Experience: 5+ Years Employment Type: Full-Time About the Role: We are looking for a highly skilled Data Scientist with a strong background in Machine Learning , Statistical Modeling , and hands-on experience working with Generative AI technologies. The ideal candidate will have deep technical expertise in agentic AI systems , RAG (Retrieval-Augmented Generation) architectures , and the ability to implement, fine-tune, and evaluate large language models such as OpenAI, LLaMA , or Cortex . This is a high-impact role where you'll be building intelligent, scalable, and context-aware AI solutions that solve real-world business problems. Key Responsibilities: Design and implement agentic AI systems that leverage memory, planning, and tool-use capabilities. Develop and deploy RAG-based architectures integrating internal data sources with LLMs to enable knowledge-grounded responses. Apply advanced statistical modeling and machine learning techniques to extract insights and predict outcomes from large datasets. Integrate and fine-tune Generative AI models like OpenAI (GPT), LLaMA, or Cortex for custom use cases. Build intelligent pipelines using Python for data preprocessing, model training, and evaluation. Collaborate cross-functionally with product, engineering, and business teams to drive AI/ML adoption. Ensure scalability, accuracy, and ethical usage of AI models in production environments. Required Skills and Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field. 5+ years of experience in ML/AI engineering or data science roles. Strong experience with Python , NumPy, Pandas, Scikit-learn, and ML libraries like TensorFlow or PyTorch. Hands-on with Gen AI platforms such as OpenAI , LLaMA , Anthropic , or Cortex AI . Deep understanding of RAG pipelines , vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding techniques. Experience working on agentic AI frameworks like LangChain, AutoGPT, or OpenAgents. Solid grounding in statistical analysis , A/B testing, and predictive modeling. Familiarity with prompt engineering, fine-tuning, and evaluation metrics for LLMs. Good understanding of data privacy, model bias, and responsible AI practices. Nice to Have: Experience with tools like LangChain , Haystack , or LLM orchestration frameworks . Exposure to cloud platforms (AWS, GCP, Azure) for deploying ML models. Experience working with MLOps pipelines for productionalizing AI solutions. At TulaPi (pronounced tuu-la-pie), we’re building more than just a company – we’re crafting a movement. A movement that’s redefining what’s possible with data, machine learning, and AI, all powered by Snowflake's industry-leading platform. Think of us as the brainy rebels of the data world, bold enough to dream big and skilled enough to make it happen. We’re not just here to follow trends – we’re here to set them. From solving the most complex data challenges to building next-gen ML/AI solutions, we’re going to chart new territory every day. This is where the best talent comes to push boundaries, flex creative muscles, and make a real impact. At Tula Pi, you won’t just be working with cutting-edge tools and technologies – you’ll be shaping the future of what they can do. Whether you’re an architect of the cloud, an engineer with a knack for unlocking AI’s potential, or a strategist ready to disrupt the status quo, we’re looking for trailblazers like you to join our journey. Why Join Us? Big Challenges, Bigger Impact: Work on transformative projects that push the limits of what’s possible in ML/AI. Smart is the Standard: Collaborate with some of the brightest minds in the industry. Global Vision, Local Vibes: Be part of a team that’s global in its ambition but intimate in its culture. ️ Tools of Tomorrow: Gain access to the most advanced data and AI platforms, including Snowflake, and make them dance to your tune. Your Playground: A startup environment where your ideas, creativity, and innovation won’t just be welcomed – they’ll be celebrated. Get the chance to work closely with CEO and CTO with exposure to strategic decision-making. Tulapi is more than a workplace; it’s a destination for those who want their work to matter, their ideas to fly, and their careers to soar. If you're ready to work hard, dream bigger, and redefine the future of ML/AI, welcome home. Website: Tulapi.ai LinkedIn: https://www.linkedin.com/company/tulapi-ai/ Data fortune Software Solution is a 12+ year old company Based out of Pune . Our Head Office is in Atlanta , Georgia , US . we are around 150+ We work with US clients . Enterprise Data Management:-> Data Engineer, Snowflake, Azure, Power Bi , Tableau, SQL Server, SQL Server DBA. Application side - > Python, Dot Net , Angular, Flutter, Node, React , PHP, Vue JS , Java script , Flutter, Automation testing , Selenium , Load testing , etc. Website: https://datafortune.com/ LinkedIn: https://www.linkedin.com/company/datafortune/posts/?feedView=all
We are seeking a skilled Snowflake Developer with 3–5 years of hands-on experience to design, develop, and optimize data solutions on the Snowflake cloud data platform. The ideal candidate will have strong expertise in SQL, data warehousing, and workflow orchestration tools like IICS or Apache Airflow. Key Responsibilities: Design, develop, and maintain Snowflake databases, schemas, tables, and views. Write complex SQL queries , stored procedures, and functions for efficient data processing. Optimize query performance, troubleshoot bottlenecks, and implement tuning strategies. Integrate Snowflake with ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) or Apache Airflow . Implement data warehousing best practices (modeling, partitioning, clustering, etc.). Collaborate with data engineers, analysts, and stakeholders to deliver scalable solutions. Ensure data security, governance, and compliance within Snowflake. Automate workflows and monitor data pipelines for reliability. Required Skills & Qualifications: 3–5 years of hands-on experience in Snowflake development. Strong proficiency in SQL , query optimization, and performance tuning. Experience with ETL/ELT tools like IICS, Apache Airflow, or similar . Solid understanding of data warehousing concepts (star schema, snowflake schema, etc.). Familiarity with Snowflake features (cloning, time travel, zero-copy cloning, etc.). Knowledge of scripting languages (Python, Bash) is a plus. Strong analytical and problem-solving skills . Excellent communication and teamwork abilities. Preferred Qualifications: Snowflake certification (SnowPro Core/SnowPro Advanced). Experience with cloud platforms (AWS, Azure, GCP). Exposure to data visualization tools (Power BI, Tableau).
We are looking for a seasoned PHP Developer with strong Laravel expertise to lead backend development for a modern web application. The ideal candidate will have deep experience building scalable backend systems and APIs, along with working knowledge of frontend technologies like Vue 2 to support application integration. You will work in an Agile team using tools like Docker, GraphQL, and PostgreSQL in modular architecture. Key Responsibilities: Design, develop, and maintain backend services using Laravel. Build and manage GraphQL APIs using Laravel Lighthouse. Support frontend development where needed using Vue 2 (Inertia.js) . Use Docker and Laravel Sail for local development environments. Develop and optimize PostgreSQL database structures and queries. Implement OAuth 2.0 authentication and third-party integrations. Manage user roles and permissions using Spatie Laravel Permissions. Apply TDD practices using Pest for backend logic. Maintain clean, modular code with semantic-release for versioning and changelog generation. Work with designs provided in Figma and support integration efforts. Skill Sets & Experience Needed 4+ years of hands-on experience with PHP Laravel and Vuejs. Solid PostgreSQL experience (writing, tuning, and managing schemas). Strong understanding of modular Laravel structures and best practices. Experience with GraphQL (Laravel Lighthouse). Working knowledge of Docker and Laravel Sail. Familiarity with Inertia.js and Vue 2 (for integration and basic updates). Experience implementing OAuth 2.0 authentication. Familiar with Spatie Laravel Permissions package. Experience with semantic-release for changelog/versioning. Ability to interpret UI designs from Figma. Nice to Have: Experience with Laravel Nova. Knowledge of AG Grid and AG Charts (v33+). Exposure to GraphQL Codegen. Experience with chat libraries or message-driven UI integrations.