Experience
3 - 5 yrs
Job Location
Ahmedabad, India
Vacancy
1
Designation
Ai Ml Engineer
Job Type
Not specified
Job Description
Python + AI/ML 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
We are looking for a talented Python + AI/ML 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
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: 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
- 5 Days a Week
- Health Insurance
- Flexible Timings
- Open Work Culture
- Workshops & Webinars
- Awards & Recognition
- Festive Celebrations
InterestedWe d love to have you.
No Referrers Available
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