Inside Sales Manager

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL,

Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a

company.

Job Role: Senior Social Media Account Manager

Experience Level: 3+ years in Agency set-up

Location: Bangalore, On-site

Job Description:

● Create campaign strategies and monitor the execution to achieve the brand objectives.

● Manage social handles of the brand, like Instagram, Facebook, LinkedIn, X etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● In-depth knowledge of social media marketing, market trends, integration of online with

offline marketing and reporting.

● Measure the success of every social media campaign, as per required metrics.

● Work with copywriters and designers to ensure content is well-suited and appealing to the

defined target group for respective brands.

● Communicate with industry professionals and 3rd party vendors if and when required.

● Provide constructive feedback to the team(copy & design) to achieve desired results.

Requirements:

1. Bachelor's degree in Marketing, Communications, or a related field (Master's degree preferred).

2. 3+ years of proven experience in social media management within a client-based agency or related environment.

3. Demonstrated success in devising and executing impactful social media strategies for a variety of clients.

4. Excellent written and verbal communication skills, conveying ideas clearly to internal teams and clients.

5. Profound understanding of social media platforms, algorithms, content formats, and best practices.

6. Proven track record of generating exceptional results via integrated marketing strategies(online+offline).

Job Title: Graphic Designer

Job Type: Full Time

Location: Indore

Summary/Objective:

We are seeking a highly skilled Graphic Designer to join our dynamic team at Avalon Solutions, preferably with expertise in the fashion & luxury sector. The ideal candidate will be proficient in utilizing AI tools for creative designs and have a strong skill set for creating compelling visuals for social media and digital platforms.

Responsibilities/Duties:

1.   Design Creation:

• Create innovative, high-end designs for various luxury products, tailored for social media graphics and website elements, good to have experience in jewelry industry.
• Collaborate with marketing and other teams to grasp project requirements and objectives.
• Incorporate cutting-edge design techniques, including AI tools, to produce innovative visuals.

2.   Brand Consistency:

·        Create engaging content for social media platforms and digital marketing campaigns.

·        Ensure designs are optimized for different platforms and adhere to brand guidelines.

·        Work closely with the marketing team to contribute to the evolution of the brand identity.

3.   Software Proficiency:

·        Proficiency in graphic design software such as Adobe Photoshop, Illustrator, InDesign, and experience with AI design tools.

·        Stay updated on industry trends and design tools to enhance creativity and efficiency.

·        Excellent skills in color theory, typography, and layout design.

4.   Feedback Incorporation:

·        Receive and incorporate feedback from stakeholders into design iterations.

·        Present design concepts and ideas to team members for review and approval.

5.   Project Management:

·        Manage multiple design projects simultaneously and meet deadlines.

·        Collaborate with other designers and cross-functional teams to ensure project success.

Qualifications/Requirements:

Education:

·        Bachelor’s degree in Graphic Design, Visual Arts, or a related field.

Experience:

·        1 to 3 years of professional graphic design experience.

·        Experience in the e-commerce, jewelry or luxury industry is ideal.

·        Good to have experience in marketing or advertising agency.

Skills:

·        Strong creative and conceptual thinking.

·        Excellent communication and collaboration skills.

·        Ability to work collaboratively and independently.

·        Attention to detail and the ability to work independently.

How to Apply:

Kindly send your updated resume and your portfolio link. In your portfolio, highlight projects relevant to the luxury industry, especially any work related to jewelry design.

Contact us:

Avalon Solutions Pvt. Ltd.

PSP - 11, Scheme 78, Vijay Nagar, Indore 452010, MP

www.AvalonSolution.com

About the Role:

We are seeking a skilled Data Engineer to join our growing AdTech team. In this role, you will design, build, and maintain high-performance ETL pipelines and large-scale data processing systems. You will work with massive datasets and distributed frameworks to power Adsremedy’s data-driven advertising solutions across Programmatic, In-App, CTV, and DOOH platforms.

What You’ll Do:

• Design, develop, and maintain scalable ETL pipelines on self-managed infrastructure
• Process and optimize large-scale datasets (terabytes of data) with high reliability and performance
• Build robust data processing workflows using Apache Spark (preferred) and/or Apache Flink
• Integrate, clean, and transform data from multiple internal and external sources
• Partner closely with data scientists, analysts, and business stakeholders to enable actionable insights
• Monitor, troubleshoot, and optimize data pipelines for operational excellence
• Ensure data quality, consistency, and performance across all data workflows
• Participate in code reviews and uphold best practices in data engineering
• Collaborate with QA teams to deliver production-ready, reliable systems
• Mentor junior engineers and promote knowledge sharing within the team
• Stay current with emerging data engineering tools, frameworks, and industry trends

What You’ll Need:

• 2+ years of experience building ETL pipelines using Apache Spark and/or Apache Flink
• Hands-on experience with big data caching solutions such as ScyllaDB, Aerospike, or similar
• Strong understanding of data lake architectures and tools like Delta Lake
• Proven experience handling terabytes of data in distributed environments
• Proficiency in Scala, Python, or Java
• Experience working with cloud data platforms (AWS S3, Azure Data Lake, Google BigQuery)
• Strong knowledge of SQL, data modeling, and data warehousing concepts
• Familiarity with Git and CI/CD workflows
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

Nice to Have

• Experience with Apache Kafka for real-time data streaming
• Familiarity with Apache Airflow or similar orchestration tools

Company: JetSynthesys

• Qualification – Graduate / B.Com
• Gender – Male

• Experience – 2 to 3 Years
  • Knowledge of MS Excel and Email
  • Knowledge of Tally would be added advantage

• Language—Tamil (must) and English
• Salary – 22-25K per month
• Joining – Immediate

Job Location in Chennai ( Work From Office )

• • Working Days – 6 Days a week
  • Timing – 9:30am to 6:30p

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Required Skills:

•           Basic understanding of machine learning concepts and algorithms

•           Proficiency in Python and relevant libraries (NumPy, Pandas, scikit-learn)

•           Familiarity with data preprocessing techniques

•           Knowledge of basic statistical concepts

•           Understanding of model evaluation metrics

•           Basic experience with at least one deep learning framework (TensorFlow, PyTorch)

•           Strong analytical and problem-solving abilities

Application Process: Create your profile on our platform, submit your portfolio, GitHub profile, or sample projects.

https://www.talentlo.com/

Location : Gulbai tekra Ahmedabad

Salary: 15k to 25k

Only Female candidate

Experience 1 to 2 yrs

Only Ahmedabad based candidate

10 to 7 job time

Only Personal interview will be taken

Immediate joiner

6 days working