Data Scientist- GEN AI

Position: Assistant Professor – Computer Science & Engineering

Qualification: Ph.D. (or pursuing) in Computer Science/Engineering from a recognized institution. Candidates with strong academic/industry background may also be considered.

Key Responsibilities

• Teaching: Deliver lectures, tutorials, and labs at UG/PG levels in core CSE subjects (e.g., Algorithms, Data Structures, AI, Cloud Computing, Full Stack Development).
• Research: Conduct independent and collaborative research; publish in reputed journals/conferences.
• Curriculum Development: Design and update course content aligned with industry and academic standards.
• Student Mentorship: Guide students in projects, internships, and career development.
• Academic Administration: Participate in examinations, evaluations, and departmental activities.
• Industry & Outreach: Build collaborations with industry, contribute to consultancy, training, and placements.

Desired Skills

• Expertise in programming languages (Java, Python, C++), data analytics, AI/ML, cloud computing, or related domains.
• Strong communication and mentoring abilities.
• Commitment to academic excellence and institutional growth.

📢 We’re Hiring: MEAN Stack Developer

Shift Timing: 10:00 AM – 7:00 PM

Location: Kolkata | Work Mode: Office | Immediate Joiner Preferred

We are looking for an experienced MEAN Stack Developer with strong knowledge of MongoDB, Express.js, Angular, and Node.js to join our dynamic development team.

Requirements:

• Minimum 4 years of experience in MEAN Stack Development.
• Strong proficiency in Node.js and Angular.
• Hands-on experience with MongoDB, Express.js, and RESTful APIs.
• Knowledge of Git or similar version control tools.
• Strong problem-solving and teamwork skills.
• Immediate joiner preferred.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

• Highly proficient in JavaScript and Typescript, PassportJs, Sequelize.
• Working knowledge of Node.js frameworks such as ExpressJs, SailsJs, VueJs and  ElectronJs.
• Good understanding of server-side templating languages such as Jade, EJS, Mustache etc.
• Good understanding of server-side CSS preprocessors such as Stylus, Less,Sass etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Sound knowledge of Testing frameworks such as Mocha, Chai, Jasmine, Cucumber etc.
• Experience of writing unit, integration and E2E tests.
• Experience of working with SQL databases.
• Experience of integrating third party APIs.
• Good understanding of code versioning tools, such as Git.
• Good Communication Skills.

Recko Inc. is looking for a Lead Sales Development Representative to join our rapidly growing organization as a critical part of the marketing team. This is the perfect opportunity for a self-motivated, determined Sales expert to create a massive impact on a young, disruptive start-up.

About Recko:

Recko was founded in 2017 to organise the world’s transactional information and provide intelligent applications to finance and product teams to make sense of the vast amount of data available. With the proliferation of digital transactions over the past two decades, Enterprises, Banks and Financial institutions are finding it difficult to keep a track on the money flowing across their systems. With the Recko Platform, businesses can build, integrate and adapt innovative and complex financial use cases within the organization and  across external payment ecosystems with agility, confidence and at scale.  . Today, customer-obsessed brands such as Deliveroo, Meesho, Grofers, Dunzo, Acommerce, etc use Recko so their finance teams can optimize resources with automation and prioritize growth over repetitive and time-consuming tasks around day-to-day operations. 

Recko is a Series A funded startup, backed by marquee investors like Vertex Ventures, Prime Venture Partners and Locus Ventures. Traditionally enterprise software is always built around functionality. We believe software is an extension of one’s capability, and it should be delightful and fun to use.

Working at Recko:

We believe that great companies are built by amazing people. At Recko, We are a group of young Engineers, Product Managers, Analysts and Business folks who are on a mission to bring consumer tech DNA to enterprise fintech applications. The current team at Recko is 60+ members strong with stellar experience across fintech, e-commerce, digital domains at companies like Flipkart, PhonePe, Ola Money, Belong, Razorpay, Grofers, Jio, Oracle etc. We are growing aggressively across verticals.

What does the role entail? 

1. Use your research, prospecting, and people-skills to identify, connect and educate potential customers on the benefits and value of Recko’s suite.

2. Be a driver of change for prospect organisations and help them visualise a future which is being crafted by Recko.

3. Monitor metrics and help the team constantly improve by understanding their individual and collective performance
4. Work closely with sales and marketing leadership to test new content and positioning and drive the success of outbound programs

5. Qualify prospects and navigate organisations to identify the decision-makers.

6. Nurture, multithread, and map prospective accounts. 

7. Learn, leverage and help evolve the demand generation process.

8. Able to understand/explain concepts and ideas in a simple, clear and concise manner.

9. Great listener and quick thinker with an inquisitive nature.

Who are we looking for?

1. 4-5 years of experience in ADR/SDR/BDR roles evangelising technology products and at least 2 years of experience leading SDR Team. 

2. Experience working with medium and large organizations and C-level executives in particular in technology companies.

3. Proven track record of building and maturing BDR/SDR outbound teams in the technology sector

4. Outstanding verbal, written and presentation skills and well networked in the startup ecosystem.

5. Very strong interpersonal and communication skills to understand the needs of the business and the customer alike.

6. Experience using CRM’s 

7. Fearless and willing to take intelligent risks

8. Assertive and persuasive, every step of the way

9. Articulative, energetic and someone with a strong business acumen

Key Skill Set 

• 4- 5 years of experience in a role directly responsible for campaign planning, execution, optimization and reporting across multiple digital channels/media.
• Demonstrable experience managing SEM, display, email marketing, SMM campaigns.
• Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform and motivate.
• Hands on experience of CRO tools such as Salesforce Marketing Cloud, WebEngage, CleverTap, MoEngage etc.
• Working knowledge of CRM tools such as Salesforce, Leadsqaured etc. would be a Plus.
• Understanding of data analysis, trend spotting and technology in Digital space.
• Strong written & verbal communication skills.
• Skilled in problem solving, planning, as well as being able to adapt to new environments.

Key Responsibility Areas:

• Plan and outline cross channel digital marketing and remarketing campaigns, aligned to expected performance and returns.
• Should be updated with the ongoing marketing trends and capable to implement the changes in the system.
• Work on digital marketing platforms to execute campaign in the most efficient manner. Re-marketing campaigns in specific.
• Awareness about various content marketing platforms of the Market Research Industry.
• Experiment, scout and implement new digital marketing channels, tools, best practices to consistently improve ROIs.
• Work closely with the Sales & Product Teams and execute campaigns to meet business objectives.
• Monitor impact of each campaign on key site metrics and report to stakeholders, on a regular basis.