Cloud Engineer

Lightning Job By Cutshort⚡

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Company Description

Iksha Labs is a technology company based in Gurugram. We are a strong cross-functional team of designers, software developers, and hardware experts who love creating technology products and services. With our deep expertise across several business verticals, we bring our best practices to ensure a smooth product journey for our clients. We have a passion for healthcare, medical devices, finance, consumer electronics, and other areas where we can build innovative technology solutions. We are constantly learning and expanding our horizons to create novel concepts and products.

Role Description

This is a full-time on-site role for a Machine Learning Engineer at Iksha Labs, located in Gurugram. As a Machine Learning Engineer, your day-to-day tasks will involve pattern recognition, computer science, neural networks, statistics, and algorithms. You will be responsible for developing and implementing machine learning models and algorithms, analyzing data sets, and collaborating with cross-functional teams to deliver high-quality solutions.

Responsibilities:

• Enhance and fine-tune Python code for improved execution speed and memory efficiency, guaranteeing the effective operation of machine learning models in production settings.
• Design methodologies for the periodic updating of machine learning models with fresh data, monitor their performance metrics continuously, and automate the process of model refreshment.
• Set up systems for monitoring and alerts to keep track of the performance, uptime, and overall health of machine learning models in production, addressing any irregularities or issues swiftly.
• Work closely with data scientists and software engineers to seamlessly integrate machine learning models into existing production environments and applications, ensuring smooth deployment and workflow compatibility.
• Establish and uphold guidelines and tools for the versioning, monitoring, and management of machine learning models and their related components across their entire lifecycle.
• Employ SQL and Python for efficient data handling and manipulation, including database querying and enhancement of data retrieval methods.
• Create and sustain detailed documentation for databases, features, codebases, and models to support team collaboration and the sharing of knowledge.
• Engage with diverse teams to ensure that machine learning solutions are effectively incorporated into production systems, with an emphasis on compatibility and scalability.
• Remain abreast of the latest trends in MLOps, DevOps, and associated technologies, adopting innovative tools and practices to advance operational procedures and workflows.
• Offer technical mentorship and support to colleagues, fostering an environment of knowledge exchange and cooperative effort across various disciplines.

Qualifications

• Strong background in pattern recognition, computer science, and statistics
• Experience with SQL
• Experience with cloud platforms such as AWS
• Familiarity with Docker
• Experience with model deployment and monitoring in production environments.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills
• Experience with neural networks and algorithms
• Proficiency in programming languages such as Python or R
• Experience with machine learning frameworks and libraries
• Ability to analyze and interpret complex data sets
• Excellent problem-solving and critical thinking skills
• Strong communication and collaboration skills
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience in the healthcare or finance industry is a plus

Do you love leading a team of engineers, coding up new products, and making sure that they work well together? If so, this is the job for you.

As an Engineering Manager in Unscript, you'll be responsible for managing a team of engineers who are focused on developing new products. You'll be able to apply your strong engineering background as well as your experience with large-scale development projects in the past.

You'll also be able to act as Product Owner (we know it's not your job but you'll have to do this :) ) and make sure that the team is working towards the right goals. 

Being the Engineering Manager at Unscript means owning up to all things—from technical issues to product decisions—and being comfortable with taking responsibility for everything from hiring and training new hires, to making sure you get the best out of every individual.

About Us:

UnScript uses AI to create videos that were never shot. Our technology saves brands thousands of dollars spent in hiring influencers/actors, shooting videos with them. UnScript was founded by distinguished alums from IIT, with exemplary backgrounds in business and technology. UnScript has raised two rounds of funding from global VCs with Peter Thiel(Co-founder, Paypal) and Ried Hoffman ( Co-founder, Linkedin) as investors. 

Required Qualifications:

• B.Tech or higher in Computer Science from a premier institute. (We are willing to waive this requirement if you are an exceptional programmer).

• Building scalable & performant web systems with clear focus on reusable modules.

• You are comfortable in a high paced environment and can respond to urgent (and at times ambiguous) requests

• Ability to translate fuzzy business problems into technical problems & come up with design, estimates, planning, execution & deliver the solution independently.

• Knowledge in AWS or other cloud Infra.

The Team:

Unscript was started by Ritwika Chowdhury. Our team brings experience from other foremost institutions like IIT Kharagpur, Microsoft Research, IIT Bombay, IIIT, BCG etc. We are thrilled to be backed by some of the world's largest VC firms and angel investors. 

• Understanding product features, preparing technical documentation.
• Take ownership over project timelines and deliverables.
• Contribute to the design, architecture and build of our Core Platform.
• Help scale the platform and build out new features.
• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
• Self-directed, but also work well with other engineers.
• Write well designed, testable, efficient code.
• Anticipate future technical needs and craft plans to realize them, and balance feature development with investments in tech debt reduction.
• The ability to combine speed and quality and that you can achieve both at same time.
• Excited about working for a startup and moving quickly.
• Experience in team handling will be a plus.
• Work with customers for understanding requirements whenever needed.

                                                       JD – Engineering Manager Role

Responsibilities:

• Designed, developed and deployed cloud-native applications (we use AWS)
• Working on or leading enterprise tech products and worked with enterprise customers
• Mentor & grow / Hire Engineering Managers to lead up these individual units.
• Work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace.
• Set up the organisation & processes to enable timely delivery of projects with high quality.
• Set up best practices for development and champion their adoption.
• Well versed in Software Architecture and Design - You should be able to spot flaws in the existing architecture and design. You would help us refactor and re-architecture the code for easier and faster development.
• Oversee Architecture & design of technically robust, flexible and scalable solutions.
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organisations.
• Create clear career paths for team members and help them grow with regular & deep mentoring.
• Identify, define, and coordinate the training needs of the team.
• Perform regular performance evaluation and share and seek feedback on a regular basis
• Building and maintaining data capabilities at KredX while taking care of scaling, privacy and processing aspects.
• Ability to work with external partners and vendors to integrate with KredX product
• Write blogs and other technical papers to share the lessons with community both inside and outside the company and or participates in technical events to get new knowledge to the organisation while improving brand of engineering team at KredX
• Appropriately escalate any issues/concerns that require immediate attention from other affected parties
• Always be thinking about the engineering systems and business from different angles - fraud, downtimes, scale, business direction and more

Requirements:

• Experience in working with large scale unstructured data, and data science
• Deep Understanding of enterprise grade technologies.
• Deep understanding & expertise with highly transactional, large relational and complex systems.
• Strong leadership skills.
• Possess superb troubleshooting and problem analysis skills.
• Knowledgeable about new engineering paradigms and developments in software engineering