11+ Supervised learning Jobs in India

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

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The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India

• Strategizing & executing to improve Key Retention Metrics i.e Repeat Rate, % of Repeat Revenue, Revenue Per Customer, etc.
• Analyzing Regular Customer Cohort Performance, both on a product & company level.
• Developing the product subscription business on the website.
• Build retention marketing campaigns based on customer segmentation.
• Drive User Engagement in Lower Funnels using user engagement platforms
• Build the Customer Loyalty Programme for the brand.
• Creating Email & Marketing Strategy to increase repeat rate & overall basket size.
• Profiling Key Customer Groups Regularly
• Conducting Survey & Research to better understand Repeat Customer Behaviour & Habits
• Analyze and track performance - activation, engagement, retention and churn data analyzing experience is required.

As an IT Technical Lead, you will play a crucial role in managing and leading a team of IT professionals. You will be responsible for providing technical guidance, overseeing project execution, and ensuring the successful delivery of IT solutions. Your expertise will be instrumental in driving innovation, implementing best practices, and maintaining a high level of technical excellence within the organization.

Key Responsibilities:

Team Leadership: Lead a team of IT professionals, including developers, engineers, and support staff. Provide guidance, mentorship, and technical expertise to ensure team members' growth and success. Foster a collaborative and positive work environment.

Technical Strategy and Planning: Develop and implement a strategic technical roadmap aligned with the organization's goals and objectives. Stay up to date with emerging technologies and trends, and assess their applicability to the organization's IT infrastructure. Make recommendations for technology adoption or enhancements.

Project Management: Oversee the execution of IT projects, including resource allocation, task assignments, and timelines. Collaborate with stakeholders to gather requirements, define project scope, and ensure successful project delivery. Monitor project progress, identify and mitigate risks, and resolve issues as they arise.

Technical Expertise: Serve as a subject matter expert in various IT domains, such as software development, infrastructure management, cybersecurity, and data management. Stay informed about industry best practices and provide guidance on technical standards, frameworks, and methodologies. Conduct research and evaluation of new technologies to support business objectives.

Collaboration and Communication: Collaborate with cross-functional teams, including business stakeholders, product managers, and other IT teams. Effectively communicate technical concepts and solutions to both technical and non-technical stakeholders. Foster strong relationships with external vendors and partners.

Troubleshooting and Issue Resolution: Assist in troubleshooting complex technical issues and provide guidance to team members in resolving them. Identify root causes, implement corrective actions, and develop preventive measures to avoid similar issues in the future. Ensure the timely resolution of critical incidents.

Continuous Improvement: Drive continuous improvement initiatives within the IT department by identifying areas for optimization, streamlining processes, and implementing automation where applicable. Promote a culture of innovation, learning, and knowledge sharing within the team.

Qualifications and Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

Proven experience in a technical leadership role, managing and leading a team of IT professionals.

Strong technical background in one or more IT domains, such as software development, infrastructure management, cybersecurity, or data management.

In-depth knowledge of industry best practices, emerging technologies, and trends.

Proficiency in project management methodologies and tools.

Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Strong problem-solving and troubleshooting abilities.

Demonstrated ability to drive innovation, implement process improvements, and foster a culture of continuous learning.

• Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
• Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
• Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
• Involving in building and deploying large scale data processing pipelines in a production environment
• Working with data scientists and other engineers to develop data pipelines for model development and productization
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Providing inputs on right tool options and model designs for use cases
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Designing scalable implementations of the models developed by our Data Scientists

Desired Candidate Profile

• 3+ years strong programming experience in PySpark and Python
• Knowledge in Python, SQL, Spark (Pyspark)
• Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
• Analytical and problem-solving skills
• Knowledge in Scrum & code sharing Tech: Git, Jira
• Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
• Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
• Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources