Data Engineer

Strong Product Designer profile with B2B SaaS companies

Mandatory (Experience 1): Must have 1+ year of experience in Product Design in B2B SaaS Products

Mandatory (Experience 2): Must have end-to-end designing experience - starting from UX Research / Design to workflows, wireframing, and final UI designs

Mandatory (Skills): Must have hands-on experience with design tools like Figma, Adobe

Mandatory (Portfolio): Must have detailed case studies of Product Design works for good B2B SaaS products

Mandatory (Company): B2B SaaS product companies

Job description

Skills / Attributes Required

• Should have 6 mts - 2Yrs years of experience on Angular 13 or above
• Should have good experience on Typescript, JavaScript, HTML CSS, Microservices
• Should have good understanding of Rest API
• Should be strong in OOPS
• Should have good communication skills
• HTML based strong front-end developers for platform development
• Webservices and micro-services knowledge is must.

Job Location - Navi Mumbai -Belapur (Hybrid)

Requirements:

• New account acquisition and achievement of sales targets in the US/European market.

• Prospecting, contacting target C and D level executives, building close relationships, closing sales from remote.

• Develop deep, robust and qualified sales pipeline.

• Planning and overseeing new marketing initiatives.

• Developing quotes and proposals for clients.

• Contacting potential clients to establish rapport and arrange meetings.

Required Candidate profile:

• Good understanding of IT/Software services in Outsourced Managed IT services and cyber security. Good knowledge of selling services.

• Familiar with the trends and ability create sales opportunities.

• Proficient to work on Tenders and RFP’s.

• Bachelor’s degree in business, marketing, or related field.

• Excellent organizational skills.

• Strong communication skills and IT fluency. • Experience in sales, marketing, or related field

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.

• Defining, implementing and executing regression and stress automation tests focused on embedded software and device firmware level
• Analyzing automation test results for failures, identifying issue trends, and quantifying impact
• Isolating and reporting defects effectively quantifying customer impact, and verifying fixes through regression testing and other test methodologies
• Working cross-functionally with other QA teams, Developers and Project Managers

Desired Candidate Profile

• BE– CS/ ECE, MS, ME, MTech
• 2+ years of QA experience, preferably on consumer hardware/software products
• Automation experience in modern scripting or compiled languages (Python, JavaScript, C, etc.)
• Knowledge of Unix and Unix shell scripting
• Ability to communicate technical concepts to a non-technical audience
• Deep understanding of SQA methodologies & practices
• Ability to solve hard problems with creative and sustainable solutions
• Experience with hardware and/or software development lifecycle processes
• Self-motivation with the ability to drive features to delivery
• Strong hands on experience in developing applications
• Strong analytical and problem-solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills, and the ability to learn new technologies quickly    

DevOps 

Engineers : Min 3 to 5 Years 
Tech Leads : Min 6 to 10 Years 

• Implementing & supporting CI/CD/CT pipelines at scale.  
• Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.  
• Extensive experience with Shell scripts (bash).  
• Knowledge and practical experience of Jenkins for CI.  
• Experienced in build & release management.  
• Experience of deploying JVM based applications.  
• Enterprise AWS deployment with sound knowledge on AWS & AWS security.  
• Knowledge of encryption technologies: IPSec, SSL, SSH. 
• Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments. 
• DNS providing and maintenance.  
• Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.  
• Knowledge of app and server monitoring tools such as ELK/AppEngine. 
• Excellent written, oral communication and interpersonal skills.