11+ ESP Jobs in Bangalore (Bengaluru) | ESP Job openings in Bangalore (Bengaluru)

About LH2 Holdings: 

LH2Holdings is an AI Operating System to scale digital content brands and creators. We buy or partner with great digital content brands (web platforms, YouTube channels, apps, podcasts, newsletters, etc) and scale them. LH2 is being built by second-time founders, who have scaled tech platforms with hundreds of millions of users in their previous ventures. Our vision is to enable digital creators to scale as easily as large conglomerates do.

About the Role: 

We’re looking for a dynamic Sales Manager to lead digital media sales efforts across our portfolio. This role is central to driving monetization, including direct ad sales, sponsored content,and premium programmatic opportunities across our digital properties. Given our strong North American audience, experience in the North American market is a distinct advantage. This is an excellent opportunity for growth in a fast-paced startup environment in Bangalore.

Key Responsibilities:

1. Drive the end-to-end sales process from lead generation to closing deals, with a consistent focus on meeting and exceeding monthly and quarterly targets.
2. Oversee a robust sales pipeline using CRM tools like Microsoft Dynamics, conduct outreach, and foster connections with B2B decision-makers, generating impactful solutions.
3. Translate complex advertising concepts into clear, compelling solutions across digital, social media, and programmatic channels, building trusted relationships and demonstrating return on investment.
4. Engage in proactive daily outreach to ensure productive, goal-oriented efforts.
5. Stay informed on industry trends and leverage insights to contribute to revenue growth through up-selling, cross-selling, and innovative proposals.

What You’ll Bring:

1. 2-5 years in B2B sales, ideally within media, publishing, or SaaS sectors. North American sales experience is highly valued.
2. Strong understanding of outreach tools and research platforms to efficiently build and maintain a sales pipeline.
3. Excellent English communication skills, essential for client interactions and internal collaboration.
4. Experience in campaign execution to support seamless alignment with sales and marketing objectives.
5. A proactive, energetic attitude and the ability to thrive in a high-growth startup environment.

Job Title: Insurance Sales (Direct Channel)

Role: FLS ( Front Line Sales )

Total Exp: 3-5 Years

Relevant Exp: 2 years into insurance

Skills: Life Insurance Sales, Health insurance sales, Insurance sales

Locations: East, South, North, and West Zones.

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.

Responsibilities :

• Design, develop Digital communication waveforms like QAM, QPSK, OFDM
• Simulate and analysis link budget, path loss, Noise margins, Coding gain for various path loss models.
• Should be strong in signal processing, AGC, Channel encoding, Channel estimation, Collision detection.
• Jointly work with other PHY development teams for implementing the designs.
• Should have knowledge in legacy modulation techniques like FM and AM