74 Text Analytics Jobs

As a Senior Project Manager - Program Implementation at our Gandhinagar office, you will play a crucial role in leading complex projects across various domains, including call center operations, analytics implementations, software development, and strategic business initiatives. Your responsibilities will include overseeing concurrent projects, coordinating third-party vendor implementations, and ensuring alignment with Etech's business objectives and client success metrics. You will lead software application development projects using Agile/Scrum methodologies, manage the implementation of speech and text analytics solutions, and coordinate system integrations between contact center platforms, CRM systems, and analytics platforms. Additionally, you will conduct comprehensive requirements gathering sessions, develop detailed Project Design Documents (PDD), and facilitate executive-level project reviews. In your role, you will mentor Assistant Project Managers and Project Managers, lead cross-functional teams, and conduct performance evaluations to foster collaboration and professional development. You will establish project management standards, implement project governance frameworks, and maintain comprehensive project documentation using enterprise tools. Your technical knowledge should include a strong understanding of contact center technologies, experience with analytics platforms and tools, knowledge of speech and text analytics solutions, familiarity with software development methodologies, and experience with cloud platforms and SaaS implementations. Proficiency in Project Management Information Systems, project management certifications, and advanced skills in Microsoft Office Suite are also required. You should possess exceptional verbal and written communication skills, strong analytical and problem-solving capabilities, and the ability to manage multiple complex projects simultaneously. Demonstrated leadership skills, cultural sensitivity, and the ability to work effectively across global teams and time zones are essential for success in this role. The primary office-based role may require extended computer work, virtual meetings, and occasional travel for client implementations or vendor meetings. You should be able to analyze project data, financial metrics, and make data-driven decisions while demonstrating strong judgment and decision-making skills. If you have a Bachelor's degree in Engineering, Computer Science, Information Technology, Business Administration, or equivalent professional experience, along with 7+ years of project management experience in contact center technology environments, we encourage you to apply for this exciting opportunity. Experience with telephony systems, speech and text analytics tools, and business intelligence platform implementations will be advantageous. Join our team and be part of a dynamic work environment that values work-life balance, rewards & recognition, and opportunities for professional growth and development.,

The role aims to establish the strategic direction for the team, assuming responsibility for the overall Insights and analysis discipline in the market. You will collaborate with various channels to ensure an integrated response to people-based marketing objectives. We are in search of an experienced Advanced Analytics Senior Manager to become a part of our dynamic team. This position is dedicated to utilizing advanced analytics techniques, which include machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to facilitate data-driven decision-making within the retail/CPG domain. The ideal candidate should have a solid quantitative background, a keen interest in translating complex data into actionable insights, significant experience in leading mid-to-large sized teams, and the capability to design, evaluate, and implement RFPs, POCs, approaches, and frameworks. Responsibilities: - Develop, implement, and manage advanced analytical models leveraging machine learning algorithms and GenAI applications. - Apply various advanced analytics techniques to reveal trends, patterns, and insights from extensive and intricate datasets. - Work closely with cross-functional teams to identify business requirements and provide data-driven solutions. - Design visually appealing dashboards and reports to communicate findings to stakeholders. - Continuously assess and enhance existing analytics methodologies and models for improved accuracy and performance. - Keep updated on industry trends and advancements in analytics and machine learning to foster innovation within the team. - Mentor junior team members and contribute to knowledge sharing across the organization. Basic Qualifications: - Bachelor's or Master's degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. - Over 10 years of experience in advanced analytics, data science, machine learning, Generative AI, or a related field. - Profound experience in quantitative modeling, predictive analytics, text analytics, and forecasting methodologies. - Proficiency in SQL (or Google BigQuery), Python, and visualization tools such as Tableau/PowerBI. - Familiarity with the Retail/CPG/Tech industry and exposure to product, transaction, and customer-level data. - Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, coupled with an inquisitive mindset. Desired Skills: - Proficiency in various advanced analytics techniques, including Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Text Analytics. - Extensive knowledge of machine learning techniques, encompassing Supervised Learning, Unsupervised Learning, and Reinforcement Learning. - Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. - Proficiency in data visualization tools like Tableau or Power BI. - Strong skills in data management, structuring, and harmonization to support analytical requirements. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent,

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. Your Role: - You should have 4-5 years of experience with hands-on experience in data science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP, and computer vision, preferably in the Life Sciences domain. - Proficiency in data mining and data cleansing techniques is required. - Excellent understanding and hands-on experience in building Deep-learning models for text & image analytics using tools such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc. - Proficient in coding in common data science languages & tools like R, Python, Go, SAS, Matlab, etc. - Experience with common data science toolkits such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch, etc. - Solid understanding and hands-on experience of data science and machine learning techniques & algorithms for supervised and unsupervised problems, such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM), etc. - Familiarity with common data science frameworks like Tensorflow, Keras, PyTorch, XGBoost, H2O, etc. - Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark, etc. Your Profile: - You should hold a Post-Graduate degree (M.E/ M.Tech/ M.Sc, etc) with experience in deploying models in production. - Experience in data management and visualization tasks. - Excellent understanding and hands-on experience in NLP and computer vision. - Familiarity with database systems of SQL and NoSQL. - Familiarity with data visualization tools such as Tableau, MS PowerBI, etc. - Ability to think creatively to solve real-world business problems, possessing critical thinking and problem-solving capabilities. - Data-oriented personality with hands-on experience in GenAI. - Good presentation skills with proficiency in verbal and written communication. - Knowledge or hands-on experience of exposure to large-scale datasets and respective tools & frameworks like Hadoop, Pyspark, etc. - Knowledge or hands-on experience in the deployment of models in production & deployment. What You Will Love About Working Here: - We recognize the significance of flexible work arrangements to provide support, offering remote work and flexible work hours to maintain a healthy work-life balance. - Your career growth is at the heart of our mission, with an array of career growth programs and diverse professions crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in over 50 countries, Capgemini's strong over 55-year heritage is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. The company delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem.,

As a Speech Analyst at Observe.AI, you will play a crucial role in analyzing spoken language data to derive valuable insights. Your responsibilities will include configuring and automating quality assurance processes, collaborating with cross-functional teams to enhance speech-based applications, and improving business processes through interaction analytics. Additionally, you will be involved in resolving issues, measuring value, and delivering key business metrics to customers. Your primary tasks will involve understanding customer quality evaluation forms, configuring trackable points of interest into the dashboard, automating scoring using speech analytics tools, and providing thought leadership to enhance speech analytic configurations. You will also work closely with customers to learn their business processes, identify areas for improvement using interaction analytics, and execute strategic analytical objectives. Anticipating and diffusing potential issues, providing swift resolution to customer problems, and tying unique areas of interest to measurable ROI are essential aspects of this role. By building speech-based queries, automating QA processes, and delivering playbooks and thought leadership, you will help customers glean insights and drive positive business impact. To be successful in this role, you should have experience with speech analytic tools, a degree in Linguistics, Data Science, Computer Science, or a related field, and understanding of call center KPIs. Strong analytical skills, effective communication abilities, and the capacity to work independently and as part of a team in a technology-driven environment are key requirements. Knowledge of GenAI prompts for query building will be advantageous. Observe.AI offers competitive compensation, benefits, and perks, including medical insurance, leaves as per Karnataka S&E Act, generous holidays, learning & development opportunities, and a supportive work culture. The company is committed to fostering an inclusive environment that values diversity and respects all individuals, encouraging talented people from all backgrounds to apply and shape the future of Observe.AI.,

You will collaborate with business, platform, and technology stakeholders to understand the scope of projects. Your role will involve performing comprehensive exploratory data analysis at various levels of granularity to derive inferences for further solutioning, experimentation, and evaluation. You will design, develop, and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, and other relevant technologies. It will be essential to continuously focus on providing business value while ensuring technical sustainability. Additionally, you will promote and drive adoption of cutting-edge data science and AI practices within the team while staying up to date on relevant technologies to propel the team forward. We are seeking a team player with 4-7 years of experience in the field of data science and AI. The ideal candidate will have proficiency in programming/querying languages like Python, SQL, PySpark, and familiarity with Azure cloud platform tools such as Databricks, ADF, Synapse, Web App, among others. You should possess strong work experience in text analytics, NLP, and Generative AI, showcasing a scientific and analytical thinking mindset comfortable with brainstorming and ideation. A deep interest in driving business outcomes through AI/ML is crucial, alongside a bachelor's or master's degree in engineering or computer science with or without a specialization in the field of AI/ML. Strong business acumen and the desire to collaborate with business teams to solve problems are highly valued. Prior understanding of the business domain of shipping and logistics is considered advantageous. Should you require any adjustments during the application and hiring process, we are happy to support you. For special assistance or accommodations to use our website, apply for a position, or perform a job, please contact us at accommodationrequests@maersk.com.,

As an MLOps Engineer at Neolytix, you will play a crucial role in developing and implementing intelligent claims analysis, prioritization, and denial resolution models for our AI-driven healthcare claims management application. This involves working closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) to optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and enhance claim resolution efficiency. Your responsibilities will include designing and implementing AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization. You will be tasked with developing and fine-tuning LLMs and SLMs to increase automation in claims management workflows, preprocessing and structuring claims data for effective model training, as well as deploying, managing, and scaling AI models using Azure-based cloud services. Monitoring model performance, retraining, refining algorithms, ensuring compliance with HIPAA and PHI security standards, and documenting technical solutions will also be part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in computer science, AI/ML, Engineering, or a related field, along with at least 3 years of experience in AI/ML engineering, preferably in healthcare claims automation. Proficiency in Python, strong knowledge of LLMs, NLP, and text analytics for claims processing, experience with Azure ML services, and familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes are essential. Additionally, possessing strong analytical, problem-solving, and teamwork skills is crucial for success in this role. Preferred skills for this position include experience with AI-driven denial resolution and automated claims adjudication, understanding of EHR/EMR systems and insurance reimbursement processes, as well as familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments. Joining Neolytix offers you a competitive salary and benefits package, an opportunity to contribute to innovative AI solutions in the healthcare industry, a dynamic and collaborative work environment, and opportunities for continuous learning and professional growth.,

The metrics insights and analytics team at LTIMindtree is looking for a talented individual to join them in building dashboards and analytical solutions using AI ML based on business requirements. Your role will involve providing predictive and prescriptive analytics based on various delivery execution parameters, as well as offering actionable insights to users. You will be responsible for automating processes using new-age machine learning algorithms. Key Responsibilities: - Conceptualize, maintain, and automate dashboards as per the requirements. - Automation of existing processes to enhance productivity and time to market. - Enable decision making and action plan identification through metrics analytics. - Conduct training sessions and presentations. - Collaborate with various stakeholders to understand business problems and provide solutions. - Introduce new age solutions and techniques into the way of working. Skills Required: - Minimum 2-5 years of experience with power BI dashboards/TABLEAU and python. - Minimum 2-5 years of experience in AI/ML development. - Strong analytical skills with a focus on solutioning and problem-solving, along with an inclination towards numbers. - Experience working with Text analytics and NLP. - Proficiency in data cleansing, pre-processing data, and exploratory data analysis. - Knowledge of Azure ADF, Excel MACRO, and RPA will be advantageous. - Ability to perform feature engineering, normalize data, and build correlation maps. - Proficient in SQL. - Hands-on experience in model operationalization and pipeline management. - Capability to work effectively with global teams. - Good presentation and training skills. About LTIMindtree: LTIMindtree is a global technology consulting and digital solutions company that helps enterprises across industries to reimagine business models, accelerate innovation, and maximize growth through digital technologies. With a team of nearly 90,000 professionals in over 30 countries, LTIMindtree combines domain and technology expertise to drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Visit www.ltimindtree.com for more information.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.

1. Organize training programs on Planning & Installation for all new dealers. 2. Maintain the profitability as per the costing furnished by sales team. 3. Handle all major projects and complete within the agreed timeline. 4. Visit all dealer jobs periodically and maintain the quality of Installation as per the standards. 5. Train and develop the dealer team on all new products introduced 6. Maintain good PR with all key customers during the installation stage and collect satisfaction letters. 7. Provide the necessary cost variance reports for all major jobs executed. 8. Release timely work orders to dealers on NAD / Key customer jobs. 9. Submit necessary documentations and bills to customers and facilitate timely collection. 10. Furnish continuous feedback on the product quality to the Product Managers and contribute for improvement. 11. Support Channel Partners with necessary spares during the pre commissioning failures 12. Prepare pre commissioning failure reports to Quality / Factory and get necessary credit to branch. 13. Claim timely insurance on damaged machines delivered at warehouse/sites and follow up for necessary settlement. 14. Ensure to get credits for spares issues during pre-commissioning failure from factory 15. Ensure there are no escalations, in case of any escalations resolve the same at earlie Key Responsibilities: Short Info Posted: 0 day(s) ago Location: Jaipur Qualifications: BE Experience: 3 Years - 0 Months To 6 Years - 0 Months

To lead a small team and ensure the seamless execution of delegate registration and data management for the Zak World of Fa ades conference series. This role is pivotal in delivering a high-quality registration experience for attendees, maintaining accurate data records, and supporting the overall success of the event operations. Qualification: Graduate. Preferably a PGDM in Events Management. Should have handled RSVP for 2-3 years. Fluency in spoken English is a must. . Please make sure to mention the title of the job position youre applying for in the subject line of your email.

As a Data Science professional with 3 to 8 years of experience, you will be responsible for utilizing your expertise in various aspects of Data Science such as Machine Learning, Text Analytics, Regression, Data Classification, and Prediction. Your proficiency in tools like Python, Power BI, SQL, and Tableau will be crucial for analyzing and interpreting data effectively. Additionally, you will work with platforms like H2O and DataRobot to enhance the analytical capabilities. Moreover, your role will involve deploying analytics code using platforms such as Azure, AWS, and on-premises methods. This position offers an opportunity to work on diverse projects and contribute to the development of innovative solutions. If you are passionate about Data Science and eager to apply your skills in a dynamic environment, we welcome you to join our team.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Consulting Skills: oHypothesis-driven problem solvingoGo-to-market pricing and revenue growth executionoAdvisory, Presentation, Data StorytellingoProject Leadership and Execution Additional Responsibilities: Typical Work Environment Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact Qualification: Degree in Data Science, Computer Science with data science specialization Master’s in business administration and Analytics preferred Technical and Professional Requirements: Technical Skills: oProficiency in programming languages like Python and R for data manipulation and analysis oExpertise in machine learning algorithms and statistical modeling techniques oFamiliarity with data warehousing and data pipelines oExperience with data visualization tools like Tableau or Power BI oExperience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. Preferred Skills: Technology-Big Data-Text Analytics

Returnship- Hiring Data science professionals Experience: 3 Years - 8 Years Location: Pan India JD: Data science- ML, Text analytics, Regression, Data classification and prediction, API’s Software’s:- python , power BI, sql, tableau. Platforms: H2O, Data robot Analytics code Deployment using Azure, AWS, on prem methods etc.

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

We are seeking a highly skilled and motivated GenAI benigner with a strong background in Natural Language Processing (NLP), Text Analytics, and Deep Learning. The successful candidate will join our team and contribute to cutting-edge research and development in the field of Generative AI. Roles & Responsibilities: Conduct applied research activities focused on Natural Language Processing, Text Analytics, and Deep Learning. Develop and fine-tune Large Language Models (LLMs) for various NLP tasks. Explore and implement Domain Adaptation techniques to enhance model performance in specific areas. Work on Retrieval-Augmented Generation (RAG) models and methodologies. Collaborate with cross-functional teams to integrate research outcomes into products and services. Publish research findings in Top-tier conferences and journals. Stay updated with the latest advancements in NLP, Deep Learning, and related fields. Qualifications Educational qualification: Master s or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Experience:

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Job Title: Senior AI Consultant Experience Level: 8-10 years Location: Gurgaon Job Description: We are seeking a seasoned professional to enable RAG-based use cases with expertise in fine tuning and prompt engineering. In this role, you will translate business needs into actionable RAG solutions. design tailored workflows, and drive user training all while ensuring optimal performance and scalability of AI applications. Key Responsibilities: Business Requirements Analysis: Interpret business needs and convert them into structured RAG use cases. Solution Design & Consulting: Advise on RAG workflows and recommend best practices for platform configuration without heavy coding. Platform Implementation: Configure and customize the SaaS platform to meet project-specific goals. Fine Tuning & Prompt Engineering: Optimize LLMs for enhanced chatbots, content generation, and text analytics. User Training & Continuous Improvement: Lead onboarding sessions and drive ongoing enhancements to maximize ROI. Required Skills: Strong background in AI/ML with hands-on experience in generative AI and RAG methodologies. Working Knowledge of Agentic AI & MCP concepts. Proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch. Experience with cloud platforms (preferably Azure) and MLOps tools such as Docker, Kubernetes, and CI/CD. Excellent communication and consultative skills to bridge tech and business needs. Preferred Qualifications: Proven production-grade deployment of RAG solutions. Experience with large-scale datasets and vector databases (e.g., FAISS, Milvus). Solid grasp of AI ethics and responsible AI practices.

Business Overview The team works on data collected from different business domains, such as, Rewards, Health, Assessments, HR, McLagan, Radford, and continue to explore avenues for the creation of new analytical products that can become future revenue streams. The team uses advanced applications along with statistical/data-science know-how to do hypothesis testing, prescriptive analysis and predictive analytics on key business/client questions using tools like Python, SQL, Databricks. Insights are reported using visualization tools like Tableau, Power BI, Power Point, or VBA-powered Excel dashboards. The team also uses its skills to support consulting studies/products serviced under the HCS People and Performance Analytics banner. Work Description/Role Summary: A colleague as part of the Rewards Innovation Team may get unique opportunities to work for Aon Clients worldwide leaders, and contribute towards Aon Strategy. At the same time, utilizing own skills set, one can touch multiple lives across the globe, bring impactful solutions in multiple domains and transform business. It is a unique opportunity to be part of a small team and get visibility amongst Aon Leadership of both onshore and offshore. Nevertheless, the opportunity will open doors with work on the advanced analytics (such as, NLP (text analytics), Machine Learning, etc.) Role overview: A colleague must be adaptive of acquiring new skills within a short time period based on the business needs. One must have analytical mindset to perform data analysis and data visualization on large data sets. Skills of Problem solving and automation using coding will help a colleague to explore new opportunities, bring efficiency and innovative solutions. The ability to present to senior leaders and create client ready reports are needed. Colleague should have the knowledge of creating SQL queries and perform other database operations (such as, creating views and procedures). Skills Knowledge Requirements: Basic knowledge of VBA, Tableau/Power BI or Python are must. Intermediate knowledge of Statistics, SQL, and MS applications are required. Knowledge of any programming language is preferred. Good communication skills, Logical reasoning, Analytical Abilities, Data Interpretation Mandatory Skills Needs to be comfortable working in an un-structured environment since this role requires working with exploratory projects which do not have clear-cut mode-of-operation or defined start end objectives. Need a never-give-up attitude since the research with require experimenting with multiple failed approaches until the right successful approach is discovered. High Data Acumen with good eye for detail and keen sense to seek out patterns. Logical reasoning ability is required with a drive for problem solving. Ability to understand complex requirements and relay complex thoughts across teams is a must. 2563945