6+ Optimization Jobs in Bangalore (Bengaluru) | Optimization Job openings in Bangalore (Bengaluru)

CRUBN is a National Blockchain Project funded company, incubated at IIT Kanpur, envisioned to build e-governance solutions using blockchain technology. At the National Blockchain Project, we researched, innovated, and adopted cutting edge blockchain technology suitable for Indian governance models, and CRUBN brings that research to market.

We are looking for Product Manager that will be responsible for bringing new product lines to consumers in an engaging, functional way, while opening up fresh distribution channels and collaborating with other departments. He/She will work creatively and pragmatically to conserve resources and engage the product line’s potential audience. Knowledge of key demographics and an innovative perspective on product development are important in this role.

ROLES AND RESPONSIBILITIES
• Lead the product life cycle including vision, strategy, roadmap, requirements, user experience, delivery, launch, and support.
• Lead interactions with cross-functional stakeholders in engineering, program/product management, business, and executive teams
• Executing process improvement initiatives to build scalable systems to support business growth.
• Driving optimization opportunities/initiatives and implementing new business processes.
• This role requires a self-starter with a strong background in process improvement, problem solving skills, a keen attention to detail, ability to work in a fast-paced environment with ambiguous situations, and strong program management skills.
• Write a go-to-market summary and introduce it to the rest of the department
• Create mission statement for product launch and forecast performance in individual channels.

DESIRED SKILLS & EDUCATION
• Bachelor’s Degree in Engineering or Marketing required
• 3+ years of experience managing cross-functional products and programs with tight deadlines
• Knowledge of the market and industry (SAAS Platforms, B2B products etc.)
• Excellent networking skills,especially regarding distribution channels and social media
• 3+ years of experience in process definition, having taken a product from concept to execution
• Ability to dive deep into data, existing processes, people and systems in order to invent,simplify and improve inefficient or unnecessarily complex processes
• Industry experience at a multinational organization
• Product and Program Management experience showing ability to organize tasks, prioritize competing demands, find solutions, and follow through to successful conclusions
• Advanced Excel & business modeling skills.
• Demonstrated ability to manage multiple competing priorities and drive projects to
completion.

Roles and Responsibilities:

• Perform day-to-day management of campaigns, including oversight of bid recommendations, execution details, and budgets.

• Conduct thorough keyword analysis by: creating keyword lists, analyzing search volume, and making recommendations.
• Experiment with new platforms and channels.
• Ensure ads are creative and displayed appropriately.
• Monitor costs and return on investment (ROI).
• End to End campaign management & setup.
• Continual testing and optimization.

Skills and Qualifications:

• Bachelor’s degree required.
• 1-2 years of experience in Google Campaigns. 
• Relevant previous experience and success within a similar PPC or Digital Marketing focused role. 
• Google Ads and Google Analytics certified.
• Current knowledge of Google Analytics and other digital marketing software and tools.
• Strong analytical ability and experience to work with a variety of data sources.
• Strong Excel experience.
• Ability to communicate effectively.

Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are

developing an AI platform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.

 

Graphene was founded by Corporate leaders from Microsoft and P&G and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.

Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.

 

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.

  Cloud Systems Administrator position responsibilities includes:

• Configure and fine tune cloud infrastructure
• Install and configure virtual cloud
• Support cloud servers including security configurations, patching, and
• Establish Virtual Private Networks (VPNs) to customer
• Develop scripts for automating client/server
• Monitoring, automating processes & recovery
• SQL server and noSQL dB configuration, maintenance and administration
• Network admin and configuration

 

• Engineering degree in Computer Science or equivalent
• Minimum of 4 years with Linux/Windows server administration
• Proficient with MS SQL Server administration, Cosmos DB
• Experience with supporting application and database servers
• Strong experience with IIS, other web servers
• Strong experience with Security – Identity, Access Control and Data Protection
• Strong experience with Microsoft Azure
• DevOps skills – Automated build and release management experience
• Resource and Cost Optimization

Nice to Have:

• Experience with Docker and Kubernetes. Certifications like CKAD a plus
• Certification on Azure Administration (AZ – 104) a plus

• Should have the passion to work for the organization thereby growing with the
• A good team player as well as be able to contribute individually as and when
• Should be able to mentor juniors if any need
• Should be able to learn any new technology if the project
• Leadership Capability, Self-motivated, highly collaborative, working through uncertainties and unknowns, Exceptional analytical and problem-solving skills, Getting things done, Continuous learning

 

 

 

 

 

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratise machine learning algorithms for our customers and help them realise dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Senior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities - - Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc. - Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Define and own metrics on solution quality, data quality and stability of ML pipelines - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences - - Bachelors or Masters in a quantitative field from a top tier college. - Minimum of 3+ years experience in a data science role in a technology company - Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Solid foundation in data structures, algorithms, and programming language theory - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: (a) Product Clustering, (b) Demand Forecasting, (c) Intertemporal Optimization, (d) Reinforcement Learning, (e) Transfer Learning - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Experience using Cloud-based ML platforms (e.g., AWS Sagemaker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences