Job Description

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 Lead
  • Job Type: Full-Time
  • Job Location: Bengaluru
  • Experience Required: 6-8 Years

About Us

We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys.

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.

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