AI & ML Engineer
1 month ago
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. Pro-Manage 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).
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.
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 OO skills, including strong design patterns knowledge.
- Familiarity with relational databases, NoSQL.
- Out-of-the-box thinking, and in-depth problem-solving.
Qualifications:
- BE / Master’s in computer science or any degree.
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
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