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Job Title: AI Architect
Location: [Pune, Onsite]
Experience: 6+ Years
Employment Type: Full-Time
Working requirements:
Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.
Deliverable: Minimum Viable Product is already there, enhancement is required
Working Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneously
About the Role:
We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.
Key Responsibilities:
- Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.
- Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.
- Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).
- Define best practices for model training, validation, deployment, monitoring, and versioning.
- Collaborate with data engineers to build and maintain robust data pipelines.
- Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).
- Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.
- Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.
- Mentor junior AI engineers and data scientists.
Required Skills & Qualifications:
- Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
- 6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.
- Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
- Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.
- Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).
- Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).
- Knowledge of MLOps practices, CI/CD for models, and model monitoring.
- Familiarity with data lakehouse architecture, real-time inference, and APIs.
- Strong communication and leadership skills.
Preferred Qualifications:
- Experience with generative AI applications and prompt engineering.
- Knowledge of reinforcement learning or federated learning.
- Publications or contributions to open-source AI projects.
- AI certifications from cloud providers (AWS, Azure, GCP).
Why Join Us?
- Work on transformative AI projects across industries.
- Collaborate with a passionate and innovative team.
- Flexible work environment with remote/hybrid options.
- Continuous learning, upskilling, and growth opportunities.
Strong written/verbal communication skills
· Minimum 5+ Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)
· Good knowledge of the JVM with an understanding of performance and memory optimization.
· Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).
· Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.
· Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.
· Expert level understanding of Object-Oriented Concepts and Data Structures
· Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.
You will be involved throughout the product lifecycle, from idea generation, design, and prototyping to execution, and shipping.
You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that solve them.
Desired Skills :
● Total 1+ years of coding experience
● Experience with data structures and databases (SQL or NoSQL)
● Strong coder with proficiency in at least one programming language, such as Java, GoLang or NodeJS
● Ability to learn and work independently and make decisions with minimal supervision.
We're hiring an experienced SAP IBP Consultant with 6+ years of expertise in Demand and Supply Planning. The ideal candidate should have strong skills in key figure modeling, time series planning, and integration with S/4HANA or ECC. Prior experience with planning operators, forecast models, and Excel Add-in is required.
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities for Data Engineer
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
• Experience building and optimizing big data ETL pipelines, architectures and data sets.
• Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
• A successful history of manipulating, processing and extracting value from large disconnected
datasets.
monitoring
applications. The responsibilities of React Native Developers include writing code,
designing
solutions for applications, and improving functionality.
2+ years of professional experience working with React Native.
Work as part of a small team to build React Native iOS / Android applications for Full
Stack clients.
Architect, build, and maintain excellent React Native applications with clean code.
Release applications to the Apple and Google Play stores.
Interface with clients via Slack, Zoom, and email.
Work with modern tools including Jira, Slack, GitHub, Google Docs, etc.
Architect, build, and maintain excellent React Native applications with clean code.
Implement pixel-perfect UI that match designs.
Implement clean, modern, smooth animations and transitions that provide an
excellent user
experience.
Integrate third-party APIs.
Ability to build native modules when required
JavaScript, jQuery, Angular or node, HTML, CSS, API consumption, DB knowledge, building responsive web apps.









