Greetings from Blue Altair! About Blue Altair: Blue Altair is a new entity formed from Fresh Gravity (founded in 2015) after the spin-off. Blue Altair which is a business and technology consulting company at the cutting-edge of digital transformation. We envision Blue Altair to be a niche, sleek, high-end consulting firm that is employee centric, client focused, partner tied, and innovation driven. Our core capabilities at Blue Altair are : Title: FULLSTACK LEAD Domain Location: Pune, Bangalore About the role: We have a Managed project for which we require Full stack Lead Candidate should possess Must have experience on developing Python/Java based applications. Must have sound knowledge and experience working with any web application development framework (Spring, Django, Flask, etc.). Must have Experience in developing Rest APIs using Python/Java. Should have Experience working with Linux OS Should have Experience working on AWS/Azure/GCP cloud Solution. Must have experience working with any RDBMS and in at least one No-Sql DB. Familiar with Agile/Scrum Process. ¢ Should be able to Write re-usable, secure and efficient code. ¢ Design and implement of low-latency, high-availability, and performant applications. ¢ Integration of user-facing elements developed by front-end, React, Angular, Mean stack , Mern Stack developers with server-side logic. ¢ Implementation of security and data protection measures. ¢ Integration of data storage solutions. ¢ Performance tuning, improvement, balancing, usability, automation. ¢ Work collaboratively with Solution design team to understand end user requirements to provide technical solutions and for the implementation of new software features Responsibilities: ¢ Should participate in Requirement understanding workshop and capture the Requirement in detail. ¢ Should design the solution Approach and Come out with optimized effort estimates. ¢ Should have experience in defining the technical specifications for the implementation of the backend solution. ¢ Support in technical solution and architecture documents, artifacts, work products and presentations for the customer. ¢ Develop reusable artifacts/frameworks, re-usable assets, Industry solutions, reference architecture, design, development, security coding and QA best practice. ¢ Ensure best practices in integrating mobile apps with web-services and external APIs are adhered. ¢ Understanding of mobile security protocols, analytics and social channel integration. ¢ Ensure alignment of best practices in various non-functional aspects in mobile application design and provide a solution to optimize performance, scalability etc. ¢ Responsible for successfully designing and managing the delivery of mobile solutions. ¢ Contribute towards excellence in a highly collaborative, team-oriented environment. ¢ Enforce sound development practices and ensure the quality delivery of enterprise mobile solutions. ¢ Work closely with Project Managers, Senior Business Analysts, QA and UX teams. Clients & Benefits: Some of our clients include Siemens, Allied, Levis, Intel, ClubCorp, Teva, IAA, Spice Money among others. Our official partners include Apigee, SnapLogic, Google Cloud, Azure, Databricks, Snowflake, Alation and Workato. We bring a unique approach, due diligence, and a high-quality team to deliver value to our clients. Our clients talk highly of us. In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations. In keeping with Blue Altairs challenger ethos, we have developed the 5Dimensions (5D) benefits program. This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions. Enrich Myself; Enhance My Client; Build my Company, Nurture My Family; and Better Humanity.

Greetings from Blue Altair! Job Overview: We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members. Title: Consultant/Sr. Consultant - Data Science Engineer Experience : 5-8 years Location: Pune/Bangalore (Hybrid) Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures. Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Prepare technical documentation and present insights to both technical and non-technical stakeholders. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members.