Data Science Manager

At WeAssemble, we connect global businesses with top-tier talent to build dedicated offshore teams. Our mission is to deliver exceptional services through innovation, collaboration, and transparency. We pride ourselves on a vibrant work culture and are constantly on the lookout for passionate professionals to join our journey.

Job Description:

We are looking for a highly skilled Automation Tester with 3 years of experience to join our dynamic team in Mumbai. The ideal candidate should be proactive, detail-oriented, and ready to hit the ground running. If you’re passionate about quality assurance and test automation, we’d love to meet you!

Key Responsibilities:

Design, develop, and execute automated test scripts using industry-standard tools and frameworks.

Collaborate with developers, business analysts, and other stakeholders to understand requirements and ensure quality.

Maintain and update automation test suites as per application changes.

Identify, record, document, and track bugs.

Ensure the highest quality of deliverables with minimal supervision.

Contribute to the continuous improvement of QA processes and automation strategies.

Skills & Qualifications:

Minimum 3 years of hands-on experience in automation testing.

Proficiency in automation tools such as Selenium, TestNG, JUnit, etc.

Solid knowledge of programming/scripting languages (Java, Python, etc.).

Familiarity with CI/CD tools like Jenkins, Git, etc.

Good understanding of software development lifecycle and agile methodologies.

Excellent analytical and problem-solving skills.

Strong communication and teamwork abilities.

Location: Mumbai (Work from Office)

Notice Period: Candidates who can join immediately or within 15 days will be preferred.

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position Summary:

As Architect, you will be responsible for designing, implementing, and managing SailPoint IdentityNow (IIQ) solutions to ensure effective identity governance and access management across our enterprise. You will work closely with stakeholders to understand their requirements, develop solutions that align with business objectives, and oversee the deployment and integration of SailPoint technologies.

Key Responsibilities:

Architect and Design Solutions:

= Design and architect SailPoint IIQ solutions that meet business needs and align with IT strategy.

= Develop detailed technical designs, including integration points, workflows, and data models.

Implementation and Integration:

= Lead the implementation and configuration of SailPoint IIQ, including connectors, identity governance, and compliance features.

= Integrate SailPoint with various systems, applications, and directories (e.g., Active Directory, LDAP, databases).

Project Management

= Manage project timelines, resources, and deliverables to ensure successful deployment of SailPoint IIQ solutions.

= Coordinate with cross-functional teams to address project requirements, risks, and issues.

Customization and Development:

= Customize SailPoint IIQ functionalities, including developing custom connectors, workflows, and rules.

= Develop and maintain documentation related to architecture, configurations, and customizations.

Support and Troubleshooting:

= Provide ongoing support for SailPoint IIQ implementations, including troubleshooting and resolving technical issues.

= Conduct regular reviews and performance tuning to optimize the SailPoint environment.

Compliance and Best Practices:

= Ensure SailPoint IIQ implementations adhere to industry best practices, security policies, and regulatory requirements.

= Stay current with SailPoint updates and advancements, and recommend improvements and enhancements.

Collaboration and Training:

= Collaborate with business and IT stakeholders to understand requirements and translate them into technical solutions.

= Provide training and support to end-users and internal teams on SailPoint IIQ functionalities and best practices.

Education and Experience:

1. Bachelor’s degree in computer science, Information Technology, or a related field.
2. Minimum of 5 years of experience with identity and access management (IAM) solutions, with a strong focus on SailPoint IIQ.
3. Proven experience in designing and implementing SailPoint IIQ solutions in complex environments.

Technical Skills:

1. Expertise in SailPoint IIQ architecture, configuration, and customization.
2. Strong knowledge of identity governance, compliance, and role-based access control (RBAC).
3. Experience with integration of SailPoint with various systems and applications.
4. Proficiency in Java, XML, SQL, and other relevant technologies.

Certification Preferred:

1 SailPoint IIQ Certification (e.g., SailPoint Certified Implementation Engineer).

2 Other relevant IAM or security certifications (e.g., CISSP, CISM).

Cold calling lead generation

Convincing Skill

Sales closure

Resolve query of customer

Customer relationship

 Job Description: AI/ML Engineer

Location: Bangalore (On-site)  

Experience: 2+ years of relevant experience

About the Role:

We are seeking a skilled and passionate AI/ML Engineer to join our team in Bangalore. The ideal candidate will have over two years of experience in developing, deploying, and maintaining AI and machine learning models. As an AI/ML Engineer, you will work closely with our data science team to build innovative solutions and deploy them in a production environmen

 Key Responsibilities:

- Develop, implement, and optimize machine learning models.

- Perform data manipulation, exploration, and analysis to derive actionable insights.

- Use advanced computer vision techniques, including YOLO and other state-of-the-art methods, for image processing and analysis.

- Collaborate with software developers and data scientists to integrate AI/ML solutions into the company's applications and products.

- Design, test, and deploy scalable machine learning solutions using TensorFlow, OpenCV, and other related technologies.

- Ensure the efficient storage and retrieval of data using SQL and data manipulation libraries such as pandas and NumPy.

- Contribute to the development of backend services using Flask or Django for deploying AI models.

- Manage code using Git and containerize applications using Docker when necessary.

- Stay updated with the latest advancements in AI/ML and integrate them into existing projects.

Required Skills:

- Proficiency in Python and its associated libraries (NumPy, pandas).

- Hands-on experience with TensorFlow for building and training machine learning models.

- Strong knowledge of linear algebra and data augmentation techniques.

- Experience with computer vision libraries like OpenCV and frameworks like YOLO.

- Proficiency in SQL for database management and data extraction.

- Experience with Flask for backend development.

- Familiarity with version control using Git.

 Optional Skills:

- Experience with PyTorch, Scikit-learn, and Docker.

- Familiarity with Django for web development.

- Knowledge of GPU programming using CuPy and CUDA.

- Understanding of parallel processing techniques.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Demonstrated experience in AI/ML, with a portfolio of past projects.

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork skills.

 Why Join Us?

- Opportunity to work on cutting-edge AI/ML projects.

- Collaborative and dynamic work environment.

- Competitive salary and benefits.

- Professional growth and development opportunities.

If you're excited about using AI/ML to solve real-world problems and have a strong technical background, we'd love to hear from you!

Apply now to join our growing team and make a significant impact!

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash

We are looking for a Sr. Engineer DevOps and SysOps, who is responsible for managing AWS and Azure cloud computing.  Your primary focus would be to help multiple projects with various cloud service implementation, create and manage CI/CD pipelines for deployment, explore new services on cloud and help projects to implement them.

Technical Requirements & Responsibilities

1. Have 4+ years’ experience as a DevOps and SysOps Engineer.
2. Apply cloud computing skills to deploy upgrades and fixes on AWS and Azure (GCP is optional / Good to have).
3. Design, develop, and implement software integrations based on user feedback.
4. Troubleshoot production issues and coordinate with the development team to streamline code deployment.
5. Implement automation tools and frameworks (CI/CD pipelines).
6. Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects.
7. Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
8. Optimize the company’s computing architecture.
9. Conduct systems tests for security, performance, and availability.
10. Develop and maintain design and troubleshooting documentation.
11. Expert in code deployment tools (Puppet, Ansible, and Chef).
12. Can maintain Java / PHP / Ruby on Rail / DotNet web applications.
13. Experience in network, server, and application-status monitoring.
14. Possess a strong command of software-automation production systems (Jenkins and Selenium).
15. Expertise in software development methodologies.
16. You have working knowledge of known DevOps tools like Git and GitHub.
17. Possess a problem-solving attitude.
18. Can work independently and as part of a team.

Soft Skills Requirements

1. Strong communication skills
2. Agility and quick learner
3. Attention to detail
4. Organizational skills
5. Understanding of the Software development life cycle
6. Good Analytical and problem-solving skills
7. Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
8. Should have a high level of energy working as an individual contributor and as a part of team.
9. Good command over verbal and written English communication