Contractor-05

Mphasis

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Demonstrated ability to lead AI/ML projects from conception to deployment.
  • Strong analytical skills and a passion for technology and innovation.
  • Strong AI/ML lead engineering skills with a focus on implementation.
  • Proficiency in programming languages such as Python, R, or Java.

Responsibilities

  • Design, develop, and implement AI/ML applications, focusing on large language models (LLMs) and their integration into existing systems.
  • Utilize programming languages such as Python, R, or Java to create robust and scalable software solutions.
  • Customize and optimize prebuilt models like GPT, BERT, and DALL-E for specific use cases.
  • Architect and design LLM-based applications, ensuring high performance and reliability.
  • Implement MLOps practices using tools such as Langchain, Llama Index, and Ragas to streamline model deployment and monitoring.
  • Collaborate with cross-functional teams to define project requirements and deliver high-quality software solutions.

Benefits

  • Opportunity to work with cutting-edge AI/ML technologies and advanced models.
  • Dynamic and collaborative work environment.
  • Exposure to cross-functional teams and innovative projects.
  • Participation in research initiatives and potential for publication.
  • Support for professional development and continuing education opportunities.
Full Job Description
Role description

Job Title: Software Development Engineer - AI/ML Lead

Location: Mph- Client Site, Dallas, TX, US

Job Summary:

We are seeking a highly skilled Software Development Engineer with a strong focus on AI and Machine Learning (ML) to join our dynamic team. The ideal candidate will possess exceptional engineering skills in AI/ML, with a proven track record of implementing and customizing advanced models. This role requires a deep understanding of software development best practices and the ability to work collaboratively in a fast-paced environment.

Responsibilities:
  • Design, develop, and implement AI/ML applications, focusing on large language models (LLMs) and their integration into existing systems.
  • Utilize programming languages such as Python, R, or Java to create robust and scalable software solutions.
  • Customize and optimize prebuilt models like GPT, BERT, and DALL-E for specific use cases.
  • Architect and design LLM-based applications, ensuring high performance and reliability.
  • Implement MLOps practices using tools such as Langchain, Llama Index, and Ragas to streamline model deployment and monitoring.
  • Develop and maintain applications utilizing natural language processing (NLP) and computer vision technologies.
  • Collaborate with cross-functional teams to define project requirements and deliver high-quality software solutions.
  • Contribute to research initiatives in AI/ML, including publishing papers and presenting at conferences.
  • Stay updated with the latest trends and advancements in AI/ML technologies and methodologies.

Mandatory Skills:
  • Strong AI/ML lead engineering skills with a focus on implementation.
  • Proficiency in programming languages such as Python, R, or Java.
  • Deep understanding of deep learning frameworks including TensorFlow, PyTorch, or Keras.
  • Experience in customizing and deploying prebuilt models like GPT, BERT, and DALL-E.
  • Knowledge of MLOps tools and practices.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Familiarity with relevant cloud services such as Amazon Bedrock, SageMaker, and Google Vertex.AI.
  • Strong problem-solving skills and the ability to work independently as well as in a team environment.
  • Excellent written and verbal communication skills.

Preferred Skills:
  • Experience with AI/ML APIs and services (e.g., Google Cloud AI, Azure AI Services, AWS SageMaker).
  • Knowledge of software development best practices and agile methodologies.
  • Contributions to AI/ML research, including published papers and conference presentations.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Demonstrated ability to lead AI/ML projects from conception to deployment.
  • Strong analytical skills and a passion for technology and innovation.

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