Lead Machine Learning
6 - 12 yrs
₹5L - ₹15L / yr
Remote only
Skills
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
PythonTime series
TensorFlow
Our team is inspired to change the world by making energy more intelligent, greener, and affordable. Established in 2011 in London, UK, and now headquartered in Gurgaon, India. We have become a leading energy-AI software player from unassuming beginnings at the vanguard of accelerating the global energy transition.
In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
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About Climate Connect Digital
Founded :
2010
Type :
Products & Services
Size :
20-100
Stage :
Profitable
About
Climate Connect Digital (CCD) is a London-based net zero solutions provider, and the independent cleantech software services arm of ReNew Energy Global (NASDAQ: RNW), a major international renewables, storage, and hydrogen developer.
CCD has over a decade of experience in carbon advisory services and software solutions for the climate and clean energy domains.
It has major offices in the UK and India, with a diverse team of 186 people working remotely worldwide, with over 50% of the team in tech and product.
CCD utilises its artificial intelligence (AI) and machine learning (ML) capabilities to build robust solutions for global sustainability problems. These are deployed on various national grids, and are helping to manage 12GW of renewable energy generation, 55GWs of peak power demand, and serve 298 million people.
We are committed to helping our customers succeed in their net zero journeys, to build a more sustainable future for all.
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
- Flexible working hours and leave policy
- Learning and development opportunities
- Medical insurance/Term insurance, Gratuity benefits over and above the salaries
- Access to industry and domain thought leaders.
At Climate Connect, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
We are building a remote-first organisation ingrained in the team ethos. We understand its importance for the success of any next-generation technology company. The team includes passionate and self-driven people with unconventional backgrounds, and we’re seeking a similar spirit with the right potential.
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Company social profiles
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If all of this sounds exciting to you, join us for an exciting and fulfilling ride at Tars!
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Till date, our product has enabled over 20,000 creators to build over 35,000 chatbots that have together completed over 50 million conversations.
What's more, we are poised for scale and growth, which is why we need more talent like yourself.
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- Employee Wellness <> Customer Success: We give as much importance to each team member’s personal & professional success as much as we care about our customer's success. We believe it’s all about balance.
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Tars is looking to hire an Account Executive to close new sales. In this role, your goal is to help:
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- Help customer support teams deliver a better experience with automation
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Please be aware that the market you will be selling into in this position currently will be the US. So you are expected to work during US EST hours.
Responsibilities:
- KPIs - Number of new deals closed, $ revenue added, opportunity to closed-won conversion rate.
- Follow a solution selling approach to understand the challenges customer is looking to solve and helping them realise why our product is the solution for them.
- Handle product demos for sales qualified leads - Show them how Tars can solve their challenges and achieve their goals. You’ll also present pricing, according to their requirements.
- Handle all further conversations from product questions to contract negotiations after an opportunity is created to eventually close the deal and handover to customer success team.
- Prioritize and consistently nurture all the leads in your pipeline with high quality followups.
- You will be supported by the rest of the team whenever you need assistance. Eg: if there are deep technical questions, an engineer can join the call with you. If there are questions about the product roadmap, a product manager will join the call. If you need help with negotiating a contract, the CEO will join the call with you.
- Identify insights and pain points from conversations with prospects, and contribute to the product roadmap by providing active feedback to the product team.
Requirements
Skills & Experience:
- Excellent written and verbal business communication skills.
- Experience in SaaS sales, to the US geography is a bonus.
Ability to learn quickly. Eg: learn the product, learn solution selling methodology, etc.
Personality traits:
- Fun & confident personality. Someone who loves to meet new people and build relationships.
- Pays great attention to detail, loves taking notes and maintains discipline with CRM.
- Highly motivated to work at a scaling startup.
What will a typical quarter look like?
- By the beginning of the quarter we’ll come up with the targets for the quarter, in terms of number of new deals closed, and $ revenue added.
- Based on the targets, you will prioritize the right leads to maximize your pipeline and close more revenue.
- You will participate in weekly deal reviews to discuss and get tactical advice to drive closure.
- In the last two weeks of the quarter we’ll start working on goals for the next quarter.
What will make you successful in this role?
- First and foremost, you need to be good at building rapport with prospects. Relationship building is very critical to be successful as a salesperson in this market. They need to first trust you before buying anything from you.
- You need to get really good at solution selling. Our product is not a commodity with simple features. You need to be able to connect the customer’s needs, don the consultant’s hat, and provide the right solution to them. That’s half the sale. You need to develop a good enough understanding of the product and the market to be effective at this.
- You need patience but you need to be proactive in nurturing the prospect to succeed in this role.
- You need to be resilient, be ready to face rejections and still keep going. Without an intrinsic motivation to perform well and constantly improve, this is a hard job. It will take time to succeed.
- You need to be disciplined and good at multi tasking. When you have many leads in your pipeline at any time, prioritization & context switching become critical skills. Otherwise, it’s easy to get overwhelmed.
How will we set you up for success in this role?
- We will provide you with detailed training to give you a head start. We’ll also talk about the competitive landscape, provide you access to hundreds of recorded conversations, and existing marketing materials. Our CRM is a treasure trove :)
- We will provide you an in-depth training into our product along with sandbox access to let you play around. The focus is for you to figure out how each piece helps toward solving the puzzle for customers.
- We’ll walk you through our current sales playbook and sales enablement materials. We’ll also do a deep dive on competitors and handling other objections, along with role plays to get you prepared.
- During the first 4 weeks, you will be invited to shadow plenty of sales calls just to listen in and understand how we go about sales currently. We believe everybody will learn different things from this process but it has worked very effectively in the past.
- We have a weekly 30 min standup for marketing, SDRs, and AEs to sync up along with the CEO. It ensures we are all aligned and understand the priorities. You will have a quarterly 1:1 review with the CEO to discuss your career goals and overall success, apart from regular mentoring.
- We will provide you access to the best SaaS sales resources and add you to a few SaaS sales communities so you can discuss with other people in similar roles - learn and teach at the same time. We’ve found that this is the fastest way to improve your skills.
- Most importantly, we will help you setup a one-on-one casual chat with every member of the Tars team so you get to know everyone well.
Why should you join Tars?
SaaS is set to explode in India and Inside Sales is one of the most critical functions for any growing SaaS company. Over the years we have developed some of the best practices in inside sales. In this role, you will get to learn a lot and become a highly skilled salesperson. At the same time, the team is still small enough for you to change how things are done and have an outsized impact.
Benefits
This is what our team members enjoy the most about Tars:
- Freedom & Responsibility: If you are a person who wants to take up challenging work & push your personal boundaries, then this is the right place for you.
- Great Salary & Equity: For our top performers and leaders, we grant stock options. As Tars continues to grow, you’ll have a real opportunity to create wealth for yourself and your family. We'll ensure you are financially well-off in the end.
- Transparency: If you ever wanted to know what it’s like to be on an entrepreneurial journey, then working with Tars gives you that opportunity to experience it all first hand.
- Remote-work friendly: Allowances to setup workspace at home and recurring allowances to make you happier and more productive.
If all of this sounds exciting to you, join us for an exciting and fulfilling ride at Tars!
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