AI ML Developer

Job description
Designation: AI/ML Developer

Location: Ahmedabad

Job Summary:

We are looking enthusiastic AI/ML Developer with 3+ years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment.

Key Responsibilities:
• Develop and implement machine learning models tailored to business needs.
• Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI.
• Conduct data collection, cleaning, and pre-processing for model readiness.
• Train, test, and optimize models to improve accuracy and performance.
• Work closely with cross-functional teams to deploy AI models in production environments.
• Perform data exploration, visualization, and feature selection
• Stay up-to-date with the latest trends in AI/ML and experiment with new approaches.
• Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making.
• Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph.
• Ensure scalability and efficiency of deployed solutions.
• Monitor model performance and perform necessary updates or retraining.

Requirements:
• Strong programming skills in Python and experience with libraries like Tensor Flow, PyTorch, Scikit-learn, and Keras.
• Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems.
• Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning.
• Knowledge of knowledge graphs, semantic search, or symbolic reasoning.
• Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries.
• Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI.
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment.
• Knowledge of version control systems like Git.
• Experience with Natural Language Processing (NLP), computer vision, or predictive analytics.
• Exposure to MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow).
• Basic familiarity with big data frameworks like Apache Spark or Hadoop.
• Understanding of data pipelines and ETL processes.

What we offer:
• Opportunity to work on live projects and client interactions.
• A vibrant and learning-driven work culture.
• 5 days a week & Flexible work timings.