342 Tensorflow jobs in Hyderabad
AI/ML Engineer - Python, Scikit Learn, TensorFlow or PyTorch
Posted 7 days ago
Job Viewed
Job Description
We are seeking a highly skilled and experienced AI/ML Engineer to join our team. As a AI/ML Engineer, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2 to 4 years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.
**Primary Responsibilities:**
+ Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL
+ Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models
+ Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data
+ Build, tune, and evaluate machine learning models for predictive and prescriptive analytics
+ Conduct drift analysis to monitor model performance and ensure accuracy over time
+ Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
+ Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
+ Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments
+ Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
+ Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
+ 2+ years of experience in Data Science, AI/ML, or a similar role
+ Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
+ Hands-on experience in delivering production-grade AI/ML projects
+ Solid programming skills in Python, with experience in pandas, numpy, and SQL
+ Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
+ Solid understanding of mathematical and statistical concepts
+ Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) is a plus.
+ Proven excellent problem-solving and analytical thinking skills
+ Solid communication and collaboration skills to work effectively in a team environment
**Preferred Qualification:**
+ Familiarity with the US Healthcare domain
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
AI/ML Engineer - Python, Scikit Learn, TensorFlow or PyTorch
Posted today
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking a highly skilled and experienced AI/ML Engineer to join our team. As a AI/ML Engineer, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2 to 4 years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.
Primary Responsibilities:
Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders
Required Qualifications:
Preferred Qualification:
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Artificial Intelligence Engineer
Posted 2 days ago
Job Viewed
Job Description
About Trianz
Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive “IP Led Transformations” vision, strategy, and business model over the past 3 years. Some of the company’s IP was recently acquired by AWS and its overall business model has taken off sharply in 2024.
Trianz is led by Sri Manchala, a former Special Forces officer from the Indian Army and author of Crossing the Digital Faultline , and a team of veterans from well-known firms such as McKinsey, Deloitte, HCL, KPMG, Wipro, Microsoft, Tata, AWS, GE, etc.
Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking ‘time to transform’ due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed adoption of the Cloud, Data, Analytics & Insights AI.
Specifically, Trianz platforms are changing the way companies approach transformations in various disciplines:
- Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP; and manage them efficiently from a single pane of glass. Visit for more
- Avrio ‘Data to AI’ Platform: Built on the concept of ‘federated or distributed data’, Avrio revolutionizes how users access data anywhere in their company’s ecosystems; productizes data and makes it available in a Netflix like user experience while delivering BI and AI powered insights. Visit for more
- Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a ‘future of work’ digital workplace platform called Pulse. Visit for more
Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success and recognition.
Some of Trianz built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms
Most recently, Trianz and AWS have signed an SCA (Strategic Collaboration Agreement) to work on joint solutions for the cloud; AWS will buy Concierto licences in bulk for AWS partners to use for migrations, and recommend Concierto to their MSPs. Further, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more here: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com)
Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com ). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization.
About the Role:
We are seeking a dynamic and forward-thinking Senior GenAI & Agentic AI Specialist to lead the development, deployment, and optimization of intelligent systems that leverage Generative AI and Agentic AI architectures. You will be instrumental in building AI agents capable of autonomous decision-making, task decomposition, and multi-modal interactions across various enterprise or consumer-facing applications.
Key Responsibilities:
- Design & Development:
- Architect, prototype, and deploy agentic AI systems capable of reasoning, planning, memory, and self-refinement.
- Fine-tune and deploy LLMs (e.g., GPT, Claude, LLaMA, Mistral) for specific tasks like text, image, or code generation.
- Integrate multi-modal models (e.g., vision-language, speech-text) for richer agent interactions.
- Autonomy & Task Execution:
- Build AI agents that can independently plan, execute, and monitor workflows across tools and platforms (e.g., APIs, browsers, CLIs).
- Develop agent memory, reflection, and context-awareness mechanisms.
- Tooling & Frameworks:
- Work with and contribute to agent frameworks like LangChain, AutoGPT, CrewAI, MetaGPT, OpenAgents , or custom-built systems.
- Optimize model performance, latency, and cost using techniques like LoRA, RAG, distillation, and quantization .
- Collaboration & Leadership:
- Partner with product managers, designers, and engineers to co-develop AI-first features and applications.
- Mentor junior AI engineers and help guide technical direction.
- Ethics & Safety:
- Implement alignment, safety, and guardrail mechanisms to ensure responsible agentic behavior.
- Stay updated with regulatory and ethical considerations in AI deployment.
Requirements:
Must-Have Skills:
- Strong foundation in machine learning, deep learning, NLP , and modern LLM architectures.
- Hands-on experience with transformers , RAG pipelines , prompt engineering , and chain-of-thought reasoning .
- Demonstrated ability to build or integrate agent frameworks for automation and intelligent task handling.
- Proficiency in Python , PyTorch , Hugging Face Transformers , and agent libraries like LangChain or CrewAI.
- Deep understanding of vector databases , retrieval systems , and context enrichment strategies.
Preferred Qualifications:
- Experience in multi-agent systems , reinforcement learning , or hierarchical planning .
- Familiarity with orchestration tools (e.g., Prefect, Airflow, Ray) for large-scale agent deployment.
- Knowledge of observability and agent monitoring tools.
- Contributions to open-source GenAI or agentic AI projects.
Artificial Intelligence Engineer
Posted 4 days ago
Job Viewed
Job Description
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.
Artificial Intelligence Engineer
Posted 4 days ago
Job Viewed
Job Description
| 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.
Artificial Intelligence Engineer
Posted 13 days ago
Job Viewed
Job Description
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 Specialist
Posted 16 days ago
Job Viewed
Job Description
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.
Be The First To Know
About the latest Tensorflow Jobs in Hyderabad !
Artificial Intelligence Specialist
Posted 17 days ago
Job Viewed
Job Description
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
Artificial Intelligence Specialist
Posted 2 days ago
Job Viewed
Job Description
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.
Artificial Intelligence Specialist
Posted 3 days ago
Job Viewed
Job Description
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