Data Ml

Year    Noida, Uttar Pradesh, India

Job Description


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  • Software engineering experience with main focus on Python, SQL and database design, CI/CD, Git and familiarity with SDLC concepts.
  • Good to have knowledge on data science skills, including traditional statistical methods, machine learning, Natural Language Processing and Computer Vision.
  • Proven experience scaling data workloads using distributed compute (e.g., Spark, Apache Beam, Kubernetes) and exposing services via backend APIs.
  • Experience with a cloud environment (GCP, Azure, AWS), especially using distributed-compute resources (BigQuery, Spark, Redshift, HD Insight) and data processing tools (Apache Airflow/Beam, AWS Glue/Kinesis, Azure Data Factory).
  • Experience with machine learning model deployment to production and lifecycle management including ,serving and monitoring in cloud environment.
  • Strong attention to detail and teamwork skills with a self-motivated approach.
Location - Noida-
  • Software engineering experience with main focus on Python, SQL and database design, CI/CD, Git and familiarity with SDLC concepts.
  • Good to have knowledge on data science skills, including traditional statistical methods, machine learning, Natural Language Processing and Computer Vision.
  • Proven experience scaling data workloads using distributed compute (e.g., Spark, Apache Beam, Kubernetes) and exposing services via backend APIs.
  • Experience with a cloud environment (GCP, Azure, AWS), especially using distributed-compute resources (BigQuery, Spark, Redshift, HD Insight) and data processing tools (Apache Airflow/Beam, AWS Glue/Kinesis, Azure Data Factory).
  • Experience with machine learning model deployment to production and lifecycle management including ,serving and monitoring in cloud environment.
  • Strong attention to detail and teamwork skills with a self-motivated approach.
Location - NoidaCompetetive Salary|PF and Gratuity-
  • Software engineering experience with main focus on Python, SQL and database design, CI/CD, Git and familiarity with SDLC concepts.
  • Good to have knowledge on data science skills, including traditional statistical methods, machine learning, Natural Language Processing and Computer Vision.
  • Proven experience scaling data workloads using distributed compute (e.g., Spark, Apache Beam, Kubernetes) and exposing services via backend APIs.
  • Experience with a cloud environment (GCP, Azure, AWS), especially using distributed-compute resources (BigQuery, Spark, Redshift, HD Insight) and data processing tools (Apache Airflow/Beam, AWS Glue/Kinesis, Azure Data Factory).
  • Experience with machine learning model deployment to production and lifecycle management including ,serving and monitoring in cloud environment.
  • Strong attention to detail and teamwork skills with a self-motivated approach.
Location - NoidaOur client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world.Competitive compensation commensurate with role and skill set
Medical Insurance Coverage worth of 10 Lacs
Social Benifits including PF & Gratuity
A fast-paced, growth-oriented environment with the associated (challenges and) rewards
Opportunity to grow and develop your own skills and create your future.

Michael Page

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Job Detail

  • Job Id
    JD3341902
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Noida, Uttar Pradesh, India
  • Education
    Not mentioned
  • Experience
    Year