▷ Apply in 3 Minutes Artificial Intelligence/Machine Learning Engineer

3 weeks ago


Ahmedabad India Techify Solutions Pvt Ltd Full time

Job Description Description 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 (ref:hirist.tech)



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