Ai & ml engineer

3 weeks ago

Chennai, India Sulekha Full time
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 Whats App/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a powerful and sophisticated marketing Saa S 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 Saa S 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, No SQL.
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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