Senior MES developer

∙Need 8+ years of experience in Devops CICD 

∙Managing large-scale AWS deployments using Infrastructure as Code (IaC) and k8s developer tools 

∙Managing build/test/deployment of very large-scale systems, bridging between developers and live stacks 

∙Actively troubleshoot issues that arise during development and production 

∙Owning, learning, and deploying SW in support of customer-facing applications 

∙Help establish DevOps best practices 

∙Actively work to reduce system costs 

∙Work with open-source technologies, helping to ensure robustness and secureness of said technologies 

∙Actively work with CI/CD, GIT and other component parts of the build and deployment system 

∙Leading skills with AWS cloud stack 

∙Proven implementation experience with Infrastructure as Code (Terraform, Terragrunt, Flux, Helm charts) 

at scale 

∙Proven experience with Kubernetes at scale 

∙Proven experience with cloud management tools beyond AWS console (k9s, lens) 

∙Strong communicator who people want to work with – must be thought of as the ultimate collaborator 

∙Solid team player 

∙Strong experience with Linux-based infrastructures and AWS 

∙Strong experience with databases such as MySQL, Redshift, Elasticsearch, Mongo, and others 

∙Strong knowledge of JavaScript, GIT 

∙Agile practitioner 

Overview

We at PEMS digital aim to create a smarter, greener tomorrow for you, with your expertise. All of us are guided by

finding and employing efficient data handling to push the frontiers of human engagement, whether it be with

infrastructure, mobility, logistics or the myriad of other industries we hope to expand into. We believe in visualizing

the technology of tomorrow today, and thus, priorities the attitudes of collaboration, creation and adaptability to

create an ecosystem that will foster talent.

Role Overview:

We are seeking a dynamic and motivated Presales (Inside Sales) Intern to join our team for a 3-month internship.

This role is perfect for individuals looking to gain hands-on experience in sales processes, client engagement, and

lead generation

Key Responsibilities:

 Conduct market research to identify potential clients and key decision-makers.

 Assist in lead generation and prospecting activities using various tools and platforms.

 Reach out to prospects via calls, emails, and social media to introduce company products/services.

 Support the sales team in preparing proposals, presentations, and sales collateral.

 Schedule meetings and product demos for the sales team.

 Maintain and update CRM systems with accurate lead and customer information.

 Collaborate with marketing to align lead generation efforts with campaigns.

 Track and report on outreach and lead generation metrics.

Qualifications:

 Pursuing or recently completed a degree in Business, Marketing, Sales, or a related field.

 Strong communication and interpersonal skills.

 Basic understanding of sales principles and customer relationship management.

 Self-motivated, goal-oriented, and eager to learn.

 Ability to multitask and manage time effectively.

What You'll Gain:

 Hands-on experience in presales and inside sales processes.

 Exposure to sales tools and CRM platforms.

 Opportunity to develop client engagement and communication skills.

 Mentorship and guidance from experienced sales professionals.

 A chance to convert the internship into a full-time role based on performance.

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.

RESPONSIBILITIES:-

 As a  Business   Development  Manager   working under   FMCG   segments, an ideal candidate must perform the following responsibilities:

·      Approaching  potential  leads  a  close  them  within  a  stipulated  time  frame.

·      Create  exclusive  distributors,   exclusive super stockist and business associated for the company towards business growth.

·      Finding and developing new markets and improving sales.

REQUIREMENTS:

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

·       Experience in sales, marketing or related field.

·       Strong communication skills.

Excellent organisational sk