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PristineAI
PristineAI is pioneering a Self-Improving Retail enterprise solution platform. We are seeking highly motivated Solution/ML Engineers to join our teams in Mumbai and Chennai. As Solution/ML Engineer, you will leverage Software Engineering, LLM, Machine Learning, Oracle, and Azure to design, develop and implement solutions that will have a transformational effect on our clients financial success and operational efficiency.
Our solutions put the power of AI directly in the decision-makers hands and accelerate smarter merchandising and store operations actions. Everyday our SaaS platform receives and learns from 40 million+ new customer interactions, representing 12,000 stores/websites and 30 million customers. Headquartered in Woburn, MA, we are a team of proven innovators, subject-matter experts, and tech pioneers with a collaborative, results-driven mindset.
We are looking for Senior AI/ML Engineer with 3 to 5 years of hands-on experience to join our teams in Mumbai and Chennai immediately. For this role, we are looking for solid foundation in AI, Mathematics, Statistics or Computer Science with proven implementation experience. Expertise in Deep Learning would be a plus.
We apply LLM and Copilot technologies throughout our solution life cycle. We are looking for people with strong interest in innovative application of these technologies.
We leverage AI in every aspect of our Solution Platform. Both our UX and Backend are ML-driven. We need engineers who are interested in participating in each solution life cycle phase and learn and & use the technologies that the company has chosen for each task.
Critical Attributes:
High Level Integrity and Honesty
Strong Work Ethic
Sense of Customer Service and Ownership towards one's responsibilities
Readiness to put in the extra effort for learning the technologies selected by the company.
Clear oral and written communication.
Demonstrated ability to work hard, meet deadlines, and deliver high-quality results.
Local candidates preferred.
Ready to join quickly.
This is a work from office role.
Designation : Data Scientist/ Senior Data Scientist
Experience: 3- 5 years of experience
Education: Bachelors /Master's Computer Science, Software Engineering, AI, Statistics or Math
Locations: Chennai, Mumbai
Key Attributes and Abilities:
High Level of Honesty and Integrity
Technical Proficiency: A strong hands-on software development experience in some of the following: .NET, Java, Python, R, LLM, Oracle and Azure.
Flexibility and Adaptability: Exhibit a flexible mindset and adaptability to work seamlessly across multiple technologies, understanding the nuances and requirements of each.
Critical Thinking Skills: Showcase a strong aptitude for problem-solving and analytical thinking, ensuring the ability to overcome challenges and deliver effective solutions.
Communication Skills: Possess excellent communication skills, both written and verbal, with the ability to articulate technical concepts to non-technical stakeholders.
Collaborative Attitude: Thrive in a collaborative environment, actively contributing to team discussions, sharing ideas, and working cohesively towards common goals.
Technical Expertise and Familiarity
Supervised and Unsupervised ML algorithms.
Deep Learning techniques such as ANN, RNN, Transfer Learning, Explainable AI.
LLM and NLP
Causal inferencing, Significance testing, A/B testing
Gradient Descent, Multi-objective optimization, Combinatorial Optimization.
AI Search algorithms
Linear Regression, Logistic Regression, RF, Clustering, SVMs, Boosting.
Data Visualization tools such as matplotlib, tableau etc.
Languages: R, Python and SQL
ML Frameworks and Libraries: TensorFlow, Pytorch, SkLearn
Databases: Oracle,SQL/NoSQL, MySQL
Responsibilities:
Collaborating with data/AI Engineers, solution engineers, retail experts, and enterprise architects to implement solutions and improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
Deploying models into production environments, providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
Identifying, designing, and implementing internal process improvements including re[1]designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Develop, customize, and manage integration tools, databases, warehouses, and analytical systems.
Understanding business challenges, ask right questions, define precise problem statements, develop solution approaches that advance the state of the art, solve critical technical problems, lead the team, and rapidly deliver highly effective solutions.
Why Join Us
Immerse yourself in a culture fostering continuous learning and personal growth.
Engage in challenging and thrilling projects that will ignite your passion for innovation.
Become part of a supportive and collaborative team, where your ideas are valued, and contributions recognized.
Enjoy competitive compensation and comprehensive benefits as we invest in your professional and personal well-being.
Remunerations and Benefits:
Competitive salary
Collaborative and inclusive work environment
Opportunity to work on multitude of cutting-edge technologies.
Rapid career advancement potential.
Enjoy an annual allocation of 2 weeks dedicated to personal study and professional development.
Access comprehensive health insurance coverage to ensure your well-being.
Celebrate paid holidays, providing time for relaxation and rejuvenation.
How to Apply: Interested candidates are invited to submit their resume and cover letter to [Confidential Information] . Please highlight your experience and skills related to the key attributes, technical expertise, and familiarity mentioned above.
PristineAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Date Posted: 27/06/2024
Job ID: 83277673