Research Scientist - Machine Learning/Artificial Intelligence

MANDATORY:

• Super Quality Data Architect, Data Engineering Manager / Director Profile
• Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
• Product Companies (Prefers high-scale, data-heavy companies)

PREFERRED:

• Must be from Tier - 1 Colleges, preferred IIT
• Candidates must have spent a minimum 3 yrs in each company.
• Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

ROLES & RESPONSIBILITIES:

• Lead and mentor a team of data engineers, ensuring high performance and career growth.
• Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
• Drive the development and implementation of data governance frameworks and best practices.
• Work closely with cross-functional teams to define and execute a data roadmap.
• Optimize data processing workflows for performance and cost efficiency.
• Ensure data security, compliance, and quality across all data platforms.
• Foster a culture of innovation and technical excellence within the data team.

IDEAL CANDIDATE:

• 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
• Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
• Proficiency in SQL, Python, and Scala for data processing and analytics.
• Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
• Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
• Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
• Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
• Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
• Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
• Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
• Proven ability to drive technical strategy and align it with business objectives.
• Strong leadership, communication, and stakeholder management skills.

PREFERRED QUALIFICATIONS:

• Experience in machine learning infrastructure or MLOps is a plus.
• Exposure to real-time data processing and analytics.
• Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
• Prior experience in a SaaS or high-growth tech company.

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

Workflow & automation tooling: ticketing (Jira/ServiceNow), knowledge base, basic automation (RPA tools or scripts), file + email workflows

Technical basics: SQL queries, API fundamentals (REST/JSON), CSV/Excel proficiency, basic Python scripting (preferred)

Deployment support: staging vs production releases, rollback discipline, configuration management, UAT coordination

Documentation: write clear SOPs, runbooks, control checklists, and audit-ready evidence packs

Stakeholder coordination: translate business issues into actionable tasks for engineers; communicate status, risk, and mitigation clearly

Role: Sr. Data Scientist

Exp: 4-8 Years

CTC: up to 25 LPA

Technical Skills:

● Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

● Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

● Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

● Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

● Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

● Exposure to natural language processing (NLP) techniques is a plus.

• Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A master’s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred

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As a Tech Lead at RaptorX.ai you will lead our development team through the planning, execution, and successful delivery of cutting-edge, scalable, and high-performance web applications. With your extensive experience in both front-end and back-end technologies, you will drive the architectural decisions, mentor junior developers, and ensure the technical excellence of our projects. Your role will be pivotal in fostering innovation, implementing best practices, and contributing to the strategic direction of our technology stack.

Key Responsibilities:

• Technical Leadership:
• Architect, design, and develop complex full-stack applications, ensuring robustness, scalability, and performance.
• Lead the technical planning and architecture discussions, making strategic decisions on technology stack, frameworks, and tools.
• Conduct code reviews, ensuring adherence to coding standards and best practices.
• Stay abreast of emerging technologies and trends, integrating them into projects to enhance innovation and efficiency.
• Project Management:
• Collaborate with project managers, business analysts, and stakeholders to define project scopes, goals, and deliverables.
• Create detailed project plans, timelines, and roadmaps, ensuring timely delivery and alignment with business objectives.
• Manage risk assessment and mitigation strategies throughout the project lifecycle.
• Team Leadership and Development:
• Mentor and coach developers, fostering a culture of continuous learning and improvement.
• Lead by example, promoting a collaborative team environment that encourages open communication and innovation.
• Facilitate knowledge sharing sessions and technical workshops to enhance team skills and expertise.
• Quality Assurance:
• Implement and oversee rigorous testing frameworks and methodologies to ensure the delivery of high-quality solutions.
• Collaborate with the QA team to define test strategies, review test plans, and ensure that applications meet functional and non-functional requirements.
• Stakeholder Engagement:
• Communicate effectively with stakeholders, translating technical concepts into business language and vice versa.
• Gather and analyze feedback from end-users and stakeholders to inform continuous improvement of applications.
• Participate in client meetings, presentations, and proposal development.
• Operational Excellence:
• Ensure the reliability, security, and maintainability of applications.
• Oversee the deployment and operation of applications, including performance monitoring and optimization.
• Implement best practices for source control, continuous integration, and continuous deployment.

Prior Experience and Skills Required:

• Minimum 10 years of experience in full-stack web development.
• Proven track record of leading development teams in delivering complex web applications.
• Expertise in front-end technologies (e.g., JavaScript, React.js, HTML5, CSS3) and back-end technologies (e.g., Node.js, Python, Java).
• Strong experience with database design and management (SQL and NoSQL).
• Proficiency in cloud technologies and services (AWS, Azure, GCP).
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Familiarity with Agile methodologies and ability to adapt to changing priorities and deadlines.
• Excellent problem-solving, analytical, and technical troubleshooting skills.

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written.

Other Skills:

• Strong leadership and team management skills.
• Excellent communication and interpersonal skills.
• High level of personal accountability and responsibility.
• Ability to think strategically and execute tactically.

Salary:

• Competitive, based on experience and market standards.

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.