Posted:4 hours ago|
Platform:
On-site
Full Time
Lead and mentor the existing data science engineers, fostering skill development and
collaboration.
Provide technical guidance, code reviews, and ensure best practices in model
development and deployment.
Design and build machine learning models for tasks like NLP, recommendation
systems, customer segmentation, and predictive analytics.
Research and implement state-of-the-art ML/AI techniques to solve real-world
problems.
Ensure models are scalable, reliable, and optimized for performance in production
environments. We operate in AWS and GCP, so its mandatory that you have previous
experience in setting up the MLOps workflow in either of the cloud service provider.
Collaborate with cross-functional teams (engineering, product, marketing, etc.) to
identify opportunities where AI/ML can drive value.
Translate business problems into data science solutions and communicate findings to
stakeholders effectively.
Drive data-driven decision-making to improve user engagement, conversions, and
Work with large-scale datasets, ensuring data quality and scalability of solutions.
Leverage cloud platforms like AWS, GCP for model training and deployment.
Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark
for development.
With so much innovation happening around Gen AI and LLMs, we prefer folks who
have already exposed themselves to this exciting opportunity via AWS Bedrock or
Google Vertex.
Masters or PhD in Computer Science, Data Science, Mathematics, or a related field.
With an industry experience of more than 8 years with 5+ years of experience in data
science, and at least 2 years in a leadership role managing a strong technical team.
Proven expertise in machine learning, deep learning, NLP, and recommendation
systems.
Hands-on experience deploying ML models in production at scale.
Experience in Martech or working on customer-facing AI solutions is a plus.
Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
Strong understanding of statistical methods, predictive modeling, and algorithm design.
Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
Excellent communication skills to present complex ideas to both technical and non
technical stakeholders.
Strong problem-solving mindset and the ability to think strategically.
A passion for innovation and staying up-to-date with the latest trends in AI/ML.
Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
Competitive salary, benefits, and a culture that values learning and growth.
Netcore Cloud
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