11+ Infrastructure management Jobs in Mumbai | Infrastructure management Job openings in Mumbai

Key Responsibilities

• Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products

• Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases

• Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure

• Should be actively involved in hunting and recruiting new talent

• Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services

• Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity

• Should be the primary point of contact of functional heads for all tech dependencies

• Take ownership of overall tech budget, reviewing expenses and planning for future costs

• Work closely with CTO and Product Head on the Tech roadmap of the organisation

• Become an integral part of the core team and be strongly aligned with the mission and values of the company

Main Qualifications

• 8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)

• Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead

• Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)

• Comfortable handling multiple competing priorities in a fast-paced environment.

• Well versed with cloud computing and infrastructure management AWS / GCP

• Has worked extensively on designing and implementing Microservices architecture

• Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.

• Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc

• Should be highly skilled in Python and have solid exposure to JavaScript

• Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers

• Excellent understanding of software engineering practices and Design Patterns

• A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes. 

Machine Learning/ NLP Engineers

Mumbai, India

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Responsibilities:  

• Drive the research and innovation in a result-oriented direction. 
• Stay up to date with the latest research trends, have a high level of curiosity and keep exploring advancements in NLU and their applications in conversational AI. 
• Mentor other team members during the experimentation phase and help them narrow down the inconclusive direction. 
• Come up with ideas to improve NLU capabilities using transfer learning from historical conversational data. 
• Benchmark the prototype on Data to gain the required precision. 
• Perform in-depth analysis of failure points of the algorithm on different environments. 
• Foresee data requirements for future research projects and come up with innovative approaches for data generation. 
• Scale models for multiple domains with the help of DevOps, backend and frontend teams. 
• Publish and present successful research in relevant journals and conferences. 

Requirements: 

• Experience with training and fine-tuning machine learning models on large text datasets. 
• Strong computer science fundamentals and 3+ years of software development experience. 
• Track record of thinking big and finding simple solutions while dealing with ambiguity. 
• Proven experience as a Natural Language Processing Engineer or other similar roles. 
• Good understanding of Natural Language Processing tricks and techniques for semantic extraction, data structure, and modelling. 
• Understanding of text representation techniques, algorithms, and statistics Familiarity with R language, Python, and Java. 
• Good knowledge of Machine Learning frameworks such as eras, PyTorch, etc. 
• Ability to code and design software architectures. 
• Problem-solving abilities, communication skills, and analytical mind.
• Proven and successful experience on at least one of the projects amongst information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing or machine translation. 
• Relevant publications, patents or talks delivered at reputed conferences are a bonus. ∙

Work Ex: 4+ years

BENEFITS PACKAGE:

TIFIN offers a competitive benefits package that includes:

·         Performance Linked variable compensation.

·         Medical insurance

·         Tax-saving benefits

·         Flexible PTO policy and Company-paid holidays

·         Parental Leave: 6 months paid maternity,

2 weeks paid paternity Leave

A note on location. While we have team centres in Boulder, New York City, San Francisco, Charlotte, and Bangalore, this role is based out of Mumbai.  

TIFIN is proud to be an equal-opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

Day in the life...

As a machine learning engineer at Neysa, you would be required to

- Collaborate with network engineers and IT teams to identify network-related challenges and areas where ML can provide solutions. Understand the specific network remediation problems that need to be addressed.

- Develop ML-based models and algorithms specific to issues that affect computer networks, for example, congestion, security threats and human errors.

- Be comfortable handling multiple types and data sources and then pre-process and clean them for modelling purposes. 

- Develop machine learning models that analyse networking data to predict (and possibly prevent) issues, detect anomalies or optimise performance. Choose the right approach for each, such as deep learning, reinforcement learning, or traditional statistical methods. 

- Train and evaluate the efficacy of your models, create performance metrics to assess robustness and effectiveness, and use feedback loops to make course corrections.

- Design solutions that can scale to handle large network environments efficiently. This typically means optimising execution latency and resource usage.  

- Integrate your model to work with running and maintaining a network. These could be with other machines, human operators, or both. 

- Document your design, architecture and your thought process. Work with the technical writers to make sure your message gets through.

- Stay updated with all that is changing in AI and ML.

Must have skills

- You should have expertise in machine learning algorithms, data processing, and model development. It would be best to have proficiency in associated frameworks such as TensorFlow, PyTorch or scikit-learn.

- You should understand how computer networks work, how they are used, how they fail, and what happens if they fail.

- You should be proficient in programming languages like Python, R, Go, LISP, etc. It would help if you also were very useful with old-school shell scripting. 

- Experience with data processing tools like Hadoop, Spark or Kafka. 

- An above-average understanding of Linux and operating systems in general.

What separates the best from the rest

ML and AI are continuously evolving, and so is understanding how these technologies can be applied to solve real-world problems. To do your best, you may also need to

- Conceptualise ways to map new problems to existing methodologies or create new ones.

- Be prepared to iterate, reiterate and then iterate your approach.

- Be able to interact with subject matter experts in multiple fields to identify potential use cases for machine learning.

What you can expect

An environment where you can do your best work...

- The best equipment that complements your talents

- The best tools in the business for you to bring your creations to life

- A great environment

- Flexible work hours and flexible work locations

- The opportunity to make your mark and shape the future

- And have fun...

1. Own Architecture and Design for one or more verticals end to end
   Work with stakeholders (Product teams, Partners, UI/UX teams & Vendors) to create right architecture for large scale, large volume consumer facing applications
2. Ability to work in ambiguous environments
3. Be on top of emerging technology and make recommendations to future-proof products and solutions
4. Ensure that systems are architected to be secure and resilient through the effective application of security and Business Continuity principles
5. Lead the definition and validation of architecture principles and standards

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR)  by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

Life at Cogoport :It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

Why Cogoport?

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

Areas of Impact for you

• Ownership of product delivery, devops, cybersecurity, performance, impeccable software quality, and configuration.
• Hands-on management with deep-dive into the details of software design, implementation and debugging.
• Attract, hire, retain, motivate and mentor the team..
• Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.
• Leadership role in the driving technical architecture, specifically leveraging micro-services.
• Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
• Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
• Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

Desirable Skills and Experience

• Bachelor or Masters in Computer Science with 8-10 years of total work experience in a software product company with at least 3-4 years of experience in managing projects and leading teams.
• Experience owning highly-available and scalable software systems
• Strong technical background with proven record of individual technical accomplishments
• Excellent organizational and communication skills.
• Ability to make quick decisions in high pressure environments.
• Demonstrated negotiation, influencing and problem-solving skills with attention to detail.
• Ability to handle multiple competing priorities in a fast-paced environment
• Understanding of team dynamics, have the ability to inspire highly-talented engineers and develop team-level leaders
• Experience with Agile development.

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.