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/

Datafortune 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

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