5 Opensource Frameworks Jobs

As a Senior Developer for GenAI Applications, your primary focus will be on coding, developing, and implementing GenAI applications using fine-tuned Large Language Models (LLMs) and Small Language Models (SLMs). In this role, you will utilize your hands-on expertise in open-source frameworks, libraries, and cloud tools to prototype and demonstrate innovative GenAI solutions under the guidance of senior team members. Your contributions will be essential in delivering high-quality, scalable, and cutting-edge applications. Responsibilities: - Write clean, efficient, and maintainable code for GenAI applications using Python and various open-source frameworks such as autogen and crew.ai. - Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA to cater to specific use cases. - Collaborate with frameworks like Hugging Face, LangChain, LlamaIndex, and others to develop GenAI solutions. - Deploy and manage GenAI models and applications on cloud platforms such as Azure, GCP, and AWS. - Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. - Build and maintain data preprocessing pipelines for training and fine-tuning models. - Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. - Evaluate model performance using metrics and benchmarks, and continuously iterate to enhance results. - Develop solutions for Optical Character Recognition (OCR) and document intelligence using open-source and cloud-based tools. - Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. - Utilize Git and other version control systems to manage code and collaborate effectively with team members. - Create clear and concise technical documentation for code, models, and processes. - Work closely with data scientists, engineers, and product managers to deliver impactful solutions. - Stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies for continuous learning and growth. - Identify and resolve bugs, optimize code, and enhance application performance through debugging and optimization techniques. Required Skills: - Strong proficiency in Python programming, specifically in CORE Python OOP for developing GenAI applications. - Hands-on experience with fine-tuning techniques such as PEFT, LoRA, and QLoRA. - Expertise in working with open-source frameworks like Hugging Face, LangChain, LlamaIndex, and other libraries. - Familiarity with cloud platforms like Azure, GCP, and AWS for deploying and managing GenAI models. - Skills in building and maintaining data preprocessing pipelines. - Experience in API integration using protocols like REST, SOAP, and others. - Knowledge of metrics and benchmarks for evaluating model performance. - Proficiency in OCR and document intelligence using open-source and cloud tools. - Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. - Proficiency in Git and version control best practices. - Ability to create clear and concise technical documentation. - Strong analytical and problem-solving skills for debugging and optimizing code. - Excellent teamwork and communication skills for effective collaboration in cross-functional teams. - Ability to quickly prototype and demonstrate GenAI applications with a growth mindset for continuous learning and staying updated with the latest GenAI trends and technologies.,

As a Data Scientist at Sentient Scripts, you will play a crucial role in designing, developing, and maintaining data pipelines and analytical models, focusing on Generative AI and Large Language Models (LLMs). With your strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights and advance cutting-edge R&D initiatives. Your key responsibilities will include designing, building, and optimizing scalable data pipelines for processing structured and unstructured data, developing and implementing analytical models, Generative AI solutions, and LLM workflows using Python and open-source frameworks. You will collaborate with cross-functional teams to define data requirements and deliver actionable insights from complex datasets, ensuring data quality, integrity, and security across all systems and processes. Moreover, you will be involved in conducting hands-on development for in-house R&D projects, documenting workflows, processes, and technical specifications, and staying updated on industry trends and advancements in Generative AI, LLMs, data engineering, and analytics. Your proficiency in BI Visualization tools such as powerBI/tableau will be essential for this role. To qualify for this position, you should have 3-5 years of professional experience in data engineering, data analysis, or related roles, along with proficiency in Python programming for data processing, analysis, and model development. Hands-on experience with open-source data tools, frameworks, LLM ecosystems, and strong knowledge of analytical modeling techniques are required. Experience with relational and non-relational databases, version control systems, and cloud platforms will be an added advantage. Preferred skills for this role include experience with large-scale data processing, distributed systems for AI model training and deployment, knowledge of Generative AI techniques, LLM fine-tuning, deployment, and optimization. Your problem-solving mindset, passion for innovation, and R&D in AI technologies will be highly valued. Join us at Sentient Scripts to work on groundbreaking R&D projects with real-world impact, collaborate in a dynamic work environment focused on growth and learning, and contribute to innovative Generative AI and LLM innovations.,

As an experienced AI/ML Architect, you will play a crucial role in leading the design, development, and deployment of cutting-edge Generative AI solutions. Your deep understanding of AI/ML architectures, technical leadership skills, and expertise in cloud platforms like GCP will be instrumental in designing robust, scalable, and production-ready systems. Collaborating closely with cross-functional teams and stakeholders, you will implement state-of-the-art AI solutions that address real-world challenges and drive business value. Your responsibilities will include providing technical leadership by guiding development teams through best practices and architecture reviews. You will design end-to-end Generative AI solutions, develop data pipelines, train models, deploy solutions, and monitor them in real-time. Leveraging MLOps tools, you will automate workflows for scalable and repeatable deployments. Your role will also involve optimizing deployment pipelines using tools like Docker, Kubernetes, and cloud-native services, ensuring seamless integration into existing CI/CD pipelines. In addition, you will focus on building scalable ETL workflows, implementing data preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Identifying and implementing optimization strategies for model performance enhancement will be a key aspect of your work. You will also drive the development of Proof of Concepts (POCs) and pilot projects, collaborating with delivery and product teams to scale successful pilots to production-grade solutions. To excel in this role, you should have at least 10 years of experience in AI/ML architecture, model development, and production deployment. Your expertise in designing, implementing, and scaling Generative AI and LLM-based solutions, along with hands-on experience with frameworks like LangChain and RAG, will be invaluable. Proficiency in Python, SQL, MLOps tools, containerization, and CI/CD pipelines is essential. Your strong technical leadership, communication skills, and strategic thinking abilities will be crucial in driving the adoption of Generative AI solutions and enabling continuous improvement. Joining our team will provide you with the opportunity to work on cutting-edge AI solutions, collaborate with a technology-driven team, and drive innovation through technical leadership and mentorship. You will have access to the latest AI/ML technologies and frameworks, ensuring continuous professional growth in this dynamic field.,

As a Senior Principal Engineer at Arcesium, you will play a key role in shaping the technology vision of the firm and leading the transformation across various verticals. You will be responsible for creating and reviewing architectural decisions of products, driving technology innovation, and engaging actively with the tech community to enhance employee knowledge and skills. Your contributions will include establishing policies, processes, and frameworks to guide the transformation, as well as mentoring Senior Engineers across the firm. To excel in this role, you should have a bachelor's degree in Engineering with over 14 years of experience in the IT industry. Deep understanding in one programming language, familiarity with architectural principles and patterns, and exposure to cloud service providers such as AWS, Azure, or GCP are essential. Additionally, experience in preparing business proposals, evaluating open-source frameworks, and troubleshooting scalability challenges will be valuable. Your passion for exploring and learning new technologies, along with a strong bias towards engineering and operational excellence, will be critical in driving the firm's technological advancements. You will lead the group in building sophisticated products using a cutting-edge technology stack, ensuring high availability, scalability, and reliability on a cloud platform. Your visible leadership within the technology community, excellent communication and interpersonal skills, and ability to oversee multiple technology initiatives concurrently will be instrumental in your success. By mentoring highly skilled engineers, providing guidance, and coaching, you will contribute significantly to the professional development and growth of the team. Join us at Arcesium, where we value intellectual curiosity, proactive ownership, and collaboration with colleagues. Empower yourself to make a meaningful contribution from day one and accelerate your professional development in a dynamic and innovative environment.,

As a Senior Principal Engineer at Arcesium, you will play a crucial role in shaping the technology vision of the firm and driving transformation across various verticals. Your responsibilities will include contributing to the technology roadmap, creating and reviewing architectural decisions, and leading technology innovation within the organization. You will actively engage with the tech community through knowledge-sharing sessions and other mediums to enhance employee skills and support future growth. Additionally, you will establish policies, processes, and frameworks to guide the transformation and mentor senior engineers to accelerate professional development. To excel in this role, you should possess a bachelor's degree in Engineering with at least 14 years of experience in the IT industry. Deep understanding of programming languages, architectural principles, and cloud service providers (AWS/Azure/GCP) is essential. You should have hands-on experience in evaluating open-source frameworks, preparing business proposals, and delivering products with low/no touch support. A penchant for exploring and learning new technologies, coupled with a strong bias towards engineering and operational excellence, will be key to your success in this position. As a leader within the technology community at Arcesium, you will be responsible for building sophisticated products using a cutting-edge technology stack that is highly available, scalable, and reliable on a cloud platform. Your visible leadership and mentorship to senior engineers will be instrumental in fostering a culture of continuous learning and innovation. Strong communication, interpersonal, leadership, and motivational skills are prerequisites for this role, along with the ability to oversee multiple technology initiatives concurrently. Join us at Arcesium and be part of a dynamic team that values intellectual curiosity, proactive ownership, and collaboration. Empower yourself to make a meaningful contribution from day one and accelerate your professional development in a high-growth industry where innovation and transformation are at the forefront.,