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.