A Senior Software Engineer Python is a professional with extensive experience and expertise in Python programming language. They are responsible for designing, developing, and maintaining high-quality software applications using Python and related frameworks. Role and Responsibilities: · R&D on new technologies to solve problems in innovative product · Build new and efficient python libraries rather than using the libraries · Should be working on a start-up mode · Help building SaaS-based Data Fabric and Data Mesh platform that allows companies to seamlessly access, integrate, model, analyze, provision and monetize data. · Must build the product from scratch · Design, develop, and maintain robust and scalable software applications using Python and related technologies. · Collaborate with cross-functional teams, including product managers, designers, and other developers, to define project requirements and deliver high-quality solutions. · Conduct code reviews and ensure adherence to coding best practices and established development standards. · Analyze and optimize application performance, identifying and resolving bottlenecks and inefficiencies. · Stay up-to-date with industry trends and advancements in Python and related technologies, recommending and implementing new tools and frameworks as appropriate. · Collaborate with the DevOps team to automate build, deployment, and testing processes. Technical Skills · 6+ years of extensive experience in Python Programming language. · Good knowledge in Python libraries - Flask, pandas, NumPy etc. · Hands on experience in building microservices applications on AWS/GCP/Azure. · Strong knowledge of software development principles, best practices, and design patterns. · Good understanding of platforms (Kubernetes, Docker, AWS) · Must have solved problems using complex algorithms and data structures · Must have a good understanding of Data Structures/Algorithms/Databases like PostgreSQL · Knowledge in redshift, snowflake would be added advantage · Experience writing APIs and related technologies like REST, JSON etc. · Design, Implement and Deploy scalable backend applications on cloud · Strong knowledge of software development principles, best practices, and design patterns. · Experience with version control systems, such as Git, and collaborative development workflows. Soft Skills · Solid understanding of software testing methodologies and experience with unit testing and integration testing. · Excellent problem-solving and analytical skills, with the ability to quickly identify and resolve issues.
About the Role: We are seeking a Data Scientist / Generative AI Developer with a strong foundation in mathematics and advanced data science methodologies, coupled with expertise in Large Language Models (LLMs), Generative AI, and orchestration frameworks like LangChain or CrewAI. This is a key role in shaping cutting-edge machine learning solutions and integrating state-of-the-art AI capabilities, while collaborating across diverse teams. Key Responsibilities: Design, develop, and implement machine learning algorithms and models, including creating specifications, design documents, and prototypes. Build, fine-tune, and deploy solutions leveraging Large Language Models (LLMs) for various use cases. Develop workflows and applications using LangChain, CrewAI, or similar GenAI orchestration frameworks to enable seamless AI integrations. Optimize model performance with advanced tuning techniques, feature engineering, and experimentation with LLMs. Lead brainstorming sessions for system architecture and feature design to ensure scalability and efficiency. Integrate and manage Vector Databases (VectorDBs) such as Pinecone, Weaviate, or similar, to handle embedding-based search and retrieval tasks. Gather and document design requirements by interfacing with key stakeholders and external customers. Collaborate with Engineering, Data Science, Product, UX, Business Development, and Infrastructure teams. Uphold and promote best coding practices, including thorough documentation and peer reviews. Required Qualifications: Master’s degree in Data Science, Mathematics, or a related field. 5+ years of experience in Data Science, Machine Learning, or a similar domain. Expertise in linear algebra, statistics, and probability, with hands-on experience in statistical testing, regression, and deep learning techniques. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or MxNet . Experience with Large Language Models (LLMs) such as GPT-4, BERT, or T5. Proven experience with orchestration frameworks like LangChain, CrewAI , or similar. Strong understanding of Vector Databases (VectorDBs) and embedding-based search. Advanced development experience in Python and libraries like NumPy, Sci-Kit Learn, and Matplotlib. Proven track record of model performance tuning and deploying optimized machine learning models. Preferred Skills: Proficiency in creating scalable machine learning pipelines. Familiarity with industry standards for code optimization and debugging . Education Requirements: Master’s Degree in: Data Science Computer Science Artificial Intelligence Mathematics Machine Learning Statistics Related fields Special Considerations: Certifications or postgraduate diplomas in AI/ML (e.g., from institutions like IIIT-Hyderabad, ISB, or online platforms like Stanford AI, Coursera, edX) could also supplement academic credentials if accompanied by relevant experience. Key Skills: -Experience with LLMs, LangChain/CrewAI, Vector Databases (e.g., Pinecone, Weaviate) . -Data Science, Machine Learning, TensorFlow, PyTorch, Deep Learning -Expertise in Python If you are a highly motivated professional with expertise in data science, a passion for mathematical problem-solving, and a drive to create impactful solutions, we’d love to have you on our team!