Data Science Lead

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Please find below the company details & job description.

Rishabh Software, an India based IT service provider, focuses on cost-effective, qualitative, and timely delivered Offshore Software Development, Recruitment Process Outsourcing (RPO) and Engineering Services.

Our Core competency lies in developing customized software solutions using web-based and client/server technology. With over 24 years of Software Development Experience working together with various domestic and international companies, we, at Rishabh Software, provide specific solutions as per the client requirements that help industries of different domains to change business problems into strategic advantages.

Product Development division - is relatively new and comes with a start-up culture where long path is built for developing reliable & scalable product/s.

Through our offices in the US, UK and India, we service our global clients with qualitative and well-executed software development, RPO and Engineering services.

Job Title: Data Scientist Lead (Technical Lead)

Experience: 7+ years

Work Location: work from office from Vadodara, Ahmedabad, Bangalore

Job Description

With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following:

1. Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
2. Deep experience in predictive analytics and statistical modeling
3. Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN

Essential Qualifications

B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred

Technical Qualifications (Essential)

1. At least 2 to 3 ML apps deployed in production
2. At least 1 to 2 Gen AI apps in production.
3. Experience in Computer vision is a must.
4. Core ML experience is a must
5. Hands-on programming experience
6. Hands-on technical design experience
7. Hands-on prompt engineering experience
8. At least 3 Data Science, AI Projects designed, developed and delivered to production
9. At least 1 Generative AI Project designed, developed and delivered to production

Primary Skills

• Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks
• Good understanding of business and domain of the applications
• Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms
• Hands-on experience in design and development of API based applications for AI and Data Science Projects
• Expertise in GenAI concepts, RAG and Models fine-tuning techniques
• Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience
• Understanding of DevOps pipelines for deployment
• Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake

Secondary Skills

• End to end data engineering project experience using Databricks and Azure Data platform
• Knowledge of any configuration management tools is desirable
• Familiarity with containerization and container orchestration services like Docker and Kubernetes

Description of Responsibility

Sills / Competencies requirement

Functional & Technical Responsibilities

• Understand customers requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects
• Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud)
• Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights.
• Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions
• Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,)
• Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects
• Provide technical solutions to sales, pre-sales teams for the proposals
• Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects
• Expert knowledge of data modeling and understanding of different data structures

• Experience with design of AI/ML solutions either as standalone or integrated with other applications

• Research Orientation

• Proactive & Clear Communication
• Collaboration
• Solution Orientation
• Solution Articulation
• Accountability
• Adaptability / Flexibility
• Analytical Skills
• Listening Skills
• Customer Service Orientation