


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

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with virtualization technologies viz. VMware, Hyper-V).
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About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.
In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Design, build, test, and implement predictive Machine Learning models.
- Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
- Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
- Collaborate cross-functionally with domain experts to identify gaps and structural problems.
- Contribute to standard business processes and practices as part of a community of practise.
- Be the subject matter expert across multiple work streams and clients.
- Mentor and coach team members.
- Set a clear vision for the team members and working cohesively to attain it.
Qualifications and Skills:
Requirements
- Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
- 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
- Highly technical:
- Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
- Understanding of data structures and data modeling.
- Effective communication and presentation skills
- Able to collaborate closely and effectively with teams.
- Experience in time series forecasting is preferred.
- Experience working in start-up type environment preferred.
- Experience in CPG and/or Retail preferred.
- Effective communication and presentation skills.
- Strong management track record.
- Strong inter-personal skills and leadership qualities.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Job Description
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Timely updation of MIS and other dashboards
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Should have experience working in Education sector in a sales oriented profile where s/he was responsible for admissions/enrollment targets.
Should be comfortable working in a target-oriented role.
Willing to learn, sales acumen, good with numbers.
Self-starter, self -motivated.

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following concepts
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Security Hardening
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current virus definition files
7. Follow the Policies and procedures at the client
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Responsibilities :
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Requirements :
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- Understanding of budgets and business-planning
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We are looking to hire an experienced Net Developer for a MLM Company in Kota. Apply today!
Roles and Responsibilities
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We are building a new app in vernacular languages in the ed-tech domain. Looking for highly skilled React Native + Android frontend engineers to build the product with A player's team.
We are funded by a leading VC in the country.

