11+ E-learning Jobs in Chennai | E-learning Job openings in Chennai

🚀 Job Title: E-commerce & Digital Marketing Executive

📍 Location: Chennai

🎯 Age: 25 to 30 years

👨 Gender: Male candidates only

🎓 Education: Bachelor’s / Master’s degree in Marketing, Business, or related field

💼 Experience: 2 to 5 years in digital marketing, preferably in e-commerce or FMCG

Job Description

🔹 Key Responsibilities:

📝 Process purchase orders on e-commerce portals & coordinate with logistics for timely deliveries.

💰 Follow up on payments & quarterly reconciliation of outstanding dues.

📌 List new SKUs, remove obsolete products & optimize inventory management.

🎯 Manage advertising budgets & performance marketing across Amazon, Blinkit, Zepto, Swiggy & Big Basket.

📊 Plan & execute AMS campaigns, optimize bids & analyze performance metrics (ACOS, ROAS, CTR).

🌐 Implement SEO strategies & manage website content for better organic rankings.

📢 Run social media campaigns on Facebook, Instagram, LinkedIn & track engagement.

📈 Monitor e-commerce sales, analyze data & optimize digital marketing strategies.

✅ Requirements:

✔️ Hands-on experience with AMS, Google Ads, Meta Ads & Quick Commerce platforms.

✔️ Strong knowledge of SEO, PPC, analytics & performance marketing.

✔️ Proficiency in Google Analytics, Meta Business Suite & Amazon Seller Central.

💡 If you're ready to drive e-commerce growth, apply now! 🚀

recruit.hrlspl

Position - Content Editor

Experience - 3-5years

Keen eyes that can refine news stories to uphold industry standards are what we are looking for.

Job Requirements

• Oversee and manage the daily operations of the newsroom, ensuring the timely publication of news articles.
• Helping and assisting the digital marketing team in framing content strategies.
• Source, assign, and review news articles, ensuring accuracy, clarity, and adherence to editorial guidelines.
• Monitor industry trends, breaking news, and regulatory updates to ensure comprehensive coverage.
• Collaborate with the social media and multimedia teams to enhance content distribution.
• Manage newsroom workflows, set deadlines, and provide editorial direction to the team.
• Conduct meticulous final checks to catch any errors, inaccuracies, or formatting issues.
• Collaborate with writers to address feedback and make necessary revisions.
• Utilize content management systems (CMS) to publish and schedule articles and multimedia content.

Qualifications

• Bachelor's degree in Journalism, English, Communications, or a related field.
• Proven experience as an editor in a crypto media platform.
• Exceptional command of the English language, with strong writing and editing skills.
• Proficiency in using content management systems (CMS).

Nice to Have

• Experience in working with a team of journalists or any news media platform related to fintech.
• Ability to find and fetch trending news using social media channels like Twitter, Reddit, Telegram, and other open-source platforms.
• Exposure to modern technologies like AI, blockchain, and Web3.

Perks:

• Opportunities for professional development and career growth.
• A supportive and collaborative work environment.
• Yearly Bonus
• Provident Fund

Note: Send your Resume attached with Portfolio

We are also accepting application for this profile from News Editor Freshers both junior and seniors positions.

Approach us early by filling out this form: https://forms.gle/iV4cvNqbeNgmuSxq5

Let’s get started on building your path to success!

International Sales Manager (Service Sales)

Location: Indore, India

Experience: 5+ years in international B2B service sales

Industry: IT Services

Key Responsibilities:

• Generate leads and build a strong pipeline of potential US clients for service-based offerings
• Conduct outbound calls, emails, and LinkedIn outreach to identify business opportunities
• Present services and solutions effectively to key decision-makers
• Understand client needs and propose customized service solutions

Key Responsibilities:

• Generate leads and build a strong pipeline of potential US clients for service-based offerings
• Conduct outbound calls, emails, and LinkedIn outreach to identify business opportunities

Key Responsibilities:

• Build and maintain strong relationships with Authorized Partners (APs).
• Drive business growth and enhance partner revenue.
• Provide training, mentoring, and activation support for business partners.
• Ensure compliance with regulatory and procedural standards.
• Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.
• Engage, motivate, and develop business partnerships.
• Deliver service excellence and meet key business KPIs.

Requirements:

• Minimum 1 year of experience in broking/financial markets.
• Strong communication & relationship management skills.
• Good knowledge of financial markets & trading.
• Comfortable working in a target-driven environment.

Responsibilities:

Lead the design and development of sophisticated, high availability, and secured

server-side applications with a primary focus on Golang.

● Collaborate with cross-functional teams to understand requirements, architect

solutions, and deliver high-quality software products.

● Mentor and guide junior engineers, sharing your engineering expertise and best

practices to foster skill development within the team.

● Analyze and optimize performance, scalability, and reliability of existing Golang

applications, making strategic improvements where necessary.

● Design and implement automated unit and integration tests to ensure code quality,

maintainability, and stability.

● Stay up-to-date with the latest advancements in software technologies,

recommending their adoption when appropriate.

● Champion code reviews, architectural discussions, and technical documentation to

maintain high development standards.

● Troubleshoot and resolve complex issues, providing innovative solutions to overcome

challenges.

● Contribute to the recruitment and hiring process by participating in interviews,

evaluating candidates, and providing input on hiring decisions.

Requirements

Bachelor's or Master's degree in Computer Science, or a related field.

● 3+ years of experience in software development, with substantial experience in

Golang and cloud infrastructure.

● Expert-level proficiency in designing and developing high-performance, concurrent

applications with Golang.

● Experience with distributed systems, microservices architecture, and containerization

(e.g., Docker, Kubernetes).

● Solid knowledge of software testing methodologies and tools, including unit testing

and integration testing for Golang applications.

● Demonstrated ability to lead projects, collaborate effectively with teams, and mentor

junior engineers.

● Excellent problem-solving and analytical skills, with the ability to tackle complex

technical challenges.

● Having prior experience in the FinTech domain would be an added advantage.

• About Team Sequoia

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.