

TechLine Consulting
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist / Machine Learning Engineer (Remote) with a contract length of unspecified duration, offering a competitive pay rate. Candidates should have 3+ years of experience, proficiency in Python and ML frameworks, and cloud deployment experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
880
-
ποΈ - Date
November 6, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
San Francisco Bay Area
-
π§ - Skills detailed
#Azure #Datasets #GCP (Google Cloud Platform) #Agile #AI (Artificial Intelligence) #AWS (Amazon Web Services) #TensorFlow #Data Analysis #PyTorch #"ETL (Extract #Transform #Load)" #Cloud #Python #Data Science #Computer Science #ML (Machine Learning)
Role description
Data Scientist / Machine Learning Engineer (Remote)
TechLine is hiring on behalf of an external client! Our client is a fast-moving tech company building real-world AI solutions, and they are looking for a Data Scientist / Machine Learning Engineer to join their dynamic team.
In this impactful role, you will design, build, and deploy AI projects end-to-end β from applied machine learning models in production to cutting-edge generative AI and fine-tuning large language models (LLMs). If you thrive in a collaborative, agile environment and love turning data into tangible product features, this could be the opportunity for you.
Responsibilities
β’ Develop, train, and deploy machine learning models to solve real-world problems and power new product features.
β’ Design and implement generative AI solutions; fine-tune large language models (LLMs) for specific use cases and applications.
β’ Collaborate with engineers to integrate ML models into production (MLOps) and continuously improve model performance.
β’ Analyze large datasets to extract insights, guide model development, and inform business decisions.
β’ Stay up-to-date with the latest AI research and experiment with new techniques to keep our solutions state-of-the-art.
Qualifications
β’ 3+ years of experience in data science or machine learning engineering, building and deploying ML models.
β’ Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn); familiarity with generative AI or LLM fine-tuning is a plus.
β’ Strong understanding of machine learning algorithms, data analysis, and statistical techniques.
β’ Experience deploying models in a cloud environment (AWS, GCP, or Azure) and using MLOps tools for CI/CD.
β’ Excellent problem-solving skills and ability to work in a fast-paced, agile team environment.
β’ Bachelorβs or Masterβs in Computer Science, Data Science, or a related field is preferred.
Why Youβll Love This Role
β’ Impact & Ownership: Work on high-impact AI projects from concept to production and see your solutions make a real difference.
β’ Modern Tech Stack: Use the latest tools in machine learning, generative AI, and cloud technologies to build innovative products.
β’ Remote & Global: This is a fully remote position β work from anywhere and collaborate with a diverse, global team.
β’ Agile Culture: Join a tech-savvy team that iterates quickly and values innovation, learning, and collaboration.
If youβre passionate about building AI solutions and ready to take ownership in a cutting-edge environment, we'd love to hear from you!
#MachineLearning #DataScience #GenerativeAI #LLM #AI #RemoteWork #TechJobs #hiring
Data Scientist / Machine Learning Engineer (Remote)
TechLine is hiring on behalf of an external client! Our client is a fast-moving tech company building real-world AI solutions, and they are looking for a Data Scientist / Machine Learning Engineer to join their dynamic team.
In this impactful role, you will design, build, and deploy AI projects end-to-end β from applied machine learning models in production to cutting-edge generative AI and fine-tuning large language models (LLMs). If you thrive in a collaborative, agile environment and love turning data into tangible product features, this could be the opportunity for you.
Responsibilities
β’ Develop, train, and deploy machine learning models to solve real-world problems and power new product features.
β’ Design and implement generative AI solutions; fine-tune large language models (LLMs) for specific use cases and applications.
β’ Collaborate with engineers to integrate ML models into production (MLOps) and continuously improve model performance.
β’ Analyze large datasets to extract insights, guide model development, and inform business decisions.
β’ Stay up-to-date with the latest AI research and experiment with new techniques to keep our solutions state-of-the-art.
Qualifications
β’ 3+ years of experience in data science or machine learning engineering, building and deploying ML models.
β’ Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn); familiarity with generative AI or LLM fine-tuning is a plus.
β’ Strong understanding of machine learning algorithms, data analysis, and statistical techniques.
β’ Experience deploying models in a cloud environment (AWS, GCP, or Azure) and using MLOps tools for CI/CD.
β’ Excellent problem-solving skills and ability to work in a fast-paced, agile team environment.
β’ Bachelorβs or Masterβs in Computer Science, Data Science, or a related field is preferred.
Why Youβll Love This Role
β’ Impact & Ownership: Work on high-impact AI projects from concept to production and see your solutions make a real difference.
β’ Modern Tech Stack: Use the latest tools in machine learning, generative AI, and cloud technologies to build innovative products.
β’ Remote & Global: This is a fully remote position β work from anywhere and collaborate with a diverse, global team.
β’ Agile Culture: Join a tech-savvy team that iterates quickly and values innovation, learning, and collaboration.
If youβre passionate about building AI solutions and ready to take ownership in a cutting-edge environment, we'd love to hear from you!
#MachineLearning #DataScience #GenerativeAI #LLM #AI #RemoteWork #TechJobs #hiring





