You are a Senior or Staff AI Scientist responsible for leading the development of domain-specific business ontologies and knowledge engineering infrastructure. Your expertise will be utilized to leverage cutting-edge LLMs, GenAI, and symbolic reasoning to establish an ontology layer, which will serve as the cornerstone of the data platform. This initiative aims to facilitate intelligent data harmonization, enrichment, and decision automation at a large scale. Your key responsibilities will involve spearheading the research and development of ontology learning systems by leveraging state-of-the-art LLMs, structured data mining, and semantic reasoning techniques. You will be tasked with constructing and expanding domain-specific knowledge graphs that seamlessly integrate both external and internal data sources. Additionally, you will drive innovation in semi-automated ontology construction, concept disambiguation, and alignment using GenAI, contrastive learning, and knowledge distillation methodologies. Collaboration across departments is crucial in embedding ontology-driven intelligence into various pipelines, applications, and decision systems. You will work closely with data platform engineers, AI scientists, and product teams to ensure seamless integration and implementation of these intelligent systems. Furthermore, you will be responsible for defining core metrics to evaluate the quality of ontologies, knowledge coverage, and subsequent performance enhancements such as data harmonization and semantic search capabilities. Your role will also involve collaborating with ML infrastructure teams to optimize representation formats (RDF, Knowledge graphs, etc.) and enable scalable, low-latency retrieval and reasoning processes. To qualify for this position, you should hold a PhD or Masters degree in Computer Science, AI, Data Science, or a related field with a focus on knowledge representation, natural language understanding, or data systems. Moreover, you should possess a minimum of 8 years of experience in applied AI or ML research with a specific focus on ontologies, knowledge engineering, entity resolution, or semantic systems. Your expertise should extend to working with LLMs (e.g., GPT, LLaMA, PaLM, Claude) for knowledge extraction, generation, or few-shot learning. A strong background in data engineering, including schema mapping, metadata, master data management, or data pipelines at scale, is also essential. You are expected to have a deep understanding of semantic data models such as ontologies and hands-on experience with relevant libraries or frameworks. Proficiency in programming languages like Python, as well as frameworks like PyTorch or TensorFlow, and graph technologies such as Neo4j, RDFLib, SPARQL, etc., will be beneficial in fulfilling the requirements of this role.,
What will you do Understand domain context and conduct exploratory data analysis to determine the best data science approach for the customer. Identify how the data science approach can be executed via the product pipeline and any customer specific configurations needed to achieve objectives. Train machine learning and deep learning models on large scale time series datasets Use data wrangling and exploration to extract insights and relationships from the data Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics. Identify and measure levers to help move essential metrics and make recommendations. Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices. Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc. Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. Show more Show less
What Youll Do Prospect and identify high-potential leads through cold calling, email sequences, and LinkedIn outreach. Research target accounts and decision-makers to craft personalized messaging that resonates with their pain points. Execute strategic outbound campaigns in collaboration with Marketing to drive awareness and generate qualified demand. Create a consistent and healthy top-of-funnel pipeline by identifying, engaging, and nurturing leads. Initiate conversations with C-level and senior leadership in target organizations to uncover needs and generate meetings. Work closely with Sales and Marketing to translate customer pain points into compelling value propositions for Asper.ai&aposs offerings. Consistently achieve and exceed monthly targets for qualified opportunities and conversion metrics. ? What Were Looking For 2 to 3+ years of outbound SaaS sales (B2B) experience, with a strong focus on international markets (UK, EU, US). Sales Software proficiency Salesforce, Salesloft, Apollo.io, etc. Hunter mindset - self-motivated, persistent, and always looking to build. Domain knowledge of Data & Analytics solutions, ISVs, or cloud technologies is desirable. Previous experience in IT services, analytics, or BI solution sales targeting CPG industry is a value add. Excellent communication skillsstreet-smart, articulate, and creative in your outreach approach. Proven ability to identify and connect with senior decision-makers and turn cold leads into warm conversations. Ability to thrive in a dynamic, fast-paced environment and pivot strategies when needed. Show more Show less
As a QA Automation Engineer, you will be responsible for automating the quality assurance function of software products, collaborating with product development teams and customers to ensure bug-free and stable application modules in Azure Cloud. Your role will involve analyzing requirements, developing and maintaining test cases and automation scripts, executing tests, reporting execution details, and identifying defects in the process. You will contribute to both automation and manual testing of the product to ensure regular regression testing. Key Responsibilities: - Focus on automating software quality assurance function using tools like Cypress, Selenium, Ready API, Test Complete, Postman, etc. - Debug software products through systematic tests to maintain quality standards. - Develop, execute, and maintain test cases and automation scripts. - Estimate effort needed for automation and manual test activities. - Create test data and document test cases for user story requirements. - Prepare reports on test automation progress and regression testing. - Ensure test case coverage is above 90% and execute testing per schedule. Experience Required: - Minimum of 3 years of experience in testing Analytics/BI applications and API testing. - Proficiency in SQL and database concepts. - Minimum 2 years of experience in using UI and API automation tools like Selenium, Ready API, Test Complete, Cypress, and Postman. - Preferably 1 year of experience with Cypress and Postman for UI testing. - Good understanding of JavaScript and Python. - Familiarity with agile software development processes. - Experience in CPG/Retail domain will be a plus.,
About Asper.ai: At Asper.ai, the organization is dedicated to transforming businesses into adaptive, intelligent enterprises by facilitating autonomic decision-making at the convergence of demand and supply. The platform, fueled by advanced AI and machine learning technologies, streamlines intricate decision-making processes, fostering growth and enhancing workflows in sectors like CPG, retail, and supply chain management. As a member of the Fractal family, the goal is to innovate business decision-making by furnishing data-driven insights that yield tangible outcomes. About the Role: Currently, there is an opportunity for an adept Lead Data Scientist to become a part of the expanding team at Asper.ai. In this significant role, you will leverage your proficiency in machine learning, deep learning, and data science to tackle intricate business challenges, specifically focusing on demand forecasting, supply chain optimization, and price recommendation. Job Title: Lead Data Scientist Location: Bangalore | Hybrid Reporting to: Director of Data Science Position Type: Senior Individual Contributor What you are going to do: - Conduct exploratory data analysis to reveal trends, patterns, and insights from sophisticated datasets. - Develop, train, and implement machine learning and deep learning models for time series scenarios like demand forecasting, inventory management, and pricing. - Extract data insights, generate visual representations, and convey findings to both technical and non-technical stakeholders. - Construct and sustain data science pipelines for model creation, deployment, monitoring, and enhancements. - Collaborate with engineering, product, and business teams to incorporate models into operational systems and align them with client objectives. - Research and prototype novel algorithms and modeling techniques to enhance solution performance. - Monitor and assess model performance, making iterative adjustments based on findings. What we are looking for: - A minimum of 6 years of experience in roles related to data science, machine learning, or analytics. - Hands-on experience with time series analysis, forecasting, and predictive modeling. - Proficiency in Python (NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel. - Familiarity with deploying machine learning solutions and managing model life cycles. - Capability to collaborate with engineering and product teams to define and execute projects. - Ability to elucidate modeling decisions, data assumptions, and outcomes to stakeholders. - Exposure to statistical methods, optimization, and model monitoring frameworks. - Previous experience working within CPG, FMCG, or retail industries is advantageous. Why Join Asper.ai - Play a pivotal role in revolutionizing how businesses in CPG, retail, and supply chain sectors make data-informed decisions. - Engage in cutting-edge AI/ML initiatives that challenge the frontiers of decision-making automation. - Be part of a collaborative and inclusive work environment that fosters innovation and personal development. - Join a rapidly growing, innovative AI company with prospects for career advancement and leadership. What We Offer: - Competitive salary and benefits package. - A dynamic, inclusive work culture that promotes continual learning and development. - Opportunities to contribute to impactful projects that will influence the future of decision-making at scale. Ready to create an impact and become a part of an AI-powered revolution If you are passionate about data science and adept at solving intricate challenges in the CPG, FMCG, or retail industries, Asper.ai looks forward to hearing from you!,