About Us: Website: https://www.cognitioanalytics.com/ Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitio’s Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients. Ideal qualifications, skills and experiences we are looking for are: - We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 1 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch. Strong hands-on experience in GenAI/ NLP. Either Gen AI or NLP experience is mandatory. Well-versed knowledge on how LLMs work. Well equipped with Prompt engineering and prompt tuning. Work with commercial APIs to efficiently achieve tasks. Pyspark experience is highly valuable. Competitive coding experience (LeetCode) is highly valuable. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning. "Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset." Show more Show less

Job Title: Azure Data Engineer Education Qualification: • Bachelor’s degree in a Quantitative field or relevant Graduate degree. • 3+ years of experience in a related role. Key Responsibilities: 1. Cloud Platform Expertise: o Proficient with Microsoft Azure and its services including: ▪ Azure Storage ▪ Azure Open AI ▪ Azure Key Vault 2. Azure Databricks Proficiency: o Extensive experience in building pipelines, clusters, and configurations. o Skilled in delta sharing, Unity catalogs, authentication to storage accounts from Databricks, and Databricks administration. 3. Azure Data Factory: o Solid understanding of Azure Data Factory for orchestrating and automating data movement and transformation. 4. Design Architecture: o Basic knowledge of design architecture principles and ability to apply them in cloud-based solutions. 5. Troubleshooting and Debugging: o Efficient in troubleshooting issues and debugging complex problems in data pipelines and environments. 6. Programming Skills: o Strong proficiency in SQL, Python, and PySpark. These are critical for data manipulation, analysis, and pipeline creation. 7. Attention to Detail: o Providing precise solutions and recommendations to clients for data migration and data ingestion strategies from DEV to PROD. 8. Environment Maintenance: o Maintaining the environments for various markets to ensure that all product teams can run their code smoothly and without interruptions. 9. Code Optimization and Refactoring: o Continuously improving code quality through optimization and refactoring for better performance and maintainability. Additional Skills: Strong analytical and problem-solving skills. •Excellent communication and teamwork abilities. •Ability to manage multiple tasks and projects simultaneously Show more Show less

Engineering Director About Cognitio Analytics About Us: Website: https://www.cognitioanalytics.com/ Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitio’s Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients. Position Overview We are seeking an experienced Engineering Director to lead our development and testing teams while collaborating closely with our analytics and data engineering departments. This role will be pivotal in driving the creation of high-quality software products and applications for our customers. The ideal candidate will bring a blend of technical expertise, leadership capabilities, and a forward-thinking approach to AI implementation. Key Responsibilities Team Leadership : Lead, mentor, and develop teams of software engineers, QA specialists, and technical staff while fostering a culture of innovation and engineering excellence. Provide technical guidance to team for architectural and design decisions and review these with architects and software developers. Product Development : Oversee the entire software development lifecycle, from conceptualization to deployment, ensuring products meet customer needs and business objectives. Demonstrate leadership in building software as products. Cross-functional Collaboration : Work closely with analytics and data engineering teams to integrate data driven features and insights into software solutions. Technical Strategy : Define and implement technical roadmaps, architecture decisions, and technology selection that align with company goals. Demonstrate ability to build software solutions as multitenant products for multiple customer deployments. AI Integration : Champion the adoption of artificial intelligence and generative AI technologies in our development environment and product suite Quality Assurance : Establish robust testing frameworks and quality standards to ensure reliable, secure, and performant software Process Optimization : Implement modern engineering practices including Agile methodologies, DevOps, and continuous integration/continuous deployment (CI/CD) Customer Focus : Translate customer requirements into technical specifications and ensure solutions address market needs Innovation Leadership : Stay ahead of industry trends, particularly in AI and emerging technologies, to maintain competitive advantage Required Qualifications Bachelor’s degree in computer science, Software Engineering, or related field; master’s degree preferred 12+ years of software engineering experience with at least 5 years in leadership roles Proven track record of successfully delivering complex software products Strong understanding of modern software development practices, including Agile methodologies, CI/CD pipelines, and DevOps approaches Experience working with data engineering and analytics teams to build data-driven applications Demonstrated experience of setting up and running product development processes, customer release planning, Blue-Green deployment etc. Demonstrated knowledge of AI and generative AI technologies and their practical application in software products and for software engineering teams. Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders Strong problem-solving abilities and strategic thinking Preferred Qualifications Experience in SaaS product development and cloud-native architecture Knowledge of data science workflows and machine learning operations (MLops) Background in implementing AI-driven features in commercial software products Experience with modern technology stacks (React, Node.js, Python, etc.) Understanding of security best practices and compliance requirements Prior experience in leading distributed, multi-disciplinary engineering teams History of implementing efficient software development processes and tooling What We Offer Opportunity to shape the direction of innovative AI-powered products Competitive salary and comprehensive benefits package Professional development and continuous learning opportunities Collaborative and innovative work environment Chance to work with cutting-edge technologies Flexible work arrangements "Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, colour, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset." To Apply : Please submit your resume and a cover note explaining your interest in the position and how your experience aligns with our requirements. 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Lead Data Us Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitios Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients. Ideal qualifications, skills and experiences we are looking for are : We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. Minimum of 6 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings). Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch. Experience of leading a team and handling projects with end-to-end ownership is a must. Deep understanding of ML and Deep Learning is a must. Basis NLP experience is highly valuable. Pyspark experience is highly valuable. Competitive coding experience (LeetCode) is highly valuable. Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. Experience of building & deploying machine learning models in cloud environment : Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc. Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance. Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. Excellent verbal and written communication skills. Proven experience leading data science projects, managing timelines, and delivering results within deadlines. Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning. Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our clients data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. (ref:hirist.tech) Show more Show less

About Us Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitios Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. Description These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our Description : We are seeking motivated and dynamic engineers having 3-6 years of experience to join our team as Full Stack Software Developer. This is an excellent opportunity for graduates with a strong foundation in programming and database management to begin their careers with a company that values innovation and professional growth. Key Responsibilities Develop, test, and deploy robust, scalable web applications using Next.js for front-end development, Adonis.js for back-end development. Experience with distributed systems, algorithms, and relational databases like PostgreSQL or MySQL. Develop and implement interactive data visualizations using WIX library. Familiarity with Azure cloud development principles and version control tools like Git/Bitbucket. Collaborate with the development team to design, develop, and implement software solutions. Design and implement RESTful APIs to facilitate seamless communication between front-end and back-end systems, ensuring efficient data exchange and integration. Participate in code reviews, debugging, and troubleshooting to ensure high-quality software delivery. Ensure that all applications adhere to security standards and best practices, including data encryption, secure authentication, and vulnerability management to protect against potential threats. Assist in gathering and analyzing user requirements to contribute to the design of new features and functionalities. Engage in continuous learning development and with emerging technologies, frameworks, and best practices in software development, and apply this knowledge to your work. Take ownership of assigned tasks and projects, ensuring timely delivery, code quality and proactively communicating progress and challenges to the team. Contribute to the maintenance and optimization of existing systems by identifying and addressing performance bottlenecks, security vulnerabilities, and other technical Skills and Qualifications : Educational Qualification: B.Tech. or equivalent degree in Computer Science, Information Technology, or a related field. Programming languages : Proficiency in languages such as Adonis.js, Next.js, JavaScript. Database Knowledge : Hands-on experience with SQL and databases like PostgreSQL/MySQL. Visualization tool : Good exposure with WIX library. Aptitude : Strong problem-solving skills, with a good aptitude for logical thinking. Initiative : A self-starter who is highly motivated and proactive in learning. Communication : Excellent communication skills and the ability to work both independently and in a team Qualifications : Basic understanding of software development methodologies (Agile, Scrum). Knowledge of popular frameworks like Angular, React.js, Nest.js, D3 chart library, data bricks is a plus. Any cloud platform experience is an advantage, with Azure being particularly desirable. Familiarity with testing frameworks (Jest, Mocha, Jasmine). (ref:hirist.tech) Show more Show less

About Cognitio Analytics About Us: Website: https://www.cognitioanalytics.com/ Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitio’s Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients. Position Overview We are seeking an experienced Engineering Director to lead our development and testing teams while collaborating closely with our analytics and data engineering departments. This role will be pivotal in driving the creation of high-quality software products and applications for our customers. The ideal candidate will bring a blend of technical expertise, leadership capabilities, and a forward-thinking approach to AI implementation. Key Responsibilities Team Leadership : Lead, mentor, and develop teams of software engineers, QA specialists, and technical staff while fostering a culture of innovation and engineering excellence. Provide technical guidance to team for architectural and design decisions and review these with architects and software developers. Product Development : Oversee the entire software development lifecycle, from conceptualization to deployment, ensuring products meet customer needs and business objectives. Demonstrate leadership in building software as products. Cross-functional Collaboration : Work closely with analytics and data engineering teams to integrate data driven features and insights into software solutions. Technical Strategy : Define and implement technical roadmaps, architecture decisions, and technology selection that align with company goals. Demonstrate ability to build software solutions as multitenant products for multiple customer deployments. AI Integration : Champion the adoption of artificial intelligence and generative AI technologies in our development environment and product suite Quality Assurance : Establish robust testing frameworks and quality standards to ensure reliable, secure, and performant software Process Optimization : Implement modern engineering practices including Agile methodologies, DevOps, and continuous integration/continuous deployment (CI/CD) Customer Focus : Translate customer requirements into technical specifications and ensure solutions address market needs Innovation Leadership : Stay ahead of industry trends, particularly in AI and emerging technologies, to maintain competitive advantage Required Qualifications Bachelor’s degree in computer science, Software Engineering, or related field; master’s degree preferred 12+ years of software engineering experience with at least 5 years in leadership roles Proven track record of successfully delivering complex software products Strong understanding of modern software development practices, including Agile methodologies, CI/CD pipelines, and DevOps approaches Experience working with data engineering and analytics teams to build data-driven applications Demonstrated experience of setting up and running product development processes, customer release planning, Blue-Green deployment etc. Demonstrated knowledge of AI and generative AI technologies and their practical application in software products and for software engineering teams. Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders Strong problem-solving abilities and strategic thinking Preferred Qualifications Experience in SaaS product development and cloud-native architecture Knowledge of data science workflows and machine learning operations (MLops) Background in implementing AI-driven features in commercial software products Experience with modern technology stacks (React, Node.js, Python, etc.) Understanding of security best practices and compliance requirements Prior experience in leading distributed, multi-disciplinary engineering teams History of implementing efficient software development processes and tooling What We Offer Opportunity to shape the direction of innovative AI-powered products Competitive salary and comprehensive benefits package Professional development and continuous learning opportunities Collaborative and innovative work environment Chance to work with cutting-edge technologies Flexible work arrangements "Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, colour, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset." Show more Show less

Company Description Cognitio Analytics, founded in 2013, is a leading provider of AI/ML driven productivity improvement solutions. Our Smart Operations Solutions and Total Rewards Analytics Solutions help large companies enhance their digital operations and maximize human capital investments. We have been recognized with awards from the Business Process Intelligence Challenge and the Celonis Hackathon. Our Fortune 100 clients rely on our Total Rewards Analytics to drive key decisions. We pride ourselves on our innovative work environment and are certified as a "Great Place to Work". Role Description This is a full-time hybrid role for a Senior Medical Coder located in Gurugram, with some work-from-home flexibility. The Senior Medical Coder will perform tasks including reviewing and analyzing medical documentation, applying appropriate medical codes, and ensuring accuracy in coding records. The individual will collaborate with healthcare providers, maintain compliance with regulatory standards, and participate in quality assurance activities. Additional tasks may involve training junior coders and staying updated with coding guidelines. Qualifications Proven Coding Experience and proficiency in Medical Coding RHIT,AAPC or AHIMA certification and knowledge of Health Information Management Familiarity with Medical Terminology and its application in coding Attention to detail and ability to ensure coding accuracy Strong understanding of regulatory compliance standards Excellent communication and collaboration skills Ability to work in a hybrid model with flexibility Experience in the healthcare industry is beneficial 5+ year of experience in medical coding. Graduate from doctor or similar medical science background. Interested can DM or send resume on katyyasingh@gmail.com. Show more Show less