
Engineering Lead and Manager
at Product startup to build online community for older adults
Qualification : B.E./B.Tech. (Computer Science/IT)
Experience : 6-8 Years
Location : Remote/Bangalore
Roles and Responsibilities:
• Manage a team of software engineers, including task planning, system design and code reviews
• Drive technical projects and provide leadership in an innovative and fast-paced environment and collaborate
with product and project managers
• Be responsible for the overall planning, execution, and success of complex technical projects
• Contribute technically to projects
• Work closely with product management team to ensure we're building the best products
• Nurture and assess software developers
• Participate in the recruitment process
• Facilitate and ensure that developers follow the company engineering processes
Requirements:
• Bachelor's degree in Computer Science, related degree or equivalent practical experience.
• 6-8 years of relevant industry experience, with 3 years of hands-on technical leadership and people
management experience (managing teams of 8 or more developers).
• Hands-on programming experience in one of the following: Javascript and Python.
• Hands- on experience developing products and solutions on Cloud platforms such as AWS and GCP
• Large scale systems design experience.
Tech-Stack:
• AWS
• NodeJS Loopback
• TypeScript
• GraphQL
• NextJS/ReactJS
• React Native
• PostgreSQL
• TravisCI/CircleCI
• Neo4J
• Redis
• Apache Kafka
• Github
• JIRA/Confluence
• Slack
Benefits:
• Competitive Salary
• Flexible working hours and work-from-home policy
• Cutting Edge Tech Stack
• Diverse & inclusive culture. #AllAreWelcomeHere
• Collaborate with the best co-workers in the world
• Wellbeing initiatives
• Company events, self-development opportunities, and many more

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Job Summary
As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base
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- Work with teams of smart collaborators. Be responsible for their appraisals and career development.
- Participate and lead executive presentations with client leadership stakeholders.
- Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
- See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.
Role & Responsibilities
- Serve as expert in Data Science, build framework to develop Production level DS/AI models.
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- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
- Lead and manage the onsite-offshore relation, at the same time adding value to the client.
- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
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- Lead or contribute to org level initiatives to build the Tredence of tomorrow.
Qualification & Experience
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
- 6-10+ years of experience in data science, building hands-on ML models
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
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Technical skills:
- Working experience in using the any of the design principles MVVM or MVP
- Experience in using Web Services and SQLite data base
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What you will do:
- Researching possible business opportunities, prospecting new clients through various sources and building a pipeline of prospects
- Reaching out to potential clients via cold calls and cold email
- Understanding the business requirements of the clients and accordingly pitching the company’s products/services
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Desired Candidate Profile
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- Relevant work experience of minimum 2+ years in inside sales
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- Willingness to work remotely
- Excellent communication skills- Advanced level proficiency in English is required
- Excellent negotiation and presentation skills

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