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We're Hiring: Data Science Lead
Are you passionate about transforming data into intelligent business solutions? Do you enjoy leading Machine Learning initiatives from ideation to production while mentoring teams and driving innovation?
We're looking for a Data Science Lead to spearhead the development of advanced AI and Machine Learning solutions that deliver measurable business impact. This is an exciting opportunity to work on cutting-edge projects involving Machine Learning, Deep Learning, NLP, MLOps, Cognitive Services, and Cloud AI Platforms.
🌟 About the Role
As a Data Science Lead, you will be responsible for leading end-to-end data science initiatives, building scalable AI solutions, and driving the adoption of advanced analytics across the organization.
You'll collaborate with cross-functional teams, guide technical strategy, and help bring innovative AI products from concept to production.
🔥 What You'll Do
- Lead the design, development, and deployment of Machine Learning and Deep Learning solutions across multiple business domains.
- Build and scale AI-powered applications, MVPs, and Proof of Concepts (POCs).
- Develop advanced NLP and Text Analytics solutions using modern frameworks and techniques.
- Design and implement robust ML pipelines and MLOps practices for repeatable, scalable model deployment.
- Work with Cognitive Services and AI offerings from cloud platforms such as AWS and Azure.
- Develop and optimize machine learning models using frameworks such as:
- Scikit-Learn
- TensorFlow
- Keras
- BERT
- RNNs
- LSTMs
- Establish model evaluation, monitoring, and governance frameworks to ensure production reliability.
- Collaborate with stakeholders to translate complex business problems into AI-driven solutions.
- Stay ahead of industry trends and introduce emerging technologies, tools, and best practices.
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🎯 What We're Looking For
Required Skills & Experience
- 6+ years of hands-on experience delivering Data Science and Machine Learning projects
- Strong expertise in:
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Text Analytics
- Hands-on experience with:
- Python
- Scikit-Learn
- TensorFlow
- Keras
- BERT
- RNNs & LSTMs
- Strong knowledge of NLP frameworks such as:
- SpaCy
- NLTK
- Experience with:
- AWS AI Services (Textract, Comprehend, etc.)
- Azure Cognitive Services
- SQL & NoSQL Databases
- Expertise in:
- MLOps
- Model Monitoring & Evaluation
- Data & ML Pipelines
- Docker & Kubernetes
- Proven ability to deploy and manage Machine Learning models in production environments
- Strong analytical, problem-solving, and stakeholder management skills
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⭐ Nice to Have
- Experience with distributed computing frameworks and cloud-native ML platforms
- Hands-on experience with:
- Dataiku
- Databricks
- Exposure to:
- Computer Vision
- Generative AI
- Advanced Deep Learning Architectures
- AI, Machine Learning, or Data Science certifications
🎓 Education
Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field
Master's Degree preferred
💡 Why Join Us?
- Lead impactful AI and Data Science initiatives
- Work on enterprise-scale Machine Learning and NLP projects
- Collaborate with talented Data Scientists, Engineers, Architects, and Business Leaders
- Influence technical strategy and innovation roadmap
- Continuous learning and exposure to emerging AI technologies
- Opportunity to build solutions that create measurable business value
📩 Ready to lead the next wave of AI innovation?
If you're excited about Machine Learning, Deep Learning, NLP, MLOps, and solving complex business challenges through data, we'd love to hear from you.
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