AI & ML Engineer (2+years)

About Pro-Manage

Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients: Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more. ProManage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs. Pro-Manage is developed and offered by Sulekha, one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities. Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years. Pro-Manage and Sulekha have three of the most well-regarded firms as its investors: Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore).

Roles & responsibilities:

• Design, Architect, and Develop software solutions based on suitable design patterns.
• Adopt new and emerging technologies to provide solutions.
• Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems.
• Work alongside data scientists and software engineers to integrate machine learning models into production systems.
• Identify technical issues and provide resolution.
• Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision.
• Stay up to date with the latest advancements in AI and machine learning techniques.
• Ensure that machine learning pipelines and systems are scalable, efficient, and robust.
• Excellent communication and interpersonal skills.

Qualifications

• BE / Master’s in computer science or any degree.

Critical Skills

• Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years).
• Experience writing software in Python, Scala, R, or similar.
• Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale.
• Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.).
• Experience with data structures, algorithms, and software design.
• Experience in using any LLM models in real-time projects.
• Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment.
• Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience.
• Strong problem-solving skills with the ability to think critically and creatively.
• Ability to break down complex business problems into machine learning solutions.

Desired skills

• Experience with machine learning libraries and frameworks.
• Expertise in data manipulation and analysis.
• Experience with big data technologies.
• STS (Speech to Text & Text to Speech) #ASR (Automated Speech Recognition) Engine Exposure.
• Great OOPS skills, including strong design patterns knowledge.
• Familiarity with relational databases, NoSQL.
• Out-of-the-box thinking, and in-depth problem-solving.

Personal skills

• Result- and outcome-orientation
• High degree of enthusiasm, dynamism, and drive to succeed
• Capacity for hard work and perseverance
• Maturity to collaborate with peers to achieve overall success
• Capability to nurture and motivate direct reports to high success