ML Ops (The.One)

Social Discovery Group (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.

More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.

SDG invests in social discovery technology startups around the world. Our Investments include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Magnet, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others.

We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.

Our digital nomad team of more than 1200 professionals works all over the world. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms.

Our teams of digital nomads live and work remotely from Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Japan, Australia, Poland, Israel, Turkey, Latvia and many others.

We are looking for a Senior ML Ops Engineer to join our internal product, Co-pilot.

Co-pilot is an innovative dialogue assistant integrated into our core global dating products. Designed to enhance user interactions, it offers real-time suggestions and personalized prompts, making conversations more engaging and meaningful. By seamlessly embedding Co-pilot in approximately 15 platforms, we ensure smoother, more enjoyable, and longer-lasting connections for our users. Join us in transforming the online dating experience with Co-pilot, where every chat counts.

Your main tasks will be:

• Design, implement, and maintain CI/CD pipelines for C# services using GitHub Actions;
• Develop and optimize ML pipelines for training, inference, and data processing;
• Manage and scale Kubernetes clusters in AWS;
• Implement and maintain infrastructure-as-code using Terraform;
• Enhance observability across the platform using VictoriaMetrics and Grafana stack;
• Collaborate with ML engineers;
• Implement GitOps practices for infrastructure and application management;
• Continuously improve system reliability, scalability, and performance.

We expect from you:

• Strong proficiency in Kubernetes, preferably with AWS EKS;
• Expertise in infrastructure-as-code, particularly with Terraform;
• Solid experience with CI/CD pipelines, especially GitHub Actions;
• Proficiency in Python for scripting and automation;
• Strong understanding of MLOps principles and practices;
• Experience with ML workflow optimization;
• Familiarity with AWS services, including MKS, SageMaker, and Bedrock;
• Expertise in monitoring and observability tools, specifically VictoriaMetrics and Grafana stack;
• Knowledge of network security and inter-network communication in cloud environments;
• Experience with GitOps methodologies and tools, especially FluxCD;

What do we offer:

• REMOTE OPPORTUNITY to work full time;
• Vacation 28 calendar days per year;
• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
• Bonuses up to $5000 for recommending successful applicants for positions in the company;
• Full payment for professional training, international conferences and meetings;
• Corporate discount for English lessons;
• ​Health benefits. If you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee, according to the paychecks. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
• ​Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc.

Sounds good? Join us now!