Across India (Noida, Pune, Hyderabad, Chennai and Banglore) Full time Skill & Experience 11+ years of experience preferred. Advanced degree in computer science, data science, or a related field. Deep understanding of LLM architectures, algorithms, and techniques. Strong experience in Python, SQL. Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) Experience with data labeling and annotation tools. Certifications in cloud platforms or ML technologies can be a plus. Proficient knowledge of cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical skills. Ability to work in team-oriented, collaborative environment.

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Required skills and qualifications 5+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. MATLAB experience is must Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data analysis and statistical modeling techniques.- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and workflows to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or R. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models, cucumber, eclipse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Who we are? Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times, and Analytics India Magazine. Curious about the role? We’re looking for a passionate programmer who enjoys working with data, writing clean and efficient code, and collaborating with teams to solve technical challenges. If you have an interest in structuring code effectively and improving existing systems, this role could be a great fit for you. •Python Scripting Expertise: Proficient in Python with hands-on experience using libraries such as Pandas and NumPy for data manipulation and analysis. Cloud Architecture Knowledge: Familiarity with cloud platforms like AWS, GCP, or Azure, including their services and architecture. Production Deployment Experience: Practical experience deploying code in production environments, specifically on Hadoop or Kubernetes clusters. MLOps and CI/CD Proficiency: Experience with MLOps practices and version control tools like Git to maintain CI/CD pipelines for efficient model deployment and management. Characteristics: Strong presentation and communications skills PySpark Knowledge (Preferred): Exposure to PySpark for big data processing is a valuable advantage Who do we expect? • Bachelor’s/Master’s Degree in Engineering, Computer Science, or related fields. • Interest in core programming principles and an understanding of the importance of code structure. • Passion for writing clean, simple, and efficient code that is easy to maintain .• Ability to quickly understand, debug, and enhance existing projects while contributing effectively. • Eagerness to learn and adapt to evolving technologies and best practices in software development. You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equalopportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits : Health insurance (self & family), virtual wellness platform, and knowledge communities.

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

We are looking for an experienced Senior Data Analyst with a strong background in the Internet Service Provider (ISP) domain, specializing in the analysis of SD-WAN data and security device alerts. This role is central to leveraging AI and Machine Learning for anomaly detection, predictive analytics, and performance optimization across large-scale ISP networks. You will play a critical role in transforming raw network and security data into actionable intelligence that improves uptime, customer experience, and security resilience. Key Responsibilities: Analyze high-volume data from SD-WAN components, routers, switches, and ISP-grade security appliances (e.g., firewalls, IDS/IPS, DDoS mitigation tools). Correlate network performance issues and security alerts to uncover patterns, detect anomalies, and support incident prevention. Design and implement AI/ML models for predictive maintenance, fault detection, traffic behavior analysis, and threat intelligence. Conduct root cause analysis (RCA) for network outages, degradations, and security incidents affecting customer services. Collaborate closely with NOC and SOC teams to deliver actionable insights for proactive monitoring and alerting. Develop and maintain visualizations and dashboards (e.g., using Grafana, Power BI, Tableau) to report on key metrics and trends. Ensure data quality, accuracy, and consistency across all network and security data sources. Identify data-driven opportunities for improving network performance, security posture, and customer satisfaction. Stay updated on industry best practices in AI/ML applications for ISP operations and cybersecurity. Primary Skills Bachelors or Masters degree in Data Science, Computer Science, Network Engineering, or a related field. 6+ years of experience in data analysis, with at least 3 years in the ISP or networking domain. Strong knowledge of ISP network architecture, SD-WAN, BGP, DNS, DHCP, NAT, and other core protocols. Hands-on experience with analyzing logs and alerts from security devices such as Fortinet, Cisco, Juniper, or Palo Alto. Proficient in Python, SQL, and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Practical experience with machine learning models for classification, clustering, anomaly detection, and time-series forecasting. Experience working with SIEM tools and large-scale log data (e.g., ELK Stack, Splunk). Strong problem-solving, critical thinking, and stakeholder communication skills. Preferred Qualifications: Background in large-scale ISP infrastructure monitoring and performance optimization. Familiarity with ISP platforms and services (e.g., DNS, CDN, PPPoE, IP Management). Experience with cloud networking tools (e.g., AWS/Azure network monitoring). Relevant certifications (e.g., CCNP, CompTIA Security+, AWS Certified Data Analytics). Exposure to big data tools (e.g., Spark, Hadoop) is a plus.

Data Engineer Description: Degree and Qualification: BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field. Masters degree in data science, AI, or a related field is preferred. Number of Years of Experience as a Data Analyst / Scientist3-8 years Language Skills: Good communication skills in English, proficiency in German is an added advantage. Domain Knowledge: Strong understanding of supply chain and supplier performance evaluation processes. Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers. Basic knowledge of plant logistics and operational efficiency. Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production. Digital Expertise: 1. Power BI Desktop (advanced): o Advanced knowledge of building dashboards, creating data models, and writing DAX expressions, o Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI o Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios. o Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story. o Power BI Service (advanced):Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways. 2. Machine Learning & AI: o Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection. o Familiarity with AI concepts like neural networks, NLP, or reinforcement learning. 3. Data Wrangling & Analysis: o Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn. o Experience in PySpark for distributed data processing and large-scale data transformation. o Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets. 4. Communication & Stakeholder Management: o Ability to effectively communicate technical insights to non-technical stakeholders. o Strong customer-facing communication skills and experience collaborating with cross-functional teams. Behavioral / Personal Skills: Willingness to learn and apply new skills. High adaptability and readiness to handle unstructured tasks. Strong analytical mindset, with a focus on problem-solving and result-oriented thinking. Team player with excellent communication and interpersonal skills. 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. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist Immediate joiners send your resume to carrers@dataceria.com: -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Pune (hybrid). Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

Responsibilities: 1. Data Mining & Predictive Analytics Analyze large-scale healthcare datasets, including EHRs, claims data, and operational databases. Apply machine learning algorithms and statistical methods to identify trends, anomalies, and patterns related to patient outcomes and healthcare delivery. Develop predictive models to forecast health risks and treatment responses for proactive care planning. Use tools such as Python (Pandas, NumPy, Scikit-learn, TensorFlow) , SQL , Hadoop , Spark , and NoSQL databases . 2. Data Slicing, Dicing & OLAP Analysis Perform data segmentation based on demographics, conditions, or treatment histories to support targeted analysis. Conduct OLAP operations like drill-down, slicing and dicing to explore multi-dimensional views of healthcare data. Utilize tools such as SQL , Excel , Power BI , Tableau , and Python libraries ( Matplotlib , Seaborn ). 3. Data Visualization & Reporting Create intuitive dashboards and reports that communicate KPIs, patient outcomes, and performance metrics to various stakeholders. Design and develop visual representations (bar charts, heatmaps, flow diagrams) to make complex data accessible and actionable. Ensure clarity, accuracy, and transparency in all visual communications using tools like Power BI , Tableau , D3.js , Matplotlib , and Seaborn . Example Datasets Youll Work With: Clinical Data : EHRs, medication records, patient history. Operational Data : Facility management, staff allocation. Financial Data : Insurance claims, billing, cost metrics. Outcome Data : Patient satisfaction, readmission rates, treatment efficacy. Qualifications: Bachelors or Masters in Computer Science, Data Science, Health Informatics, Biostatistics, or a related field. 3–6 years of experience in healthcare data analytics or a related domain. Proficiency in SQL, Python, and data visualization platforms (Power BI, Tableau). Experience working with large healthcare datasets and machine learning models. Strong understanding of healthcare operations and data privacy standards (e.g., HIPAA).

This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What youll do: Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. What to Have for this position. Must have Skills. Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Masters degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills: Curiosity & Willingness to Learn : Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills : Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail : Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills : Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.

Role Summary WSP is seeking an enthusiastic, creative, and delivery-oriented candidate who has practical experience with Environment Data Management service. As an Environment Data Management Consultant you will assist with project teams to set-up pre-sampling database structure to Contaminated lands, Environmental Planning, and Environmental Impact Assessment, and other environmental investigations projects. Assess and optimize our environmental data management system and support environmental projects through effective data management, analysis, and visualization. The successful candidate will collaborate with environmental scientists, engineers, and GIS specialists to ensure our data processes are accurate, efficient, and future-ready . If you have a strong technical background in data management, an eye for system optimization, and a vision for the future of environmental data delivery , we’d love to hear from you. Responsibilities Data Control and Tabulation Work with project teams to set-up pre-sampling database structure (typically based on EQuIS) to incorporate field and laboratory data Configure EQuIS Enterprise Portals for project site Coordinate with analytical laboratories on the delivery of analytical data EDDs through Laboratory Information Management Systems Perform quality assurance/quality control checks on analytical data to confirm compliance with prescribed thresholds and limits Provide tabular output of laboratory and field data in accordance with project requirements System Assessment and Modernization Assess current data management workflows and systems to identify strengths, areas for enhancement, and opportunities to improve data quality and efficiency. Identify automation opportunities to reduce manual effort and improve data accuracy. Research and recommend emerging technologies (e.g., cloud solutions, machine learning applications, or improved visualization tools) for environmental data management. Teamwork and Collaboration Collaborate with environmental scientists, engineers, hydrogeologists, and GIS specialists to proactively support project data needs. Provide technical support and training to project teams on best practices for data management and visualization. Assist in developing project budgets and estimates for data-related components. Possess good communication skills and the ability to collaboratively develop solutions to meet the needs of our multidisciplinary group Team player that enjoys working collaboratively with multiple disciplines and promoting data tools and capabilities within our technical group Coordinate with GIS Technicians on the development of laboratory and field data (e.g. exceedance plots, plan view and/or cross-sectional figures of distribution using ArcGIS or similar platforms) Reporting and Documentation Support preparation of data summaries, and project reports for environmental assessments and regulatory submissions. Maintain data governance standards, ensuring accuracy, consistency, and compliance with project and industry guidelines. Organize and manage project data files, metadata, and version control processes. Promote the efficient use of data tools to ther technical specialists through presentations and webinars Key Competencies / Skills: Mandatory Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Environmental Science, Geographic Information Systems (GIS), or a related field. Experience: 5–8 years of experience in environmental data management and/or data science, with at least 3 years focused on system assessment and process improvement. Technical Expertise: Proficiency with EarthSoft’s EQuIS (desktop and online). Familiarity with EarthSoft’s Suite of Modules (Sample Planning Module, Collect, and Live) Strong SQL skills and experience working with relational databases (PostgreSQL, SQL Server, MySQL, etc.). Proficiency in Microsoft O365 (Excel, Access, SharePoint, OneDrive, Word). Familiarity with data visualization and analytics tools such as Power BI, Tableau, Python (pandas, matplotlib), or R (ggplot, tidyverse). Background in automating data workflows using Python, R, or SQL scripting. Key Competencies Data Quality & Governance: Strong understanding of data validation, quality control, and regulatory compliance in environmental projects. Problem-Solving & Analytical Skills: Ability to interpret complex environmental datasets and develop meaningful insights to address project needs and within the project scope. Possess good communication skills and the ability to collaboratively develop solutions to meet the needs of our multidisciplinary group Communication & Collaboration: Strong written and verbal communication skills to explain data methodologies and findings to technical and non-technical stakeholders. Team player that enjoys working collaboratively with multiple disciplines and promoting the efficient use of data tools within our technical group to meet project needs. Independence & Adaptability: Ability to work effectively both independently and as part of a multidisciplinary team in a fast-paced environment.

3+ years experienced engineer who has worked on GCP environment and its relevant tools/services. (Big Query, Data Proc, Data flow, Cloud Storage, Terraform, Tekton , Cloudrun , Cloud scheduler, Astronomer/Airflow, Pub/sub, Kafka, Cloud Spanner streaming etc) 1 or 2 + years of strong experience in Python development (Object oriented/Functional Programming, Pandas, Pyspark etc) 1 or 2 + years of strong experience in SQL Language (CTEs, Window functions, Aggregate functions etc)

We are hiring for Python Developer for Gurugram location. Required Skills:- Python, Django, Node.js and MongoDB Note:- Immediate Joinner only

#ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

About Client Hiring for One of Our Multinational Corporations! Job Title : Python Developer Qualification : Any Graduate or Above Relevant Experience : 5 to 12 Years Must Have Skills : 1. Python 2. Pandas 3. Numpy 4. Flask/Django 5. Docker 6. SQL Roles and Responsibilities : 1. Design, develop, test, and deploy Python-based applications. 2. Work with libraries such as Pandas and NumPy for data manipulation and analysis. 3. Develop RESTful APIs using Flask or Django . 4. Containerize applications using Docker for deployment in cloud or on-premise environments. 5. Interact with SQL databases for data storage, retrieval, and optimization. 6. Write clean, maintainable, and efficient code following best practices. 7. Collaborate with front-end developers, data engineers, and DevOps teams to deliver complete solutions. 8. Troubleshoot and resolve technical issues as they arise. Location : Bangalore,Pune,Hyderabad CTC Range : Upto 30 LPA (Lakhs Per Annum) Notice period : 90 days Mode of Interview : Virtual Mode of Work : Work From Office [MADHUSHREE C] [HR Recruiter] Black and White Business Solutions Pvt Ltd Bangalore, Karnataka, INDIA. Direct Number: 08067432410 | WhatsApp 8431051997 | madhushree.c@blackwhite.in | www.blackwhite.in

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.