AI/ML Developer

1 week ago

Kannur, India Thinkwik Full time

We are looking for a talented AI/ML Developer with 1 to 3 years of experience and a strong foundation in Machine Learning, Natural Language Processing, and Data Science. If you have a passion for building intelligent, conversational AI systems and are excited to work on cutting-edge technology, we’d love to hear from you


Key Responsibilities

  • 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

  • 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

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Experience: 1-3 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.


Budget: 8 LPA

Location: Ahmedabad

Reporting to: Project Manager

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