We are seeking an experienced and hands-on HR leader to build and lead our India Human Resources (HR) function. This is an individual contributor role to start, ideal for someone who thrives in both strategic and operational capacities. As the business grows and needs evolve, this role offers the opportunity to build and lead a local team. You will be responsible for the full spectrum of HR responsibilities, including recruiting, HR operations, HR business partnership, compensation & benefits, compliance, and more, while laying the foundation for a scalable, high-impact HR organization. This role requires a strong balance of strategic thinking and operational doer. You’ll collaborate closely with global and local business leaders, including dotted-line stakeholders across multiple functions and third-party providers, to ensure alignment of HR practices and people strategies. You will play a key role in driving consistency across locations, supporting shared goals, and fostering an engaging, high-performing culture rooted in our company values. Key Responsibilities People Strategy & Business Partnership Serve as a trusted advisor to leaders, helping align people strategy with business goals. Provide proactive coaching and counsel on organizational design, change management, team dynamics, and talent development. Handle complex and sensitive associate relations issues, conduct effective investigations, provide guidance to managers, and leading actions. Talent Acquisition Lead recruitment efforts for all India-based roles, from entry-level to senior positions. Develop talent pipelines and partnerships that support scaling in India. Local execution of employer branding efforts as a key stakeholder, partnering with global and regional teams to attract top talent and strengthen brand presence in India. In partnership with the Talent Acquisition Director, manage third-party relationships with external recruitment agencies and third-party providers to ensure they align with the company's standards and goals. HR Operations & Compliance Serve as first point of contact for associates regarding their HR and Payroll related questions leveraging the global HR teams to escalate for resolution. Partner with the global HR operations team to execute established processes, including onboarding, offboarding, maintaining associate records, and supporting policy creation, communication and implementation. Facilitate, communicate, and track time off and leave of absence programs to ensure compliance and support for associates. Support and assist associates and leaders with HR systems, including Workday, Learning Management Systems (LMS), benefits platforms, and payroll providers. Ensure compliance with all local labor laws and regulatory requirements. Educate and communicate with associates and leaders on emerging compliance trends and related best practices. Compensation & Benefits Partner with global teams to design and deliver competitive compensation and benefits offerings tailored for the India market. Participate in local benchmarking, vendor relationships, and associate communication around benefits. Coordinate merit cycles in partnership with U.S. teams by aligning timelines, tools, budget, best practices, and guidance with global processes and local leaders. Learning & Development Lead and facilitate local onboarding and training programs in collaboration with global Learning teams. Identify skill and capability gaps and propose learning interventions that drive performance. Associate Engagement & Culture Lead associate engagement efforts through events and India-specific recognition programs, in partnership with the U.S., that foster connection, recognition, and celebration Continuously assess sentiment and implement initiatives to strengthen connection, morale, and the overall employee experience. HR Analytics & Reporting Track and analyze key HR metrics, using data to guide decisions and influence stakeholders. Utilize associate data and dashboards from HR Systems to create and present insights and recommendations to leadership. Team Development As the India business scales, develop a roadmap to build and lead a high-performing HR team across key functional areas. Show more Show less
Key Responsibilities: • Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges • Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data • Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization • Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization • Create and maintain automated data pipelines for real-time analytics and reporting • Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance • Develop and deploy models in cloud environments while creating visualizations for stakeholders • Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: • Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field • At least 2 years of hands-on experience in data science, analytics, or machine learning roles • Demonstrated experience working with large datasets and statistical modeling • Proficiency in Python or R for data analysis and machine learning • Experience with SQL and database management systems • Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch • Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 • Experience with version control systems (Git) and collaborative development practices • Strong foundation in statistics, hypothesis testing, and experimental design • Experience with supervised and unsupervised learning techniques • Knowledge of data preprocessing, feature engineering, and model validation • Understanding of A/B testing and causal inference methods. What You’ll Need to Be Successful (Required Skills): • Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques • Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications • Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications • Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems • AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques • Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications • AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines
Job Summary : We are seeking a Data Engineer to join our growing data team, where you will help build and scale the data infrastructure powering analytics, machine learning, and product innovation. As a Data Engineer, you will be responsible for designing, building, and optimizing robust, scalable, and secure data pipelines and platforms. You will work closely with data scientists, software engineers, and product teams to deliver clean, reliable data for critical business and clinical applications. Key Responsibilities: Build and maintain optimal data pipelines, architectures and data sets required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and integration technologies. Work closely with and provide design specifications to Database Administration, Data Architects, and BI development staff to optimize overall design; Enable advanced analytics and data science teams. Identify, design, and implement internal process improvements: automating manual processesoptimizing data delivery, re-designing infrastructure for greater scalability, etc. Research emerging data technology, applications, and integration frameworks to build a strategy to integrate required data into a single source of truth or data warehouse. Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios. This position may require availability outside of standard business hours as part of a rotational on-call schedule. What You’ll Need to Be Successful (Required Skills): 2-4 years years of experience in data engineering or related roles Experience with languages such as Python, Java, Ruby, C++, Perl, SQL, Hive, Scala, Spark, Kafka Experience in big data environments from Azure, AWS, or Google using Big Data technologies such as HDFS, Pig, HBase, Hive Experience with data warehousing and SQL and NoSQL database systems Experience with data modeling and enterprise Extraction, Transformation and Load (ETL) tools Experience with data APIs Experience with analytical problem solving JD Template for Data Engineer • Proficiency in complex SQL query optimization, performance tuning, and enterprise ETL tools (Apache Airflow, dbt, Apache Beam, Luigi) with ability to design and implement scalable data transformation workflows
Job Summary: We are seeking a highly skilled and motivated Senior Software Engineer to join our global team and contribute to delivering cutting-edge SaaS solutions. This role is ideal for a full-stack engineer with expertise in .NET Core ,C#, React Js/Angular, SQL, and cloud platforms like AWS or Azure. The successful candidate will collaborate across teams, own their code from development to deployment, and help enhance the quality, security, and scalability of our platform. Key Responsibilities: Technical Development : Design, develop, maintain, and enhance .NET applications and services, contributing across the full technology stack, including .NET Core, C#, React/Angular, SQL, TypeScript, and CI/CD tooling. Work in a cloud-based environment, delivering SaaS software solutions on platforms like AWS or Azure. Develop Microservices, RESTful APIs, and scalable solutions aligned with modern software architecture principles Collaboration and Mentorship: Partner with the product management team to plan, scope, and design new features while identifying areas for improvement in the platform. Provide guidance, leadership, and mentorship to other engineers and quality assurance teams, ensuring alignment with quality, security, scalability, and usability standards. Ownership and Quality: Take ownership of your code from development to production, including deployment, monitoring, and troubleshooting Write and maintain robust test coverage, including unit, integration, and automated functional tests. Follow Agile or Lean methodologies to deliver software efficiently and effectively. What You’ll Need to Be Successful (Required Skills): 5-7 years of hands-on experience developing web applications using .NET core, C#, React Js/ Angular. Proficiency with relational databases such as Microsoft SQL Server. Strong problem-solving skills, a detail-oriented mindset, and a sense of ownership. Proven ability to manage and prioritize multiple workstreams effectively. Excellent communication skills, both written and verbal, with the ability to convey technical concepts clearly. Experience working in a Lean or Agile development environment Bachelor’s degree in computer science or engineering Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: • Collaborate with talented professionals passionate about technology. • Work in a supportive and inclusive environment where your growth is prioritized. • Access professional development opportunities, including certifications and training. • Enjoy a competitive compensation package and comprehensive benefits. We’re An Equal Opportunity Employer.
The QA Engineer AI/ML will play a crucial role in evaluating and conducting manual functional, regression, and integrated testing on new or modified software programs. Your primary responsibility will be to ensure that these programs meet the specified requirements and adhere to established guidelines. By writing, revising, and validating test plans and procedures, you will contribute to the identification of defects, environmental needs, and product feature evaluations. As a QA Engineer AI/ML, you will be tasked with maintaining a comprehensive test library, executing test scenarios to ensure coverage of requirements and regression, and conducting both positive and negative testing. Your involvement in product design reviews will provide valuable insights into functional requirements, product designs, usability considerations, and testing implications. Additionally, you will be responsible for identifying, reporting, and tracking product defects, as well as addressing the need for additional product functionality in a clear and concise manner. In this role, you will also be required to prepare and review technical documentation for accuracy, completeness, and overall quality. Providing task estimations and ensuring timely delivery against specified schedules will be essential aspects of your responsibilities. Furthermore, your availability outside of standard business hours may be necessary as part of a rotational on-call schedule. To qualify for this position, you must hold a Bachelor's degree in computer science, engineering, or a related field, or possess equivalent relevant experience. You should have 2-4 years of experience in QA Manual and demonstrate a strong understanding of technology, software quality assurance standards, and practices. Your exceptional written and verbal communication skills, along with active listening abilities, will enable you to interact effectively with a diverse range of technical and non-technical personnel. A proficiency in identifying issues logically, troubleshooting, problem-solving, and predicting defects will be crucial for success in this role. You should be adept at interpreting business requirements, creating test specifications, test plans, and test scenarios. Additionally, a balance between individual and team efforts in collaborative processes while meeting deadlines will be necessary. Experience and skills in AI/ML fundamentals, data quality assessment, model performance testing, AI/ML testing tools familiarity, bias and fairness testing, and programming skills for AI/ML testing are highly desirable. Proficiency in Python and SQL for creating test scripts, data manipulation, and working with ML libraries will be beneficial. Familiarity with MLOps, model lifecycle testing, structured delivery processes, Agile methods, and various platforms and databases will also be advantageous. Enjoy a competitive compensation package and comprehensive benefits as part of this role at Netsmart, an Equal Opportunity Employer dedicated to diversity and inclusivity.,
You will work as a Machine Learning Ops Engineer at Netsmart, contributing to the design, implementation, and maintenance of ML pipelines for model training, validation, and deployment. Your role involves automating model deployment processes using CI/CD pipelines and containerization technologies. You will be responsible for monitoring model performance, data drift, and system health in production environments, collaborating with data scientists to operationalize machine learning models and algorithms. Additionally, you will implement version control for models, datasets, and ML experiments using MLOps tools, optimize ML infrastructure for scalability, reliability, and cost-effectiveness, and troubleshoot and resolve issues related to model deployment and production systems. It will be part of your responsibility to maintain documentation for ML workflows, deployment processes, and system architecture. This position may require availability outside of standard business hours as part of a rotational on-call schedule. To qualify for this role, you must hold a Bachelor's degree in computer science, Information Management, or a related field. You are expected to have 2-4 years of experience in software development, DevOps, or data engineering. Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, or Scikit-learn is required. Experience with containerization (Docker) and orchestration tools (Kubernetes), cloud platforms like AWS, Azure, GCP, and their ML services, as well as knowledge of CI/CD pipelines, version control (Git), and infrastructure as code are essential. Moreover, familiarity with monitoring tools, logging frameworks for production systems, data pipeline tools like Apache Airflow, Kubeflow, or similar, strong problem-solving skills, and the ability to work in fast-paced, collaborative environments are expected. Preferred skills include experience with MLOps platforms like MLflow, Weights & Biases, Neptune, knowledge of streaming data processing (e.g., Kafka, Kinesis), familiarity with infrastructure monitoring tools such as Prometheus, Grafana, understanding of model interpretability and explainability techniques, experience with feature stores and data versioning tools, and certification in cloud platforms like AWS ML, Azure AI, GCP ML. At Netsmart, you will be part of an inclusive environment that prioritizes your growth, offering professional development opportunities, competitive compensation packages, and comprehensive benefits. Netsmart is an Equal Opportunity Employer.,
We are looking for an experienced and hands-on HR leader to establish and manage our India Human Resources (HR) function. In this role, you will be an individual contributor, making it an ideal position for someone who excels in both strategic planning and operational execution. As the company expands and requirements change, there will be a chance to construct and oversee a local team. Your responsibilities will encompass various HR functions, such as recruitment, HR operations, business partnership, compensation & benefits, compliance, and more, while establishing the groundwork for a scalable and impactful HR organization. The position necessitates a solid combination of strategic vision and practical implementation. You will collaborate closely with global and local business leaders, as well as stakeholders in various functions and third-party providers, to ensure alignment of HR practices and people strategies. Your role will be crucial in promoting consistency across different locations, supporting common objectives, and fostering a dynamic and high-performing culture rooted in our company's values. Key Responsibilities: People Strategy & Business Partnership: - Act as a trusted advisor to leaders, assisting in aligning people strategy with business objectives. - Offer proactive coaching and guidance on organizational structure, change management, team dynamics, and talent development. - Manage complex associate relations matters, conduct thorough investigations, provide advice to managers, and take necessary actions. Talent Acquisition: - Lead recruitment activities for all India-based positions, ranging from entry-level to senior roles. - Establish talent pipelines and partnerships to support growth in India. - Execute local employer branding initiatives in collaboration with global and regional teams to attract top talent and enhance brand visibility in India. - Work with the Talent Acquisition Director to oversee relationships with external recruitment agencies and providers, ensuring alignment with company standards and goals. HR Operations & Compliance: - Collaborate with the global HR operations team to implement established processes, including onboarding, offboarding, record maintenance, and policy development, communication, and enforcement. - Manage time off and leave of absence programs, ensuring compliance with regulations and providing support to associates. - Ensure adherence to local labor laws and regulatory mandates. - Educate associates and leaders on emerging compliance trends and best practices. Compensation & Benefits: - Collaborate with global teams to create competitive compensation and benefits packages tailored for the Indian market. - Engage in local benchmarking, maintain vendor relationships, and communicate benefits information to associates. - Coordinate merit cycles in alignment with U.S. teams, following global processes and local leaders" guidance. Learning & Development: - Conduct local onboarding and training programs in partnership with global Learning teams. - Identify skill gaps and propose learning interventions to enhance performance. Associate Engagement & Culture: - Drive associate engagement initiatives, including events and India-specific recognition programs, in collaboration with the U.S. team, to promote connection, recognition, and appreciation. - Continuously evaluate employee sentiment and implement strategies to enhance connection, morale, and the overall employee experience. HR Analytics & Reporting: - Monitor and analyze key HR metrics, leveraging data to inform decisions and influence stakeholders. - Utilize HR Systems data and dashboards to generate insights and recommendations for leadership. Team Development: - Develop a roadmap for establishing and leading a high-performing HR team across key functional areas as the India business expands.,
We are seeking an experienced Software Architect who will be responsible for providing technical leadership, designing scalable and resilient systems, and guiding teams towards delivering innovative solutions. The ideal candidate should possess expertise in modern development frameworks, cloud platforms like AWS, and relational database systems. Additionally, they should have a passion for mentoring and driving technical excellence. Key Responsibilities: Technical Leadership: - Lead technical discussions with internal and external stakeholders to analyze business processes, applications, architecture, and infrastructure for identifying pain points and recommending improvements. - Write technical specifications based on business requirements for new features, along with creating and analyzing architecture diagrams, code, and data. - Offer coaching and guidance across all levels of the organization, motivating teams towards achieving shared goals by conducting technical code reviews and coaching based on best practices. - Mentor technical associates to enhance their technical skills, foster a collaborative culture, and sustain engagement. Architectural Design and Road Mapping: - Analyze systems across business processes, applications, databases, and infrastructure to document current states and build future-state architectural roadmaps across all tiers. - Develop artifacts representing current and future state system architecture, including visualization, database, and application layers. - Identify opportunities to enhance performance, stability, capacity, and resiliency of systems, architecture, databases, and processes with associated costs and risks in mind. Platform and Process Optimization: - Design and implement robust microservices utilizing Java, JavaScript, TypeScript, Angular, AWS, and PostgreSQL. - Optimize deployment strategies by leveraging physical, virtual, and cloud environments to meet performance and scalability needs. - Identify and implement improvements to ensure system capacity, performance, and operational excellence. Operational Proficiencies: - Analyze infrastructure usage and application performance to optimize resource utilization and recommend cost-effective solutions and improvements. - Advocate and enforce industry standards for software development, deployment, and maintenance to enhance operational excellence. - Collaborate with DevOps Teams to automate deployments, CI/CD pipelines, and incident management workflows. - Identify potential operational risks and design fail-safe architectures and disaster recovery strategies. - Create and maintain comprehensive documentation for systems and train teams on operational protocols and tools. - Act as a liaison between technical teams and operational stakeholders to support cross-team communication and align priorities and objectives. Collaboration and Innovation: - Partner with cross-functional teams to align technology solutions with business objectives. - Advocate for and implement automation concepts within CI/CD pipelines, configuration management, automated deployment, and validation processes. What You'll Need to Be Successful (Required Skills): - 12-15 years of experience in software development, including technical leadership in an Agile environment. - Proficiency in Java, JavaScript, TypeScript, Angular, and AWS. - Strong knowledge of relational database systems, including PostgreSQL, and database architecture such as replication strategies and SQL. - Experience with capacity and performance analysis of complex systems. - Familiarity with physical, virtual, and cloud deployment strategies. - Strong analytical and problem-solving skills, with the ability to document and communicate technical solutions effectively. Education/Certifications: - Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related field. Preferred Skills: - Knowledge of DevOps practices and the ability to advocate for and implement CI/CD pipelines. - Experience with heterogeneous environments (e.g., Windows .NET, Linux/Unix, Mainframe). - Familiarity with tools and methodologies for automated configuration management, deployment, and validation. Why Join Us At Netsmart, you'll work on exciting challenges that shape the future of [industry/domain]. You'll have the opportunity to: - Collaborate with talented professionals passionate about technology. - Work in a supportive and inclusive environment where your growth is prioritized. - Access professional development opportunities, including certifications and training. - Enjoy a competitive compensation package and comprehensive benefits. We're An Equal Opportunity Employer.,
We are seeking a Data Scientist – ML with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Data Scientist – ML, you’ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications Required: At least 2 years of hands-on experience in data science, analytics, or machine learning roles Demonstrated experience working with large datasets and statistical modeling Proficiency in Python , Python Anaconda library for data analysis and machine learning Experience with SQL and database management systems Experience with ML and Deep Learning frameworks using one or more of TensorFlow, PyTorch, Keras, scikit-learn, MLFlow, Kubeflow. Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental design Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What You’ll Need to Be Successful (Required Skills): Advanced Algorithm Implementation: At least 1-2 years of experience implementing and optimizing machine learning algorithms from scratch, including deep understanding of algorithmic complexity, hyperparameter tuning, and performance optimization techniques Model Pipeline Development: Proficiency in designing and building end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, and deployment using tools like Apache Airflow, Kubeflow, or MLflow Cross-Validation and Model Selection: Experience with advanced model validation techniques including k-fold cross-validation, stratified sampling, time series validation, and ensemble methods for robust model selection and performance estimation Feature Engineering and Selection: Deep knowledge of feature engineering techniques including dimensionality reduction (PCA, t-SNE, UMAP), feature selection methods, and automated feature engineering approaches for improving model performance Model Interpretability and Explainability: Experience with model interpretation techniques such as SHAP, LIME, permutation importance, and other explainable AI methods to understand and communicate model decision-making processes Deep Learning Architectures: Familiarity with designing and implementing custom neural network architectures including CNNs, RNNs, Transformers, and experience with transfer learning and model fine-tuning techniques MLOps and Model Monitoring: Understanding of machine learning operations including automated model retraining, drift detection, A/B testing for ML models, and continuous integration/continuous deployment (CI/CD) practices for ML systems Education/ Certifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field. Preferred Skills: At least 1 year of experience working with healthcare data or in healthcare IT environments Familiarity with electronic health record (EHR) systems and healthcare workflows Understanding of healthcare data privacy regulations (HIPAA, HITECH) Knowledge of clinical data standards and interoperability frameworks Knowledge of MLOps practices and model deployment pipelines Familiarity with natural language processing for clinical text analysis Experience with time series analysis for patient monitoring data Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: Collaborate with talented professionals passionate about technology. Work in a supportive and inclusive environment where your growth is prioritized. Access professional development opportunities, including certifications and training. Enjoy a competitive compensation package and comprehensive benefits. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.
Responsible for ensuring high quality outcomes through the software development process by testing each part to ensure it meets company standards before moving to the next phase. Responsibilities Evaluate and perform manual functional, regression, and integrated testing against new or modified software programs and procedures used to verify that programs function according to requirements and conform to establishment guidelines. Write, revise, and verify test plans and test procedures for program defect identification, environment needs, and product feature evaluations. Evaluate, generate, execute, and maintain full active test library, with limited redundancy, with test scenarios to ensure requirements coverage and regression coverage with positive and negative testing in accordance with set processes and procedures and methodology. Participate in product design reviews to provide input on functional requirements, product designs, usability, or testing implications. Identify, report, and track product defects as well as address need for additional product functionality in a clear and concise form. Prepare and/or review end user and technical documentation generated for accuracy, completeness, and overall quality. Provide estimation of tasks, and on-time delivery against stated schedules. This position may require availability outside of standard business hours as part of a rotational on-call schedule Qualifications Required Bachelor’s degree or equivalent relevant experience Strong understanding of technology, software quality assurance standards and practices with a natural inquisitiveness. Strong written and verbal communication with active listening skills and the ability to interact with a wide variety of technical and non-technical personnel via matrix navigation. Ability to logically identify issues using a level of abstraction and troubleshooting, and problem-solving skills and prediction where necessary in identifying defects, test coverage, and gaps in requirements. Ability to read and interpret business requirements and read, write and identify test specifications, test plans, and test scenarios. Ability to balance individual and team effort in collaborative processes while meeting set deadlines. Strong written and detail-oriented skills to effectively produce quality test cases and related test and release documentation with a high level of coverage. Preferred Experience with structured delivery processes Experience with full lifecycle development and using Agile methods Experience in working with web-based, pc-based, and mobile applications built with Java, Delphi, .Net, Objective C platforms on Windows, Linux, iOS environments utilizing varying databases for data storage and retrieval. At least 1 year of experience writing manual test cases, test plans, and test execution Knowledge of where test automation applies, its usage, and maintenance needs. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.
The Senior Manager, Data Science will be responsible for building and scaling Netsmart’s data science capabilities. You will lead the development and deployment of advanced analytics, AI/ML models, and predictive tools to support decision-making across product, clinical, and operational domains. This is a strategic and hands-on leadership role for someone who thrives in both managing teams and shaping technical direction. Key Responsibilities: Lead the strategy, work with various stakeholders to define the roadmap, and delivery of healthcare products Run the business based on operational metrics and status. This includes but is not limited to queue churn, trending, resource utilization, risk assessment and mitigation, project initiatives, and department-related data elements Make timely and effective decisions to ensure the team is prepared to deliver solutions on a strategic roadmap not just for the short-term Lead cross-functional change initiatives and develop strategies to support change in engineering processes and strategy Accountable for ensuring the capability and capacity of the team to advance and leverage the latest in programming languages, industry standards and software development methodologies. Become a trusted advisor for executive leaders across the company. This position may require availability outside of standard business hours as part of a rotational on-call schedule What You’ll Need to Be Successful (Required Skills): At least 10+ years of professional experience in data science, machine learning, or applied analytics roles. Must have experience leading data science or machine learning teams. Experience with variable cost analysis and management for complex cloud-based solutions Experience in leading, coaching, and mentoring a team of data scientists; foster a culture of innovation and learning. Experience with full lifecycle development in product or engineering leadership using Agile methods for large, complex projects Deep understanding of statistical modelling, machine learning algorithms, and real-world data applications. Hands-on experience with data science frameworks and cloud platforms such as AWS, Azure, GCP. Education/ Certifications: Bachelor's degree in computer science, or related field. Preferred Skills: Experience designing, building and operating – secure, scalable and highly available web and mobile applications, large-scale distributed systems using service-oriented architecture and message queue architecture – in the cloud Understanding of cloud-based SaaS architectures – involves designing elastic solutions, distributed state, availability, scalability, etc. Experience building ML platforms or MLOps workflows. Exposure to driving adoption of AI/Automation to make the product development/QA cycle better Experience in healthcare, life sciences, or human services domains. Knowledge of healthcare regulatory and compliance including data governance, privacy, HIPAA, or FHIR standards Strong business acumen with the ability to link data insights to actionable outcomes. Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: Collaborate with talented professionals passionate about technology. Work in a supportive and inclusive environment where your growth is prioritized. Access professional development opportunities, including certifications and training. Enjoy a competitive compensation package and comprehensive benefits. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.
We are seeking a Data Scientist – Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Data Scientist – Gen AI, you’ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field At least 2 years of hands-on experience in data science, analytics, or machine learning roles Demonstrated experience working with large datasets and statistical modeling Proficiency in Python or R for data analysis and machine learning Experience with SQL and database management systems Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental design Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What You’ll Need to Be Successful (Required Skills): Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre- trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines Education/ Certifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field. Preferred Skills: At least 1 year of experience working with healthcare data or in healthcare IT environments Familiarity with electronic health record (EHR) systems and healthcare workflows Understanding of healthcare data privacy regulations (HIPAA, HITECH) Knowledge of clinical data standards and interoperability frameworks Knowledge of MLOps practices and model deployment pipelines Familiarity with natural language processing for clinical text analysis Experience with time series analysis for patient monitoring data Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: Collaborate with talented professionals passionate about technology. Work in a supportive and inclusive environment where your growth is prioritized. Access professional development opportunities, including certifications and training. Enjoy a competitive compensation package and comprehensive benefits. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.
We are seeking a detail-oriented QA Automation Engineer to join our team. The ideal candidate will have strong expertise in test automation using tools like Selenium, API validation/testing, and experience with various architectural frameworks This role involves creating, maintaining, and executing robust automated testing frameworks to ensure the delivery of high-quality software solutions. Automation Framework and Testing: Design, develop, and maintain modular, extensible, and reusable test automation frameworks and scripts, while maintaining high stability. Set up, configure, and maintain the automation environment and data to ensure smooth testing processes. Develop and execute efficient automated performance test scripts to validate system stability and responsiveness. Create and maintain a comprehensive test automation library with scenarios to ensure thorough requirements and regression coverage. Testing and Validation: Assist in functional, regression, and integration testing for new or modified software programs using both manual and automated approaches. Validate Mobile, Web and APIs using appropriate API testing tools and frameworks. Identify, report, and track product defects, providing clear and concise documentation of issues and potential improvements. Collaboration and Process Improvement: Participate in product design reviews to provide input on requirements, automation feasibility, and testing implications. Write, review, and verify test plans and procedures for product evaluations and defect identification. Accurately estimate testing timelines and work toward targeted on-time delivery by proactively removing roadblocks. Collaborate with cross-functional teams to align on product goals and ensure quality standards are met. Operational Excellence: Provide feedback and insights to improve the software quality assurance process and methodology. Stay up to date with the latest automation tools and best practices to optimize the automation framework. Participate in an on-call rotation schedule to support critical testing needs outside of standard business hours. What You’ll Need to Be Successful (Required Skills): At least 2 -4 years of experience in developing and executing automated software scripts. At least 1 year of experience in writing and executing manual test cases and test plans. Strong understanding of software quality assurance standards, practices, and methodologies. Hands-on experience with HTML and CSS selector for object identification for test automation. Proficiency in API validation and experience with API testing tools. Excellent problem-solving skills, with the ability to identify defects, predict potential gaps in requirements, and troubleshoot issues. Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams. Education/ Certifications: Bachelor’s degree or equivalent relevant experience. Preferred Skills: Experience with structured delivery processes and Agile methodologies. Experience Appium for mobile test automation. Familiarity with web-based, PC-based, and mobile applications built using technologies like Java, .NET, and Linux environments. Knowledge of database configurations and integration testing. Proficiency in scripting languages such as JavaScript and familiarity with Node.js. Hands-on experience with web object identification methods (e.g., XPath). Strong understanding of where test automation applies, including its usage and maintenance. Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: Collaborate with talented professionals passionate about technology. Work in a supportive and inclusive environment where your growth is prioritized. Access professional development opportunities, including certifications and training. Enjoy a competitive compensation package and comprehensive benefits. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.