Job
Description
Experience: 4 to 9yearsLocation: MumbaiImmediate to 15days ROLE & RESPONSIBILITIES o Design reliable, scalable, highly available ML solutions. o Formulate model-based solutions by utilizing machine learning, optimization, and simulation techniques. o Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. o Ability to pick up domain knowledge through discussions with client, business counterparts, internal/external literature, and utilize it to develop solutions and ML models. Analyze scenarios across various industries and understand business objectives o Perform literature survey to determine best applicable techniques machine learning and modeling techniques. Simplify and present solutions and ideas. o Make a business case for utilizing machine learning; articulate, visualize and present insights from the models in business terms familiar to customers; confidently provide recommendations to management; write presentations, reports, and working papers in power point, word, or excel. o Work with multiple business/functions and industry verticals to create proof of concepts (POCs)/Minimum Viable Products (MVPs) etc. and guiding customers through to production deployment and operationalization of projects. o Work independently with business stakeholders and senior leaders along with a cross-functional team o Lead, mentor, and direct cross functional teams comprising data scientist, data engineers, business analysts, and quality analysts. o Manage client interactions, project and scope negotiations, and resource management on an ongoing basis; manage conflicts and tradeoffs o Spot opportunities for business development with existing and new clients and work on proposals (with machine learning and business lens); communicate ideas effectively while making a strong business case >> THE INDIVIDUAL o Hands-on experience and expertise in python and various ML libraries to develop machine learning models and extensive data wrangling; machine learning and MLOPs experience on Azure, AWS, or GCP; good understanding of utilizing compute clusters, instances, and databricks. o Deep understanding of MLOps and machine learning lifecycle from data cleaning, feature engineering, model development, experimentation, deployment, and monitoring. o Demonstrable implementation of machine learning algorithms to solve business problems. o Good grasp of programming in python, experience of data structures, algorithms, and OOPS concepts. o Ability to translate and structure and design model-based solutions based on vague business problems is a must have. o Managed and worked on ML projects with scrum/agile framework and methodology with experience in planning, resourcing, scheduling, and project reporting. o Led and managed cross functional data science teams on a day-to-day basis; created long term and short-term plans o Managed direct interactions with clients and customer individuals including negotiations and conflicts o Ability to visualize, analyze, validate, and articulate results using power point, excel, and/or word documents. o Open to exploring new tools and techniques for implementation o Strong problem solving and logical approach skills o Excellent written and verbal communication skills; Strong communication, interpersonal, and report writing skills o Ability to work well in teams; mentor others and learn from team members with equal openness and enthusiasm o Ability to work under pressure – stringent deadlines and tough client conditions which may demand extended working hours o Willingness to travel within India or abroad for project/assignments. o Demonstrate integrity, values, principles, and work ethic and lead by example Good-to-have skills: • Understanding of mathematical programming, linear and non-linear programming, scheduling & optimization algorithms and simulations is a plus. • Certifications on cloud technologies is a plus • Demonstrated understanding of different domains such supply chain, finance, operations, sales, and marketing would be a nice to have. Client relationship building and management: • Establish and sustain long-term profitable client relationships that drive value creation, delivery excellence and a positive client work environment. • Leads the client lifecycle from initial contact through delivery. • Manages client expectations and client satisfaction. Acts as an advisor and partner to the client. • Works with the client to minimize delivery disruptions and effectively manages client urgencies. • Clearly communicate and explain concepts to senior stakeholders and key teams during sprint reviews and other program meetings Skills • Python • ML and visualization Library ecosystem in Python • Deep understanding of ML Algorithms and their nuances • Data cleansing and wrangling in python and MS excel • Feature engineering • Model development in either Azure, AWS, or GCP • Extraction, Transformation and Loading • Relational database and SQL language • Analytics development • Report Development >> Qualification o Degrees in computer science, industrial engineering, statistics, mathematics, machine learning or related fields o Must have studied subjects like machine learning, NLP, operations research, statistical analysis, and optimization techniques o 5+ years of hands-on development experience with Python and 2+ years of machine learning experience on AWS, Azure, or GCP o Experience in stakeholder interaction, solutioning, and independently managing client-facing projects >> SELECTION PROCESS o Candidates should expect up to 3 rounds of telephonic or face-to-face interviews to assess technical knowledge, fitment, and communication skills >> CRITERIA o Education 60% above throughout academic. o Machine Learning certifications would be a plus o Relevant Experience: 5+ years >> COMPENSATION o Compensation will be competitive according to industry standards. o Details of the compensation breakup will be shared with short-listed candidates only >> PEOPLE BENEFITS o Continuous learning program o Driving a culture of recognition through ‘ENCORE’ our quarterly rewards and recognition program o Comprehensive medical insurance coverage for staff and family o Expansive general and accidental coverage for staff o Executive Health check-up (Manager & above, and for staff above the age of 30) o Les Concierge desks o Internal & Global mobility o Various other people friendly initiatives o Strong commitment to our Values such as CSR initiatives The opportunity is now! If you are interested in being part of a dynamic team, serve clients across industry domains, learn the latest technologies, and reach your full potential – KPMG Advisory Services is for you!
