UX Designer

Job description

Experience with API testing using Postman or similar tools.

Knowledge of CI/CD pipelines and version control tools like Git.

Familiarity with performance testing tools (JMeter).

Experience in Agile/Scrum environments

• End-to-end ownership of new feature development, from design, through implementation, testing, deployment, and maintenance in production
• Translating of high-level requirements and end-user use cases into design proposals, including integration with external services and constraints of underlying service infrastructure
• Maintaining constant focus on scalability, performance and robustness of a feature, on the top of base functional implementation
• Designing and implementing logging, monitoring and alerting functions as core parts of overall software solution
• Documenting your own work and design solutions
• Decomposing complex features into smaller, short-term deliverable tasks
• Managing priorities of multiple tasks, providing up-to-date estimates for a milestone delivery

• 5+ of industry experience in technical leadership roles
• Solid knowledge of Go-Lang, Python, C/C++, SQL, shell scripting and Linux operating environment.
• End-to-end experience in design and development of highly scalable enterprise and cloud data products.
• Ability to challenge and redefine existing architectural fundamentals in order to provide next level of performance and scalability; ability to foresee post-deployment challenges.
• Hands-on experience with design and troubleshooting of scalable web services, advanced file systems, geographic replication, distributed databases and modern operating systems.
• Experience with modern DevOps technologies such as Docker and container orchestration, service deployment, monitoring and scaling
• Ability to work with multi-cultural, globally distributed teams to a common unifying product vision and closely coordinate with cross-functional teams in different time-zones.
• Passion to deliver enterprise-grade products to customers and to continuously work with engineering team to refine the product in the field.

What You Bring to the team:

• 2-5 years of working experience in game development, preferable 2D games.
• Excellent knowledge of Unity, including experience with scripting, textures, animation, GUI styles, user session management.
• Good knowledge of game physics and particle systems
• Experience of shipping out games on Android/ iOS and rolling out updates to them
• Ability to plan and estimate timelines of new features/ releases.
• Expert in debugging
• Strong understanding of object-oriented programming, data structure and algorithms

Extra Gems for:

• Experience of working in Product industry
• Good understanding of client/ server interaction
• Experience of working on a mobile multiplayer games on scale, will be a huge plus
• Experience with Android development / Objective C
• Open source contributions, interesting hobby projects.
• Experience optimising for memory and space
  
  

Your responsibilities would include:

• As an Associate Unity game developer, you will be part of the Unity Dev team and will be responsible for the front-end (client) side development.
• You would design, build and maintain efficient, reusable, and reliable code
• Implement new game features and services 
• Continuously improve the game quality by fixing crashes, ANRs, performance related issues to deliver exceptional experience to our users.
• Integrate third party SDKs like Analytics, Monetisation, Crash reporting etc.
• Create, debug, maintain and optimise the game, and related in-house written libraries used for the game’s development.
• Reporting to team lead regularly in clear and structured way regarding your progress. Proactive communication is a must when deadlines are getting missed.

Why Us?

• High Growth Startup environment 
• Company sponsored courses and education material
• Lots of learning opportunities 
• Work with a super-talented team of professionals
• Informal work-culture, Casual Dress Code, multiple outings and trips
• Performance Based Bonus
• Competitive Salary
• Medical Insurance for you and your family 
• Subsidies Lunch and Unlimited Snacks, Tea & Coffee in the house at all times

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

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. 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

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. 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.
4. 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.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution

• Experience working in advanced iterative methodologies such as Agile and Safe.
• Experience with containers and orchestration (Docker, Kubernetes).
• Comfortable working in complex and demanding environments with high degree of change.
• Ability to view system perspective and to perform thorough investigations.
• Experience in frequent delivery to production.
• Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
• Experience with modern software components (Mongo, Elasticsearch, Kafka).
• Expertise in software development methodologies.
• Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
• Possession of a deep knowledge of development workflows with Git.
• Experience with MySQL or another relational database Environment.
• Automation testing (component, integration and end2end)

• 5+ years of industry experience in developing mobile applications, web and/or large-scale enterprise products
• Mobile Development Experience: Swift, Objective-C, and Xcode
• Familiarity with Apple Human Interface Guidelines
• Experience with standard mobile architectures (MVC, MVVM, MVP, etc)
• Ability to effectively apply software design patterns and architectural principles
• Knowledgeable in building complex user interfaces
• Skillful at writing effective unit and behavioral tests
• Experience with software development processes (Agile, Scrum, Kanban, etc)