960 Artificial Intelligence jobs in Hyderabad

AI/ML Engineer – Pharma & Legal Document Intelligence

Experience : 3 years to 5 years

Location: Rajkot (Gujarat) / Hyderabad

Hiring Type : Contract-to-Hire (Initial contract for 6 Months)

About the Role

We at Websmith Solutions are hiring an AI/ML Engineer to design and deploy advanced pharma & legal document intelligence systems. You will leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform patents, molecule structures, regulatory filings, and legal documents into structured, queryable knowledge. The role combines document AI, data engineering, model training, and production deployment.

Key Responsibilities

• Build AI pipelines to parse, summarize, and classify pharma/legal PDFs (patents, molecule structures, court filings).

• Work with SMEs to extract key insights and build chatbots for interactive Q&A.

• Clean and integrate Excel/raw datasets into a central master database.

• Automate ingestion of fresh data from FDA portals, government, and legal websites.

• Customize and fine-tune LLMs on domain-specific data, ensuring high accuracy.

• Deploy and monitor models in production with scalability, reliability, and compliance in mind.

Required Technical Expertise

• Programming & ML Frameworks: Advanced Python, PyTorch/TensorFlow, HuggingFace Transformers, LangChain / LlamaIndex.

• Document Parsing & OCR: PyMuPDF, pdfminer.six, Apache Tika, Tesseract.

• NLP & RAG: embeddings (OpenAI, HuggingFace), vector DBs (FAISS, Pinecone, Weaviate, Milvus), chunking strategies.

• Data Engineering: ETL pipelines, SQL + NoSQL (Postgres, MongoDB), Excel/CSV cleaning & schema design.

• Model Training: fine-tuning transformers, LoRA/PEFT for efficient domain adaptation, dataset annotation/validation.

Nice-to-Have

• Deployment & MLOps: FastAPI/Flask for serving, Docker/Kubernetes for scaling, AWS SageMaker / GCP Vertex AI / Azure ML, MLflow or Kubeflow for monitoring.

• Compliance & Security: secure APIs, encryption, pharma/legal data privacy standards.

• Familiarity with chemical/molecule data formats (SMILES, InChI, RDKit).

• Background in pharma, biotech, or legal domains.

• Prior experience with sensitive, regulated datasets.

Why Join?

• Work on cutting-edge LLM + RAG projects applied to real-world pharma & legal problems.

• Opportunity to own the end-to-end lifecycle: ingestion → training → deployment → monitoring.

• Collaborate with experts across AI, pharma, and legal domains.

Lead Engineer-AI/ML:

About Us:

Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company,specializing in craftingflexible, agile, and scalable solutions that propelbusinesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clientsto achieve sustainable digital transformation that aligns seamlessly with their business goals.

Role and Responsibilities

• Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
• Work with extensive and complex datasets,performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
• Collaborate with cross-functional teams (e.g., product,engineering, data science)to identify project objectives and create solutions using generative AI tailored to business needs.
• Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resourceutilization.
• Develop pipelines and frameworks for efficient data ingestion, modeltraining, evaluation, and deployment, including A/B testingand monitoring of generative models in production.
• Stay informedabout the latestadvancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.

• Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

Qualifications Required

• Educational Background: Bachelor’s or Master’s degree in ComputerScience, Data Science, AI/ML, or a relatedfield. Relevant Ph.D.or research experience in generative AI is a plus.
• Experience: 8-11 years of experience in machine learning, with 2+ years in designing

and implementing generative AI models or working specifically with transformer-based models.

Technical Expertise:

• Proficiency in Python, along with experience in libraries and frameworks central to generative AI, such as Hugging Face Transformers, PyTorch,and TensorFlow.
• Strong understanding of transformer architectures, language models, and generative modelingtechniques (e.g., GANs,VAEs, autoregressive models).
• Expertise in data processing techniques for training large language models, including handling unstructured data, tokenization, and feature extraction.
• Familiarity with MLOps practices and tools (e.g.,Docker, Kubernetes, MLflow)for deploying and managing large-scale models in production.
• Experience with cloud platforms (AWS, GCP, Azure) and GPU/TPU resources for training and fine-tuning large models.

Core Skills:

• Machine Learning: Strong foundation in machine learningalgorithms, deep learning, generative AI techniques.
• Programming: Proficient in Python, with knowledge of SQL for data handling and retrieval.
• Data Engineering: Experience with data preprocessing, feature engineering, and data transformation specific to large and complexdatasets.
• Model Evaluation: Knowledge of model evaluation metrics and techniques for generative models, especially for text generation, image synthesis, or multimodal AI.

Soft Skills:

• Strong analytical and problem-solving skillswith a high level of attention to detail.
• Excellent communication skills, with the ability to explain complex generative AI concepts to both technical and non-technical audiences.
• Collaborative mindset with the capability to work effectively in cross-functional teams.

Skills and Experience Required:

• Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation
• Machine Learning: Algorithms, Deep Learning, Neural Networks
• Programming: Python,SQL; familiarity with libraries such as HuggingFace Transformers, PyTorch, TensorFlow
• MLOps: Docker,Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)
• Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

We Offer:

• Opportunity to work on technical challenges with global impact.
• Vast opportunities for self-development, including online university accessand sponsored certifications.
• Sponsored Tech Talks & Hackathons to foster innovation and learning.
• Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
• Supportive work environment with forums to explore passionsbeyond work.
• This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutionswhile advancing their career in a dynamic and collaborative environment.

Gen AI - Artificial Intelligence Specialist

Work Location: Hyderabad - Work from Office(Must)

Willing to Join - ASAP

Responsibilities -

• Drive customer conversations for Gen AI opportunities
• Understand customer specific requirements and create customer acceptable Gen AI solution architectures
• Create customer proposals and RFP responses
• Guide solution engineers in creating Gen AI POC and solutions for industry verticals
• Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency
• Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications

Qualifications -

• Experience in software development: 8+ years
• Experience in Generative AI solution development: 3 years
• Bachelor’s degree or above in Computer Science, Software Engineering or similar disciplines
• Experience in two industry domains and ability to learn new domains quickly
• Adept at critical thinking and logical reasoning for problem-solving
• Be good at teamwork and delivering under pressure
• Generative AI oriented
• Experience with at least one cloud technology: Azure, AWS, GCP
• Good understanding of NVIDIA or other similar technologies
• Understanding of sound design principles and patterns
• Solid appreciation of AI/ML concepts

Required Skills -

• Extremely dynamic and enthusiastic about technology
• Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js
• Be able to adapt quickly to new challenges and an evolving technology stack
• Excellent written and verbal communication skills. Fluent English is essential
• Strong analytical and critical thinking skills
• Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal)
• Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly
• Firsthand of Python, ML Algorithms and Statistics
• Knowledge of source code maintenance and versioning tools
• Strong in Object Oriented Programming Concepts
• Good in debugging and analytical skills

Preferred Skills -

• 5+ years of experience in ML development and MLOps
• Strong programming skills, with ability in languages like Python, with a good knowledge of ML, Data and API libraries
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with ML models and their development
• Should know ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Aí
• Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc.
• Experience working in a cloud environment (AWS, Azure, GCP) or a containerised environment (Mesos, Kubernetes)
• Interest in understanding functional and industry business challenges
• Desirable to know about IT Industry and potential GenAI use case in insurance processes
• Ideally, you’ll also have Expertise in Big Data, Data Modelling

Lead Engineer-AI/ML:

About Us:

Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company,specializing in craftingflexible, agile, and scalable solutions that propelbusinesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clientsto achieve sustainable digital transformation that aligns seamlessly with their business goals.

Role and Responsibilities

• Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
• Work with extensive and complex datasets,performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
• Collaborate with cross-functional teams (e.g., product,engineering, data science)to identify project objectives and create solutions using generative AI tailored to business needs.
• Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resourceutilization.
• Develop pipelines and frameworks for efficient data ingestion, modeltraining, evaluation, and deployment, including A/B testingand monitoring of generative models in production.
• Stay informedabout the latestadvancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.

• Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

Qualifications Required

• Educational Background: Bachelor’s or Master’s degree in ComputerScience, Data Science, AI/ML, or a relatedfield. Relevant Ph.D.or research experience in generative AI is a plus.
• Experience: 8-11 years of experience in machine learning, with 2+ years in designing

and implementing generative AI models or working specifically with transformer-based models.

Technical Expertise:

• Proficiency in Python, along with experience in libraries and frameworks central to generative AI, such as Hugging Face Transformers, PyTorch,and TensorFlow.
• Strong understanding of transformer architectures, language models, and generative modelingtechniques (e.g., GANs,VAEs, autoregressive models).
• Expertise in data processing techniques for training large language models, including handling unstructured data, tokenization, and feature extraction.
• Familiarity with MLOps practices and tools (e.g.,Docker, Kubernetes, MLflow)for deploying and managing large-scale models in production.
• Experience with cloud platforms (AWS, GCP, Azure) and GPU/TPU resources for training and fine-tuning large models.

Core Skills:

• Machine Learning: Strong foundation in machine learningalgorithms, deep learning, generative AI techniques.
• Programming: Proficient in Python, with knowledge of SQL for data handling and retrieval.
• Data Engineering: Experience with data preprocessing, feature engineering, and data transformation specific to large and complexdatasets.
• Model Evaluation: Knowledge of model evaluation metrics and techniques for generative models, especially for text generation, image synthesis, or multimodal AI.

Soft Skills:

• Strong analytical and problem-solving skillswith a high level of attention to detail.
• Excellent communication skills, with the ability to explain complex generative AI concepts to both technical and non-technical audiences.
• Collaborative mindset with the capability to work effectively in cross-functional teams.

Skills and Experience Required:

• Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation
• Machine Learning: Algorithms, Deep Learning, Neural Networks
• Programming: Python,SQL; familiarity with libraries such as HuggingFace Transformers, PyTorch, TensorFlow
• MLOps: Docker,Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)
• Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

We Offer:

• Opportunity to work on technical challenges with global impact.
• Vast opportunities for self-development, including online university accessand sponsored certifications.
• Sponsored Tech Talks & Hackathons to foster innovation and learning.
• Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
• Supportive work environment with forums to explore passionsbeyond work.
• This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutionswhile advancing their career in a dynamic and collaborative environment.

Gen AI - Artificial Intelligence Specialist

Work Location: Hyderabad - Work from Office(Must)

Willing to Join - ASAP

Responsibilities -

• Drive customer conversations for Gen AI opportunities
• Understand customer specific requirements and create customer acceptable Gen AI solution architectures
• Create customer proposals and RFP responses
• Guide solution engineers in creating Gen AI POC and solutions for industry verticals
• Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency
• Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications

Qualifications -

• Experience in software development: 8+ years
• Experience in Generative AI solution development: 3 years
• Bachelor’s degree or above in Computer Science, Software Engineering or similar disciplines
• Experience in two industry domains and ability to learn new domains quickly
• Adept at critical thinking and logical reasoning for problem-solving
• Be good at teamwork and delivering under pressure
• Generative AI oriented
• Experience with at least one cloud technology: Azure, AWS, GCP
• Good understanding of NVIDIA or other similar technologies
• Understanding of sound design principles and patterns
• Solid appreciation of AI/ML concepts

Required Skills -

• Extremely dynamic and enthusiastic about technology
• Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js
• Be able to adapt quickly to new challenges and an evolving technology stack
• Excellent written and verbal communication skills. Fluent English is essential
• Strong analytical and critical thinking skills
• Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal)
• Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly
• Firsthand of Python, ML Algorithms and Statistics
• Knowledge of source code maintenance and versioning tools
• Strong in Object Oriented Programming Concepts
• Good in debugging and analytical skills

Preferred Skills -

• 5+ years of experience in ML development and MLOps
• Strong programming skills, with ability in languages like Python, with a good knowledge of ML, Data and API libraries
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with ML models and their development
• Should know ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Aí
• Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc.
• Experience working in a cloud environment (AWS, Azure, GCP) or a containerised environment (Mesos, Kubernetes)
• Interest in understanding functional and industry business challenges
• Desirable to know about IT Industry and potential GenAI use case in insurance processes
• Ideally, you’ll also have Expertise in Big Data, Data Modelling

Experience: 5+ Years

Proficiency in Python to manipulate data and draw insights from large data sets is a must. Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of popular ML and non-ML libraries: TensorFlow, Torch, Sklenar, etc.

Solid understanding of machine learning concepts and techniques, particularly in NLP.

Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, . Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, .

Experience in code management using Git Secondary Skills

Strong problem-solving skills and the ability to work collaboratively in a team environment. Excellent written and verbal communication skills.

Experience in leveraging large language models (LLMs) and frameworks such as Lang Chain and Lang Smith for creating and optimizing AI-driven conversational applications.

| About us:

Foodsmart is the leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver long-term health outcomes. Through our highly personalized, digital platform, we guide our 2.2 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment will help us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

Measured: We make data-driven, truth-seeking decisions.

Impactful: We are fueled by achieving our mission and vision.

Collaborative: We help each other be better and create a positive environment.

Hungry: We maintain a healthy growth mindset, seeking to overcome challenges with courage.

Joyful: We take joy in each other, our work, and the privilege of doing this work.

Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

| About the role:

The AI Engineering team at Foodsmart is at the heart of transforming how millions of people access personalized nutrition and care. From building conversational experiences and predictive models to optimizing personalized outreach, the team integrates intelligent systems across the entire member journey. The Senior AI Engineer will play a critical role in designing and deploying solutions that drive real-world impact—like tailoring communications, improving engagement, and reducing missed appointments. We’re looking for someone who thrives in applying modern AI to practical challenges and who’s excited to shape the future of digital foodcare through scalable, thoughtful innovation.

You will:

• Develop scalable, high-performance backend applications using TypeScript, Node.js, and relational databases like PostgreSQL or MySQL.
• Build and maintain APIs and microservices that enable real-time and batch inference of AI/ML models.
• Fine-tune and adapt pre-trained models (e.g., LLMs, classification models) for specific business use cases.
• Integrate external AI services (e.g., OpenAI, Hugging Face, Google Vertex AI) where appropriate.
• Collaborate with cross-functional teams—ML engineers, software developers, product managers, and DevOps—to deliver end-to-end AI-powered features.
• Contribute to MLOps workflows, including deployment, versioning, and monitoring of models in production.
• Follow engineering best practices for clean code, testing, observability, and reliability.
• Stay up to date with advancements in AI tooling and infrastructure to continuously improve system performance and model impact.

You are:

• A strong backend engineer with experience building robust systems and a passion for applied AI.
• Proficient in Node.js, TypeScript, and SQL, with experience delivering production-grade services.
• Familiar with deploying and integrating ML models into applications, including fine-tuning pre-trained models.
• Comfortable working across backend systems and AI pipelines.
• A team player with excellent communication and collaboration skills.
• Detail-oriented and proactive about writing secure, maintainable, and scalable code.

You have:

• 2-5+ years of professional software engineering experience
• 1+ years of backend development with TypeScript and Node.js
• 1+ years of hands-on experience deploying AI/ML models (e.g., Hugging Face, OpenAI, or similar frameworks)
• Strong proficiency with SQL and experience using PostgreSQL or MySQL
• Familiarity with cloud platforms (AWS, GCP) and CI/CD pipelines
• Exposure to MLOps tools such as Docker, Kubernetes, MLflow, or Airflow
• Bachelor’s degree in Computer Science, Engineering, or a related technical field