Helpdesk Executive

• 5+ years of experience working with MySQL Databases, including the community edition
• Advanced understanding of Linux OS
• Can use SSH to connect to remote systems with password & public/private keys
• Deep understanding of systems performance
• Understand automation concept to speed up the work: Ansible
• Advanced knowledge on InnoDB internals
• Expert knowledge of Performance Schema
• Knows how to optimize queries/schemas
• Deep understanding of replication and clustering
• Knows backup solutions and strategies
• Knows HA solutions and strategies
• Knows proxy usage as it relates to MySQL
• Designs and executes overall database architecture strategy, standards and practices.
• Works closely with project teams to develop data models that support business processes.
• Works with application development to ensure database changes adhere to best practices and are properly prioritized and scheduled.
• Supports all areas of the enterprise - ensures that all databases run at optimal performance
• Proactively identifies and troubleshoots databases performance issues
• Ensures that industry wide security standards are properly implemented

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:

·      4-12 years in clinical work and / or mental health training

·      Qualification: Education in Mental Health

·      Experience in clinical work, very good excel, analytical and writing skills

·      Exposure to mental health training

·      Experience of having previously worked in organized group is desirable

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

About Company

Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Roles & responsibilities

• Onboarding, Handling, and Managing HNI / Ultra HNI clients.

• Accountable to achieve Annual revenue, AUM & Strategic product targets in the respective geography. 

• Aiming for consistent growth of customer wallet share and book size.

• Advising and meeting clients on their business and investment needs based on their risk appetite and performance objective through various structuring solutions.

• Constantly review client portfolios and give a bird’s eye view.

• Ability to work in partnership with Federal Bank and drive leads & AUM.

• Service existing clients with the support of the client servicing team

• Adherence to all regulatory, statutory, and corporate compliance standards 

Requirements

• 8+ years of experience in the Wealth Management space

• Must have completed an MBA from a premier business school.

• Should have a sound understanding of Wealth Management Products (MF, Bonds, PMS, AIFs, PE, etc.) & markets.

• English is mandatory and command of the local language would be beneficial. 

• Ability to work in tandem with our channel partner and generate leads & business. 

• Good communication and presentation skills

Requirement:

• Min 2-3 Year Experience. Preferably in the E-commerce domain. 
• Proficient with both MySQL and NoSql Databases (Elastic, Mongo)
• Strong hold on PHP and preferably good knowledge of Python
• Experience with JavaScript/JQuery
• Ability to do software design for a enterprise web application
• Working knowledge of a MVC front-end framework
• Proficient in HTTP protocol, REST APIs, JSON
• Ability to do database design and modeling
• Proficient in OOPS concepts and writing code using classes
• Ability to write modular and clean code

Role:

• Software Development of various product line 
• Creation web-services and optimization for existing and new feature rollouts
• Collaborate with Product Managers and design solutions 
• Develop very high sense of ownership, the zeal to build scalable applications
• Build customer facing technology product 
• Individual Contributor

What you need to have: