AR Caller | Ernakulam

Role Description

This is a volunteer remote Flutter unpaid internship role at TheCodersHub. The intern will be involved in day-to-day tasks related to Flutter development, assisting in app development projects, learning new technologies, and collaborating with team members remotely.

Qualifications

• Flutter development skills
• Experience in mobile app development
• Basic knowledge of software development
• Interest in learning and growing in the tech industry
• Excellent problem-solving skills
• Ability to work independently and remotely
• Enrolled in or recent graduate from a relevant technical or computer science program

Benefits You’ll Receive:

• Live Project Experience: Work on real-world projects to boost your practical knowledge.
• Mentorship: Receive guidance from experienced developers to enhance your skills.
• Internship Certificate: Awarded upon successful completion of the internship.
• Skill Development: Improve your expertise in Flutter, state management, and project collaboration.

Roles and Responsibilities

1.

Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.

Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.

Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.

Oversee and facilitate MHFAI instructors for training and upskilling.

5.

Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.

Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.

Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.

Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.

Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10.

Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11.

Provide support in other operational functions of MHFA as needed.

Requirements:

•

3-15 years in clinical work and / or mental health training

•

Qualification: Msc. Counselling Psychology

Msc. Applied Psychology (any specialization, preferably HR Specialization )

•

Experience in Clinical Practice / Research

•

Exposure to mental health training and created content or training on Mental Health for Adult

•

Experience of having previously worked in organized group is desirable

Education and/or Experience:

Graduation/Post Graduation with minimum 1 to 3 years’ experience in the complete recruitment life

cycle for sourcing the best talent from diverse sources after identification of manpower requirement.

Language Skills: Proficiency in English (Written and Verbal)

Good understanding of MS Office.

JOB DESCRIPTION

Objectives:

1. Experience in Social Media Hiring and Boolean/String Searches & Talent Mapping

2. Updating candidate records and job postings in Applicant Tracking Systems.&

coordinating interview drives on a specified date

3. Regular meeting with the Hiring Managers to discuss the details about the

requirements and about their hiring plan.

4. Working on the sourcing plans for recruitment, referral schemes, vendor management etc

5. Involve in market analysis to provide inputs to delivery and to the

current market scenario and suggest alternate ways to successfully fulfill the positions

when faced with challenges.

6. Managing Pipelines.

7. Candidate Management.

8. Facilitating the initial round of screening, appraising the candidate on company

expectation and negotiating salary and perks.

9. Pre-employment check and Employment E-flow Process handing

• Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
  • programmatically ingesting data from several static and real-time sources (incl. web scraping)
  • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
  • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment

• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Ensure data architecture is secure and compliant
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

•  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
• Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
• Expert in shell scripting and writing schedulers
• Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
• Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
• Strong knowledge of data security best practices
• 5+ years experience in a data engineering role
• Science / Engineering graduate from a Tier-1 university in the country
• And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep

• Building interactive consumer data from multiple systems and RESTfully abstracting to the UI through a Node.js backend
• Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient systems