11+ Qualitative research Jobs in Pune | Qualitative research Job openings in Pune

About Company

Our client works in the area of skilling and livelihoods for underserved youth. It is a pioneering program with a strong PPP model, an agency-led

approach to livelihoods and a vision of socio-economic transformation. The NGO runs through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together toward changing lives.

Responsibilities

● Design and execution of research into the impact of an agency-led approach to livelihoods.

● Design and execution of the appropriate baseline surveys in communities.

● Gaining an in-depth understanding of the impact of the NGO program at the community level.

● Identification of research partners as required.

● Building tools and systems for monitoring and evaluation of the Lighthouse program and guiding the work of the data & reporting team.

● Data quality audits for program-specific data across the organization.

Requirements

● Master’s degree in statistics or economics with a specialization in statistical methods, or social sciences with training in qualitative and quantitative research methods.

● Minimum 5 years of work experience in the social sector/ corporate sector.

● Critical thinking

● Analytical ability

● Result orientation

● Excellent written and oral communication in Hindi and English (Knowledge of Marathi

will be an added advantage)

● Creativity

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Expected Scope of work / Responsibilities:

Support as process expert for designing the process template in managing the SAP projects

General Requirements:

•    Implementation Experience: Minimum of two end-to-end SAP EWM implementations.

•    Support Experience: At least two projects involving post-go-live support or full-time support roles.

•    Rollout Experience: Understanding of template rollout methodologies.

•    Integration & Interface Expertise: Hands-on experience with IDOCs, CIF, RFC for setup and issue resolution.

•    Solution Design: Ability to translate customer requirements into EWM solutions effectively.

Technical Expertise (6–10 years):

•    EWM Versions: Experience in SAP EWM 9.5 and S/4HANA Embedded EWM, with at least one year in S/4HANA.

•    Functional Specifications: Ability to prepare Functional Specs for EWM developments.

•    EWM-ERP Integration: Expertise in EWM-ERP integration setup and configuration.

•    EWM Features: Must have hands-on experience with all mandatory EWM features (as per provided reference).

•    Nice to Have: Knowledge of Value-Added Services (VAS) and Automated Warehouse processes.

Process Knowledge & Experience:

•    Inbound, Outbound, Warehousing, and Packaging: Must be strong in at least one process area, with good knowledge of the other three.

o    Definition of "Strong": Ability to list worked-on processes, explain customer requirements, and describe how the process meets business needs.

•    Process Variants: Understanding of process variations for different business scenarios.

•    EWM Production Integration: Good knowledge of production replenishment processes and integration features.

Industry Expertise:

•    Auto/Manufacturing Industry: Minimum two years of experience working in EWM within automotive or manufacturing industries.

Role Overview:

•    Position: Customer-Facing SAP EWM Functional Consultant.

•    Function: Serve as a Process Solution Expert, supporting Plant Users in addressing queries and issues.

Key Responsibilities:

•    Customer Engagement:

o    Conduct gap analysis and identify new business requirements.

o    Collaborate with the Process Responsible team to develop new solutions.

•    User & Process Support:

o    Assist Plant Key Users & Plant Users in testing phases (Unit, Integration, UAT).

o    Support data migration activities (Test Migration, Productive Migration).

o    Conduct training sessions for Key Users.

o    Provide Hypercare Support post go-live.

o    Troubleshoot defects during testing and post-go-live phases.

Certifications (Preferred):

•    SAP EWM Certification with knowledge of:

o    Embedded EWM

o    Decentralized EWM

•    Optional: SAP WM Certification

Soft Skills & Competencies:

•    Strong verbal and written communication skills in English.

•    Ability to troubleshoot and resolve issues independently.

•    Proficiency in MS Office (Excel, PowerPoint, etc.).

•    Strong collaboration skills to work with internal and external customers effectively.

Travel Requirements:

•    Willingness to travel for short-term business trips (up to 4 weeks) domestically and internationally.

Nice to Have:

•    Exposure to SAP Transportation Management (SAP TM).

Total Experience: 3 to 15 Years

Notice period: Immediate to 30 Days.

Responsibilities:

Implementation of Manufacturing, Costing, Planning Central, Demand Management, Sales and Operation Planning in Oracle ERP.

Drive requirement gathering, Fit-Gap, Solution Design, Build, CRP, SIT, UAT, Cutover/Go-Live and postproduction support for above applications.

Perform configuration/Application setups.

capturing solution design, configuration, documentation, and post-production support.

Responsible for roll out of all Oracle modules for new State operations.

Training the new users and preparation of user manuals

• Expertise in test planning and test strategy design for various types of testing - integration testing, functional testing, system testing and regression.

• Ability to quickly learn the functional aspects of the project & be the quality gatekeeper for the code release.

• Experience in testing the developed UI pages against the UX design to ensure the experience is realised. 

• Experience in creating knowledge artifacts and authoring guides for end-users

• Experience in creating test scenarios, test cases, traceability

• Hands-on experience with JIRA, WIKI, or Zephyr applications

• Understanding and working knowledge in Scrum Methodology

• Experience in Web,mobile, cross browser and device testing.

• Experience in Automation testing with Java and Selenium

• experience in frameworks like TestNG and Cucumber

Job Title:   Python Developer

Job Location: Pune ( Baner)

Experience: 4 to 8 years

Notice Period: 1 Month or Less

Skills: Python (Django, Flask), MySQL, Strong focus on OOPS and Architecture, Bitbucket/GitHub, NoSQL

Technical Requirements:

• Experience in developing web applications and APIs(REST, XML, other open sources)
   
• Strong programming foundation in Python, MYSQL & OOPS Experience in Django/Flask
• Experience & Good understanding of HTML5, CSS3, Bootstrap, Ajax, JS etc while experience on Angular, Node JS will be an added advantage.
• Solid exposure of API integrationsand familiar with various design & architectural patterns.
   
• In depth knowledge of Source Code Repository and experience working with Bit-bucket.
• Experience working on Apache HTTP or any other web/app server.
• Hands on experience in DB design, Architecture, coding, unit testing and debugging.
• Experience working in an Agile development environment.
• Sound in data structure analysis and algorithm design.
• Ensure cross-platform compatibility of information retrieved from web services on Android and iOS platforms, in terms of Push Notifications, platform-specific issues, etc
• Good knowledge of relational databases, version control tools and of developing web services.
• Strong understanding of the software development life cycle and best practices

Roles and Responsibilities:

• Should be a problem solver with an attitude to contribute towards the success of Team/Project as well as organization.
• Should be able to guide other members in the team
• Should take initiatives to improve code quality standards and team efficiency.
• Should be able to Participate in the requirements gathering and come up efficient solutions
• Should be able to Efficiently estimate on high and low level along with assessing risk items