Elios Talent
Direct message the job poster from Elios Talent
Senior Data Science Crafter – Full-Time – Remote
Cutting-Edge AI
– Work at the forefront of Data Science, Machine Learning, and Large Language Models, designing production-ready solutions that blend creativity with rigorous engineering. Collaborative Problem-Solving
– Partner directly with clients across industries (finance, energy, pharma, and beyond) to build innovative, domain-specific solutions. Leadership & Growth
– Guide projects, mentor teammates, and shape the expansion of the Data Science practice. About Us
We deliver cutting-edge software solutions by leveraging advanced trends and designs in technology. We are not a consultancy or a design agency; we are artisans in designing and developing software solutions for our clients. Our focus is on crafting state-of-the-art digital products with impeccable design coupled with robust source code engineering. Open communication is the foundation of our culture. We share ideas freely and understand that our cumulative experience and continued development nurture excellence in our software solutions. The Role: Senior Data Science Crafter
This role transcends traditional Data Science boundaries, encompassing: Machine Learning
(forecasting, supervised & unsupervised models, feature engineering) LLM Prompting & Fine-Tuning
(advanced embedding models, Retrieval-Augmented Generation, agent frameworks) Research & Innovation
(exploring new models, evaluating frameworks, and implementing best practices) Client Collaboration
(helping SMEs refine prompts, integrating AI into applications, and solving domain-specific challenges) You’ll encounter projects across industries, from traditional data science to bleeding-edge AI/ML applications — requiring creativity, innovation, and hands-on production skills. Key Responsibilities
Advanced LLM Solutions:
Engineer, fine-tune, and evaluate large language models, incorporating RAG, knowledge graphs, and LLM-powered workflows. ML Model Development:
Build, train, and deploy models at scale, ensuring performance, cost-efficiency, and production-readiness. Client Engagement:
Partner with stakeholders to design tailored ML/AI solutions aligned with business goals. Research & Best Practices:
Stay current with evolving AI/ML tools and frameworks, ensuring delivery of innovative, scalable solutions. Leadership:
Mentor peers, guide hiring, and contribute as a subject matter expert to AI/ML initiatives. Skills & Qualifications
Degree in Data Science, ML, Statistics, or a quantitative field (Master’s preferred). Strong Python expertise with libraries like NumPy, Pandas, TensorFlow, PyTorch, Plotly, etc. Proven experience deploying ML models at scale with performance/cost considerations. Hands-on expertise in supervised & unsupervised learning, time series, Bayesian methods, feature engineering, model tuning, boosting/bagging methods. Strong experience in LLM prompt engineering, fine-tuning, agent frameworks, and evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) and Docker. Skilled in visualization tools (matplotlib, Dash, Seaborn, etc.). Familiarity with AI-assisted coding tools (GitHub Copilot, Augment Code, Cursor). Business acumen and end-to-end systems approach to product design. Excellent communication, collaboration, and client-facing abilities. Demonstrated ability to deliver production-ready code (not just theory). Why Join Us
Work with cutting-edge AI/ML tools and frameworks. Collaborate on diverse, high-impact projects across industries. Lead, mentor, and grow within a forward-thinking, open-communication culture. Opportunity to push boundaries of what’s possible with Data Science and AI. Note: This description excludes extraneous job-board data and city/salary entries not essential to role responsibilities.
#J-18808-Ljbffr
Cutting-Edge AI
– Work at the forefront of Data Science, Machine Learning, and Large Language Models, designing production-ready solutions that blend creativity with rigorous engineering. Collaborative Problem-Solving
– Partner directly with clients across industries (finance, energy, pharma, and beyond) to build innovative, domain-specific solutions. Leadership & Growth
– Guide projects, mentor teammates, and shape the expansion of the Data Science practice. About Us
We deliver cutting-edge software solutions by leveraging advanced trends and designs in technology. We are not a consultancy or a design agency; we are artisans in designing and developing software solutions for our clients. Our focus is on crafting state-of-the-art digital products with impeccable design coupled with robust source code engineering. Open communication is the foundation of our culture. We share ideas freely and understand that our cumulative experience and continued development nurture excellence in our software solutions. The Role: Senior Data Science Crafter
This role transcends traditional Data Science boundaries, encompassing: Machine Learning
(forecasting, supervised & unsupervised models, feature engineering) LLM Prompting & Fine-Tuning
(advanced embedding models, Retrieval-Augmented Generation, agent frameworks) Research & Innovation
(exploring new models, evaluating frameworks, and implementing best practices) Client Collaboration
(helping SMEs refine prompts, integrating AI into applications, and solving domain-specific challenges) You’ll encounter projects across industries, from traditional data science to bleeding-edge AI/ML applications — requiring creativity, innovation, and hands-on production skills. Key Responsibilities
Advanced LLM Solutions:
Engineer, fine-tune, and evaluate large language models, incorporating RAG, knowledge graphs, and LLM-powered workflows. ML Model Development:
Build, train, and deploy models at scale, ensuring performance, cost-efficiency, and production-readiness. Client Engagement:
Partner with stakeholders to design tailored ML/AI solutions aligned with business goals. Research & Best Practices:
Stay current with evolving AI/ML tools and frameworks, ensuring delivery of innovative, scalable solutions. Leadership:
Mentor peers, guide hiring, and contribute as a subject matter expert to AI/ML initiatives. Skills & Qualifications
Degree in Data Science, ML, Statistics, or a quantitative field (Master’s preferred). Strong Python expertise with libraries like NumPy, Pandas, TensorFlow, PyTorch, Plotly, etc. Proven experience deploying ML models at scale with performance/cost considerations. Hands-on expertise in supervised & unsupervised learning, time series, Bayesian methods, feature engineering, model tuning, boosting/bagging methods. Strong experience in LLM prompt engineering, fine-tuning, agent frameworks, and evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) and Docker. Skilled in visualization tools (matplotlib, Dash, Seaborn, etc.). Familiarity with AI-assisted coding tools (GitHub Copilot, Augment Code, Cursor). Business acumen and end-to-end systems approach to product design. Excellent communication, collaboration, and client-facing abilities. Demonstrated ability to deliver production-ready code (not just theory). Why Join Us
Work with cutting-edge AI/ML tools and frameworks. Collaborate on diverse, high-impact projects across industries. Lead, mentor, and grow within a forward-thinking, open-communication culture. Opportunity to push boundaries of what’s possible with Data Science and AI. Note: This description excludes extraneous job-board data and city/salary entries not essential to role responsibilities.
#J-18808-Ljbffr