Data Scientist /ML Engineer

NeerInfo Solutions
Richardson, US
On-site

Why this role

Pace
Fast Paced
The role demands a fast-paced environment, as evidenced by the need for candidates to manage multiple projects and deploy AI solutions in production environments using MLOps frameworks.
Collaboration
High
Collaboration is key, as the job description highlights the need to work with clients and diagnose problems together, indicating a team-oriented approach.
Autonomy
High
Autonomy is high, with the role requiring the candidate to design solutions independently and manage the lifecycle of ML models.
Decision Impact
Individual
Decisions made by the candidate will have a significant impact on the operationalization of AI solutions and the success of client projects, as they will be responsible for deploying models and optimizing them for edge devices.
Role Level
Individual Contributor
The role is complex, involving a wide range of skills from designing scalable ML systems to deploying AI models on edge devices, requiring a deep understanding of both technical and business aspects.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designed scalable ML pipelines
  • Optimized CV models for edge devices
Typical background
5+ years in Information Technology

Transferable backgrounds

  • Coming from Software Developer at a tech startup
    Advanced Python development · CI/CD pipeline management
    The background in developing and deploying software in a startup environment equips candidates with the necessary technical skills to manage and optimize ML pipelines.
  • Coming from IT Consultant in the retail sector
    Retail domain knowledge · Client communication
    Experience in consulting for retail clients provides a strong foundation in understanding retail workflows and effectively communicating with stakeholders.

Skills & requirements

Required

Computer VisionEdge AI DeploymentGCP Cloud Services

Preferred

Retail Domain Experience

Stack & domain

Computer VisionEdge AI DeploymentGCP Cloud ServicesMlopsModel DeploymentCI/CDMonitoringOpencvTensorFlowPyTorchONNXYOLOContainerizationModel OptimizationHardware AccelerationData PipelinesFeature StoresML Model LifecycleMlops ToolsGrafanaPrometheusPoetrySnykProblem-solvingCommunicationStakeholder ManagementGCPComputer Vision TechnologyRetail

About the role

This role involves designing and deploying scalable machine learning pipelines for edge devices and cloud environments, requiring a candidate who is both technically proficient and adept at working closely with clients to understand and solve complex retail issues.

Original posting from NeerInfo Solutions via LinkedIn

Role : Data Scientist

Fulltime role

LOcation : Richardson Texas

seeking a ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. Candidate will be responsible for designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions in production environments using MLOPS framework for Model Management. Candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud.

Required Qualifications:

  • Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
  • At least 5 years of experience in Information Technology
  • Strong hands-on experience with MLOps, model deployment, CI/CD, and monitoring.
  • Proficiency in Computer Vision frameworks: OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
  • Experience deploying AI models on edge devices, Deepstream, Nvidia Services
  • Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
  • Hands-on with containerization, model optimization, and hardware acceleration
  • Solid understanding of data pipelines, feature stores, and ML model lifecycle
  • Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others

Preferred Qualifications:

  • Experienced in Agile way of working, manage team effort and track through JIRA
  • Certifications in GCP, MLOps and Computer vision Technology
  • High Impact client communication
  • Domain experience with Retail Clients
  • Strong problem-solving skills and ability to evaluate multiple solution paths
  • Excellent communication and stakeholder management skills

Source: NeerInfo Solutions careers (LinkedIn)

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