Business Development Executive

Senior 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.

Requirements:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
• Should have a strong technical background on Windows or Linux
• Should be familiar with MFC, STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Proficiency in Tailwind CSS for development.

Experience in troubleshooting and debugging frontend applications.

Solid understanding and hands-on experience with either Angular or React.

Strong communication skills with the ability to collaborate effectively within a team.

A keen eye for detail and a passion for creating seamless user experiences.

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Required Skills (Technical):

•  Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch.
•  Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
• Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
• Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
• Knowledge of REST APIs and Web Services
• Experience with Python, R, sh/bash

Required Skills (Non-Technical):

• Fluent in English Communication (Spoken and verbal)
• Should be a team player
• Should have a learning aptitude
• Detail-oriented, analytically.
• Extremely organized with strong time-management skills
• Problem Solving & Critical Thinking

HIRING SQL Developers with max 20 days Of NOTICE PERIOD

Job ID: TNS2023DB01

Who Should apply?

• Only for Serious job seekers who are ready to work in night shift
• Technically Strong Candidates who are willing to take up challenging roles and want to raise their Career graph
• No DBAs & BI Developers, please

• Exposure to the latest technology
• Opportunity to work on different platforms
• Rapid Career Growth
• Friendly Knowledge-Sharing Environment

• BE/MTech/MCA/MSc
• 2yrs Hands Experience in MS SQL / NOSQL
• Immediate joiners preferred/ Maximum notice period between 15 to 20 days
• Candidates will be selected based on logical/technical and scenario-based testing
• Work time - 10:00 pm to 6:00 am

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

1. Technical Skills Desired:
   1. Experience in MS SQL Server, and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / any of NoSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
   2. Design database tables, views, indexes
   3. Write functions and procedures for Middle Tier Development Team
   4. Work with any front-end developers in completing the database modules end to end (hands-on experience in the parsing of JSON & XML in Stored Procedures would be an added advantage).
   5. Query Optimization for performance improvement
   6. Design & develop SSIS Packages or any other Transformation tools for ETL

1. Functional Skills Desired:
   1. The banking / Insurance / Retail domain would be a
   2. Interaction with a client a

1. Knowledge in a Cloud Platform (AWS / Azure)
2. Knowledge on version control system (SVN / Git)
3. Exposure to Quality and Process Management
4. Knowledge in Agile Methodology

1. Soft skills: (additional)
   1. Team building (attitude to train, work along, and mentor juniors)
   2. Communication skills (all kinds)
   3. Quality consciousness
   4. Analytical acumen to all business requirements
   5. Think out-of-box for business solution

You should apply if you have —

1. 3 - 5 years of technical experience (you can count internships & freelance work towards this).
2. Proficiency in React (especially Hooks) and Typescript; experience in Node.js is nice to have.
3. Experience in profiling apps for performance.
4. A track record of writing accessible and detailed version-control commits, documentation and code reviews.
5. A strong ability to write clean, scalable, self-documenting & highly-testable code.
6. Very good problem-solving skills.

You'll be helping us with some of these challenges —

1. How do we keep building more features while keeping the code clean, as small as possible and highly performant?
2. How do we build a strong testing-first delivery cycle so we can ship code with greater confidence?

We're problem-solvers at heart, and we value data-driven decision-making. We believe in high-quality execution, crafting great user experiences, honest & transparent communication and enabling our people to thrive and be the best version of themselves.

The early engineering + product team includes folks from https://home.lynk.co.in/" target="_blank">Lynk,Zoho and https://www.kilobytetech.com/" target="_blank">Kilobyte, and we're hoping to build one of the best teams in the city; kind & compassionate, diverse and smart — one you can be proud for being a part of.

We're all generalists and prefer picking the right tool for the job. That said, we do use a lot of new & exciting technology.

Backend

• Golang for most services and Node.js (https://koajs.com/" target="_blank">Koa, https://github.com/lukeed/polka#polka" target="_blank">Polka) for a few
• gRPC for inter-service communication
• PostgreSQL

Frontend

• 100% TypeScript
• React v17 & https://nextjs.org/" target="_blank">Next.js v10
• https://github.com/pmndrs/zustand#readme" target="_blank">Zustand
• https://chakra-ui.com/" target="_blank">Chakra-UI
• https://www.framer.com/motion/" target="_blank">Framer Motion
• https://storybook.js.org/" target="_blank">Storybook
• https://maizzle.com/" target="_blank">Maizzle

Infra

• AWS (with extensive use of RDS, S3, ECS, SQS, SES & CloudWatch)
• Gitlab for version-control and CI/CD
• All apps built and shipped as Docker images
• Kubernetes for container orchestration
• https://www.honeybadger.io/" target="_blank">Honeybadger for error analytics & uptime monitoring

What we look for: 

We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms. 

Responsibilities: 

• Work with multiple stakeholders to gather the requirements of data or analysis and take action on them. 
• Write new data pipelines and maintain the existing pipelines. 
• Person will be gathering data from various DB’s and will be finding the required metrics out of it. 

Required Skills: 

• Experience with python and Libraries like Pandas,and Numpy. 
• Experience in SQL and understanding of NoSQL DB’s. 
• Hands-on experience in Data engineering. 
• Must have good analytical skills and knowledge of statistics. 
• Understanding of Data Science concepts. 
• Bachelor degree in Computer Science or related field. 
• Problem-solving skills and ability to work under pressure. 

Nice to have: 

• Experience in MongoDB or any NoSql DB. 
• Experience in ElasticSearch. 
• Knowledge of Tableau, Power BI or any other visualization tool.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.