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Engineering Manager
4 months ago
Role : Engineering Manager- Data Analysis
Experience : 8+ years
Location : Bengaluru
Company Overview :
Kadel Labs is a first-of-its-kind Venture Studio in India. It is a global software technology system incubator with synergetic blend of IT Services and SaaS products under its portfolio. Since 2017, KL has grown organically (180+ employees and expanding) and served 200+ Customers. At the core, KL is a people's company. We serve clients by practicing an employee-centric culture and creating an environment where ideas, creativity, free-flowing communication and innovation is encouraged to create better products and services.
Job Description :
The Engineering Manager will combine analytical skills and business knowledge to deliver key insights to our Product and Management teams. They'll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products. They are responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
Responsibilities :
- Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs.
- Responsible for converting business requirements into robust data science algorithms.
- Responsible for providing technical leadership to a team of data science engineers.
- Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.
- Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
- Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
- Collaborates effectively with cross functional teams to deliver end-to-end products & features.
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
- Responsible for creating model validation framework.
- Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data.
- Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams.
- Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation.
- Assess, inspire and motivate a high performing team of data science :
- Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution.
- Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods.
- 10+ yrs of working experience in MLData science with NLP background
- Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus.
- Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch).
- Experience in RDMS, ETL, SSIS, Data Warehousing, Hadoop, Talend, Power BI and Tableau.
- Experience in leading a team of 3-5 data scientists.
- Experience using tools to deploy models into the production environment such as Jenkins
- Experience with Cloud infrastructure and platforms (Azure, AWS)
- Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.
Education and Experience : BTech or relevant educational field required
Benefits :
Life @KL :
- Work on pioneering technology that has real-world impact, from urban planning to disaster response.
- Be part of a creative, innovative team that values diversity of thought and expertise.
- Enjoy a flexible working environment that encourages in-person collaboration while supporting remote work when necessary.
- Benefit from a culture that supports growth, learning, and personal development
- Lead from the front: We're constantly pushing the envelope to redefine what's possible. We make huge breakthroughs, rapidly advancing our technology and the industry as a whole. It's what we do.
- Make an impact: We hire rockstars who are passionate about creating the future of "spatial computing" and want nothing more than to have a meaningful impact on turning our vision into reality.
- Break down barriers: Our products are designed to dissolve barriers between humans and creating technology that serves all of humanity.
- No matter where you're based, or which team you work on, you'll be part of a group of people working together to build solutions to mission-critical problems and a company that values the very best ideas.
Ready to make a difference? Apply now and help us build the future of planetary-scale digital twin technology.
