Senior Product Marketing Manager

About the Role:

We are looking for an ideal candidate with 5+ years of experience in Data Science / Machine Learning, with strong hands-on experience in Generative AI, Large Language Models (LLMs), NLP, and AI-powered applications. The candidate should be comfortable working across the complete AI lifecycle—from understanding business requirements and experimenting with models to building, evaluating, deploying, and monitoring production-grade GenAI solutions.

The role requires a combination of strong technical expertise, business understanding, problem-solving ability, and stakeholder management skills.

Key Responsibilities:

Generative AI & LLM

·      Design, develop, and deploy Generative AI and LLM-based solutions for enterprise use cases.

·      Work with models such as OpenAI, Azure OpenAI, Llama, Mistral, Gemini, or equivalent LLM platforms.

·      Develop applications using prompt engineering, structured outputs, function/tool calling, and LLM orchestration.

·      Design and implement Retrieval-Augmented Generation (RAG) solutions.

·      Work with vector databases and semantic search for enterprise knowledge retrieval.

·      Develop and evaluate AI agents and multi-step AI workflows.

·      Implement techniques such as prompt optimization, context management, grounding, and hallucination reduction.

·      Develop AI solutions for text classification, summarization, information extraction, question answering, document intelligence, and other enterprise use cases.

Machine Learning & Data Science

·      Develop and optimize traditional Machine Learning and statistical models where appropriate.

·      Perform data exploration, feature engineering, model selection, training, validation, and evaluation.

·      Apply appropriate ML and statistical techniques to solve business problems.

·      Work with structured, unstructured, and semi-structured data.

·      Develop scalable data pipelines to support AI/ML solutions.

·      Collaborate with Data Engineers to prepare and manage data for AI applications.

AI Evaluation & Productionization

·      Design evaluation frameworks to measure LLM accuracy, relevance, groundedness, toxicity, latency, and cost.

·      Implement guardrails and responsible AI practices.

·      Monitor model and application performance in production.

·      Identify model/data drift and implement appropriate improvement strategies.

·      Optimize AI solutions for performance, scalability, reliability, and cost.

·      Support deployment and productionization of AI/ML solutions.

·      Client & Delivery Responsibilities

·      Work closely with the CEO, Delivery team, Solution Architects, Engineering teams, and clients to understand business problems and identify AI opportunities.

·      Translate business requirements into practical AI/ML solutions.

·      Participate in client discussions, solution presentations, technical workshops, and POCs.

·      Develop rapid prototypes and demonstrate the feasibility of GenAI solutions.

·      Convert successful POCs into scalable, production-ready applications.

·      Provide technical guidance and contribute to AI solution architecture.

·      Prepare technical documentation, solution approaches, and project estimates where required.

·      Stay current with developments in Generative AI, LLMs, Agentic AI, and AI engineering.

Required Skills:

·       5+ years of hands-on experience in Data Science, Machine Learning, AI, or a related field.

·      Strong practical experience in Generative AI and LLM-based applications.

·      Strong proficiency in Python.

·      Strong understanding of Machine Learning and statistical concepts.

·      Hands-on experience with:

o       LLMs

o       Prompt Engineering

o       RAG

o       Vector Databases

o       Embeddings

o       Semantic Search

o       LLM Evaluation

o       AI Guardrails

·      Experience with frameworks/tools such as LangChain, LangGraph, LlamaIndex, or equivalent.

·      Experience with APIs and integrating LLMs into enterprise applications.

·      Strong SQL and data handling skills.

·      Experience working with large and complex datasets.

·      Strong understanding of NLP concepts.XX

Technical Skills:

·      Experience with OpenAI / Azure OpenAI / AWS Bedrock / Google Vertex AI.

·      Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, or equivalent.

·      Experience with Databricks, Snowflake, or cloud data platforms.

·      Experience with Docker and CI/CD.

·      Exposure to AWS, Azure, or GCP.

·      Experience with ML/AI deployment and MLOps.

·       Knowledge of AI security, data privacy, governance, and responsible AI.

·      Experience building AI Agents / Agentic AI workflows.

·      Experience with multimodal AI is an added advantage

Key Competencies

·      Strong analytical and problem-solving ability.

·      Ability to translate business problems into practical AI solutions.

·      Strong communication and presentation skills.

·      Ability to interact confidently with senior stakeholders and clients.

·      Strong ownership and delivery mindset.

·      Ability to work independently in a fast-paced environment.

• Strong experimentation and innovation mindset.
• Ability to balance technical feasibility, business value, scalability, and cost.

Required Education & Experience:

·      Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline

Responsibilities:

● Design, develop, test, and maintain software applications using Java technologies.

● Implement robust solutions using Spring MVC, Spring Boot, and Hibernate frameworks.

● Develop and optimize database operations with MySQL.

● Analyze and solve complex problems by applying knowledge of data structures and algorithms

Requirement -

Programming Languages & Technologies: Strong knowledge of Java (Core Java, Java 8+).

● Frameworks: Proficiency in Spring MVC, Spring Boot, and Hibernate. ● Algorithms and Data Structures: Good understanding and practical application of DSA concepts.

● Databases: Experience with MySQL – writing queries, stored procedures, and performance tuning.

● Version Control Systems: Experience with tools like Gi

You will:

• Collaborate with the I-Stem Voice AI team and CEO to design, build and ship new agent capabilities
• Develop, test and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS)
• Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency
• Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding)
• Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products
• Monitor agent performance in production, analyze failure cases, and drive continuous improvement
• Occasionally demo our Voice AI solutions at industry events and user forums

You are:

• An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS)
• Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines
• Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error
• A clear thinker who deconstructs complex voice interactions from first principles
• Passionate about making voice technology inclusive and accessible for diverse users
• Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

• ERP Sales experience is must
• Construction ERP is a added value
• Responsible for New Business Development via prospecting, qualifying, selling and closing software product sales in the Enterprise Division.
• Develop and implement strategy sales in the particular region to maximize growth opportunities, strengthen market share and maximum customer retention.
• Attracting new clients by innovating and overseeing the sales process for the business.
• Responsible for enhancing revenue, within existing and new clients, through continuous client engagement
• Set up meetings with potential clients and listen to their wishes and concerns, Improving sales strategy.
• Research and identify new market opportunities.
• Creates and conducts effective presentation and product demos
• Build & Strengthen market intelligence & sales analytics for identification of opportunities, effective client solutioning and deal conversion.
• Consistently meet and exceed sales targets
• Foster a collaborative environment within the organization.
• Identify trends and customer needs, building a short/medium/long-term sales pipeline in accordance with targets
• Prepare and deliver pitches to potential investors.
• Create and conduct proposal and presentation based on clients’ needs and closing of orders
• Be responsible for conduct webinar about our product.
• Provide timely weekly, monthly and quarterly sales reports
• Client Relationship management
• Ability to present and explain ideas to a variety of audiences

Looking for a passionate, self-driven creative Sr. UX Designer to join our team and lead experience design efforts across Mobile, Web, Smart TV, and Print media 

Mandatory Skillset:
• Experience in Enterprise Application Experience Design
• Expertise in wireframe and prototype tools
• Extensive experience with mobile-first design.
• A solid grasp of user-centered design (UCD), planning and conducting user research, user testing, A/B testing, rapid prototyping, heuristic analysis, usability and accessibility concerns.
• Ability to clearly and effectively communicate design processes, ideas, and solutions to teams and clients.
• Be excited about collaborating and communicating closely with teams and other stakeholders via a distributed model, to regularly deliver design solutions for approval 

Good to have: • Certification in Human Factors or Interaction Design 

Education: B.Des, M.Des, BFA, MFA, Design background from any Top tier design institute will be plus point 

Experience: 5 to 10 years