Data Scientist
Data Scientist
Posted on :
27-04-2025
Employer Active
1 Vacancy
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Job Description
Description
Job Title: Data Scientist
Location: Hybrid
Job Type: Fulltime
About Us:
Fortive is at the forefront of leveraging data and AI technologies to drive innovation across industries. We aim to solve realworld challenges by combining advanced machine learning cloud computing and generative AI to deliver cuttingedge solutions. Were looking for a talented and passionate Data Scientist to join our dynamic team and help us continue to push the boundaries of AI.
Data Analysis & Modeling:
- Develop and deploy advanced machine learning models to address business problems across multiple domains.
- Analyze large datasets perform exploratory data analysis (EDA) and derive actionable insights.
- Build test and refine predictive models and algorithms using a variety of ML techniques (e.g. supervised and unsupervised learning deep learningcomputer vision).
AI & Gen AI Expertise:
- Apply cuttingedge generative AI models (e.g. GPT VAEs GANs) to create innovative solutions and products.
- Work with AI agents to automate and optimize workflows across different areas of the business.
- Explore and implement novel AI methodologies including reinforcement learning and transfer learning.
Cloud Infrastructure:
- Design and implement scalable data pipelines and ML models in cloud environments such as AWS or Azure.
- Collaborate with the cloud infrastructure team to ensure smooth deployment and operation of models in production.
- Leverage cloudnative AI and ML tools (e.g. AWS SageMaker Azure ML) to accelerate model development and deployment.
Collaboration & Leadership:
- Work closely with crossfunctional teams including software engineers data engineers and product managers to integrate AI solutions into products.
Stay Uptodate with Trends:
- Continuously research and evaluate the latest AI advancements trends in machine learning and emerging technologies in the AI space.
- Contribute to internal knowledgesharing promoting the latest findings tools and techniques to improve team capabilities.
Education:
- Bachelors in Computer Science Data Science Engineering Mathematics or a related field.
Experience:
- 5 years of relevant handson experience as a Data Scientist or Machine Learning Engineer.
- Proven track record of developing and deploying machine learning models in a production environment.
- Experience with generative AI models (GPT GANs VAEs) and AI agents is a must.
- Strong knowledge of cloud platforms (AWS Azure) and their AI/ML services (SageMaker Azure ML etc..
- Solid understanding of the latest trends in AI including large language models reinforcement learning computer vision & deep learning.
Technical Skills:
- Proficiency in Python R or other relevant programming languages.
- Strong knowledge of machine learning libraries such as TensorFlow PyTorch Scikitlearn or Keras.
- Experience with SQL and cloudnative data processing tools (e.g. AWS Redshift Azure Synapse Spark).
- Familiarity with DevOps practices and CI/CD pipelines for ML model deployment.
Soft Skills:
- Strong communication skills with the ability to translate complex technical concepts into businessfriendly language.
- Problemsolving mindset with the ability to approach challenges creatively and collaborate with diverse teams.
- Leadership potential or experience mentoring junior team members.
- Certification or training in AWS (e.g. AWS Certified Machine Learning) Azure or other cloud services.
- Experience working with containerization technologies like Docker and Kubernetes for model deployment.
- Exposure to the latest trends in AI ethics explainability and fairness.
Employment Type
Full-Time
Key Skills
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