Senior ML Engineer

2 months ago

Bengaluru, India Tietoevry Full time

Role

· As a Senior ML Engineer, you will work with the business units, business consultants, and infrastructure/technology teams to deliver innovative AI technology solutions that accelerate Digital Transformation and drive operational efficiency and business growth.

· Be an NLP and ML expert leveraging GenAI, and LLM to build high-quality AI Systems

· You should possess strong expertise in Generative AI (GenAI), and you will be at the forefront of implementing state-of-the-art GenAI Tech. Define the GenAI roadmap and own full-lifecycle delivery of Gen AI use cases from requirements, design, delivery, and maintenance.

· To design and build production-grade ML Systems, leveraged MLOps, build Large Language Models (LLM) Apps, PoC, and MVP by leveraging advanced NLP and GenAI Tech

· To be an expert and guide the team in all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

· Continue to develop organizational ML and GenAI capabilities through technical research, collaboration with SMEs (both internal and external), and new data source identification.

Key skills

· Possess comprehensive experience in building, training, and deploying models and own end-to-end development, delivery, and implementation of ML projects. Have comprehensive experience in architecting, designing, and developing multiple ML production solutions.

· Designing and implementing enterprise-grade ML and GenAI architectures. Expert in system engineering and building highly scalable architecture

· Should have owned at least five ML models complete life-cycle in production. Demonstrated a history of successful ML project implementation and deep expertise in LLM projects

· Expert in RAG and other industry-leading approaches for using domain data with LLM

· Expertise in LLM app evaluation, fine-tuning techniques for better performance, domain adaptation, latency, memory, LLM Guardrails, and throughput.

· Expert in building NLP Systems focused on Summarization, QnA, and Text Generation by leveraging GenAI and Prompt Engineering.

  • Experience with programming languages like Python, and analytical packages/libraries like Pandas, Scikit-learn, NumPy, etc. Spacy, NLTK, etc.
  • Experience in foundation models like GPT-3, Claude, AI21Labs, Llama, FLAN-T5
  • Expert in Azure and AWS AI Services. And open-source models Hugging Face LLM
  • AWS AI Services: AWS Bedrock, Amazon SageMaker, AWS Textract
  • Azure AI Services: Azure AI Studio, Azure OpenAI, ML Studio, Cognitive service, Azure Document Intelligence
  • Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation

· Experience in LLM frameworks: LangChain, LlamaIndex, and so on

· To be an expert or possess deep knowledge in Text Embedding and Vector databases (AI Search, Pinecone, Weaviate, etc.)

· Stay updated with the best practices, and latest advancements in Generative AI, and NLP and explore innovative techniques to enhance model capabilities

Added Skills:

· Experience with Docker and Kubernetes

· Experience with Deep Learning libraries and frameworks like TensorFlow, and PyTorch.

· Certifications in Generative AI, AI/ML and Cloud platforms

· Experience with MLOps technology: Git, Docker, Kubernetes, MLFlow, Airflow

Experience :

· 10+ years of relevant experience and 5 years of working in ML

Qualifications :

· Bachelor's / Master’s in engineering (CS/IT)

· Possessing Data Science /Machine Learning certification/course is an added advantage.

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