Oracle ERP consultant

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

Job Summary:

We are looking for a dynamic and results-driven Business Development Intern with 1 to 2 years of experience in IT sales to join our team. The ideal candidate will have a strong background in selling IT solutions and services, with a proven track record of achieving sales targets and building long-term client relationships.

Responsibilities:

*Identify new business opportunities and potential clients

*Generate leads through networking, cold calling, and other business development techniques

Requirements:

* Must have good communication skills (English)

* Knowledge of different portals such as LinkedIn sales navigator, Upwork, Guru, Apollo Benefits:

*Opportunity for career growth and development

*Dynamic and supportive work environment

*Flexible working hours

OfficeTimings:10 am to 7 pm

Working days- Monday to Friday (5 days)

• Architect new systems and improve existing ones by instrumenting best practices and technologies.
• Identify and build automated tools for release management, deployment, monitoring and reporting
• Identity and implement latest technologies and frameworks for application system stack, deployments, automation, capacity management, resource orchestration and availability.
• Responsible for fixing support escalation cases and conducting post-incident reviews / Root Cause Analysis.

• You will be partnering with the Product Owners, Engineers, Data Scientists, and other colleagues, working in a cross-functional and distributed team. Together, you will be actively involved in defining the customers’ and the business’ problems.

• You’ll identify the key metrics for the projects you are involved in and take ownership for achieving their success.

• You will research and bring forward new findings and learnings for reaching complex company goals - such as launching in new territories and offering new products.

• From wire-framing to designing end-to-end flows and prototypes, you will be in charge of designing products that solve problems in a simple and elegant way while taking care of every small detail.

• We love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs, thus you will be running user testing workshops and guerrilla testing

• Once that’s done, iterate, implement with the technical team, and present the final solution during the design reviews;

• We are not stopping here, we believe in continuous improvement, so you’ll review the performance of the release, identify learnings and find ways to enhance it.

• To ensure we are speaking the same language as a team, we have the support of a design system - so you’ll kick in!

• As a Lead Designer, you will have more responsibility around hiring, people management, and ownership of the product (or family of products) that you work on. You will also interact with our most senior stakeholders, and you will closely mentor a small team of Designers.