Deep Learning
Machine Learning (ML)
Data ScienceSenior Machine Learning Engineer
About the Role
We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.
This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.
Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.
What You’ll Be Doing
Building and Deploying ML Models
- Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
- Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
- Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
- Work with data engineers to design and validate data pipelines that feed ML systems.
- Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.
Leading and Architecting ML Solutions
- Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
- Architect ML solutions that integrate seamlessly with business applications and existing systems.
- Ensure models and solutions are explainable, auditable, and aligned with business goals.
- Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
- Set clear standards for how ML problems are framed, solved, and delivered within the team.
Collaborating and Communicating
- Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
- Translate business problems into clear ML objectives, inputs, and expected outputs.
- Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
- Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.
What We’re Looking For
Machine Learning Expertise
- Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
- Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
- Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
- Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
Production and Cloud Deployment
- Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
- Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
- Experience with Docker, Kubernetes, or serverless architectures is a plus.
- Ability to think beyond deployment and consider operational reliability and long-term maintenance.
Data Handling
- Strong programming skills in Python.
- Proficiency in SQL and working with large-scale datasets.
- Ability to reason about data quality, data limitations, and how they impact ML outcomes.
- Familiarity with distributed computing frameworks like Spark or Dask is a plus.
Leadership and Communication
- Ability to lead and mentor ML Engineers and work effectively across teams.
- Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
- Comfortable taking ownership and making decisions in ambiguous problem spaces.
- Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.
Experience Needed
- 6+ years of experience in machine learning engineering or related roles.
- Proven experience designing, selecting, and deploying ML solutions used in production.
- Experience managing ML systems after deployment, including monitoring and iteration.
- Proven track record of working in cross-functional teams and leading ML initiatives.
Shubham Vishwakarma
Full Stack Developer - Averlon
About TrumetricAI
About
Company social profiles
Similar jobs
Role Overview
We are looking for a Product Adoption Specialist who will play a key role in ensuring seamless implementation, training, and adoption of EasyEcom’s modules and new product features by our clients. This role involves hands-on onboarding support, client training, gathering on-ground insights, and driving product adoption through consistent engagement and feedback.
Key Responsibilities
- Conduct on-site and virtual product demos, training, and onboarding sessions for clients to ensure smooth adoption of EasyEcom’s modules and new features.
- Assist clients in initial setup and configuration of the EasyEcom platform, ensuring their systems are fully operational and integrated.
- Act as a bridge between clients and the product team, i.e., capture real-time feedback, identify usability issues, and suggest practical improvements.
- Track and report adoption metrics for new features and modules, and ensure clients are utilizing the platform to its full potential.
- Collaborate with internal teams (Product, Support, Key Accounts) to resolve implementation issues and ensure customer satisfaction.
- Develop training materials, documentation, and FAQs to enhance the self-service experience for clients.
- Maintain a high level of product knowledge and keep up-to-date with new releases and enhancements.
- Meet or exceed adoption and engagement targets set for existing and new clients.
Key Performance Indicators (KPIs)
- Successful completion of client onboarding within defined timelines.
- % of clients adopting new modules/features post-launch.
- Customer satisfaction and training feedback scores.
- Number of actionable product insights shared with the Product team.
Preferred Experience
- Prior experience in eCommerce operations or SaaS-based implementation.
- Exposure to warehouse or retail tech environments.
- Working knowledge of Excel, CRM tools, and support ticketing systems.
Required Skills & Qualifications
- Bachelor’s degree in Business, Engineering, or a related field.
- 1–3 years of experience in customer onboarding, product training, implementation, or customer success (preferably in SaaS or eCommerce tech).
- Strong communication and presentation skills in English and Hindi.
- Ability to explain technical concepts in simple, client-friendly language.
- Comfortable with frequent travel and hands-on work at client sites.
- An analytical mindset with the ability to capture and report actionable feedback.
- Comfortable working independently or in a cross-functional setup.
We are looking for an Accounts Data Entry Executive to support day-to-day accounting operations and ensure accurate financial data entry.
Key Responsibilities:
• Accounting data entry and record maintenance
• Voucher posting and billing entries
• Handling basic accounting tasks using Tally/accounting software
• Working with MS Excel for data management and reporting
Skills & Requirements:
• Basic knowledge of accounting principles
• Hands-on experience with Tally or similar accounting software
• Working knowledge of MS Excel
• Attention to detail and accuracy
Job Title
Business Development Manager – Corporate Sales
Basic Qualification
Graduation
Department
Client Servicing
Sub Department
Location
BANGALORE
Experience
6 to 10 Years
Job Summary
The Business Development Manager – Corporate Sales plays a key role in acquiring new business, generating revenue, and retaining clients in coordination with the underwriting and claims teams. This role involves building strong client relationships, cross-selling insurance products, managing a motivated team, and ensuring operational efficiency through MIS reporting and compliance adherence. The AGM must also maintain insurer relationships and oversee smooth policy renewals and changes.
1. Client Prospecting and Acquisition:
· Introduce to potential clients and arrange meetings with key decision-makers
· Conduct in-depth discussions to understand client needs and insurance requirements
· Coordinate with clients to generate RFQs (Request for Quotations) across different insurance lines
· Facilitate client onboarding by obtaining required data and engaging with the underwriting team to close deals.
2. Revenue Generation and Cross-Selling
· Coordinate with the underwriting team to earn maximum revenue from each deal, ensuring profitability at the individual, zone, and organizational levels
· Generate GWP across different insurance segments such as health, life, liability, and property insurance
· Identify opportunities to offer additional insurance products to existing clients to increase business
· Maintain the expense ratio target for the individual, team, and organization through efficient deal management.
3. Relationship Management
· Build and maintain strong relationships with clients throughout the insurance program duration to ensure satisfaction
· Collaborate with servicing and claims teams to offer a seamless client experience, ensuring high retention rates
· Proactively engage with clients to facilitate policy renewals and amendments as required
· Act as a liaison between clients and insurers to resolve any service issues or policy discrepancies.
4. Team Management and Development
· Encourage the team to actively engage with clients and generate new business opportunities through policy changes and renewals
· Involve team members in client interactions, insurer negotiations, and coordination with TPAs to boost their confidence and skills
· Monitor team performance and align individual goals with organizational objectives to achieve business targets
5. Corporate Visits and External Liaison
· Regular visits to client offices to strengthen relationships and identify new opportunities
· Maintain relationships with insurers to facilitate smoother underwriting and claims processes
· Engage with TPAs for quick resolutions and enhanced client service.
6. Daily MIS and Reporting
· Ensure accurate and timely preparation of daily MIS reports to track business progress
· Share insights with management to support decision-making and business strategy.
7. Compliance and Process Management
· Ensure all business operations comply with IRDAI regulations and organizational policies
· Identify areas for improvement in client servicing processes to increase efficiency and client satisfaction.
Additional Information
Company Industry:
Insurance Broking
Employment Status:
Full Time
Employment Type:
Regular
Number of Vacancies:
1
Working Days:
Monday – Saturday
Office Timings:
10:00 AM to 06:30 PM
Skills:
· Insurance Product Knowledge
· Client Relationship Management
· Team Management and Leadership
· Negotiation Skills
· Communication skills
· Regulatory Compliance Knowledge
· TPA Coordination Experience
· Project Management Skills
· Networking Skills
· Financial Acumen
· Problem Solving skills
Go Programming (Golang)- 1-3 years of experience in application/web development
- Good experience in working with programming languages Golang.
- Good understanding of REST APIs and the web in general
- Working knowledge of AWS and Kubernetes is a plus
- Understand end user requirements, formulate use cases and come up with effective solutions
JavaRole : SDET
Must have :
• Strong experience in developing enterprise test automation
• Expertise on the Microsoft technology stack (C# , ASP.NET 3.5/4.0/4.5, SQL Server).
• Selenium and either C# or Java
Good to have :
• Powershell/Other scripting language
• Knowledge of design patterns is desirable.
• Experience in Unified Product Engineering is desirable involving development, testing and test automation
Responsibilities :
• Ability to deliver software and artefacts independently.
• Work independently within self-organizing Agile teams.
• Plan and identify solutions and risks in assigned work.
• Design and develop solutions to strengthen a seamless CI/CD pipeline
• Excellent design, coding, debugging, problem solving and analytical skills.
• Prior experience with high volume, reliable UI test automation
• Be responsible for enhancing test automation framework to make it stable, reliable and
scalable.
Ruby on Rails (ROR)
Ruby
Python- 3 - 5 years of progressive IT experience with a minimum of 1+ years in building Ruby on Rails Web applications and RESTful API endpoints
- Proficient with scripting languages, specifically Python and Bash
- Experience in Object Oriented Java Script.
- Must have Linux command line experience.
- Good experience in developing and integrating reliable REST web services.
- Possess good communication, organizational and creative thinking skills.
- Multi-tasking individual that likes to work both in a team environment and individually
- Excellent technical abilities, leadership, decision making, and adaptability to new technology
- Good knowledge of Agile processes and practice
- Team player
about leap.club:
leap.club is a community led professional network for women. our mission is simple - more women in leadership positions. leaders from google, tinder, uber, bain, zomato, microsoft, along with solid entrepreneurs and professionals have joined our mission. we are funded by top angels and funds in India.
read what our members say about us here: https://love.leap.club/" target="_blank">https://love.leap.club/
read more about us and our culture here: https://leap.club/careers" target="_blank">https://leap.club/careers
about the role:
- you lead a team of member onboarding managers while onboarding new members and owning individual as well as team targets.
- in this role, you will be the face of leap and hold end to end responsibility for growing our community. female candidates are preferred since we are building a network for women.
- an ideal candidate would have exceptional communication and interpersonal skills, ability to hold an interesting conversation, high level of ownership and leadership skills.
- 4-5 years of solid sales/ client facing experience with at least a 1-2 years of experience leading a team are a huge plus!
Data ScienceMachine Learning (ML)About Us
Zupee is India’s fastest-growing innovator in real money gaming with a focus on predominant skill-focused games. Started by 2 IIT-Kanpur alumni in 2018, we are backed by marquee global investors such as WestCap Group, Tomales Bay Capital, Matrix Partners, Falcon Edge, Orios Ventures, and Smile Group.
Know more about our recent funding: https://bit.ly/3AHmSL3
Our focus has been on innovating in the board, strategy, and casual games sub-genres. We innovate to ensure our games provide an intersection between skill and entertainment, enabling our users to earn while they play.
Location: We are location agnostic & our teams work from anywhere. Physically we are based out of Gurugram
Core Responsibilities:
- Responsible for designing, developing, testing, and deploying ML models that can leverage multiple signal sources, to build a personalized user experience
- Work closely with the business stakeholders to identify the potential Data science applications
- Contribute by doing opportunity analysis, building project proposals, designing and implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines, etc
- Collaborate with software engineering teams to design experiments, model implementations, and new feature creation
- Clearly communicate technical details, strategies, and outcomes to a business audience
What are we looking for
- 4+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
- Previous experience in model deployment, model monitoring, optimization and model interpretability.
- Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
- Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.
- Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow
- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
- Technology-driven mindset, up-to-date with digital and technology literature, trends.
- Must have knowledge of Experimentation and Basic Statistics
- Must have experience in Predictive Analytics
Non-Desired Skills:
- Experience in Descriptive Analytics – Don’t apply
- Experience in NLP Text Analysis, Image, Speech Analysis – Don’t apply
Experience in Guidewire BC/CC/PC Configuration/Integration.
Hands on GW Implementation Proficiency and Experience in GW Configuration Development
Expertise configuring and developing several areas of BillingCenter/Policy center/Claim center including but not limited to – Account/Policy/Producer Handling, Various Plan Types, Billing Instructions, Charges, Charge Patterns, Charge Invoicing, Invoice Items, Direct/List/Agency Bill Processing, Premium Reporting, Holds and write-offs, Handling of Trouble Tickets/ Collaterals and Return Premium, Funds Tracking and Contacts.
Robust understanding of BillingCenter DataModel
Experience in GW Configuration Development (GOSU, Rules Engine, Data Model, PCF, Workflow, Product Model development)
Experience with XML, GUnit, Jenkins, GIT/Subversion/TFS, Code Coverage and Code Scan Plugin/Tools
Experience with Application Servers like WebSphere, Weblogic, JBoss and/or Tomcat
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon