Data Science Engineer

Synactive India Pvt Ltd is seeking a dynamic and driven Technical Sales Executive to join our team. In this role, you will bridge the gap between our technical products and the needs of our clients, working closely with them to offer tailored solutions that drive business growth. You will be responsible for understanding our product offerings, engaging with prospective customers, conducting demos, and closing sales.

Key Responsibilities:

• Identify, prospect, and engage potential clients to introduce Synactive's product offerings.
• Conduct technical presentations and product demonstrations that effectively communicate the value and features of our solutions.
• Collaborate with clients to understand their technical requirements, presenting customized solutions that address specific business needs.
• Develop and maintain strong client relationships, focusing on long-term engagement and customer satisfaction.
• Work with cross-functional teams to ensure customer needs are met post-sale, including onboarding and support.
• Use CRM tools to track sales activities, pipeline management, and performance metrics.

Required Skills:

• Proven experience in technical sales or a similar role within the IT industry.
• Strong knowledge of relevant technologies (SaaS, cloud solutions, or other tech products).
• Excellent communication, negotiation, and relationship-building skills.
• Ability to explain technical features to both technical and non-technical audiences.
• Proficiency with CRM systems (e.g., Salesforce, HubSpot) and other sales tools.

Qualifications:

• Bachelor’s degree in Business, Information Technology, or a related field.
• 2+ years of experience in technical sales or similar role preferred.
• Strong analytical, presentation, and problem-solving skills.

Roles and Responsibilities

• Have a deep understanding of NLP, Computer Vision
• Potentially have exposure to Knowledge Graphs
• Have strong solution skills in translating customer needs to product requirements
• Engineering background mandatory, you will be expected to get hands-on with code and data
• Project manage the delivery of POCs and Product, interfacing with engineering and implementation teams
• Propose and implement fast Proof of Concepts and lightweight experiments
• Ability and experience working with technical teams, and development, requirement analysis, or PM experience around APIs is a plus
• Excellent analytical skills with a tendency to prefer data over instinct
• Experience working in a fast-paced environment, with competing resources and priorities, through planning, development, and launch.
• Exposure to data science will be a big plus.
• Exposure or experience in Financial Services a big plus

• Join a client call and understand what their requirements are
• Work with a developer (or solo) to build a quick POC using our technologies for the client
• Work with the engineering team to build and deploy production solutions (cloud and on-prem)
• Do calls with client technical, architecture, and data science teams to explain our product and deployment

• At least 3 years of diverse experience in product or services organizations working on NLP driven products
• Experience in serving Enterprise / Fortune 500 Clients
• Familiarity with the competitive landscape of NLP and Computer Vision products
• Experience in IDP / RPA a big plus
• Expertise in programming using Python or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

• AWS
• Azure
• ELK
• Google APIs
• Microservices Architecture Pattern

• Resourcefulness- - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
• Ownership- - We like to be directive and not prescriptive in our management. We- d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
• Work Ethic- - We've grown up on Wall Street. We work hard and have aggressive goals. We want our teammates to be focused, goal-oriented, and consistent high achievers.
• Execution Focus- - Our business is about getting things done and getting things done right. We want outcome-focused colleagues who can multi-task, and execute quickly and elegantly.

Collaborate with clients and internal teams to develop appropriate solutions

• Brainstorm with team members and prove the ability to think on the fly.

Requirements

• Core Java

• Spring Boot, Spring Rest, Spring Data

• Testing framework - Junit, Mockito

• Experience in deploying applications on one of public cloud preferably Microsoft Azure. (Other

- AWS or Google Cloud)

• Experience in one of messaging platform preferably Kafka (Other - Rabbitmq or Active MQ)

• Docker

• Kubernetes

• Others – Linux, Git, Maven, CI/CD pipeline

• Experience in working with Agile teams

Good To Have

• Git (6+ years of experience)

• Develop test cases, conduct SIT, load test, and tune the performance of systems to meet

acceptance criteria.

• Perform and manage stages of the SCRUM and participate in the systems review with Project

Lead/Manager.

• Experience in the development of cloud-native applications is an added advantage.

• Experience working in Agile teams

What We Offer

• National and International Business Trips (if there is an opportunity)

• Culture of Knowledge Sharing and Training

• Modern & lively working environment

• Opportunity to write books, participate in conferences

• International assignment

REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.

 Duties and Responsibilities :

• Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
• Build, release, and configuration management of production systems.
• System troubleshooting and problem-solving across platform and application domains.
• Suggesting architecture improvements, recommending process improvements.
• Evaluate new technology options and vendor products.
• Function well in a fast-paced, rapidly-changing environment
• Communicate effectively with people at all levels of the organization

Qualifications and Required Skills:

• Overall 3+ years of experience in various software engineering roles.
• 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
• Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
• Expertise in any of the programming languages – (NodeJS or Python preferable)
• Must have hands-on experience in using AWS/Azure - SDK/APIs.
• Must have experience in deploying, releasing, and managing production systems
• MCA or a degree in engineering in Computer Science, IT, or Electronics stream

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics