Rohini IT Consulting LLP

http://www.rohiniit.consulting

Founded :

2016

Type :

Products & Services

Size :

0-10

Stage :

Bootstrapped

About

Established in 2016, Rohini IT Consulting LLP is a brand in itself leading IT Consulting and IT Talent Acquisition company engaged in the area of Web and Mobile product Engineering, Project Management, QA & Testing by offering latest technology solutions. We provide innovative, cost-effective, high-quality services that meet the challenges of various industries. Combining technology with business acumen to bring you comprehensive solutions, we work as a convenient one-stop solution provider, facilitating a combination of different services according to your varied business needs. People, Process & Technology are pillars of our company. Our experience in combining people and processes to deliver world-class personalized services makes us an ideal outsourcing partner. By leveraging innovation and through a standardised delivery model process, we provide the best return on investments for our clients. With a uniquely flexible delivery model, combining onshore/offshore IT staffing and services, Rohini IT Consulting LLP offers clients custom solutions from a trusted single source, based on deep customer insights developed through trusted relationships. By focusing on the best use and application of technology, Rohini IT Consulting LLP clients can reduce costs, even as they grow. In IT recruitment, we tap into global network to stay informed of the latest trends in recruitment and align ourselves to constantly stay in touch with emerging needs. This strategy powers our ability to answer the changing demands of international business and provides us ready access to the talents required to fulfill them.

Jobs at Rohini IT Consulting LLP

Data Scientist

Client based at Bangalore location.

Agency job

via Rohini IT Consulting LLP by Supriya C

Remote only

4 - 12 yrs

₹12L - ₹40L / yr

Python

Prompt engineering

Generative AI

Artificial Intelligence (AI)

real world evidence

+4 more

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

JOB DESCRIPTION

Responsibilities

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Real World Evidence (RWE) Analyst

Client based at Bangalore location.

Agency job

via Rohini IT Consulting LLP by Supriya C

Remote only

4 - 15 yrs

₹12L - ₹40L / yr

Real world evidence

RWE analyst

Data Science

Healthcare

Role: Real-World Evidence (RWE) Analyst

Location: Bangalore (Remote)

Experience:4 to 8+ years

JOB DESCRIPTION

Real-World Evidence (RWE) Analyst

Summary:

As an experienced Real-World Evidence (RWE) Analyst, you will leverage our cutting-edge healthcare data platform (accessing over 60 million lives in Asia, with ambitious growth plans across Africa and the Middle East) to deliver impactful clinical insights to our pharmaceutical clients. You will be involved in the full project lifecycle, from designing analyses to execution and delivery, within our agile data science team. This is an exciting opportunity to contribute significantly to a growing early-stage company focused on improving precision medicine and optimizing patient care for diverse populations.

Responsibilities:

· Contribute to the design and execution of retrospective and prospective real-world research, including epidemiological and patient outcomes studies.

· Actively participate in problem-solving discussions by clearly defining issues and proposing effective solutions.

· Manage the day-to-day progress of assigned workstreams, ensuring seamless collaboration with the data engineering team on analytical requests.

· Provide timely and clear updates on project status to management and leadership.

· Conduct in-depth quantitative and qualitative analyses, driven by project objectives and your intellectual curiosity.

· Ensure the quality and accuracy of analytical outputs, and contextualize findings by reviewing relevant published research.

· Synthesize complex findings into clear and compelling presentations and written reports (e.g., slides, documents).

· Contribute to the development of standards and best practices for future RWE analyses.

Requirements:

· Undergraduate or post-graduate degree (MS or PhD preferred) in a quantitative analytical discipline such as Epidemiology, (Bio)statistics, Data Science, Engineering, Econometrics, or Operations Research.

· 8+ years of relevant work experience demonstrating:

o Strong analytical and problem-solving capabilities.

o Experience conducting research relevant to the pharmaceutical/biotech industry.

· Proficiency in technical skills including SQL and at least one programming language (R, Python, or similar).

· Solid understanding of the healthcare/medical and pharmaceutical industries.

· Proven experience in managing workstream or project management activities.

· Excellent written and verbal communication, and strong interpersonal skills with the ability to build collaborative partnerships.

· Exceptional attention to detail.

· Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Other Desirable Skills:

· Demonstrated dedication to teamwork and the ability to collaborate effectively across different functions.

· A strong desire to contribute to the growth and development of the RWE analytics function.

· A proactive and innovative mindset with an entrepreneurial spirit, eager to take on a key role in a dynamic, growing company.