Job Description

We are looking for a talented AI/ML Developer with a strong foundation in machine learning, natural language processing, and data science. If you have a passion for building smart, conversational AI systems and want to work on cutting-edge technology, we'd love to hire you!



Job Profile
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###### Sr. Software Engineer

###### Years of Experience: 3-5 Years

###### Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

###### Salary: Not a constraint for the right candidate

###### Location: Ahmedabad

###### Job Type: Full-Time


Key Responsibilities
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• Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges.
• AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs.
• Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI's ability to retrieve and synthesize relevant information for accurate responses.
• Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs).
• Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing.
• Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices.
• Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization.
• Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions.
• Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team.
• Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value.
• Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences.
• Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability.
Technical Skills
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• Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing.
• Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL.
• Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage.
• MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation.
• Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment.
• AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude.
• AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications.
• Data Visualization: Proficient in visualization tools like Tableau, Power BI, and matplotlib for clear data presentation.
• Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences.
• Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects.
Qualifications
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• Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Experience: 3-5 years specializing in deep learning, including extensive experience in PyTorch and TensorFlow.
• Industry Expertise: Experience in finance, manufacturing, healthcare, or retail sectors.
• Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models.
Benefits
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• 5 Days a Week
• Health Insurance
• Flexible Timings
• Open Work Culture
• Workshops & Webinars
• Awards & Recognition
• Festive Celebrations