
Senior Data Scientist
2 weeks ago
Job Description: Senior Data Scientist/ AI Engineer
Location:
[Remote/Onsite – specify city or flexibility]
Employment Type:
Full-time
About the Role
We are looking for a highly motivated
Senior Data Scientist / AI Engineer
with strong expertise in
machine learning, deep learning, and LLMs
to build and deploy scalable AI solutions. The ideal candidate thrives in fast-paced environments, has hands-on experience with both research and production-grade ML systems, and can translate complex data into actionable insights that drive measurable business impact.
Key Responsibilities
- Design, develop, and deploy
end-to-end ML and AI solutions
including predictive modeling, NLP, and computer vision applications. - Build
LLM-powered pipelines
for text, creative, and conversational AI use cases. - Develop scalable
data pipelines
on cloud platforms (AWS/GCP/Azure) to handle real-time and batch data. - Apply
advanced statistical, algebraic, and machine learning techniques
to solve business-critical problems. - Collaborate cross-functionally with product, engineering, and business teams to deliver
AI-driven insights and tools
. - Develop and maintain dashboards and visualization tools for stakeholders using
Tableau, Plotly, or Dash
. - Stay ahead of the curve in
emerging AI/ML research
and bring innovative ideas into production.
Required Qualifications
- Master's degree in
Engineering, Data Science, Computer Science, Statistics, or related field
. - 5+ years of hands-on experience
in Data Science / ML Engineering. - Strong programming skills in
Python, R, SQL
, with experience in
PyTorch/TensorFlow
. - Proven expertise in
machine learning (classification, regression, clustering, NLP, deep learning, CNNs)
. - Proficiency in
statistical modeling, hypothesis testing, and time-series forecasting
. - Experience building and deploying ML models on
cloud platforms (AWS, GCP, or Azure)
. - Knowledge of
data visualization tools
(Tableau, Matplotlib, Seaborn, Plotly, ggplot). - Strong ability to translate data into
business insights and operational improvements
.
Preferred Qualifications
- Experience working with
LLMs and generative AI frameworks
. - Track record of contributing to open-source ML/AI projects.
- Experience applying ML/AI to real-world data challenges such as content analysis, anomaly detection, or predictive modeling.
- Familiarity with
MLOps practices
, including model deployment, monitoring, and retraining.
Why Join Us
- Work on cutting-edge
AI/ML applications
in a high-growth, innovative environment. - Opportunity to build
real-world impact solutions
across enterprises. - Collaborative, entrepreneurial, and data-driven culture with
end-to-end ownership
.
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