Key Responsibilities:
● Support the SDR pipeline by researching, prospecting, and qualifying leads across advertising agencies, brands, and DSP partners
● Assist in outreach campaigns via email, LinkedIn, and calls to schedule discovery meetings for the sales team
● Track and maintain CRM data, ensuring lead records, notes, and pipeline stages are updated accurately
● Conduct audience, competitor, and market research to support media planning and pitch preparation
● Help create pitch decks, one-pagers, and client-facing communications under guidance of account managers
● Monitor campaign performance metrics and assist in preparing reporting summaries
● Attend client and agency meetings, take structured notes, and contribute ideas where relevant
● Stay updated on trends in programmatic advertising, Agentic AI, DSP/SSP/DMP innovations, and the OOH industry

Skills & Qualifications:
● Bachelor’s degree completed or currently pursuing in Communications, Media Studies,
Marketing, Business, or related field
● Strong interest in advertising, media planning, or sales
● Previous internship or agency/media company experience is a plus
● Excellent written and verbal communication skills
● Strong research and analytical abilities
● Organized, detail-oriented, and able to manage multiple tasks
● Familiarity with Excel, Google Sheets, Canva, or CRM tools is an advantage
● Self-starter mindset with willingness to learn and take initiative

WHY LEMMA:
● Be part of the tremendous growth of Agentic AI-driven programmatic advertising
● Join the core U.S. sales team and contribute to triple-digit growth opportunities
● Gain real exposure to global DSP partnerships, agency relationships, and live digital campaigns
● Learn from experienced sales and media planning professionals
● Meritocratic culture where performance is recognized and rewarded
● Potential for a full-time opportunity based on performance
● Corporate healthcare insurance coverage
● Unlimited PTO

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: QA Lead
Relevant Experience: 6-8 years
Job Location: Pune
Qualifications: ME/BE Computer/IT Engineering, MCS/MCA

Test Automation Engineer Responsibilities:
● Automated Testing: Develop, maintain, and execute automated test scripts using industry-standard tools and frameworks to ensure the quality and stability of software releases.
● Test Planning: Collaborate with cross-functional teams to understand project requirements, define test cases, and create comprehensive test plans for different software components.
● Framework Development: Design, build, and enhance automation frameworks that allow for efficient and effective testing across various platforms and devices.
● Bug Reporting: Identify, document, and report software defects and anomalies in a clear
and concise manner, using appropriate bug tracking tools.

Test Automation Engineer Responsibilities:
● Candidate should have a strong background in software quality assurance
● Proven track record in designing, implementing, and maintaining automated testing frameworks.
● The QA Automation Engineer will play a critical role in ensuring the quality and reliability of our software products.

Technical Skills:
● Proficiency in automated testing tools such as cypress, Pytest.
● Experience with version control systems (e.g., Git) and continuous integration tools (e.g., Jenkins, Travis CI).
● Familiarity with API testing and tools like Postman or REST Assured.
● Understanding of software testing methodologies, testing types, and best practices.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Publisher Partnership Manager
Relevant Experience: 8+ years in any field
Job Location: Pune
Qualifications: ME/BE Computer/IT Engineering, MCS/MCA

Roles & Responsibilities:
● Build and grow deep, strategic partnerships with media owners in Global Market.
● Strengthen relationships with key supply stakeholders to unlock revenue opportunities across multiple facets of the supply partners’ business.
● Handle day-to-day queries/concerns through continuous relationship management and account growth.
● Maximize publisher success and revenue through training and support.

Skills Required:
● Strong Excel skills
● Strong presentation skills
● Knowledge about the programmatic ecosystem will be an add-on.
● Experience working at a fast-growing startup or experience in DOOH is preferred, but not required
● Bachelor’s degree

Preferred Skills:
● Highly skilled in problem-solving
● Self-starter with a team player attitude
● Excellent written and verbal communication
● Positive attitude and passion for your work
● Ability to thrive in fast-paced environments
● Customer-first mindset, with a willingness to go above and beyond to service end clients

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Senior / Lead Machine Learning & AI Engineer
Relevant Experience: 6-9 years
Job Location: Pune / Hybrid
Department: Engineering – AI & Machine Learning
Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related technical discipline. A Master’s degree is preferred but not mandatory for candidates with strong production experience.

About the Role:
We are looking for a Senior / Lead Machine Learning & AI Engineer to define, build, and productionise ML and AI capabilities across Lemma’s advertising platform.
This is a hands-on technical leadership role. You will work on ambiguous, high-impact problems involving large-scale advertising data, real-time decision systems, optimisation, forecasting, and Generative AI.
You will be responsible not only for developing models, but also for designing reliable ML systems, defining evaluation strategies, influencing the product roadmap, mentoring engineers, and ensuring that ML investments produce measurable business outcomes.

Key Responsibilities:

ML and AI Solution Ownership
● Own ML and AI initiatives from business-problem discovery through experimentation, production deployment, and continuous improvement.
● Translate advertising and platform challenges into clearly defined ML problems, metrics, and technical roadmaps.
● Architect solutions for use cases such as:

• Real-time bid-response prediction
• Dynamic floor-price and margin optimisation
• Campaign pacing and delivery optimisation
• Inventory, demand, impression, and revenue forecasting
• Audience modelling and lookalike generation
• Supply-path and traffic-quality optimisation
• Invalid-traffic and anomaly detection
• Creative intelligence and contextual classification
• Recommendation and ranking systems
• Automated campaign planning and optimisation

Production ML Engineering
● Design scalable training, feature-engineering, model-serving, and monitoring architectures.
● Develop batch, streaming, and low-latency inference systems.
● Establish standards for model versioning, reproducibility, deployment, rollback, observability, and governance.
● Ensure ML services meet production expectations for latency, throughput, availability, accuracy, and cost.
● Work with platform engineers to integrate models into real-time ad-serving and decision- making workflows.
● Design systems that combine traditional ML, optimisation algorithms, and business rules where appropriate.
● Define offline and online evaluation frameworks for ML initiatives.
● Design A/B tests, holdout experiments, and incremental-impact measurement.
● Connect model metrics with business outcomes such as:

• Win rate
• Response rate
• Fill rate
• Revenue
• Publisher yield
• Advertiser ROI
• Campaign delivery
• Margin
• Forecast accuracy
• Operational efficiency

● Investigate model degradation, bias, drift, unexpected behaviour, and production discrepancies.

Generative AI and Intelligent Automation
● Architect production-grade Generative AI systems using LLMs, embeddings, retrieval, structured data, and tool-based agents.
● Build AI capabilities for campaign planning, analytics, reporting, inventory discovery, engineering productivity, and operational automation.
● Evaluate models and frameworks based on accuracy, latency, cost, privacy, reliability, and maintainability.
● Establish guardrails, evaluation datasets, human-approval workflows, and monitoring for AI-generated outputs.
● Identify where deterministic systems or traditional ML are more appropriate than Generative AI.

Required Skills:
● 6–9 years of professional experience in Machine Learning, Applied AI, Data Science, or ML Engineering.
● Demonstrated experience deploying and operating ML models in production.
● Expert-level Python programming skills.
● Strong software-engineering fundamentals, including:

• Data structures and algorithms
• Object-oriented and modular design
• API development
• Testing and code quality
• Distributed-system fundamentals
• Performance and reliability engineering

● Strong knowledge of:

• Classification, regression, ranking, and recommendation systems
• Time-series forecasting
• Optimization techniques
• Statistical inference and experimentation
• Feature engineering and model evaluation
• Model explainability, drift, and monitoring

● Hands-on experience with frameworks and tools such as:

• Scikit-learn
• XGBoost, LightGBM, or CatBoost
• PyTorch or TensorFlow
• Pandas and NumPy

● Advanced SQL skills and experience working with high-volume datasets.
● Experience designing batch and real-time data or ML pipelines.
● Experience building model-serving APIs and scalable inference systems.
● Strong understanding of cloud infrastructure, containers, CI/CD, and production observability.
● Ability to balance model sophistication with latency, cost, explainability, and business impact.
● Strong written and verbal communication skills.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Senior / Lead Machine Learning & AI Engineer
Relevant Experience: 2-5 years
Job Location: Pune
Department:  Engineering – AI & Machine Learning
Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related technical discipline. Equivalent practical experience will also be considered.

About the Role:
We are looking for a hands-on Machine Learning / AI Engineer who can convert business problems into production-ready ML and AI solutions.
You will work closely with Product, Engineering, Data, and Ad Operations teams to develop models, data pipelines, APIs, experiments, and intelligent automation systems for Lemma’s advertising platform.
This role is suitable for someone who enjoys working across data exploration, model development, software engineering, experimentation, and production deployment.

Key Responsibilities:
● Analyse large advertising datasets to identify patterns, opportunities, and anomalies.
● Build and evaluate machine learning models for use cases such as:

• Bid-response and win-rate prediction
• Inventory and campaign forecasting
• Floor-price and margin optimisation
• Audience classification and targeting
• Traffic-quality and anomaly detection
• Campaign pacing and performance optimisation
• Creative and inventory intelligence

● Develop data preprocessing, feature-engineering, training, and inference pipelines.
● Build APIs and services to integrate ML models with production applications.
● Design offline evaluations and online experiments to measure model impact.
● Monitor model accuracy, drift, latency, reliability, and business KPIs.
● Work with structured, semi-structured, geospatial, time-series, and event-stream data.
● Contribute to Generative AI use cases involving:

• Retrieval-Augmented Generation
• AI agents and workflow automation
• Campaign-planning assistants
• Natural-language interfaces for analytics and reporting

● Collaborate with backend engineers to deploy models in scalable, low-latency environments.
●Document experiments, assumptions, model behaviour, APIs, and deployment processes.
● Participate in code reviews, design discussions, testing, and production troubleshooting.

Required Skills:
● 2–5 years of professional experience in Machine Learning, Data Science, Applied AI, or a related engineering role.
● Strong programming skills in Python.
● Good understanding of:

• Supervised and unsupervised learning
• Classification, regression, clustering, and ranking
• Feature engineering and model evaluation
• Statistics and probability
• Time-series analysis and forecasting

● Hands-on experience with libraries such as:

• Pandas
• NumPy
• Scikit-learn
• XGBoost, LightGBM, or CatBoost

● Working knowledge of deep-learning frameworks such as PyTorch or TensorFlow.
● Strong SQL skills and experience working with large datasets.
● Experience building REST APIs or backend services using Python frameworks such as FastAPI or Flask.
● Familiarity with Git, Docker, Linux, unit testing, and CI/CD practices.
● Ability to explain model outcomes and technical findings to non-ML stakeholders.
● Strong analytical, debugging, and problem-solving skills.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.