Role: Lead/Manager Overview: We are seeking a visionary and dynamic individual to lead our AI initiatives and data-driven strategies. This role is crucial in shaping the future of our company by leveraging advanced technologies to drive innovation and growth. The ideal candidate will possess a deep understanding of AI, machine learning, and data analytics, along with a proven track record in leadership and strategic execution. Key Responsibilities: Self-Driven Initiative: Take ownership of projects and drive them to successful completion with minimal supervision, demonstrating a proactive and entrepreneurial mindset. Stakeholder Communication: Present insights, findings, and strategic recommendations to senior management and key stakeholders, fostering a data-driven decision-making culture. Executive Collaboration: Report directly to the founders and collaborate with other senior leaders to shape the company's direction and achieve our ambitious goals. Innovation & Problem-Solving: Foster a culture of innovative thinking and creative problem-solving to tackle complex challenges and drive continuous improvement. AI Research & Development: Oversee AI research and development initiatives, ensuring the integration of cutting-edge technologies and methodologies. Data Management: Ensure effective data collection, management, and analysis to support AI-driven decision-making and product development. Required Skills and Qualifications: Bachelor's degree from a Tier 1 institution or an MBA from a recognized institution. Proven experience in a managerial role, preferably in a startup environment. Strong leadership and team management skills. Excellent strategic thinking and problem-solving abilities. Exceptional communication and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment. Entrepreneurial mindset with a passion for innovation and growth. Extensive experience with AI technologies, machine learning, and data analytics. Proficiency in programming languages such as Python, R, or similar. Familiarity with data visualization tools like Tableau, Power BI, or similar. Strong understanding of data governance, privacy, and security best practices. Technical Skills: Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, or Scikit-learn. Data Processing: Proficiency in using tools like Apache Kafka, Apache Flink, or Apache Beam for real-time data processing. Database Management: Experience with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or Cassandra. Big Data Technologies: Hands-on experience with Hadoop, Spark, Hive, or similar big data technologies. Cloud Computing: Strong knowledge of cloud services and infrastructure, including AWS (S3, EC2, SageMaker), Google Cloud (BigQuery, Dataflow), or Azure (Data Lake, Machine Learning). DevOps and MLOps: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools for deploying and managing machine learning models. Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or D3.js to create insightful and interactive dashboards. Natural Language Processing (NLP): Experience with NLP techniques and tools like NLTK, SpaCy, or BERT for text analysis and processing. Large Language Models (LLMs): Proficiency in working with LLMs such as GPT-3, GPT-4, or similar for natural language understanding and generation tasks. Computer Vision: Knowledge of computer vision technologies and libraries such as OpenCV, YOLO, or TensorFlow Object Detection API. Preferred Experience: 5-10 years of relevant experience Proven Track Record: Demonstrated success in scaling businesses or leading teams through significant growth phases, showcasing your ability to drive impactful results. AI Expertise: Deep familiarity with the latest AI tools and technologies, including Generative AI applications, with a passion for staying at the forefront of technological advancements. Startup Savvy: Hands-on experience in early-stage startups, with a proven ability to navigate the Show more Show less

Location: Gurgaon Experience: 4–8 Years Work Mode: [Hybrid / Remote] Start Date: Immediate Joiner Preferred Role Overview : We are looking for an Analytics Data Engineer with strong hands-on experience in Looker and proven ability to extract meaningful insights from product and behavioral data. The ideal candidate will also bring solid experience in Analytics Engineering tools like DBT, Snowflake, Airflow, and Fivetran (or similar) to build scalable and reliable data pipelines. This is a backfill for a critical role, and we are looking for someone who can hit the ground running and experiment with product data to uncover actionable insights for stakeholders. Key Responsibilities: Build and maintain Looker dashboards and reports for business and product teams. Perform data modeling using LookML and manage Looker’s semantic layer. Collaborate with stakeholders to understand analytics needs and translate them into scalable solutions. Design, build, and optimize data transformation workflows using DBT . Develop and maintain ETL/ELT pipelines using Fivetran or similar tools. Work with large datasets in Snowflake , ensuring performance and data integrity. Conduct deep-dive analysis on product usage data to drive experimentation and decision-making. Ensure best practices in code versioning, documentation, testing, and deployment. Required Skills & Qualifications: 4–8 years of experience in Business Intelligence and Data Engineering roles. Strong hands-on experience with Looker (LookML, Dashboarding, Embedded Analytics). Solid understanding of data modeling and transformation using DBT . Proficiency in Snowflake (or similar cloud data warehouses like Redshift or BigQuery). Experience with Fivetran or other ELT tools. Strong SQL skills and understanding of modern data stack architecture. Ability to work independently in a fast-paced, product-focused environment. Show more Show less