15h Left: AI Expert

1 week ago

Pune, Maharashtra, India TekWissen India Full time

Role:
AI Expert

Location:
Pune, India

Experience: 6+ Years

Job Description:

Department:
Analytics & Software Department - DA

Domain:
Software Product Development - Digitization

Experience:
Minimum of 6 years of experience working in the field of AI, with a focus on solving technical challenges and implementing AI solutions.

Job Role:

  • As an AI Expert with a minimum of 5 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams.
  • Your primary responsibility will be to provide guidance and expertise in developing and implementing AI solutions.
  • You will work closely with cross-functional teams to ensure the successful integration of AI technologies into our products and services.
  • Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning.

Key responsibilities:

  • Development Governance
  • Guide internal and external developers and help to remove technical dependencies and impediments during the product development
  • Support Product Owner from a technical perspective
  • Support in technical planning of the product
  • Define enablers for the product backlog
  • Consult AI Architect for questions regarding technical requirements
  • Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process (taking part in necessary ceremonies, etc.)
  • Provide technical expertise and guidance to development teams in the implementation of AI solutions.
  • Analyze and understand technical requirements and propose AI-based solutions to address complex problems.
  • Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives.
  • Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process.
  • Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization.
  • Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews.
  • Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques.
  • Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization.

Mandatory Skills:

  • Minimum of 5 years of experience working in the field of AI, with a focus on solving technical challenges and implementing AI solutions.
  • Strong knowledge and understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision.
Deep understanding of AI design patterns as well as their immediate implementation,

  • Deep technical understanding of data processing for consumption/delivery by AI microservices,
  • Established knowledge of modern software development and microservice frameworks
  • Deep understanding of relevant technology landscape for AI&BI products
  • Proficiency in programming languages such as Python, R, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch).
  • In-depth understanding of Agile methodologies, especially Scaled Agile Framework (SAFe), and experience with PI planning and related activities.
  • Excellent problem-solving and analytical skills, with the ability to think creatively and propose innovative AI-based solutions.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
  • Proven track record of successfully delivering AI projects and overcoming technical challenges in complex environments.

Preferred skills:

  • General
  • Very high proficiency in Python
  • Very high proficiency in the most common python libraries for data science and machine
4.

learning:
Pandas, Numpy, Scikit-Learn, SciPy, Statsmodels, Keras, TensorFlow, PyTorch, Matplotlib

  • High proficiency in dependency management via Pip and Conda
  • High proficiency in code versioning via Git
  • High proficiency with Jupyter notebooks
  • Very good knowledge of MLFlow, both operational and deployment strategies/architectures on cloud and on premise
  • Very good knowledge of Spark (pyspark), Kafka, Hadoop, and data formats for Big Data
  • Good knowledge of flask for the development of microservices
  • Good knowledge of containerization via Docker
  • Good knowledge of Openshift

Optional:
data visualization tools (Power BI, Tableau)

  • Cloud
  • Azure Machine Learning
  • Azure Language Service
  • Azure OpenAI Service
  • Azure Data Lake
  • Azure Kubernetes Service
  • Databricks

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