Job Closed

This listing is no longer active.

Gainwell Technologies logo
Gainwell Technologies

Gainwell Technologies is an award-winning digital health technology company that supports the administration of healthcare and human services programs. In past

Data Science AI Engineer, Advisor

Location

India

Posted

53 days ago

Salary

0

Seniority

Mid Level

Job Description

Data Science AI Engineer, Advisor

Gainwell Technologies

Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development and does not include handling or processing of sensitive health information. Role Description - Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. - Experienced in multiple LLM fine tuning techniques. - Experienced in building GEN AI solutions using RAG architecture. - Skilled in both Lang Chain and Lang Graph. - Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. - Experienced in multiple Vector Databases as well as Graph Database - Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. - End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. - Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. - AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. - Front End Development – Stream lit is a must. Good to have React, Angular or Vue.js - Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy. What We’re Looking For - Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field. - 6 plus to around 12 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. - Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. What You Should Expect in This Role - Fully Remote Opportunity – Work from anywhere in India - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Related Categories

Related Job Pages

More Data Scientist Jobs

Full TimeRemoteTeam 201-500

Jesteśmy częścią międzynarodowej organizacji notowanej na NASDAQ w Sztokholmie, działającej w 11 krajach. W Polsce mamy pełną autonomię. Sami wybieramy technologie, procesy i sposób pracy, zachowując najwyższe standardy. Realizujemy różnorodne projekty IT w Polsce i globalnie, w wielu obszarach i technologiach, co pozwala rozwijać kompetencje i zdobywać doświadczenie dopasowane do Twoich ambicji. Naszą współpracę opieramy na filozofii CARE. Rozumiemy ją jako odpowiedzialny dobór projektów, transparentną współpracę oraz długofalowe podejście do rozwoju. Dołącz do nas jako Data Scientist Rozwijaj się w środowisku, które myśli o Twoim rozwoju tak samo, jak Ty. Twoje zadania: - Projektowanie, trenowanie i optymalizacja modeli ML/DL dla systemów reklamowych i rankingowych - Rozwój modeli scoringowych (CTR, CVR, RoAS) oraz ich integracja z logiką biddingową - Budowa rozwiązań wykorzystujących sygnały użytkownika, produktu i placementu - Prowadzenie eksperymentów oraz ewaluacja modeli w środowisku produkcyjnym - Współpraca z zespołami engineeringu i biznesu w celu przekładania celów na rozwiązania ML - Mentoring innych Data Scientistów i dbanie o standardy modelowania Wymagania: • Musisz mieszkać i/lub posiadać uprawnienia do pracy w Polsce. - Biegłość w pracy z PyTorch lub TensorFlow, a także Pandas i NumPy. - Ekspercka znajomość SQL (mile widziana znajomość analitycznego SQL). - Szerokie doświadczenie z infrastrukturą chmurową, preferencyjnie Google Cloud Platform (Vertex AI, Vertex Pipelines). - Udokumentowane doświadczenie w projektowaniu i trenowaniu głębokich sieci neuronowych. - Odpowiednie wykształcenie kierunkowe lub bogate doświadczenie zawodowe w obszarze STEM (np. informatyka – specjalizacja Data Science, matematyka, statystyka matematyczna, metody ilościowe lub fizyka). - Solidne podstawy inżynieryjne, w tym umiejętność pisania produkcyjnego, testowalnego i dobrze udokumentowanego kodu w Pythonie oraz znajomość praktyk CI/CD. Co oferujemy? • Pracę w skandynawskiej kulturze opartej o logikę i dialog. • Benefity w obszarze zdrowia i sportu dopasowane do potrzeb. • Speed Coaching, krótkie sesje, które dają nowe perspektywy i rozwiązania. • Treningi sportowe, wewnętrzna drużyna, wspólne zawody. • Imprezy integracyjne i spotkania rozwojowe. Aplikuj już dziś!

Poland
Full TimeRemoteTeam 201-500Since 2009H1B No Sponsor

• Own the **mobile analytics vision and roadmap**, ensuring alignment with product growth and business objectives. • Design scalable measurement frameworks for **mobile acquisition, activation, retention, engagement, and monetization**. • Establish best practices for **mobile data instrumentation, experimentation, and analytics governance**. • Lead analysis of **mobile user behavior, funnels, and lifecycle metrics** to identify opportunities for product improvements. • Translate complex datasets into **clear insights that drive product decisions and measurable growth**. • Partner with product leaders to shape **data-informed product strategies**. • Build and scale **A/B testing and experimentation frameworks** across mobile products. • Apply advanced **statistical methods and causal inference techniques** to evaluate product and growth initiatives. • Champion a **culture of experimentation** and evidence-based decision making across teams. • Implementation of **predictive Lifetime Value (pLTV) models** to optimize acquisition and monetization strategies. • Use advanced analytics and modeling to forecast **user retention, revenue, and long-term engagement**. • Partner with growth teams to allocate marketing investments using **ROI and predicted user value**. • Ensure reliable, scalable **mobile event tracking and analytics infrastructure** across platforms. • Work with large-scale datasets using **SQL, BigQuery, Databricks, and modern data platforms**. • Leverage **Python** and advanced analytics techniques for modeling, automation, and experimentation analysis. • Collaborate with engineering teams to ensure **high-quality data pipelines and instrumentation frameworks**. • Own measurement and attribution across mobile marketing channels using **AppsFlyer or similar attribution platforms**. • Evaluate and optimize performance across **paid acquisition, organic growth, and re-engagement campaigns**. • Connect marketing performance with **long-term user value and product engagement metrics**. • Hire, mentor, and develop a **high-performing team of product and mobile analysts**. • Elevate analytics capabilities across the organization through **best practices, tooling, and knowledge sharing**. Influence executive decision-making through **clear storytelling with data**.

Spain
Job Closed
Volkswagen AG logo

Młodszy Specjalista ds. obsługi klientów niemieckojęzycznych (k/m)

Volkswagen AG

Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.

Data Scientist53 days ago
Full TimeRemoteTeam 10,001

ZADANIA: • Wsparcie dla klientów końcowych VW, • Zarządzanie reklamacjami w ruchu przychodzącym, • Rejestrowanie i przetwarzanie zapytań telefonicznych oraz pisemnych od klientów, • Przetwarzanie i przekazywanie procesów lub rozmów telefonicznych do odpowiedzialnego interfejsu, • Doradztwo produktowe oraz inicjowanie dalszych procesów, • Korzystanie z różnych baz informacji i CRM (np. Salesforce). OCZEKIWANIA: • Bardzo dobra znajomość języka niemieckiego (min. C1) – warunek konieczny, • Znajomość języka angielskiego na poziomie B2 będzie zaletą, • Doświadczenie w obsłudze klienta telefonicznego mile widziane, • Orientacja na klienta i duża empatia, • Dokładność i orientacja na szczegóły, • Wysoko rozwinięte umiejętności komunikacyjne, • Dyspozycyjność (praca zmianowa, możliwa również w soboty). OFERUJEMY: • Możliwości rozwoju w międzynarodowej organizacji, • Kulturę organizacyjną opartą na szacunku i zaufaniu, • Szeroki i elastyczny pakiet benefitów, • Możliwość pracy w 100% zdalnej.

Poland
Newfire Global Partners logo

Senior Data Scientist

Newfire Global Partners

Software Development, Staff Augmentation, and Advisory Services company operating in 8 countries across 4 continents.

Data Scientist53 days ago
Full TimeRemoteTeam 501-1,000Since 2016H1B No Sponsor

Title: Senior Data Scientist Location: US Department: Advisory Job Description: Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology. We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base. Opportunity for impact Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation. Newfire is seeking a Senior Data Scientist with SaaS experience to drive the modernization and spearhead the development of a unified, next-generation clinical technology platform for a current healthcare client. The Data Scientist will primarily be responsible for owning the development and deployment of machine learning models to support operational and clinical use cases. This work will occur under the support of more senior data scientists. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will use a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science with future direct reporting to the Director, Data Science. Role & responsibilities - Under guidance of more senior data scientists, own the development and deployment of machine learning models to support operational and clinical use cases. - Perform ad-hoc data analyses related to outputs or alternative use-cases for existing models (e.g. summarize outputs for reporting purposes) - Work with program owners to understand the goals, key performance measures, and operational details of programs and processes to ensure models are aligned with program intent - Create and present proposals for machine learning solutions to program owners with the aim of ensuring buy—in to proposed solution You’re a Perfect Match If You Have: - 4+ years previous experience performing quantitative analyses of healthcare claims - 2+ years experience using Python for machine learning model development and deployment - 2+ years experience using SQL, Databricks & Pyspark to extract and manipulate data for data engineering tasks - 2+ years experience presenting to business and executive stakeholders - 2+ years of experience developing code and analyses following good software development practices - Version control (GIT) - CI/CD principles - Test-driven development - Experience with Azure or other cloud computing providers preferred The Offer Newfire Global is committed to consistent compensation practices across our organization. Total compensation for this role is market driven, with a salary of $136,192 - $160,000. Base pay is ultimately determined based on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, Employee Assistance Program, 401(k) program with employer contribution, Flexible work schedules and time-off policy, as well as company equipment for all new full-time US-based remote employees. Offers are contingent upon successful completion of a background screening. Background screenings will be conducted in compliance with applicable laws and will not be initiated without your consent. Newfire Global is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Worldwide
$136.2K - $160K / year