Chennai / Mumbai / Pune / Hyderabad / Bangalore / Bangalore Urban, Karnataka, India (Hybrid)
About Us
Zemoso is a unique services organization that specializes in early-stage initiatives and solves tough technology problems. We partner with startups, Fortune 500 companies, and mid-sized organizations on digital transformation, business model transformation, and new product development initiatives. We bring an expert understanding of how a focus on usability works with mature engineering practices to deliver the best outcomes for our customers. Every member of our team showcases accountability and ownership.
As a services organization, our people are our strongest asset. Therefore, we are committed to their career progression. Our Talent Nurture team organizes bootcamps, provides external resources, and hosts tailored workshops. We work on the most cutting-edge solutions, ensuring that our people stay up-to-date with the latest processes, technologies, and tools.
Location
Chennai / Mumbai / Pune / Hyderabad / Bangalore / Bangalore Urban, Karnataka, India (Hybrid)
Responsibilities
Stakeholder Communication & Client Management: Act as the primary technical liaison for clients. Translate complex ML terms, model behaviors, and architectural trade-offs into actionable business insights for non-technical stakeholders.
Technical Leadership: Architect and design end-to-end ML solutions. Lead, mentor, and guide a team of Data Analysts and ML/Data Engineers through the entire project lifecycle.
Project Delivery: Oversee the collection, cleanup, exploration, and statistical analysis of complex datasets to drive business intelligence.
Model Lifecycle Management: Lead the implementation, deployment, and scaling of advanced ML models and algorithms to solve complex business problems.
Cross-functional Collaboration: Work closely with data engineers to design, build, test, and monitor robust data and MLOps pipelines for ongoing business operations.
Strategic Alignment: Understand the client's core business model to ensure the ML solutions built bring measurable, actionable ROI out of data available in various formats.
Required skills and qualifications
Experience: 8 to 12 years of overall industry experience, with a proven track record in Data Science, Machine Learning, and technical leadership.
Client-Facing Expertise: Demonstrated experience in stakeholder management, specifically the ability to confidently answer to clients and demystify complex ML concepts in a consultative manner.
Technical Proficiency: Exceptional, hands-on coding experience in Python and robust experience with popular ML frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
Analytical Rigor: Deep expertise in statistical modeling of large data sets and a comprehensive understanding of diverse ML algorithms.
Pipeline & Architecture: Strong experience designing robust data/ML pipelines and transitioning models from experimentation to production environments.
Data Analytics: Solid foundational experience in data analytics, including the ability to extract actionable insights from raw data (experience with advanced Excel/BI tools is a plus).
Good to have
Hands-on experience with Deep Learning, Generative AI, or NLP frameworks.
Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
Experience with Cloud platforms (AWS, GCP, or Azure) and their respective ML services.
A background working in fast-paced startup environments or consulting/services agencies.
