Machine Learning (ML) Engineer positions are in demand, reflecting the increasing integration of 17,721 Ml Engineer jobs in India
Lead AI/ML Engineer- AI, Deep learning
Bangalore, Karnataka
UnitedHealth Group
Posted 3 days ago
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 Data Scientist to join our team based in Bangalore. As a Data Scientist, 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+ 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 regards 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
10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role
Hands-on experience in delivering production-grade AI/ML projects
Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
Solid understanding of mathematical and statistical concepts
Solid programming skills in Python, with experience in pandas, numpy, and SQL
Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
Proven excellent problem-solving and analytical thinking skills
Proven solid communication and collaboration skills to work effectively in a team environment
Preferred Qualifications:
Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
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.
#nic
We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, 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+ 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 regards 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
10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role
Hands-on experience in delivering production-grade AI/ML projects
Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
Solid understanding of mathematical and statistical concepts
Solid programming skills in Python, with experience in pandas, numpy, and SQL
Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
Proven excellent problem-solving and analytical thinking skills
Proven solid communication and collaboration skills to work effectively in a team environment
Preferred Qualifications:
Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
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.
#nic
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0
Senior AI/ML Engineer - NLP/Deep Learning
Gurgaon, Haryana
Confidential
Posted today
Job Viewed
Job Description
Required Skills :
- Strong experience in machine learning, deep learning, NLP, and AI model development.
- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models).
- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).
- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.
Skills Required
Aws, Azure, Gcp, Pyspark, Databricks, Hadoop
This advertiser has chosen not to accept applicants from your region.
1
Senior AI/ML Engineer - NLP / Deep Learning
Gurugram, Uttar Pradesh
Confidential
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior AI/ML Engineer with a specialization in NLP and Deep Learning. You will be responsible for designing, developing, and deploying end-to-end AI/ML models to solve complex business problems. This role requires extensive expertise in Python, key AI frameworks, and cloud-based AI solutions to ensure the scalability and performance of models in real-world applications.
Roles & Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems.
- Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, and deployment.
- Optimize model performance using hyperparameter tuning and various model evaluation techniques.
- Implement AI-driven solutions using frameworks like TensorFlow, PyTorch, Scikit-learn , and APIs from OpenAI or Hugging Face.
- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
- Deploy models in cloud environments like AWS, Azure, or GCP using platforms such as SageMaker, Vertex AI, or Azure ML.
- Collaborate with cross-functional teams to integrate AI models into production systems.
Skills Required:
- Strong experience in machine learning, deep learning, and NLP .
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn .
- Expertise in NLP techniques such as Word2Vec, BERT, transformers, and LLMs .
- Hands-on experience with computer vision using tools like CNNs, OpenCV , and custom models.
- Solid understanding of MLOps , including deployment with Docker and Kubernetes .
- Experience with cloud platforms (AWS, Azure, GCP ) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases , and big data processing tools like PySpark and Databricks .
- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
- Strong problem-solving, analytical, and communication skills.
- Experience with AI-powered chatbots, LLMs, and generative AI models is a plus.
QUALIFICATION:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
Skills Required
Nlp, Python, Tensorflow, Pytorch, Computer Vision, Docker, Kubernetes
This advertiser has chosen not to accept applicants from your region.
2
Senior AI/ML Engineer - NLP/Deep Learning
Bengaluru, Karnataka
Confidential
Posted today
Job Viewed
Job Description
Required Skills :
- Strong experience in machine learning, deep learning, NLP, and AI model development.
- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models).
- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).
- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.
Skills Required
Aws, Azure, Gcp, Pyspark, Databricks, Hadoop
This advertiser has chosen not to accept applicants from your region.
3
Senior AI/ML Engineer - NLP/Deep Learning
Chennai, Tamil Nadu
Confidential
Posted today
Job Viewed
Job Description
Key Responsibilities:
AI/ML Model Development:
- Design, develop, and deploy AI/ML models for real-world applications
- Work with NLP, deep learning, and traditional machine learning algorithms to address complex business problems
- Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, and deployment
- Optimize model performance using hyperparameter tuning and evaluation techniques
Technology Implementation:
- Utilize frameworks like TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and related libraries
- Work with both structured and unstructured data for tasks including data wrangling, transformation, and feature extraction
Deployment & Integration:
- Deploy models on cloud platforms such as AWS, Azure, or GCP using tools like SageMaker, Vertex AI, or Azure ML
- Integrate AI/ML models into production systems by collaborating with cross-functional teams
- Ensure scalability, efficiency, and performance of deployed AI/ML solutions
Innovation & Collaboration:
- Keep up-to-date with emerging trends in AI, LLMs, and generative AI technologies
- Collaborate with engineering, data science, and business teams to implement robust, innovative AI-driven solutions
Required Skills:
- Strong experience in machine learning, deep learning, NLP, and AI model development
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models
- Expertise in NLP techniques like Word2Vec, BERT, transformers, LLMs, and text classification
- Hands-on experience in computer vision (e.g., CNNs, OpenCV, YOLO, custom object detection models)
- Solid understanding of ML deployment and MLOps practices (Docker, Kubernetes, CI/CD pipelines)
- Experience with cloud platforms (AWS, Azure, GCP) for model deployment
- Proficient in SQL and NoSQL databases and big data tools such as PySpark, Databricks, Hadoop, and Kafka
- Familiar with API development using Django, Flask, or FastAPI for AI model integration
- Excellent analytical thinking, problem-solving abilities, and communication skills
Preferred Skills:
- Experience integrating OpenAI API and building AI-powered chatbots
- Exposure to LLMs like GPT, LLaMA, Falcon, etc. for real-world applications
- Hands-on experience with generative AI models
Skills Required
Python, Tensorflow, Pytorch, Nlp, Transformers
This advertiser has chosen not to accept applicants from your region.
4
Senior AI/ML Engineer - NLP / Deep Learning
Pune, Maharashtra
Confidential
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior AI/ML Engineer with a specialization in NLP and Deep Learning. You will be responsible for designing, developing, and deploying end-to-end AI/ML models to solve complex business problems. This role requires extensive expertise in Python, key AI frameworks, and cloud-based AI solutions to ensure the scalability and performance of models in real-world applications.
Roles & Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems.
- Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, and deployment.
- Optimize model performance using hyperparameter tuning and various model evaluation techniques.
- Implement AI-driven solutions using frameworks like TensorFlow, PyTorch, Scikit-learn , and APIs from OpenAI or Hugging Face.
- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
- Deploy models in cloud environments like AWS, Azure, or GCP using platforms such as SageMaker, Vertex AI, or Azure ML.
- Collaborate with cross-functional teams to integrate AI models into production systems.
Skills Required:
- Strong experience in machine learning, deep learning, and NLP .
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn .
- Expertise in NLP techniques such as Word2Vec, BERT, transformers, and LLMs .
- Hands-on experience with computer vision using tools like CNNs, OpenCV , and custom models.
- Solid understanding of MLOps , including deployment with Docker and Kubernetes .
- Experience with cloud platforms (AWS, Azure, GCP ) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases , and big data processing tools like PySpark and Databricks .
- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
- Strong problem-solving, analytical, and communication skills.
- Experience with AI-powered chatbots, LLMs, and generative AI models is a plus.
QUALIFICATION:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
Skills Required
Nlp, Python, Tensorflow, Pytorch, Computer Vision, Docker, Kubernetes
This advertiser has chosen not to accept applicants from your region.
5
Senior AI/ML Engineer - NLP/Deep Learning
Ahmedabad, Gujarat
Confidential
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems.
Roles & Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning , and traditional ML algorithms to solve complex business problems.
- Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, and deployment.
- Optimize model performance using hyperparameter tuning and model evaluation techniques.
- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face , and similar frameworks.
- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
- Deploy models in cloud environments (AWS, Azure, or GCP ) using SageMaker, Vertex AI, or Azure ML.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Ensure scalability, performance, and efficiency of AI/ML solutions.
- Stay updated with emerging AI trends and technologies to drive innovation.
Skills Required:
- Strong experience in machine learning, deep learning, NLP , and AI model development.
- Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn .
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus.
- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).
- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases , and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.).
- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
- Strong problem-solving, analytical, and communication skills.
- Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus.
- Hands-on experience in generative AI models is a plus.
QUALIFICATION:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Skills Required
Python, Tensorflow, Pytorch, Machine Learning, Computer Vision
This advertiser has chosen not to accept applicants from your region.
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6
Senior AI/ML Engineer - NLP/Deep Learning
Pune, Maharashtra
Confidential
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems.
Roles & Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning , and traditional ML algorithms to solve complex business problems.
- Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, and deployment.
- Optimize model performance using hyperparameter tuning and model evaluation techniques.
- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face , and similar frameworks.
- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
- Deploy models in cloud environments (AWS, Azure, or GCP ) using SageMaker, Vertex AI, or Azure ML.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Ensure scalability, performance, and efficiency of AI/ML solutions.
- Stay updated with emerging AI trends and technologies to drive innovation.
Skills Required:
- Strong experience in machine learning, deep learning, NLP , and AI model development.
- Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn .
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus.
- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).
- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases , and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.).
- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
- Strong problem-solving, analytical, and communication skills.
- Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus.
- Hands-on experience in generative AI models is a plus.
QUALIFICATION:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Skills Required
Python, Tensorflow, Pytorch, Machine Learning, Computer Vision
This advertiser has chosen not to accept applicants from your region.
7
Senior AI/ML Engineer - NLP/Deep Learning
Noida, Uttar Pradesh
Confidential
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior AI/ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI/ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems.
Roles & Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning , and traditional ML algorithms to solve complex business problems.
- Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, and deployment.
- Optimize model performance using hyperparameter tuning and model evaluation techniques.
- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face , and similar frameworks.
- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
- Deploy models in cloud environments (AWS, Azure, or GCP ) using SageMaker, Vertex AI, or Azure ML.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Ensure scalability, performance, and efficiency of AI/ML solutions.
- Stay updated with emerging AI trends and technologies to drive innovation.
Skills Required:
- Strong experience in machine learning, deep learning, NLP , and AI model development.
- Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn .
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus.
- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).
- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
- Strong knowledge of SQL, NoSQL databases , and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.).
- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
- Strong problem-solving, analytical, and communication skills.
- Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus.
- Hands-on experience in generative AI models is a plus.
QUALIFICATION:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Skills Required
Python, Tensorflow, Pytorch, Machine Learning, Computer Vision
This advertiser has chosen not to accept applicants from your region.
8
Senior AI / ML Engineer - NLP / Deep Learning
Kolkata, West Bengal
Confidential
Posted today
Job Viewed
Job Description
Key Responsibilities
- Design, develop, and deploy AI/ML models for real-world applications
- Apply NLP, deep learning, and traditional machine learning algorithms to solve complex business problems
- Build end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and deployment
- Optimize model performance through hyperparameter tuning and rigorous evaluation techniques
- Develop AI solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks
- Work with structured and unstructured data for wrangling, transformation, and feature extraction
- Deploy models on cloud platforms such as AWS, Azure, or GCP using SageMaker, Vertex AI, or Azure ML
- Collaborate with software engineers, data scientists, and product teams to integrate AI models into production
- Ensure model scalability, performance, and efficiency in real-time environments
- Stay informed on emerging trends in AI and apply innovative techniques to improve solutions
Required Qualifications
- Strong experience in machine learning, deep learning, NLP, and AI model development
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models
- In-depth knowledge of NLP techniques such as Word2Vec, BERT, Transformers, LLMs, and text classification
- Hands-on experience in computer vision using CNNs, OpenCV, YOLO, and custom object detection models
- Solid understanding of MLOps tools and practices including Docker, Kubernetes, and CI/CD for ML models
- Experience deploying models on cloud platforms (AWS, Azure, GCP)
- Familiarity with SQL and NoSQL databases as well as big data tools like PySpark, Databricks, Hadoop, and Kafka
- Knowledge of API development using Django, Flask, or FastAPI for serving AI models
- Strong analytical, problem-solving, and communication skills
Preferred Qualifications
- Experience building AI-powered chatbots and integrating OpenAI APIs
- Exposure to LLMs such as GPT, LLaMA, and Falcon for practical implementations
- Hands-on experience with generative AI models
Skills Required
Aws, Azure, Gcp, Azure ML, Sql, Nosql, Pyspark
This advertiser has chosen not to accept applicants from your region.
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