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OnlineSales.ai Reviews by Employees

About Osmos.ai : Built by ex-Amazon ad-tech experts, Osmos.ai offers a future-proof Retail Media Operating System boosting Retailers profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune India. With Osmos.ai's platform, Retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS. Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with Osmos.ai and are innovating ahead of the market by at least 2 years. About the role : At Osmos.ai, your ability to navigate the complexities of building scalable and high-performance systems, combined with your data science skills, will make you an invaluable contributor to our mission. We are looking for a highly skilled Senior Data Scientist who can translate complex business problems into advanced analytical solutions. The ideal candidate combines deep expertise in statistical modeling, machine learning, and data engineering with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), and Deep Learning. This role requires both technical leadership and strategic visionfrom driving AI/ML innovation to mentoring junior team members, and collaborating across product, consulting, and engineering teams to bring AI-powered solutions to life. By applying your expertise in data science to the ad-server and retail media domains, you will contribute to delivering targeted and impactful advertising campaigns, optimizing ad inventory, and maximizing ROI for Osmos.ai and its clients. What will you do @Osmos.ai? At Osmos.ai, your role in building ML algorithms for the ad server and retail media would involve the following : Business Problem Solving : - While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital. - Translate complex business challenges into analytical frameworks using statistical and ML methodologies. - Apply AI/ML solutions to real-world business use cases across multiple industries. - Extract insights from large-scale datasets to improve model accuracy, fairness, and relevance. Technical Proficiencies : - Strong expertise in statistical modelling, machine learning, deep learning, and NLP, with hands-on experience in LLMs and Generative AI (fine-tuning, RAG, prompt engineering). - Proficiency in Python, PyTorch/TensorFlow, Hugging Face, and cloud-based ML platforms (AWS/GCP/Azure) with MLOps practices. - Skilled in building scalable data pipelines and ML systems for training, evaluation, and deployment at scale. - Solid grounding in Responsible AI principles including fairness, explainability, and bias mitigation. AI/ML & Generative AI Innovation : - Lead the design, development, and deployment of scalable ML and DL solutions, with emphasis on LLMs and GenAI. - Build training, fine-tuning, evaluation, and serving pipelines for LLMs across use cases like content generation, summarization, semantic search, personalization, and multimodal AI. - Drive applied research, incorporating the latest in GenAI and foundation models into production-ready systems. - Ensure solutions are optimized for performance, security, reliability, and cost. Leadership & Collaboration : - Provide technical and strategic leadership to cross-functional teams of Data Scientists and Analysts. - Collaborate with engineering and product teams to integrate AI solutions into customer-facing platforms. - Mentor junior data scientists; set and promote best practices in MLOps, Responsible AI, and ML system design. - Stay ahead of industry trends and incorporate them into roadmap planning. Project Management & Strategy : - Drive the execution of business plans and projects. - Manage the continuous improvement of data science initiatives. - Direct the gathering and assessment of data for project goals. - Develop contingency plans and adapt to changing business needs. You will be a great fit if you have : - A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred. - A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable. - 8- 12 years of practical experience in data science, generative AI, machine learning, and analytics. - Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous. - Minimum 3- 4 years of deep, hands-on expertise in NLP, LLMs, and Generative AI. - 2+ years of Demonstrated experience in leading projects and teams. - Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development. Core Skills : - Strong foundation in machine learning, deep learning, and NLP. - Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA). - Proficiency in Python, PyTorch/TensorFlow, SQL, and cloud platforms (GCP/AWS/Azure). - Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc. - Strong data engineering skills to build ETL pipelines for large-scale datasets. - Statistical rigor: hypothesis testing, power analysis, confidence intervals; regression (GLM/GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact. Soft Skills : - Strong business acumen and ability to map AI/ML solutions to strategic goals. - Excellent communication and stakeholder management skills. - Proven track record of mentoring and leading teams, collaborating with cross-functional teams, and communicating effectively with stakeholders. Why Osmos.ai? Startup-y : We believe Startup is a mindset. Its about being scrappy, being nimble, solving tough problems with constrained resources and more. Its about working hard and playing hard. Enterprise SaaS : Opportunity to work with an Enterprise Product SaaS firm with aspirations of growing 10x across the globe. - AI-led Retail Tech : We are working to digitize & democratize one of the most exciting and growing vertical Retail Tech leveraging data, machine learning and automation (culmination of ad-tech, mar-tech and analytics for Retail vertical). - Meaningful work : This is not just a job. You can find a job anywhere. This is a place for the bold to get paid who make a real impact on business. - No red tape : Say goodbye to pointless meetings or political hoops to jump through. Were scrappy, believe in autonomy and empower our teams to do whatever it takes to do the unthinkable. - Problem Solving : We ignite the best in you We exist not only to deliver meaningful innovation but to ignite and inspire the creative problem solver in you. - Quirky & fun : Enjoy new skills and hobbies like being a quiz master, playing board games, trying your hands on percussion, playing Djembe and spreading love within the org!. - Competitive Comp & Benefits We know the power of compounding and are stubborn about building long-term relationships. Our compensation design is not only competitive but also prudent.

Pune

OnlineSales.ai - Lead Data Scientist - Machine Learning 

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