India presents numerous opportunities in the artificial intelligence (AI) domain, experiencing rapid growth in tech sectors requiring AI skills like machine learning and deep learning. Explore job openings for AI engineers, data scientists, and machine learning specialists, pivotal in driving innovation across various industries. 3,088 Artificial Intelligence jobs in India
Senior Managing Consultant - Data & Ai Consulting
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Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
Are you ready to embark on an exhilarating journey as a Data Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner.
As a Data Consultant, your impact will be monumental. You will unleash the potential of data technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.
Prepare to immerse yourself in the world of data strategies and programs, crafting ingenious approaches to collecting, storing, analyzing, and visualizing data from diverse sources. Your technical expertise in a vast array of cutting-edge big data tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.
But that's not all – your role as a Data Consultant at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge data-driven strategies that reshape their future. Educating our customers about the latest Data Science technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.
Armed with an analytical approach, you will unveil strategies, assessments, recommendations, and comprehensive plans to address complex issues while seamlessly aligning both the technical and functional requirements of IT and the business. Your deep consulting skills and business acumen will be harnessed to analyze customer business issues, formulate hypotheses, and test conclusions, ultimately delivering data solutions that defy expectations.
If you have a passion for turning data into a force for change and thrive in a dynamic, fast-paced environment, this is your chance to shine! Unleash your creativity, embrace innovation, and become a master of efficiency as you create solutions that revolutionize customer business and IT landscapes. Join Kyndryl and become part of a remarkable team that turns data into success stories.
Your Future at Kyndryl
As a Data Consultant at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts – presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Technical and Professional Experience:
Total of around 10+ years of experience of delivering Data & 5+ years of delivering AI Solutions/Applications for clients in above listed industry segments
Total of 2+ years of experience with Generative AI usecases and technologies
This position has higher focus on Microsoft Azure Data & AI solutions. Atleast 5+ years of exp with Microsoft Data & AI solutions
Deep functional & process knowledge within atleast 4 of the following functional domains within atleast 2 of the above listed industry segments:
Total of around 12+ years of experience within atleast 2 industry segments from below:
Banking
Financial Services
Insurance – Life; Non-Life; Re-insurance only
BFSI multi-industry expertise
Neo Finance – Fintech; Regtech; Banking 2.0; InsurTech etc (4-5 yrs exp)
Healthcare – Payer; Provider; Manufacturer
Retail – Traditional & Modern; Offline/online
CPG – Traditional & Modern
Manufacturing – Capital, Auto, Process, Contract
Consumer/FMCG – Business Side
Airlines – Business & Operational
Hospitality – Business & Operational
Education & Learning – Digital Models
Customer Management & Growth
Sales & Distribution
Marketing Management
Supply Chain, Inventory & Procurement
Human Resources
Core & Branch Operations
Manufacturing Operations
After Market Operations
Digital Operations
Broad level knowledge in the following Data Management areas is desirable:
Deep understanding of industry/functional data structure / data models to design, develop, and delivery various Data based use cases. Designing and building database solutions (industry oriented models, schemas/views/tables / stored procedures / forms / queries / etc.)
Neo data solutions – broad understanding & knowledge on designing and building industry focused data solutions using newer technologies such as Snowflake, Databricks, Cloudera, Data ISV’s like Privacera, Alation etc
Deep understanding & knowledge on Big Data ecosystem implementation in various industries – common challenges, solutions, patterns, technologies & operational models
Good knowledge of various Data & Analytics technologies like DWH’s; Datalake Solutions; ETL solutions; Governance & Information Management; Compliance & Privacy solutions
Very strong PoV & knowledge of various Data Governance, Security, Audit, Compliance & Privacy regulations, policies & standards for atleast 2 of the above listed industries
Understanding of various industry domain & functional usecases driven by data & having a strong PoV around data foundation layer/ecosystem needed to power the same
Cloud native Data Ecosystem - deep understanding & knowledge on designing and building industry/functional data solutions using cloud PaaS & Cloud Native technologies
Broad understanding & experience of delivery in at least 3 of the below mentioned Data Management dimensions in an industry context:
Enterprise Data Strategy, vision & mission
Data Discovery & Search
Extraction, Transform, Load
Data Migration (legacy to modern; on-premises to cloud)
Persistence & Storage
Metadata management
Master Data Management
Data Quality Engineering
Data Access control & Security Model
Privacy, ILM & Lineage
Data Backup & Resiliency
Data Operations
Broad understanding & experience of delivery in at least 3 of the below mentioned Data Management dimensions in an industry context:
Enterprise Data Strategy, vision & mission
AI usecase discovery
GenAI usecase discovery
AI algorithms and methods
Technology stack for AI & MLOps
Productionzation of AI models
GenAI technology stack and LLMOps
Thought leader in the use of AI algorithms to solve business problems
Preferred Technical and Professional Experience:
Self-starter who can think outside of the box, and come up with a solution to resolve and mitigate complex problems
Experience in developing maturity models, TCO & ROI models, AS-IS : TO-BE blueprints, technology analysis, Roadmap design, Implementation plan in context of specific industry/functional segment
Ability to communicate with a variety of different audiences and strong presentation skills
Ability to lead and motivate technical communities
Ability to effectively recognize and adapt to change
Ability to quickly grasp customers' business challenges and drive positive change
Being You
Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
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Artificial Intelligence
Posted today
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Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.
Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database
Artificial Intelligence Intern
Posted 1 day ago
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Job Description
About the Role
We are looking for a passionate and curious AI/ML Intern to join our team. You will work closely with our engineering and data teams to support the development of advanced AI models and contribute to impactful projects in the EdTech space. This internship is a great opportunity to gain hands-on experience with machine learning, data analytics, and generative AI technologies in a real-world setting.
Responsibilities
- Support the design and development of AI and ML models aligned with organizational goals.
- Assist in utilizing open-source ML/AI libraries for building and experimenting with models.
- Work with data pipelines: cleaning, preprocessing, and validating data quality.
- Contribute to data analysis and visualization for insights into system performance.
- Help identify patterns in data distributions that affect real-world model accuracy.
- Stay updated on emerging AI/ML trends and contribute to improving existing frameworks.
- Collaborate with cross-functional teams on experiments and proof-of-concepts.
Requirements
- Pursuing a Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
- Strong foundation in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
- Knowledge of Machine Learning concepts (supervised/unsupervised learning, NLP basics).
- Exposure to FastAPI or other web frameworks is a plus.
- Interest in Generative AI (GPT, TTS, Text-to-Video, etc.) .
- Familiarity with cloud tools (AWS), Docker, or Kubernetes is an advantage but not mandatory.
- Eagerness to learn, experiment, and solve real-world challenges.
What You’ll Gain
- Hands-on experience in building and deploying AI models.
- Exposure to the EdTech industry and its applications of AI/ML.
- Mentorship from experienced engineers and data scientists.
- Opportunity to work on cutting-edge projects with practical business impact.
Artificial Intelligence Architect
Posted 1 day ago
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AI Architect: BOTS.AI (HR Anexi Vertical)
Location: Mumbai (Andheri West) | Full-time | On-site
Why BOTS.AI (and why now):
HR Anexi has been transforming organisations for 18+ years. With BOTS.AI , we are pioneering India’s first AI consulting vertical dedicated to embedding AI and agentic AI into traditional Indian organisations .
Big Tech builds models. Big 4 sell decks. We embed systems into workflows, scale adoption, and measure ROI.
Our engagements:
- 24-month transformation programs across India's largest FRBs and traditional organisations.
- AI L&D programs (PromptStart → Pro → Masters → OS) across corporates.
Now, we need an AI Architect to design and deploy the agentic operating systems that will power India Inc. for the next decade.
Why This Role Exists:
You’ll be the technical backbone of BOTS.AI consulting projects . Not only designing from scratch, but also deploying existing AI tools and agents into client workflows , ensuring adoption and measurable value.
Where the Principal wins trust in the boardroom, you’ll ensure systems work on the ground.
What You’ll Do:
Design & Blueprinting
- Map client workflows across HR, Finance, Sales, Manufacturing, Operations, more.
- Translate processes into agentic AI architectures : tool-use, retrieval (RAG), orchestration, guardrails, observability.
- Create reference architectures and reusable templates.
Deploy & Integrate
- Evaluate and integrate existing AI SaaS tools and agents (e.g., HR copilots, knowledge assistants, finance AI tools) into client systems.
- Ensure seamless connection to ERPs, CRMs, BI platforms.
- Custom-design when gaps exist, directing engineers or contractors to build.
Measure & Govern
- Set up evaluation frameworks : accuracy, cost/tx, latency, user adoption.
- Build dashboards and reports to track ROI, efficiency gains, and adoption curves.
- Ensure systems meet security, privacy, and compliance standards.
Collaborate & Scale
- Work hand-in-glove with the Principal to shape client solutions.
- Partner with HR Anexi consultants to embed AI in org transformation programs.
- Mentor delivery engineers; define coding, observability, and documentation standards.
Who You Are
- 6–10 years in enterprise architecture, AI systems design, or digital consulting.
- Have shipped at least 2 LLM/agent-based solutions in production, being used by enterprises or actual users.
- Skilled with LangChain, AutoGen, CrewAI, RAG pipelines, eval harnesses.
- Experienced in embedding off-the-shelf AI tools into business workflows .
- Confident in client-facing roles; can explain design trade-offs to non-technical executives.
- Comfortable working at startup pace, but with consulting polish.
- If you've done the above but don't have 6+years of experience, still apply, and we can have a conversation.
Why Join BOTS.AI (HR Anexi)
- Visionary mission : Be part of India’s first AI consulting vertical, under HR Anexi’s trusted transformation brand.
- Dream role : Architect the AI operating systems of India Inc.
- Impact now : We don’t do endless PoCs, we ship pilots in weeks, measure, and scale.
- IP leverage : Every system you design becomes reusable across dozens of clients.
- Be a builder : Work directly with the founder, shape the blueprint for AI consulting in India.
How to Apply
Subject: Application – AI Architect – BOTS.AI
Include:
- CV / LinkedIn
- 2–3 examples of AI/agentic systems you’ve designed or deployed (problem → solution → metrics).
- A 1-pager: Pick a business function (e.g., Finance or HR) and sketch how you’d deploy existing AI tools/agents in 6–8 weeks, and how you’d measure ROI.
Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
Position: Advanced AI Engineer
Location : Bangalore
experience : 5 + Years
Immediate joiner
About the Role
We are seeking an experienced Advanced AI Engineer to join Honeywell’s global technology team. In this role, you will design, develop, and deploy AI solutions that directly impact business outcomes. You will also provide technical leadership , mentor AI engineers, and drive the adoption of best practices in AI/ML across the organization.
This is an exciting opportunity to shape the future of AI within a company recognized for innovation and excellence.
Key Responsibilities
- Lead the design and development of complex AI solutions , ensuring scalability, efficiency, and robustness.
- Collaborate with cross-functional teams to integrate AI into existing products, platforms, and processes.
- Work closely with business leaders and product managers to align AI initiatives with strategic goals.
- Manage the end-to-end AI lifecycle – from project planning and resource allocation to execution and monitoring.
- Provide mentorship and guidance to AI engineers, fostering a culture of innovation and technical excellence.
Qualifications – Must Have
- Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics) .
- 5+ years of experience managing AI/ML-related projects.
- Strong expertise in Machine Learning / Deep Learning with practical deployment experience.
- Proficiency in Python and frameworks such as TensorFlow, PyTorch .
Artificial Intelligence Specialist
Posted 1 day ago
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Job Description:
DailyBrief is one of India’s highest-rated news apps, dedicated to delivering reliable and insightful news to its users. We are now looking for an AI Specialist to join our team and drive innovation in building AI-powered solutions that improve user experience and optimize workflows.
Key Responsibilities:
- Design, develop, and deploy AI/ML models to enhance content curation, summarization, and personalization on the DailyBrief platform.
- Work with NLP (Natural Language Processing) techniques for text classification, topic modeling, and semantic search.
- Implement AI-driven recommendation systems to improve content delivery and engagement.
- Collaborate with product, editorial, and engineering teams to translate business needs into AI solutions.
- Research and integrate Generative AI tools (LLMs, transformers, embeddings) for content automation and summarization.
- Optimize models for accuracy, scalability, and efficiency in a production environment.
- Stay updated on AI trends and recommend new tools, frameworks, and best practices.
Skills & Qualifications:
- Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.
- 2–5 years of hands-on experience in machine learning, deep learning, or NLP projects .
- Strong knowledge of Python, TensorFlow/PyTorch, Hugging Face, LangChain, or similar frameworks .
- Experience with LLMs (GPT, LLaMA, Claude, etc.) , fine-tuning, and RAG (Retrieval-Augmented Generation) .
- Familiarity with vector databases (Pinecone, Weaviate, FAISS) for semantic search.
- Exposure to data pipelines, APIs, and deployment on cloud platforms (AWS/GCP/Azure) .
- Understanding of MLOps and model monitoring .
- Prior experience with news/media tech or unstructured text data is a plus.
- Contributions to open-source AI projects are an added advantage.
- Strong analytical, problem-solving, and communication skills.
What We Offer:
- Opportunity to build and scale AI-first products in the news & media domain.
- A collaborative and fast-paced startup culture.
- Freedom to experiment with cutting-edge AI tools.
- Competitive compensation with growth opportunities.
Artificial Intelligence Engineer
Posted 3 days ago
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Hiring Alert!
CorroHealth is looking for AI Engineer for our product development team based out for Noida (NCR) Location
Candidates who are available for F2F rounds of interview at our Noida sector 142 office can only apply.
Only Immediate joiners preferred for this role!
Job Description
Exp Range: 2+Years
Location: Noida
Job Summary
We are seeking a talented AI Engineer with expertise in building and deploying AI/NLP solutions using platforms like Microsoft Azure OpenAI and GPT models. The ideal candidate will have a strong background in Python/.NET, prompt engineering, and web development, coupled with experience in leveraging GenAI libraries, cloud infrastructure, and modern frameworks like LangChain. If you have a passion for creating cutting-edge AI applications and solving complex problems, we want to hear from you.
Key Responsibilities
- Develop and implement AI/NLP solutions leveraging platforms like Microsoft Azure OpenAI and GPT models.
- Build and optimize AI/ML pipelines using Python and libraries such as PyTorch, Pandas, Pydantic, and scikit-learn.
- Create, deploy, and maintain robust software solutions, ensuring scalability and reliability.
- Extract data from various sources (text, structured data, databases) and preprocess it for AI applications.
- Design and develop web applications using Python, Ubuntu, MySQL/PostgreSQL, HTML, and JavaScript.
- Work with IDEs such as PyCharm and Visual Studio Code to write, debug, and optimize code.
- Utilize frameworks like LangChain for developing AI workflows and solutions.
- Collaborate with team members to report progress, address challenges, and proactively contribute to project goals.
- Maintain version control and workflow management using JIRA, GitHub, and cloud infrastructure.
Qualifications and Skills
Required Skills:
- AI Expertise: Experience with Microsoft Azure OpenAI and GPT models.
- Programming: Proficiency in Python and/Java or .NET or Reactjs/Nodejs for AI and web development.
- Prompt Engineering: Knowledge of programming languages like Python and JavaScript for designing effective prompts.
- Web Development: Strong experience with Python/Ubuntu/MySQL/PostgreSQL/HTML/JavaScript for building web-based solutions.
- Libraries/Frameworks: Familiarity with Python libraries (e.g., PyTorch, Pandas, scikit-learn, Pydantic) and frameworks like LangChain.
- Data Processing: Expertise in extracting, cleaning, and processing data from diverse sources.
- Tools: Proficient with IDEs such as PyCharm and Visual Studio Code .
- Version Control: Knowledge of JIRA, GitHub, and cloud infrastructure for seamless development and deployment.
- Soft Skills: Strong communication, teamwork, and proactive problem-solving skills.
Preferred Skills:
- Experience with GenAI libraries and frameworks for natural language processing.
- Familiarity with building scalable AI workflows using LangChain.
- Hands-on experience with cloud platforms and managing AI workloads in cloud environments.
Interested candidates are invited to share their updated resumes at with below details
Total Exp:
Current CTC:
Expected CTC:
Notice Period:
Reason for change:
At CorroHealth, we want to assure all job seekers that we do not require any payment or monetary arrangement as a condition for employment. CorroHealth does not authorize any third party, agency, company, or individual to request money or financial contributions in exchange for a job opportunity. If you receive any request for payment or suspect fraudulent activity related to job applications at Corrohealth, please do not respond. Instead, contact us immediately at health.com or report the incident to our Compliance Hotline via orroHealth.”
Artificial Intelligence Engineer
Posted 5 days ago
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Company Description
Twinamics is building the Autonomous Brain for Enterprises.
We transform messy, siloed data into real-time intelligence and autonomous actions—helping businesses grow revenue without growing headcount.
At the core of Twinamics is our proprietary DIPPCAA Engine (Data → Insight → Prediction → Prescription → Command → Action → Adaptation). It powers an end-to-end Data-to-Action Infrastructure that connects data, reasons over it, and executes business-critical decisions through AI Employees (AI-CXOs and their Agent Workforce).
If you’re excited to work at the frontier of agentic AI, orchestration frameworks, and enterprise-scale automation —this role is for you.
As an AI Engineer at Twinamics , you’ll:
- Design and implement agentic AI systems with stateful reasoning, memory, and orchestration.
- Develop Digital Twin AI Employees (e.g., Finance CXO, Sales Lead) using LLMs, SLMs, and custom orchestration logic.
- Integrate AI agents with enterprise systems (ERP, CRM, WhatsApp, Accounting APIs, Voice Platforms).
- Build plug-and-play AI templates for cross-industry use cases (hospitality, manufacturing, supply chain, logistics).
- Optimize for scalability: retries, fail-safes, state persistence, and performance tuning.
- Collaborate with product designers and developers to bring enterprise-ready AI infra to life.
Core AI & ML
- Strong background in Machine Learning and Deep Learning (esp. time-series & sequential modeling).
- Experience with LLMs, SLMs, or hybrid architectures for reasoning + prediction.
- Knowledge of probabilistic modeling (Bayesian methods, Monte Carlo, Markov Decision Processes).
- Experience in time-series forecasting (ARIMA, Prophet, RNN/LSTM/GRU, Transformer-based models).
- Familiarity with anomaly detection techniques to capture unexpected signals.
- Understanding of multi-signal fusion (internal + external data streams).
- Strong grasp of causal inference & correlation vs. causation for accurate event detection.
Prescriptive AI & Decisioning
- Ability to move from prediction → prescription (recommend optimal actions, not just forecasts).
- Knowledge of reinforcement learning, optimization algorithms, or decision theory .
- Familiarity with control systems for closed-loop feedback in enterprise workflows.
Data Layer & Infra
- Hands-on with data pipelines (ETL/ELT, Apache Kafka, Airflow, dbt, or similar).
- Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) for memory/state management.
- Strong SQL + NoSQL experience (Postgres, Mongo, etc.) for structured/unstructured data.
- Data architecture skills: schema design, feature engineering, real-time + batch pipelines .
Enterprise Integration
- Ability to connect models into ERP, CRM, Finance, and Supply Chain systems .
- Strong API design & integration skills (REST, GraphQL, gRPC).
Bonus Points
- Exposure to knowledge graphs or graph databases (Neo4j, TigerGraph) for event relationships.
- Familiarity with streaming data (IoT, sensor data, transaction logs) .
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Artificial Intelligence Engineer
Posted 5 days ago
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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.
Artificial Intelligence Engineer
Posted 7 days ago
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Job Description
About the Company
NeuIQ is a new-age technology services firm specializing in solving enterprise business transformation and experience challenges through cutting-edge, AI-powered data and technology solutions. At the core of our vision is building a scalable and profitable technology implementation business with data engineering as its foundation. Our expertise lies in implementing enterprise SaaS platforms such as Qualtrics, ServiceNow, Snowflake, and Databricks, enabling organizations to unlock actionable insights and maximize the value of their AI and technology investments. With innovation, integrity, and a future-ready mindset, NeuIQ is committed to empowering enterprises to stay relevant, impactful, and ahead in today’s dynamic landscape.
About the Role
Develop Agentic AI-based solutions tailored to client problem statements. Work on multi-agent orchestration, reasoning-enabled AI agents, and LLM-powered autonomous systems. Collaborate across teams and with clients—strong communication is essential.
Qualifications and Required Skills
- 1–3 years of hands-on experience in AI/ML projects, preferably with LLM or Agentic AI systems
- Strong understanding of foundational ML/NLP concepts and modern LLM workflows
- Demonstrated ability to independently build and deploy working AI solutions
Preferred Skills
- Experience with multi-agent systems
- Familiarity with advanced AI techniques
Equal Opportunity Statement
NeuIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.
Artificial Intelligence Engineer
Posted 8 days ago
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Job Description
Exp: 6years + Location: Pan India
About the Role
As an Azure Data Scientist/AI Engineer for Agent Development you will be at the forefront of our AI initiatives transforming complex business problems into sophisticated agent-based solutions. You will work closely with cross-functional teams to understand requirements, design agent architectures, implement and optimize agentic behaviors, and ensure seamless integration and deployment on Azure.
Responsibilities
- Agent System Design Architecture: Design, develop and implement end-to-end agent-based AI systems using frameworks such as Autogen, Langgraph, and CrewAI. This includes defining agent roles, communication protocols, and task orchestration.
- Azure Platform Expertise: Leverage a wide range of Azure services including Azure Machine Learning, Azure OpenAI Service, Azure Databricks, Azure Functions, and other relevant data and AI services for building, training, deploying, and managing agent solutions.
- Large Language Model (LLM) Integration: Integrate and fine-tune LLMs (e.g., GPT-x models) via Azure OpenAI within agentic workflows, focusing on prompt engineering, context management, and optimizing LLM interactions for specific tasks.
- Data Preparation & Feature Engineering: Work with diverse datasets on Azure, performing data cleaning, transformation, and feature engineering to prepare data for agent consumption and to enhance agent performance.
- Workflow Orchestration: Develop and manage complex stateful agent workflows using Langgraph for intricate decision-making processes, loops, and conditional logic.
- Multi-Agent Collaboration: Implement and optimize multi-agent collaboration strategies using Autogen to enable agents to converse, delegate tasks, and collectively solve problems.
- CrewAI Implementation: Utilize CrewAI to define and orchestrate collaborative agent crews with distinct roles, tools, and shared objectives for streamlined task execution.
- Tool Development: Develop custom tools and integrations for agents to interact with external APIs, databases, and other systems, extending their capabilities.
- Deployment (MLOps): Operationalize agent solutions on Azure including containerization (Docker, Kubernetes/AKS), setting up CI/CD pipelines, monitoring agent performance, and implementing robust MLOps practices for continuous improvement.
- Performance Optimization & Scalability: Identify and implement strategies to optimize the performance, efficiency, and scalability of agent systems on Azure.
- Research & Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and agentic AI frameworks, researching and evaluating new technologies for potential application.
- Collaboration & Communication: Work effectively with data engineers, software engineers, product managers, and business stakeholders to translate requirements into technical solutions and communicate complex concepts clearly.
- Responsible AI: Ensure the ethical development and deployment of AI agents, addressing bias, fairness, transparency, and security concerns.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. If PhD, will be good.
- Proven experience (1-2yrs) as a Data Scientist or AI Engineer with a strong focus on building and deploying machine learning or AI solutions.
- Deep expertise in Azure cloud services, specifically Azure Machine Learning, Azure OpenAI Service, Azure Databricks, Azure Functions, Azure Data Lake Storage, etc.
Required Skills
- Strong programming skills in Python, Python, PyTorch, TensorFlow, Scikit-learn.
- Hands-on experience with agent orchestration frameworks:
- Autogen: Experience in building multi-agent conversational systems and enabling dynamic collaboration.
- Langgraph: Proficiency in designing and implementing stateful graph-based agent workflows with complex logic.
- CrewAI: Experience in orchestrating role-playing autonomous AI agents for collaborative task execution.
- Solid understanding of Large Language Models (LLMs), prompt engineering, and RAG (Retrieval Augmented Generation) techniques.
- Experience with MLOps practices including CI/CD, model monitoring, and version control (Git).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills.
Preferred Skills
- Experience with additional programming languages or frameworks.
- Knowledge of industry-specific applications of AI.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.