Keywords Studios is hiring a
Engineering Manager

Summary

The job is for an Engineering Manager (AI/ML) at Helpshift. The role involves leading a team of engineers, managing ML systems, improving product performance, and building high-performing teams. The qualifications required include a Bachelor's degree, 5+ years of experience in developing products with data, machine learning, deep learning and generative AI, 3+ years experience in team management, proficiency in at least one programming language, leadership, team building, and mentoring skills, and production experience of Elasticsearch, Kafka, Redis. The company offers a hybrid setup, workers' insurance, paid time offs, and other employee benefits.

Requirements

• Bachelor's degree in software engineering, computer science, information systems, information technology, or similar
• 5+ years of experience in developing products with data, machine learning, deep learning and generative AI
• 3+ years experience in team management with 10-12 individual contributors
• Experience with hands-on development of ML solutions using NLP and generative AI
• Experience in MLOps tools to manage the ml models and data at scale
• In-depth knowledge of at least one programming languages such as Java, Clojure, Python or JavaScript
• Ability to mentor junior software developers, as well as to collaborate with all stakeholders
• Leadership, team building, and mentoring skills
• Exceptional interpersonal and communication skills
• Production experience of Elasticsearch, Kafka, Redis
• Ability to keep up with software industry trends and innovation

Responsibilities

• Lead the team in working towards the stability, scalability and resiliency of the Helpshift platform
• Manage the development, deployment, and integration of ML systems and software solutions
• Collaborate with Product Managers and peer EMs to ensure seamless integration of ML into the Helpshift product
• Strive to improve performance, efficiency and sustainability of product
• Lead initiatives to improve ML model quality, efficiency, observability and SLAs
• Build and nurture a high-performing team, reinforcing good engineering practises within the team
• Advocate on behalf of team members
• Demonstrate patience and use effective explanations when mentoring junior software developers
• Plan and execute strategies for completing projects on time
• Determine the need for training and talent development
• Hire team members and contractors
• Display strong work ethics. Be a team player with a strong sense of ownership and collaboration

Preferred Qualifications

• Have experience in managing 10+ engineers
• Proficiency in documenting processes and monitoring performance metrics
• Expertise in deep learning libraries like Pytorch and Tensorflow
• Knowledge of functional programming is a plus. (We use Python and Clojure)
• Experience in working with any one of MongoDB, Redis, Elasticsearch, Kafka or Postgresql at scale is good to have
• Contributed to open source ML software
• Authored/co-authored a paper on a ML technique, model, or proof of concept

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India