Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services
. The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions.
Key Responsibilities:
Design and develop
ML, NLP, and GenAI models
to solve complex business problems.
Build, train, and optimize AI models using
Python
and relevant ML frameworks.
Implement
Azure AI/ML services
for scalable deployment of models.
Develop and integrate APIs for real-time model inference and decision-making.
Work with
large-scale data
to extract insights and drive strategic initiatives.
Collaborate with cross-functional teams, including
Data Engineers, Software Engineers, and Product Teams
, to integrate AI/ML solutions into applications.
Implement
CI/CD pipelines
to automate model training, deployment, and monitoring.
Ensure adherence to
software engineering best practices
and
Agile methodologies
in AI/ML projects.
Stay updated on
cutting-edge AI/ML advancements
and continuously enhance models and algorithms.
Conduct research on
emerging AI/ML trends
and contribute to the development of innovative solutions.
Provide technical mentorship and guidance to junior data scientists.
Optimize model performance and scalability in a
production environment
.
Required Skills & Qualifications:
Proficiency in Python
and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Hands-on experience in
NLP techniques
, including transformers, embeddings, and text processing.
Expertise in
Generative AI models
(GPT, BERT, LLMs, etc.).
Strong knowledge of
Azure AI/ML services
, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
Experience in
developing APIs
for model deployment and integration.
Familiarity with
CI/CD pipelines
for AI/ML models.
Strong understanding of
software engineering principles
and best practices.
Experience working in an
Agile development environment
.
Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
Strong background in
statistical analysis, data mining, and data visualization
.
Preferred Qualifications:
Experience in
MLOps
and automation of model lifecycle management.
Knowledge of
vector databases
and retrieval-augmented generation (RAG) techniques.
Exposure to
big data processing frameworks
(Spark, Hadoop).
Strong ability to communicate complex ideas to technical and non-technical stakeholders.
Experience with
Graph Neural Networks (GNNs) and recommendation systems
Senior Data Scientist: 8 years (Required)
ML, NLP, and GenAI models: 8 years (Required)
Python: 8 years (Required)
Azure AI/ML services: 8 years (Required)
Work Location: In person
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.