Senior Data Scientist at SymphonyAI

Short Description:

SymphonyAI, a leading enterprise AI company, seeks a skilled professional for a dynamic role in their "World Class Engineering Team." The ideal candidate will excel in Python and possess additional programming proficiency in Java, R, or C/C++. Essential skills include expertise in NLP, BERT, and LLM, with hands-on experience in fine-tuning and prompt engineering. The candidate should demonstrate capabilities in building chat and conversational agents, applying classical and deep learning language models, and have a solid foundation in statistics and machine learning algorithms. Strong communication skills, the ability to translate analytic ideas into production-quality Python code, and knowledge of cloud computing are crucial for success in this role.

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Position: Senior Data Scientist

Company: SymphonyAI

Location: Bengaluru, Karnataka, India

Introduction: 

SymphonyAI, a trailblazing enterprise AI company, stands at the forefront of reshaping global industries through innovative pre-packaged AI applications. With a commitment to pioneering solutions and a global influence in AI-driven insights, SymphonyAI empowers organizations to unleash the full potential of data-driven innovation. As we continue to expand our impact across diverse sectors, including retail, CPG, financial services, manufacturing, media, IT, enterprise operations, and the public sector, we are on a mission to build a "World Class Engineering Team." Our team, comprising over 3000 skilled leaders, data scientists, and professionals, actively incubates and develops cutting-edge solutions within the SymphonyAI Group.

Job Description: Unleashing Your Potential in AI Engineering

1. Programming Proficiency: The ideal candidate will exhibit proficiency in Object-Oriented programming, specifically in Python (required). Additional expertise in languages such as Java, R, or C/C++ is advantageous, offering a diverse skill set for tackling complex challenges in AI development.

2. Data Science Mastery: Candidates should demonstrate proficiency in Natural Language Processing (NLP), BERT, and BERT-like transformer models. A deep understanding of Large Language Models (LLM) and the ability to stay current with developments in Generative AI are crucial. Mandatory hands-on experience in Fine-tuning and prompt engineering with LLM is required, along with a solid grasp of foundational concepts behind LLM. Familiarity with Reinforcement Learning with Human Feedback is preferred, and candidates must showcase successful delivery of at least one project in production with LLM.

3. GPU Computing and Frameworks: Knowledge of GPU computing, GPU acceleration, and frameworks for parallel executions is a significant plus. This technical proficiency ensures candidates can optimize performance and efficiency in AI applications.

4. Conversational Agents Expertise: Candidates are expected to have hands-on experience in building chat and conversational agents, showcasing their ability to create interactive and user-friendly AI interfaces.

5. Language Model Competence: Mandatory hands-on experience in both Classical and Deep learning language models is a prerequisite, reflecting the candidate's ability to navigate and implement diverse models for varied applications.

6. Statistical and Machine Learning Foundation: Foundational knowledge of Statistics, Classical Machine Learning, and Supervised/Unsupervised algorithms is essential. This proficiency ensures a comprehensive understanding of the theoretical underpinnings of AI, enabling candidates to apply a range of methodologies to real-world problems.

7. Project Management and Communication Skills: Candidates should possess the ability to articulate problem statements and develop strategic plans for the execution of data science projects. Strong communication and presentation skills are critical, facilitating effective collaboration and clear articulation of complex ideas.

8. Code Translation and Cloud Computing: Proficient translation of analytic ideas into production-quality Python code is mandatory, showcasing the candidate's ability to implement practical solutions. Additionally, knowledge of cloud computing is a prerequisite, ensuring candidates can leverage scalable and flexible cloud resources for AI applications.

Conclusion: Embark on a fulfilling career with SymphonyAI, where innovation meets impact. Join our "World Class Engineering Team" and contribute to the transformative journey of enterprise AI. As a part of SymphonyAI, you'll be at the forefront of shaping the future of industries through cutting-edge AI applications. Apply your skills, be challenged by dynamic projects, and unleash your potential in the world of AI engineering. If you are passionate about driving innovation and ready to make a significant impact, SymphonyAI welcomes you to explore a career with us.

Please click here to apply.