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Sr AI-ML Engineer

2 months ago

Pune, India Client Full time

Position – Sr AI-ML Engineer (Generative AI/LLMs)

Location – Hybrid, Pune

Compensation - Best and competitive

About Us

Yantra is a management and technology consulting firm headquartered in Santa Clara, California with offices in Canada, India, and the Philippines. Since 2009, we’ve been providing business consulting, application management, product engineering, data analytics, managed services, robotic process automation, process orchestration, and enterprise and financial systems. Our mission is to leverage cutting-edge AI technologies to solve real-world problems, enhancing productivity and delivering exceptional value to our clients. We are looking for a talented AI/ML Engineer to join our dynamic team and contribute to our exciting projects involving large language models (LLMs)

Job Overview:

As an AI/ML Engineer specializing in generative AI applications, you will be responsible for developing and optimizing the entire machine learning pipeline. This includes data preprocessing, model training, fine-tuning, and deployment. You will work closely with data scientists, software engineers, and product managers to create efficient and scalable LLM models that meet our enterprise clients' needs.

Key Responsibilities:

  • Design, develop, and deploy generative AI models
  • Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients.
  • Lead the training and fine-tuning of large language models (LLMs) to optimize performance for specific use cases.
  • Develop and implement effective prompt engineering techniques to enhance model outputs.
  • Identify, analyze, and mitigate model hallucinations and other inaccuracies in generated content.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to build robust and scalable AI solutions.
  • Conduct research and experiments to advance the state-of-the-art in Generative AI and LLM technologies.
  • Optimize and fine-tune LLMs to meet the specific needs and requirements of enterprise clients.
  • Develop and maintain high-quality code, ensuring best practices in software development and AI model deployment.
  • Stay up-to-date with the latest advancements in machine learning, deep learning, and natural language processing.
  • Mentor and guide junior engineers, fostering a collaborative and innovative team environment.
  • Communicate technical concepts and project progress to stakeholders, including non-technical audiences.

Required Skills and Qualifications:

  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in machine learning, deep learning and natural language processing.
  • Strong programming skills in Python, Pandas, TensorFlow, PyTorch, and other relevant ML frameworks.
  • Hands-on experience with popular GenAI LLM models (e.g., GPT-3, LLaMa, Mixtral), SLM’s with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, PyTorch, and long-term memory with Mem0 or similar)
  • Proven experience in designing and deploying Generative AI applications and LLMs.
  • Experience with fine-tuning pre-trained LLMs such as GPT, BERT, or similar.
  • Deep understanding of machine learning algorithms, neural networks, and statistical models.
  • Experience with cloud platforms such as AWS, GCP, or Azure for AI/ML workloads.
  • Strong experience in designing and implementing end-to-end AI solutions using Python, PyTorch, leveraging Databricks, Snowflake or similar frameworks and tools.
  • Experience working in an Agile/Scrum development process.
  • Familiarity with MLOps practices and tools for continuous integration and deployment (CI/CD) of ML models.
  • Familiarity with large-scale data processing and distributed computing.
  • Knowledge of data engineering and MLOps practices.
  • Understanding of ethical considerations and bias mitigation in AI models.
  • Contributions to open-source projects or publications in AI/ML conferences/journals.
  • Excellent problem-solving skills and the ability to think critically and creatively.
  • Strong communication skills, with the ability to explain complex technical concepts to diverse audiences.