Engineering Manager (AI/ML) Full-time

Engineering Manager (AI/ML) :

At Helpshift, we have 5 Leadership Principles that we integrate into our every day, and use to guide us in our goals. These principles reflect who we are as part Keywords Studios, and to show who we are when we come together, collectively, with other studios to achieve success:

• Power of Partnerships: We collaborate with our clients as an extension of their team. With shared passion and purpose, we proactively support them in bringing their stories to life.
• One Keywords: We believe in a network with efficiency at its core. Combining the strength of a global platform with the agility of local studios creates our superpower.
• Raise the Game: We embrace technology, innovation and our entrepreneurial spirit to help our clients and the industry thrive. Leveraging the sum of our experience brings new value to gaming and beyond.
• Embrace an Open World: We champion diversity of talent and ideas from every corner of our global community. Inclusivity makes us stronger and enables us to deliver world-class entertainment creation to our partners.
• Trust through Transparency: We pursue open and honest relationships with our people, clients and communities. Clear and authentic communication is foundational as we create success together.

As an Engineering Manager you will get a chance to work with and manage a technically rigorous but fun team of engineers. Our engineers are product minded (https://blog.pragmaticengineer.com/the-product-minded-engineer/) and take deep care about shipping quality features and maintaining our systems. Please check out our Engineering Blog: Helpshift Engineering to get a sense of all the interesting work going on at Helpshift.

Requirements

About the role:
• 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.

Qualifications:
• 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.

Nice to have:
• 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

Closing:

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.

By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.

Benefits

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