Ai/ml Solutions Architect

4 weeks ago


Remote, India IVID TEK INC Full time

**Job Title: AI/ML Solutions Architect (GCP, Vertex AI, Generative AI)**

**Job Type: Contract**

**Location: Offshore (schedule overlap with USA Pacific Time zones)**

**Start Date: ASAP**

If you’re an experienced Solutions Architect with a background in artificial intelligence/machine learning, and a mind for growth and creativity, We have an opportunity for you

As part of the core team, you will be driving the technical vision for pursuits of high-profile, enterprise-scale opportunities. In this role, you will build a solid understanding of our capabilities and combine that with cutting-edge technologies to develop comprehensive solutions that solve customer challenges.

**Duties And Responsibilities**:

- Work with internal and external stakeholders to gather goals and objectives, identify gaps and develop differentiated solutions that solve mission needs
- Support enterprise-wide growth strategies and initiatives aimed at differentiation of services and delivery, increased competitiveness, and industry thought leadership
- Establish and maintain relationships with customers and industry partners to understand mission needs and articulate capabilities
- Research and understand technology trends, particularly in the areas of agile software development, artificial intelligence (AI), machine learning (ML), data analytics, modeling & simulation and cloud technologies.
- Develop technical content for proposals, white papers and related materials in support of solicitations and conferences. Work closely with Pre-Sales team and write RFP’s
- Perform product and capability demonstrations for customers and industry partners as needed
- Hands on contributor, capable of leading research and prototyping efforts to prove out AI concepts that support proposal solutioning or customer engagements.

**Required Skills**:

- Bachelor’s degree in Computer Science, Software Engineering, Data Science or a related technical discipline and minimum 10 years of relevant experience
- Experience developing technology strategy, roadmaps, as well as researching, designing and implementing enterprise software solutions
- Ability to innovate and provide thought leadership in AI/ML systems and architectures
- Knowledge of and experience in automating scalable machine learning and inferencing pipelines
- Knowledge of and experience in real-time/near-real-time operational systems using AI/ML
- Experience with machine learning and data science tools (Jupyter, TensorFlow, PyTorch, scikit-learn, pandas, SageMaker, Google Vertex AI, Apache Spark, large language models, generative AI)
- Possess strong written and oral communication skills, including excellent presentation skills
- Ability to represent the company favorably, to develop new clients, and to negotiate with key members of other firms.

**Desired Skills**
- Demonstrated experience with solutioning and proposal development for government solicitations in one or more of the following technical areas: enterprise software systems, artificial intelligence/machine learning, remote sensing, cloud architectures and systems integration.
- Passion projects with ML/AI/NLP, for example Kaggle competitions and Hackathons
- Experience with architecting Generative AI solutions on GCP, and/or Vertex AI
- Experience working with technologies such as digital engineering, agile development, DevSecOps, containers, cloud migration and cloud native technologies.
- Familiarity with tools and techniques for ML data augmentation and synthetic training data generation
- Experience with reasoning under uncertainty (Bayesian Networks, Dynamic Bayesian Networks, Decision Networks, Subjective Logic, Fuzzy Logic)
- Experience with AI-based automated planning and plan recognition technology including planning domain definition language (PDDL) complaint planners
- Experience with Semantic Web technologies (OWL, RDF, Protégé, SPARQL)
- Experience with Kubernetes, NiFi, Hadoop, GCP, GKE, Vertex AI.
- Understanding of, or experience in, AI/ML for detection and classification



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