AI ML Engineer

Position Overview

We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications.

Job Details

• Job Category: AI/ML Engineer
• Job Type: Full-Time
• Job Location: Bengaluru
• Experience Required: 5-10 Years

About Us

Roles and Responsibilities

Backend Development

• Design, develop, and maintain robust backend systems to support AI/ML applications.
• Implement APIs and services to integrate AI models with frontend applications and other services.
• Ensure scalability, performance, and security of backend systems.

Big Data Solutions

• Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB).
• Develop and optimize data pipelines for efficient data ingestion, processing, and storage.
• Ensure data integrity and consistency across multiple sources and formats.

Machine Learning

• Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks).
• Perform data analysis and feature engineering to improve model performance.
• Continuously monitor and refine models based on performance metrics.

Generative AI Knowledge Base Solutions

• Design and implement generative AI models for knowledge base creation and maintenance.
• Develop systems to integrate generative AI with existing knowledge management platforms.
• Optimize generative models for high-quality, relevant output in knowledge base contexts.

Collaboration and Communication

• Collaborate with data scientists, software engineers, and product managers.
• Communicate complex technical concepts effectively to non-technical stakeholders.
• Lead technical discussions and mentor junior team members.

Research and Innovation

• Stay updated on advancements in AI, machine learning, and big data technologies.
• Conduct research to explore new methodologies and enhance existing solutions.
• Propose and implement innovative approaches to solve complex problems.

Key Skills and Competencies

Core Technical Skills

• Proficiency in data analytics, descriptive analytics, and predictive analytics.
• Experience with regression and classification models like Linear Regression, Logistic
• Regression, Decision Trees, Random Forest, and Neural Networks.
• Expertise in programming languages: Python, R, SQL, Java, C, and C++.
• Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML.
• Hands-on experience working with LLM models.
• Proficiency in data modeling and data visualization.

Additional Skills

• Strong problem-solving skills focused on product development.
• Proven track record of supporting global clients or internal stakeholders in data science projects.
• Knowledge of AI-related fields such as image processing and video analytics.
• Ability to work across time zones and geographic borders.
• Exceptional written and spoken communication skills to convey technical concepts
• effectively to non-technical audiences.

Qualifications

• Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work in a dynamic and innovative environment.
• Professional development and learning opportunities.