Service delivery manager (system integration)

This Recruitment is Specially for Physically Handicapped and Female Candidates belongs to a poor family.

Desired Candidate Profile

1. Exp. In online bidding on various portal like Elance, Guru, Freelancer, Odesk, Upwork etc.
2. Expert in generating business from online bidding.
Writing proposals, costing and negotiations.
3. Prospect for potential new clients and turn this into increased business.
4. Candidate should be flexible in working hours.
5. Generate new business leads for Web design, graphic design, web development & internet marketing.

• Graduate degree with a strong academic performance from a top tier university
• You can think in terms of the big picture but deliver on the details
• You have an instinct for great product design and are an advocate for new features with qualitative and quantitative reasoning
• You do whatever it takes to make your product and team successful, whether that means writing a testing plan, analyzing large data sets, or hunting down the root cause of a user’s frustration
• You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
• You communicate with empathy, precision, and clarity
• You are technical enough to ask engineers good questions about architecture and product decisions alike
• Beyond just shipping new products, you obsess about continuous product improvement
• While we generally value attitude over skills, we expect that you’ve spent at least five years in a fast-paced product management role

What you will be doing:

• Grow an efficient, collaborative team of data scientists, data engineers, and BI developers by hiring, coaching, mentoring, and sharing feedback that preserves company culture and values
• Prioritize work for your team, making rational tradeoffs on priorities based on business constraints, ensuring on-time deliverables and high-quality solutions
• Working with our Engineering teams to improve and advance our development practices based on a data-driven and analytical approach
• Collaborate and maintain a high level of interaction and cooperation with technical and non-technical stakeholders across Gelato
• Partner closely with our product team and stakeholders to improve planning and prioritization
• Drive the analytics and data science roadmap in Gelato
• Work in European time zones
• Who you are

What you need to have:

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

• Leverage native APIs for deep integrations
• Solving any challenges that might appear on the way
• Diagnose and fix bugs and performance bottlenecks for performance that feels native
• Maintain code and write automated tests of quality that sets the benchmark for your future colleagues

• 2+ years of relevant industry experience in React Native
• A deep understanding of JavaScript
• Familiarity with video recording, playback, and uploading libraries
• Experience with Native Android app deployment
• Familiarity with modern front-end build pipelines and tools
• Familiarity with Socket.io is a plus
• Familiarity with RESTful APIs
• Strong UX/UI design exposure and experience in making apps work intuitively and with pixel perfect interface
• Highly accountable and takes ownership, with a collaborative attitude, and a lifelong learner
• Familiarity with code versioning tools (such as Git)

1. Vendor Management :: On-boarding & Payments
2. MIS Reporting & Presentation
3. Work closely with tech team, participating in the tech discussion regarding features feasibility as per technology
4. Work with teams like Customer Service, inside sales, Operations etc. to improve our customer retention, identify avenues for cross-selling/up-selling at a product level.
5. Product research, competitive analysis, positioning and packaging of the product 
6. Work closely with business, technology, operations, sales, marketing teams to gather the product requirements and build the final version and structure of the product vision. 
7. Define the product roadmap, release models and delivery the same. 
8. Responsible for sourcing, identifying and generation of new ideas, based on internal intelligence, user behavioral trends, market analysis and revenue maximization. 
9. Preparation of the product note/policies as per the guidelines and benchmarking the product features with the peers. 
10. Successful launch of the new product, versions, enhancements, in line with the cost, scope, quality and schedule