30,430 AI Engineer jobs in India
Analyst, Algorithm Development
Posted 1 day ago
Job Viewed
Job Description
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
Enabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you'll be joining the most sophisticated and successful process-control company in the semiconductor industry--working across functions to solve the most complex technical problems in the digital age.
Job Description/Preferred Qualifications
Key Responsibilities
- Develop algo focusing on optical modeling and computational geometry-based image processing algos and models
- Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platform's capabilities.
- Understanding on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations
Required Qualifications
- Education: Master's degree in Computer Science or a related field, or Bachelor's degree in Computer Science (or related) with at least 3 years of hands-on image processing algos
- Experience: Minimum 3+ years of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.
- Programming Skills: Deep understanding of operating systems, computer networks, and high performance applications. Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Proficiency in Python (especially with libraries like trimesh, numpy, scipy, pandas). Experience with C++ or Rust is a plus for performance-critical geometry tasks. Strong background in modern and advanced C++ concepts. Strong Scripting Skills in Bash, Python, or similar.Good communication with the ability to write clean, efficient, and well-documented code.
- Team Collaboration: Strong communication skills and ability to work effectively in a cross-functional team setting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.
- Adaptability: A willingness to learn new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment where priorities may shift as the project grows
Preferred Qualifications (Nice-to-Haves)
- HPC/Simulation Background: Experience working on projects involving scientific computing, simulations, or HPC applications. Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platform's context
- DevOps & CI/CD: Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions to automate build and deployment processes
Containerization & Cloud:
Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus. Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments
Minimum Qualifications
Master's Level Degree and 3+ years related work experience; Bachelor's Level Degree and 5
+ years
of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Algorithm Development Engineer
Posted 1 day ago
Job Viewed
Job Description
Experience
Typical experience range: 3 - 8 years (see Minimum Qualifications below for degree-specific requirements). Candidates with a PhD from a Tier 1 institution and less industry experience may also be considered.
- Algorithm development: minimum ~3 years
- Computer vision: minimum ~3 years
- Image processing: minimum ~3 years
- C++ development: minimum ~3 years
- Experience in a product company (current or past) is mandatory
- No unexplained employment gaps
Job Overview
The successful candidate will join a team of algorithm and software engineers to design and deliver deep learning, machine learning, image processing, and related algorithms for wafer inspection and metrology products. The role requires creativity in idea generation, strong analytical skills, and the ability to implement robust ML workflows for production.
Strong written and verbal communication skills are required. Domestic or international travel (up to 20%) may be required to support customer betas, demos, or training.
Key Responsibilities
- Design and develop DL/ML, image processing, and computer vision algorithms for wafer inspection and metrology.
- Evaluate and improve training datasets, model architectures, and ML/DL workflows to boost performance and robustness.
- Compare alternative models/approaches and select the best solutions for production requirements.
- Develop methods to improve signal-to-noise ratio and extract information from noisy or low-quality images.
- Implement, test, and optimize algorithms for production: write clean C++/Python code and use source control.
- Collaborate with product engineering to define performance specifications and ensure deliverables meet requirements.
- Provide technical support during demos and beta testing; engage with customers and cross-functional teams.
- Work with local and global teams across all product lifecycle phases; travel up to 20% as needed.
Preferred Qualifications
- Strong background in image processing, computer vision, or pattern recognition.
- Excellent mathematical and analytical skills.
- Proficiency in C/C++, Python, Linux shell scripting, and object-oriented programming.
- Experience with source code control systems (e.g., Git).
- Good communication skills and ability to manage multiple priorities.
Minimum Qualifications
Candidates should meet one of the following degree and experience combinations:
- Doctorate (PhD) - academic degree with 0 years related work experience (PhD candidates from Tier 1 institutions with limited industry experience may be considered).
- Master's degree - plus at least 3 years related work experience.
- Bachelor's degree - plus at least 5 years related work experience.
Skills: image processing,algorithm development,c,c++,algorithms,processing
Algorithm Development Engineer
Posted 1 day ago
Job Viewed
Job Description
Location: IN - Hyderabad Telangana
Goodyear Talent Acquisition Representative: Arpan Hazra
Sponsorship Available: No
Relocation Assistance Available: Yes
Job Description
Roles and Responsibilities:
- Develop signal processing pipelines for data collected from tire-mounted sensors and vehicle sensor signal data.
- Design and implement algorithms to estimate tire and road surface conditions using physics-based models and data-driven approaches.
- Build and validate physics based and machine learned models using lab and vehicle test data.
- Collaborate with tire modelers and vehicle dynamics teams to ensure consistency between physical behavior and algorithm outputs.
- Translate algorithms into real-time embedded code for on-tire or gateway execution.
- Support IP generation and contribute to technical publications or external collaborations.
- Engage in algorithm benchmarking and performance validation under diverse road, load, and environmental conditions.
Basic Qualifications
- Bachelors or MS in Mechanical Engineering, Electrical Engineering, Controls, or a related field with 5+ years of experience.
- Strong foundation in digital signal processing and sensor fusion techniques
- Proficiency in Python, MATLAB, or C/C++ for algorithm development and prototyping
- Experience with machine learning and physics-based modeling
- Familiarity with vehicle dynamics, tire mechanics, and sensor technologies Ability to work with vehicle CAN/CAN-FD, IMU, GPS, and tire sensor data
- Experience with embedded system constraints and real-time execution
- Strong analytical skills and attention to numerical stability and accuracy
- Experience in validating models using lab and vehicle test data
- Understanding of automotive software development processes and safety standards (e.g., ISO 26262, ASPICE)
- Excellent communication and collaboration skills for cross-functional teamwork
Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law.
Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 53 facilities in 20 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to
AI Engineer – Data science
Posted 1 day ago
Job Viewed
Job Description
Date Opened
08/29/2025
Job Type
Full time
Industry
Technology
State/Province
Karnataka/West Bengal
Zip/Postal Code
/
City
Kolkata/Bangalore
Country
India
About UsAt Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises.
Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises.
Experience Required2-3 years
Job DescriptionAbout the Role
We are looking for a highly motivated AI Engineer with strong foundations in Data Science and hands-on experience in Generative AI and Agentic AI systems. This role is ideal for someone who enjoys both building intelligent models and engineering robust, scalable solutions for production. You will be instrumental in building next-generation AI applications leveraging LLMs, multi-agent workflows, and orchestration frameworks to automate complex tasks across domains like document understanding, workflow intelligence, and customer support.
Key Responsibilities
- Design and build GenAI-powered applications using LLMs (e.g., GPT, Claude, LLaMA, Mistral) for use cases like summarization, Q&A, document parsing, and chatbots.
- Build and orchestrate agentic workflows using frameworks like LangChain, LangGraph, Semantic Kernel, autogen etc.
- Implement retrieval-augmented generation (RAG) pipelines using vector stores and embedding models.
- Translate business problems into AI workflows involving multi-agent planning, decision-making, and task execution.
- Collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
- Deploy and maintain production-grade AI solutions using MLOps practices, including model monitoring, versioning, and CI/CD pipelines.
- Develop scalable, modular APIs and microservices around AI capabilities.
- Collaborate closely with data scientists, ML engineers, and product teams to iterate and refine models.
Must-Have Skills & Experience
- 2 + years of experience in Data Science, Applied AI, or AI Engineering roles.
- Hands-on experience working with LLMs and GenAI models via APIs or fine-tuning (OpenAI, Azure OpenAI, Hugging Face, etc.).
- Experience building and deploying agent-based AI systems using tools like LangGraph, LangChain Agents, or Semantic Kernel Planners.
- Strong proficiency in Python and experience with common AI/ML frameworks (PyTorch, transformers, etc.).
- 2+ years of experience with AWS, GCP or Microsoft Azure,
- Experience building microservices with Azure Functions and/or AWS Lambda functions
- 1+ years experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
- Experience in AI/ML technologies and software engineering,
- At least 2+ years of hands-on experience with Python and 1+ years of experience building and maintaining scalable API solution
Nice to have Skills
- Familiarity with multi-agent systems, workflow planners, or autonomous agents.
- Exposure to LangGraph node/edge orchestration, OpenAI function calling, or tools/plugins.
- Experience with structured information extraction from unstructured documents (e.g., invoices, forms).
- Understanding of AI safety, guardrails, or trustworthy AI principles.
Analyst, Algorithm Development(CUDA)
Posted 1 day ago
Job Viewed
Job Description
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
Enabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you'll be joining the most sophisticated and successful process-control company in the semiconductor industry-working across functions to solve the most complex technical problems in the digital age.
Job Description/Preferred Qualifications
Key Responsibilities
Develop algo focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models
Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platform's capabilities.
Required Qualifications
Education: Master's degree in Computer Science or a related field, or Bachelor's degree in Computer Science (or related) with at least 3 years of hands-on web application development experience
Experience: Minimum 3+ years of professional algo development experience focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models. Proven track record of delivering software projects from design to deployment.
Programming Skills: Deep understanding of operating systems, computer networks, and high performance applications. Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures. Strong background in modern and advanced C++ concepts. Strong Scripting Skills in Bash, Python, or similar.Good communication with the ability to write clean, efficient, and well-documented code.
Team Collaboration: Strong communication skills and ability to work effectively in a cross-functional team setting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.
Adaptability: A willingness to learn new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment where priorities may shift as the project grows
Preferred Qualifications (Nice-to-Haves)
HPC/Simulation Background: Experience working on projects involving scientific computing, simulations, or HPC applications. Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platform's context
DevOps & CI/CD: Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps , Jenkins, or GitHub Actions to automate build and deployment processes
.
- Containerization & Cloud: Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus. Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Analyst, Algorithm Development Engineering
Posted today
Job Viewed
Job Description
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.
Job Description/Preferred Qualifications
You will be part of a
Artificial Intelligence and High Performance Computing group
that develops algorithms and software solutions that enhance the performance of our inspection tools.
Your responsibilities will include:
- Data/problem analysis
- Research the solution space
- Develop concepts
- Prototype and validate concepts
- Specify software requirements
Software/algorithm development (productization/programming)
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Analyst, Algorithm Development Engineering
Posted today
Job Viewed
Job Description
Description
/Preferred QualificationsYou will be part of a Artificial Intelligence and High Performance Computing group that develops algorithms and software solutions that enhance the performance of our inspection tools.
Your responsibilities will include:
Software/algorithm development (productization/programming)
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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Analyst, Algorithm Development(CUDA)
Posted today
Job Viewed
Job Description
Description
/Preferred QualificationsKey Responsibilities
Required Qualifications
Preferred Qualifications (Nice-to-Haves)
.
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Data Science and AI Engineer
Posted 1 day ago
Job Viewed
Job Description
Company:
Adiuvo Diagnostics Pvt. Ltd.
Job Title:
Data Science and AI Engineer
About Us:
Adiuvo Diagnostics is a deep-tech medical startup developing next-generation diagnostic solutions. Our interdisciplinary team combines expertise in optics, electronics, microbiology, and artificial intelligence to create innovative point-of-care medical technologies.
Role Summary:
We are seeking a talented and collaborative engineer to join our software and ML development team. This role will focus on designing and integrating machine learning and deep learning models into our diagnostic platforms, including mobile and cloud-based solutions.
Key Responsibilities:
- Develop and deploy machine learning models for medical imaging and data analysis
- Work on Android application development and integration
- Implement backend infrastructure on Google Cloud Platform and Firebase
- Handle complex and large-scale datasets for training and validation
- Perform feature extraction, optimization, and time series analysis
- Collaborate with interdisciplinary teams to integrate ML algorithms into real-world products
Required Skills & Experience:
- Proficiency in
Java
,
object-oriented programming
, and
Android development - Experience with
Google Cloud Platform
,
Firebase
, and cloud-based architecture - Strong background in
Machine Learning
and
Deep Learning
techniques - Knowledge of
Bayesian statistics
,
multivariate analysis
, and
time series analysis - Experience in handling large datasets and optimizing models
- Proficient in
Python
and familiar with key ML libraries (e.g.,
TensorFlow
,
scikit-learn
,
Spark
,
R
) - Strong communication skills and ability to work in cross-functional teams
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Hands-on experience with relational databases and SQL
Nice to Have:
- Prior experience in healthcare or biomedical applications
- Familiarity with medical imaging datasets or clinical data workflows
If you're passionate about using technology to make real-world impact in healthcare, we'd love to hear from you
Advisor Data Science AI Engineer
Posted 1 day ago
Job Viewed
Job Description
Summary
Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Role Description
- Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
- Experienced in multiple LLM fine tuning techniques.
- Experienced in building GEN AI solutions using RAG architecture.
- Skilled in both Lang Chain and Lang Graph.
- Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
- Experienced in multiple Vector Databases as well as Graph Database
- Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
- End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
- Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
- System Integration – Skilled in API development and integrations.
Implement and optimize AI models within Gain well's existing technology stack, collaborating with software engineers to ensure seamless integration. - Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
- Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
- AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
- Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
- Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
- Front End Development – Streamlit is a must. Good to have React, Angular or
- Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.
What We're Looking For
- Bachelor or Master's or higher in Computer Science, AI, Data Science, Engineering or a related field.
- 7+ to around 10-11 years years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
- Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
- Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
- Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
- Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
- Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
- Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.
- Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders.
What You Should Expect in This Role
- Fully Remote Opportunity – Work from anywhere in the India
- Minimal Travel Required – Occasional travel opportunities (0-10%).
- Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.