Role Description Trileaf is seeking a full-time, field Project Scientist with 0-5 years of field experience conducting environmental due diligence work on commercial real estate and/or telecom projects, to include Phase I Environmental Site Assessments (Phase I ESAs) and Phase II ESAs. This position will be remote & based near the metro Kansas City area (ideally between Kansas City MO / Lincoln NE). - Travel to project location, take detailed notes and photographs of site (2-3 days per week) - Conducting interviews, in person, via email, and phone - Ordering & analyzing government database records - Performing regulatory agency file reviews - Reviewing historical data (including topographic maps, Sanborn fire insurance maps, city directories, and aerial photographs) - Drafting of a standardized report using information from these various sources - Perform QA/QC to the satisfaction of both management and clients - Completing requested revisions & submitting report within pre-established timelines - Conducting field work to collect samples of potentially contaminated subsurface media (soil, groundwater, and soil vapor) and/or indoor air - Compare analytical contaminant data collected to applicable regulatory standards Qualifications - Attention to detail - Strong work ethic - Valid driver license - Capable of field work - Ability and willingness to travel (travel not expected to exceed 2-3 days at a time) - Good computer skills - Independent worker - Commitment to excellence - Phase I Assessments - NEPA Assessments Requirements - 40-Hour HAZWOPER Certification - Licensed Asbestos Inspector - Management - Mold assessment experience - Phase II Environmental Site Assessments (ASTM E1903) - Property Condition Assessments (ASTM E2018) - Transaction Screen Assessments (ASTM E1528) - Record Search with Risk Assessments (SBA SOP 50 10 6) - Environmental Professional (EP) Education - Bachelor’s degree or higher in Biology, Environmental Science, Geology, Geography or related fields Benefits The listed salary range for this position is an expected range. The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, years of experience, skillset, geographic location, and current market data. Company Description Trileaf Corporation is a nationwide environmental, architecture, and engineering consulting firm that assists clients with environmental due diligence, regulatory compliance, and engineering and architectural design. From its headquarters in St. Louis, MO, and multiple branch offices throughout the U.S., Trileaf serves the wireless communications, commercial real estate and financial industries.

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.

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!

• 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**.