience) Bachelors degree in computer science, Engineering, or related field. 4+ years of professional experience as a Python Developer or Software Engineer. 1+ year of experience or strong exposure with cloud computing platforms, particularly AWS Strong proficiency in Python programming language and related frameworks/libraries. Experience with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with AWS services such as EC2, S3, Lambda, SageMaker, Comprehend and CloudFormation. Solid understanding of software engineering principles, algorithms, and data structures. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Roles & Responsibilities: Collaborate with cross-functional teams to define machine learning requirements and develop scalable solutions. Design and implement machine learning models and algorithms using Python libraries such as TensorFlow, PyTorch, or scikit-learn. Develop and maintain data processing pipelines for feature engineering, model training, and evaluation. Deploy machine learning models into production environments on AWS cloud infrastructure. Utilize AWS services such as EC2, S3, Lambda, and SageMaker to build and deploy scalable solutions. Implement monitoring and logging mechanisms to track model performance and system health. Optimize machine learning workflows for performance, scalability, and cost-effectiveness. Stay updated on the latest advancements in machine learning techniques, AWS services, and best practices. Participate in code reviews, pair programming, and knowledge-sharing sessions with team members. Nice to have: US Healthcare knowledge is an advantage. Experience with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps practices and tools for CI/CD automation. Familiarity with SQL databases and big data technologies (e.g., Hadoop, Apache Spark).

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

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. Requirements: 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.

Role & responsibilities Develop, test, and maintain Python-based applications and systems Work with databases (SQL/NoSQL) and integrate with external APIs Optimize applications for maximum speed and scalability Collaborate with cross-functional teams to design and implement new features Ensure code quality through unit testing and code reviews Experience with cloud platforms (AWS, Azure) Familiarity with CI/CD pipelines Interview Process: L1 Interview to be done Virtually L2 Interview to be done In person or F2F

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Candidate will be responsible for developing high-quality web applications using Django, ensuring robust, scalable, and efficient code Experience with Django REST framework Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases. Familiarity with version control systems (e.g., Git). Strong understanding of RESTful APIs and web services. Experience with cloud services (e.g., AWS, Azure) is a plus. Knowledge of Docker and container orchestration tools (e.g., Kubernetes) is a plus. Familiarity with agile methodologies and development practices. Job Location - Jaipur

Experience: 8 to 10 Years of relevant IT experience (Minimum 4 to 5 years in Data Science, AI/ML) Roles and Responsibilities: Solution Design: Architect, design and implement to solve complex AI/ML solutions that align with business objectives and integrate with existing systems. Also develop and apply supervised and unsupervised learning techniques on large datasets. Stakeholder Engagement: Collaborate with stakeholders to gather requirements and translate them into technical specifications. Technical Leadership: Guide and mentor development teams in AI/ML technologies solutions and best practices. Project Management: Manage AI/ML projects from ideation to deployment, ensuring they are delivered on time and meet quality standards. Innovation: Stay abreast of the latest AI/ML trends and technologies, driving innovation within the organization. Model Optimization: Optimize AI/ML models for performance, scalability, and reliability. Documentation: Develop and maintain detailed documentation for AI/ML solutions, including architecture diagrams, technical specifications, and user manuals. Create appropriate business value centric case studies, based on the actual projects that have been executed. Training and Support: Provide training and support to team members and end-users on AI/ML tools and solutions. Skills and Qualifications: Bachelors or Masters degree in Computer Science, or a related field. At least 5 years of experience in AI/ML solution architecture including RAG, LLM solutions, with a proven track record of successful project implementations. Expertise in programming languages such as Python or Java. Strong understanding of machine learning frameworks and Python AI libraries (e.g., TensorFlow, PyTorch, Pandas, Keras, matplotlib, scikit-learn). Strong knowledge of supervised and unsupervised AI learning techniques. Expertise in training and retraining AI models. Experience with cloud platforms (e.g., AWS, Azure) and their AI/ML services such as Claude, Bedrock, and other solutions such as GPT and NLP. Hands-on experience with creating AI prototypes for specific use cases. Should be well versed in creating solutions in response to customers RFIs/RFPs. Adept in Presentation material preparation and doing client presentations. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team environment. Leadership and mentoring abilities. Certifications: Relevant certifications in AI/ML, cloud computing, or solution architecture are a plus. Work Mode: Work from Home (WFH) is available; however, based on client requirements, Candidate may need to work from the office (WFO) in Hyderabad. Time Zone : US Travel: Candidates should be open to international travel if required for client projects.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Job Requirement We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus. Responsibilities: Develop and deploy GenAI-based applications to solve complex business problems. Implement RAG frameworks to enhance information retrieval and response accuracy. Design and optimize document chunking strategies tailored to specific data types and use cases. Build and manage data embeddings using various vector databases for high-performance similarity searches. Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines. Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services. Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape. Mandatory Skills: Proficiency in Generative AI frameworks and technologies like Prompt Engineering creating specific prompts to guide LLM outputs Fine Tuning and Few-Shot learning Adapting LLMs for domain-specific tasks. Retrieval-Augmented Generation (RAG) Combining LLMs with external data retrieval systems Text-to-Text Transfer Transformation (T5) Framework for translating tasks into text forms. Expertise in designing and implementing chunking strategies for diverse datasets. Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus. Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure). Experience with API integration for AI services and building scalable applications.

Summary We are seeking a highly skilled Python Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus Your role in our mission Develop and deploy GenAI-based applications to solve complex business problems. Implement RAG frameworks to enhance information retrieval and response accuracy. Design and optimize document chunking strategies tailored to specific data types and use cases. Build and manage data embeddings using various vector databases for high-performance similarity searches. Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines. Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services. Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape. What we're looking for Proficiency in Generative AI frameworks and technologies like Prompt Engineering creating specific prompts to guide LLM outputs Fine Tuning and Few-Shot learning Adapting LLMs for domain-specific tasks. Retrieval-Augmented Generation (RAG) Combining LLMs with external data retrieval systems Text-to-Text Transfer Transformation (T5) Framework for translating tasks into text forms. Expertise in designing and implementing chunking strategies for diverse datasets. Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus. Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure). Experience with API integration for AI services and building scalable applications. What you should expect in this role Develop and deploy GenAI-based applications to solve complex business problems. Implement RAG frameworks to enhance information retrieval and response accuracy. Design and optimize document chunking strategies tailored to specific data types and use cases. Build and manage data embeddings using various vector databases for high-performance similarity searches. Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines. Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services. Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

Python and Pandas for application and automation programming; REST API design and frameworks; code versioning tools (Git); Required Candidate profile Python Developer;

Expert in Python and SQL for data exploration and modeling. Strong background in statistical modeling, segmentation, and A/B testing. Experience with scikit-learn, pandas, Jupyter, and optional tools like Tableau, Looker, or dashboards. Comfortable working with campaign goals (ROAS, CPA, sales lift) and developing actionable audience insights. Develops insights, audience scoring, and experiment frameworks to identify the highest-performing combinations of segments, channels, and strategies. Design audience insights pipelines using device/app/geo/time/segment data to surface high-performing cohorts. Build LTV, propensity, and uplift models to influence media planning and bidding strategies. Account for seasonal and vertical-specific trends to enrich insights. Define key metrics for optimization (e.g., ROAS, CPA, foot traffic lift). Work closely with traders and marketers to translate business goals into data strategies.

We are currently seeking a Lead - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate be a skilled on Advance Excel, SQL, Python and support on Reporting and Analytics applications. The candidate needs to have strong technical knowledge and be very structured and analytical in his/her approach. Essential Duties and Responsibilities Primary responsibility involves advanced SQL and advanced Excel report design and development. Publishing and scheduling SSIS\SSRS report as per the business requirements. Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs. Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver. Good understanding of database management systems and ETL (Extract, transform, load) framework Connecting to data sources, importing data and transforming data for Business Intelligence. Experience in using advance level calculations on the data set. Responsible for design methodology and project documentation. Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Should have knowledge and experience in prototyping, designing, and requirement analysis. Qualifications Graduate (BE-BTEC Computer science /BCA/MCA/MSc Computers) or have an equivalent academic qualification Good communication Skills (both written & verbal) 2+ years experience in Reporting and Analytics with Python, SQL and excel must have prior experience on Relational Database and BI developer using SQL server, SSIS, Power BI, Tableau, Advance Excel. Skill Set: Good to have: Experience on Design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries. Exposure to Snowflake would be ab added advantage Experience with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success. Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft Azure Good knowledge/expertise on different versions of .Microsoft Sql Server 2008, 2012, 2016, 2017, 2020

Develop models for underwriting, claims management, fraud detection, risk assessment. Use advanced ML techniques to analyze & enhance retention strategies. Process & analyze large datasets from various insurance systems to identify patterns. Required Candidate profile Proficient in Python & SQL for data analysis & modeling. Familiar with data science libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data visualization tools.

We are seeking a highly skilled and experienced Senior Python Developer with a strong background in Artificial Intelligence (AI) and expertise in PyTorch . The ideal candidate will lead development initiatives, build innovative solutions, and work on cutting-edge projects that leverage AI technologies. This role offers an exciting opportunity to work in a collaborative environment, solve complex challenges, and contribute to impactful projects. Key Responsibilities AI Model Development : Design, develop, and deploy AI/ML models using PyTorch for diverse applications. Software Development : Write clean, scalable, and efficient Python code to create robust software solutions. Research and Innovation : Stay updated with the latest advancements in AI/ML and recommend best practices for implementation. Optimization and Performance Tuning : Optimize models for performance, scalability, and deployment in production environments. Collaboration : Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver high-quality solutions. Tool Integration : Integrate AI models into existing systems and workflows while ensuring seamless deployment. Documentation : Maintain comprehensive documentation for developed solutions, including APIs and technical specifications. Required Skills and Qualifications Programming Expertise : Strong proficiency in Python with extensive hands-on experience. AI/ML Expertise : Proven experience in building and deploying machine learning models, especially using PyTorch . Development Experience : Minimum of 5 years of professional experience in software development. Frameworks & Libraries : Deep understanding of PyTorch, TensorFlow (optional), Scikit-learn, Pandas, NumPy, etc. Cloud Computing : Experience with deploying AI solutions on cloud platforms like AWS, Azure, or GCP. Database Management : Familiarity with relational and non-relational databases (e.g., MySQL, MongoDB). Version Control : Proficient with Git and CI/CD pipelines. Understanding of LLM model (Large Language Model). Problem-Solving Skills : Strong analytical and problem-solving abilities with attention to detail. Soft Skills : Excellent communication, collaboration, and leadership skills. Preferred Skills Experience with NLP, Computer Vision , or other specialized AI domains. Experience with any Frontend language. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with DevOps practices and tools. Exposure to Big Data frameworks (e.g., Apache Spark, Hadoop). Certifications in Python, AI, or cloud platforms (AWS/GCP/Azure).

Key Responsibilities: Develop and maintain automated web scraping scripts using Python libraries such as BeautifulSoup, Scrapy, and Selenium. Optimize scraping pipelines for performance, scalability, and resource efficiency. Handle dynamic websites, CAPTCHA-solving, and implement IP rotation techniques for uninterrupted scraping. Process and clean raw data, ensuring accuracy and integrity in extracted datasets. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Leverage APIs when web scraping is not feasible, managing authentication and request optimization. Document processes, pipelines, and troubleshooting steps for maintainable and reusable scraping solutions. Ensure compliance with legal and ethical web scraping practices, implementing security safeguards. Requirements: Education : Bachelors degree in Computer Science, Engineering, or a related field. Experience : 2+ years of Python development experience, with at least 1 year focused on web scraping. Technical Skills : Proficiency in Python and libraries like BeautifulSoup, Scrapy, and Selenium. Experience with regular expressions (Regex) for data parsing. Strong knowledge of HTTP protocols, cookies, headers, and user-agent rotation. Familiarity with databases (SQL and NoSQL) for storing scraped data. Hands-on experience with data manipulation libraries such as pandas and NumPy. Experience working with APIs and managing third-party integrations. Familiarity with version control systems like Git. Bonus Skills : Knowledge of containerization tools like Docker. Experience with distributed scraping solutions and task queues (e.g., Celery, RabbitMQ). Basic understanding of data visualization tools. Non-Technical Skills : Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and collaboratively in a team environment. CANDIDATES AVAILABLE FOR FACE-TO-FACE INTERVIEWS ARE PREFERRED.

This is an opportunityWorkedJob Title: Data Scientist Location: Work From Home (WFH) / Hybrid / Hyderabad Experience Required: 3-5 years (Relevant Experience) About the Company We are an AI-first healthcare company dedicated to transforming the healthcare industry through transparency, accessibility, and cutting-edge technology. Our mission is to empower individuals with quality care and actionable insights , ultimately improving health and longevity. Join us in revolutionizing healthcare with human-centric AI solutions. Role Overview We are seeking a Data Scientist with a passion for AI-driven healthcare solutions. In this role, you will analyze complex medical data, develop predictive models, and leverage machine learning to drive better healthcare outcomes. You will work closely with cross-functional teams to build innovative solutions that enhance patient care and operational efficiency. Key Responsibilities Design, develop, and deploy machine learning models to analyze complex healthcare data. Work with structured and unstructured datasets (EHRs, clinical reports, medical imaging, etc.). Build predictive analytics and NLP-based solution s to enhance healthcare decision-making. Optimize deep learning, statistical modeling, and AI algorithms for better performance and scalability. Ensure compliance with healthcare data security and privacy standards (HIPAA, GDPR, etc.). Develop and maintain scalable data pipelines for processing large volumes of healthcare data. Design ETL processes to extract, transform, and load structured & unstructured data from multiple sources. Work with big data technologies (Spark, Hadoop) and cloud platforms (AWS, CP, Azure). Optimize data architecture for real-time and batch processing. Manage data storage solutions (SQL, NoSQL, Data Lakes, Warehouses) for efficient querying and retrieval. Implement data governance, security policies, and best practices in healthcare data management. Enable data availability, reliability, and quality for downstream AI and analytics applications. Collaborate with engineering and product teams to integrate AI models into healthcare applications. Stay updated with emerging AI trends in healthcare and continuously enhance AI capabilities. Required Skills & Qualifications 3-5 years of hands-on experience in data science, machine learning, or AI in a healthcare or Strong proficiency in Python/R, SQL and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Experience in machine learning, deep learning, NLP, and predictive analytics . Familiarity with healthcare datasets, electronic health records (EHRs), and medical ontologies . Hands-on experience in feature engineering, model optimization, and deployment . Expertise in big data processing frameworks (Apache Spark, Hadoop). Experience with ETL pipeline development and orchestration tools (Airflow, Apache NiFi). Strong knowledge of SQL, NoSQL databases (PostgreSQL, MongoDB, BigQuery, Redshift). Familiarity with cloud-based data platforms (AWS Redshift, GCP BigQuery, Azure Data Lake). Proficiency in Docker, Kubernetes, and CI/CD pipelines for data workflows. Why Join Us? Be part of an AI-first healthcare revolution that directly impacts lives. Work on cutting-edge AI/ML solutions in a growing and impactful industry. Flexible work environment WFH, Hybrid, or Hyderabad-based . Opportunity to collaborate with a team of passionate AI researchers, healthcare experts, and engineers .

Skill required: Network Services - Network Analytics Designation: Business Advisory New Associate Qualifications: Any Graduation Years of Experience: 0 to 1 years What would you do? Responsible for collecting, organizing and analyzing data to help our client meet business objectives and drive business decisions Looking for a candidate who has basic level of networking knowledge and who can grasp the internal functioning of the US Telecom industry. This team you will be a part of works on Network Analytics and helps provide operators and enterprises with a deep understanding of the network, enabling smarter, data-driven decisions. What are we looking for? Python (Programming Language) Excel Analytics Ability to establish strong client relationship Ability to perform under pressure Ability to work well in a team Detail orientation Problem-solving skills PySpark Pandas Python Library Jupyter Notebook Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your primary interaction is within your own team and your direct supervisor In this role you will be given detailed instructions on all tasks The decisions that you make impact your own work and are closely supervised You will be an individual contributor as a part of a team with a predetermined, narrow scope of work Please note that this role may require you to work in rotational shifts

Job Responsibilities: 1.Using Data Analysis to perform Market Segmentation of the assigned Market Domain. 2.Using Data Analysis to develop financial model and equation of the AI Product/Service Prototype 3.Develop Practical Business Model of the AI Product/Service Prototype During the Internship you will be assigned to one or more of the following projects: Primary Projects: T1. Large Scale Market Segmentation using Machine Learning and Data Analysis T2. Macro-economic Analysis and Forecasting using Machine Learning T3. Product Segmentation using Data Analysis T4. Adaptive Question System Qualification: B.Tech/M.Tech, B.Sc/M.Sc Knowledge Requirements for the Internship Program: -Probability, Statistics, Linear Algebra, Calculus -Python, R, Pandas, Scikit Learn, Matplotlib, Seaborn Role & responsibilities

About Client Hiring for One of Our Multinational Corporations! Job Title : Senior Python Developer Qualification : Bachelors degree in Computer Science or Information Technology Relevant Experience : Proven experience as a Senior Python Developer Must Have Skills : Expertise in Python frameworks (Django, Flask, etc.) Strong experience in writing scalable Python code Proficiency in developing back-end features Ability to debug and optimize applications for performance Experience in designing and delivering high-performance, low-latency applications Experience in integrating user-facing elements with server-side logic Familiarity with software testing and debugging Code review experience and promoting knowledge sharing Strong problem-solving and communication skills Good to Have Skills : Familiarity with DevOps tools and practices Experience with database management (e.g., PostgreSQL, MySQL, MongoDB) Experience in cloud platforms (e.g., AWS, Azure) Familiarity with front-end technologies (e.g., JavaScript, HTML, CSS) Experience with containerization technologies (e.g., Docker, Kubernetes) Roles and Responsibilities : Craft top-tier scalable Python codes. Engineer and implement functional requirements. Develop efficient back-end features using Python. Write code that is well-tested, easy to read, and easy to maintain. Debug applications to ensure high availability and low latency. Design and deliver high-performance, low-latency applications. Collaborate with UX/UI designers to turn designs into code. Integrate user-facing elements with server-side logic. Engage in code reviews to uphold code quality and promote knowledge sharing. Oversee software testing and ensure all bugs are fixed promptly. Location : Bangalore Notice Period : Immediate or 15 Days Mode of Interview : Face to Face Mode of Work: Hybrid -- Thanks & Regards Nushiba Taniya M Black and White Business Solutions Pvt.Ltd. Bangalore,Karnataka,India. Direct Number:08067432408 |Nushiba@blackwhite.in |www.blackwhite.in

Dear Candidate, We are looking for a skilled Python Developer to build scalable web applications and data-driven solutions. If you have expertise in Django, Flask, and API development, wed love to hear from you! Key Responsibilities: Design and develop robust, scalable Python applications. Create RESTful APIs for seamless integration with front-end applications. Optimize application performance and database queries. Work with cloud platforms (AWS, Azure, GCP) for deployment. Implement best coding practices and security standards. Collaborate with data scientists, DevOps, and front-end teams. Required Skills & Qualifications: Proficiency in Python and web frameworks (Django, Flask, FastAPI). Hands-on experience with databases (PostgreSQL, MySQL, MongoDB). Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus. Familiarity with cloud services and containerization (Docker, Kubernetes). Experience with version control (Git, GitHub, GitLab). Soft Skills: Strong analytical and problem-solving skills. Ability to work independently and in a collaborative environment. Good communication and teamwork skills. Note: If interested, please share your updated resume and your preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

As a Quantitative Research Data Engineering Associate within our Wholesale Credit Data QR team, you will be part of a mission to design, analyze, and deliver firm-wide data to support the firms Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan loss reserves models. In this role, you will focus on data model definition, evolution of Data Dictionary to enable deep dive Data Analysis and Analytical explorations. You will work on the evolution of our frameworks, underlying data platforms and related tools to enhance ease of integration of pricing and forecast models, improve flexibility and extendibility of the framework as well as improve scalability and performance. This role will provide you with the opportunity to work with other experienced Wholesale Credit model developers and business partners, enhancing your quantitative as well as business skills. Job Responsibilities Work as data engineer, to create or build data pipeline, define API to source data from different systems, perform complex transformation or enhancements to data and optimize end to end run. Write business requirements in the form of JIRA epics & user stories to develop data and system requirements for credit risk modelling platform Perform data analysis to support model development and analytics Liaise with various lines of business and risk modelers, thoroughly understand various models for BASEL, CCAR, CECL and other credit risk models Work with multiple stakeholders to elicit, analyze, refine and document business process and data requirements Collaborate through the entire Software Development Life Cycle (SDLC) including planning, analysis and testing of new applications and enhancements to existing applications Perform user acceptance testing and deliver demos to stakeholders by SQL queries or Python scripts Required qualifications, capabilities, and skills Bachelors or Master’s in Computer Science, Data Analytics or equivalent discipline. Experience of 3+ years in data engineering role in financial services, data analytics with focus on frameworks to handle large datasets and similar. Data Analysis and data manipulation skills using SQL , Python, object orient programming & MS Excel is required. Strong analytical skills in forecasting and interpreting results and comfortable working with large quantities of data Experience on building data architecture to source data from different systems, handling complex transformation ad optimizing the end to end solution Ability to solve problems creatively while working in a dynamic and challenging environment under tight deadlines. Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts Detail oriented and strong organizational skills. Excellent communication abilities, both written and oral Experience implementing analytics frameworks in finance. Experience with source control, automated build/test systems, code coverage, unit testing and release processes Preferred qualifications, capabilities, and skills Experience in software engineering to build data architecture based on python, object orient programming, SQL etc. is preferable Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations