India presents significant opportunities in machine learning, a rapidly growing field. Data science jobs, encompassing roles like data scientists, and machine learning engineers, are in high demand. These positions require skills in statistical modeling, algorithm development, and deep learning techniques. 23,388 Machine Learning jobs in India
Full Stack AI Intern
Ballari, Jharkhand
Ambilio
Job Viewed
Job Description
Ambilio is an AI and analytics consulting company specializing in strategy, generative AI, simulation, and R&D acceleration. We work with enterprises to design, build, and deploy innovative AI-powered solutions that create measurable business impact. Our learning and talent-building initiative, Incubity, focuses on building real-world AI skills through projects, mentoring, and enterprise training programs.
Role Overview
We are looking for a final-year student or recent graduate to join us as an AI Intern. This role is designed for someone passionate about building cutting-edge AI applications, experimenting with agentic AI systems, and working hands-on with large language models. You will work closely with our team to design, develop, and deploy AI-powered solutions for our consulting and product initiatives.
Key Responsibilities
- Develop and prototype LLM-based applications aligned with Ambilio’s project needs.
- Design and implement Agentic AI systems for autonomous workflows.
- Build applications using vibe coding tools like Cursor, Lovable, Google Stitch .
- Integrate AI-based tools into application development pipelines.
- Work on application deployment, containerization (Docker), orchestration (Kubernetes), and version control (GitHub).
- Set up and manage CI/CD pipelines for AI applications.
- Assist in deploying solutions on AWS cloud environments.
- Collaborate with the team in brainstorming, research, and testing of new AI concepts.
Required Skills & Qualifications
- Final-year student or recent graduate in Computer Science, AI, Data Science, or related fields.
- Hands-on experience with LLM application development .
- Exposure to agentic AI architectures and workflows.
- Proficiency with vibe coding tools (Cursor, Lovable, Google Stitch).
- Ability to integrate AI-based tools into development processes.
- Knowledge of Docker, Kubernetes, GitHub, and CI/CD practices.
- Familiarity with AWS cloud services for AI/ML deployment.
- Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
What We Offer
- Paid internship with competitive stipend.
- Opportunity to work on real-world AI consulting and product development projects.
- Mentorship from industry practitioners in AI strategy, development, and deployment.
- A chance to build portfolio-worthy projects and gain enterprise-level experience.
- Potential pathway to full-time opportunities at Ambilio.
Duration: 2 Months
Mode: Remote
Stipend: Competitive (based on skills and experience)
This advertiser has chosen not to accept applicants from your region.
Job No Longer Available
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However, we have similar jobs available for you below.
Machine Learning/Deep Learning
Noida, Uttar Pradesh
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
• We are looking for a highly motivated self-starter Machine Learning engineer.
• Responsibilities Select appropriate datasets and data representation
• methods Data mining using state-of-the-art techniques
• Create and maintain optimal data pipeline architecture Assemble large, complex data sets
• That meet functional / non-functional business requirements
• Design and developing machine learning systems Implement appropriate ML algorithms to create and deploy AI models into production
• Responsibilities Select appropriate datasets and data representation
• methods Data mining using state-of-the-art techniques
• Create and maintain optimal data pipeline architecture Assemble large, complex data sets
• That meet functional / non-functional business requirements
• Design and developing machine learning systems Implement appropriate ML algorithms to create and deploy AI models into production
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning
Chennai, Tamil Nadu
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
• Strong Working Python, C++, C expertise -
• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus
• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning
Faridabad, Haryana
Acme Hr Consulting
Posted today
Job Viewed
Job Description
JOB CODE: TATMLL4FH
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Statistical modeling: 4 years (required)
- Flask: 4 years (required)
- Aws package: 4 years (required)
- Data mining: 4 years (required)
- Python: 4 years (required)
- Fast Api: 4 years (required)
- Daliku: 4 years (required)
- Spark: 4 years (required)
- Sage maker: 4 years (required)
- Kube flow: 4 years (required)
- TensorFlow: 4 years (required)
- Mx net: 4 years (required)
- PyTorch: 4 years (required)
- Data bricker: 4 years (required)
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Statistical modeling: 4 years (required)
- Flask: 4 years (required)
- Aws package: 4 years (required)
- Data mining: 4 years (required)
- Python: 4 years (required)
- Fast Api: 4 years (required)
- Daliku: 4 years (required)
- Spark: 4 years (required)
- Sage maker: 4 years (required)
- Kube flow: 4 years (required)
- TensorFlow: 4 years (required)
- Mx net: 4 years (required)
- PyTorch: 4 years (required)
- Data bricker: 4 years (required)
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning
Gurgaon, Haryana
Acme Hr Consulting
Posted today
Job Viewed
Job Description
JOB CODE: TATMLL4FH
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Statistical modeling: 4 years (required)
- Flask: 4 years (required)
- Aws package: 4 years (required)
- Data mining: 4 years (required)
- Python: 4 years (required)
- Fast Api: 4 years (required)
- Daliku: 4 years (required)
- Spark: 4 years (required)
- Sage maker: 4 years (required)
- Kube flow: 4 years (required)
- TensorFlow: 4 years (required)
- Mx net: 4 years (required)
- PyTorch: 4 years (required)
- Data bricker: 4 years (required)
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Statistical modeling: 4 years (required)
- Flask: 4 years (required)
- Aws package: 4 years (required)
- Data mining: 4 years (required)
- Python: 4 years (required)
- Fast Api: 4 years (required)
- Daliku: 4 years (required)
- Spark: 4 years (required)
- Sage maker: 4 years (required)
- Kube flow: 4 years (required)
- TensorFlow: 4 years (required)
- Mx net: 4 years (required)
- PyTorch: 4 years (required)
- Data bricker: 4 years (required)
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning
Noida, Uttar Pradesh
Acme Hr Consulting
Posted today
Job Viewed
Job Description
JOB CODE: TATMLL4FH
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Statistical modeling: 4 years (required)
- Flask: 4 years (required)
- Aws package: 4 years (required)
- Data mining: 4 years (required)
- Python: 4 years (required)
- Fast Api: 4 years (required)
- Daliku: 4 years (required)
- Spark: 4 years (required)
- Sage maker: 4 years (required)
- Kube flow: 4 years (required)
- TensorFlow: 4 years (required)
- Mx net: 4 years (required)
- PyTorch: 4 years (required)
- Data bricker: 4 years (required)
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Statistical modeling: 4 years (required)
- Flask: 4 years (required)
- Aws package: 4 years (required)
- Data mining: 4 years (required)
- Python: 4 years (required)
- Fast Api: 4 years (required)
- Daliku: 4 years (required)
- Spark: 4 years (required)
- Sage maker: 4 years (required)
- Kube flow: 4 years (required)
- TensorFlow: 4 years (required)
- Mx net: 4 years (required)
- PyTorch: 4 years (required)
- Data bricker: 4 years (required)
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning
Ghaziabad, Uttar Pradesh
Acme Hr Consulting
Posted today
Job Viewed
Job Description
JOB CODE: TATMLL4FH
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning
Delhi, Delhi
Acme Hr Consulting
Posted today
Job Viewed
Job Description
JOB CODE: TATMLL4FH
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Pytorch: 4 years (required)
- Flask: 4 years (required)
- AWS: 4 years (required)
- Python: 4 years (required)
- Statistical modeling: 4 years (required)
- Data bricker: 4 years (required)
- Data mining: 4 years (required)
- Machine learning: 4 years (required)
- Fast API: 4 years (required)
- Spark: 4 years (required)
- Mx net: 4 years (required)
ou will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.
**Salary**: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Work from home
Schedule:
- Fixed shift
**Experience**:
- Pytorch: 4 years (required)
- Flask: 4 years (required)
- AWS: 4 years (required)
- Python: 4 years (required)
- Statistical modeling: 4 years (required)
- Data bricker: 4 years (required)
- Data mining: 4 years (required)
- Machine learning: 4 years (required)
- Fast API: 4 years (required)
- Spark: 4 years (required)
- Mx net: 4 years (required)
This advertiser has chosen not to accept applicants from your region.
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6
Machine Learning
Chennai, Tamil Nadu
Bultaminds Venture
Posted today
Job Viewed
Job Description
Job Title
Machine Learning
Work Experience
4years -5years
**Skills**:
data science, deep learning, machine learning and data mining concepts, including neural networks, ensembles, clustering, handling missing data,Python
Location
Chennai - Tamil Nadu, India
**- **Mandatory Skills**
- Demonstrable knowledge of data science, deep learning, machine learning and data mining concepts, including neural networks, ensembles, clustering, handling missing data etc
- Fluency with Python packages for data manipulation and processing such as scikit-learn, anaconda, pandas and numpy and a tensor library such as Tensorflow, Keras or PyTorch
- Maths and stats competence (e.g. regression, probability and distributions, statistical tests and proper usage, linear algebra and calculus)
- Excellent communication and presentation skills
- Analytical mind and problem-solving aptitude
- Degree in a relevant field
- Natural Language Processing
- Recommender Systems
- Optimisation, including linear programming, operations research and non-mathematical methods such as genetic algorithms, global search and meta-heuristics
- Other Python packages e.g. Scrapy, Spacy, deep, Flask
- Experience of cloud computing and containerisation
- Exposure to API and microservices architectures
- Agile software development
- Experience of other BI and data analytic tools
- Knowledge of other programming language(s)
- Excellent Communication and Analytical Skills
- Expert in Individual contribution role
Machine Learning
Work Experience
4years -5years
**Skills**:
data science, deep learning, machine learning and data mining concepts, including neural networks, ensembles, clustering, handling missing data,Python
Location
Chennai - Tamil Nadu, India
**- **Mandatory Skills**
- Demonstrable knowledge of data science, deep learning, machine learning and data mining concepts, including neural networks, ensembles, clustering, handling missing data etc
- Fluency with Python packages for data manipulation and processing such as scikit-learn, anaconda, pandas and numpy and a tensor library such as Tensorflow, Keras or PyTorch
- Maths and stats competence (e.g. regression, probability and distributions, statistical tests and proper usage, linear algebra and calculus)
- Excellent communication and presentation skills
- Analytical mind and problem-solving aptitude
- Degree in a relevant field
- Natural Language Processing
- Recommender Systems
- Optimisation, including linear programming, operations research and non-mathematical methods such as genetic algorithms, global search and meta-heuristics
- Other Python packages e.g. Scrapy, Spacy, deep, Flask
- Experience of cloud computing and containerisation
- Exposure to API and microservices architectures
- Agile software development
- Experience of other BI and data analytic tools
- Knowledge of other programming language(s)
- Excellent Communication and Analytical Skills
- Expert in Individual contribution role
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning/ Deep Learning Intern
Noida, Uttar Pradesh
UniConverge Technologies Pvt. Ltd.
Posted today
Job Viewed
Job Description
**Job Summary**
Working on Machine Learning and Deep learning Projects
Customer Interaction to understand their requirements
Give training on Data Science, Machine Learning and AI
**Responsibilities and Duties**
- Decide course syllabus, contents, and presentations
- Counselling to students
**Required Experience, Skills and Qualifications**
- Good knowledge about Mathematical models, ML, DS, DL concepts
- Hands on practice on ML Algorithms
- Good knowledge about python
**Job Type**: Internship
Contract length: 2 months
Pay: ₹6,000.00 - ₹8,000.00 per month
Schedule:
- Day shift
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
Working on Machine Learning and Deep learning Projects
Customer Interaction to understand their requirements
Give training on Data Science, Machine Learning and AI
**Responsibilities and Duties**
- Decide course syllabus, contents, and presentations
- Counselling to students
**Required Experience, Skills and Qualifications**
- Good knowledge about Mathematical models, ML, DS, DL concepts
- Hands on practice on ML Algorithms
- Good knowledge about python
**Job Type**: Internship
Contract length: 2 months
Pay: ₹6,000.00 - ₹8,000.00 per month
Schedule:
- Day shift
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer
Bengaluru, Karnataka
Autodesk
Posted today
Job Viewed
Job Description
**Job Requisition ID #**
25WD89448
**Position Overview**
As a Machine Learning Engineer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. ML Engineers work to deliver ML-driven technical solutions to customer needs in our platform.
Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.
**Responsibilities**
+ Design and implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platforms
+ Perform statistical and data analysis and exploration to generate datasets for model training and development
+ Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice
**Minimum Qualifications**
+ MTech/MMath/MS or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics or related fields
+ 0-3 years of applicable work experience in ML
+ Proficiency with the Python Machine Learning stack, e.g. Pandas, etc for statistical analysis
+ Proficiency with SQL for data analysis and wrangling
+ Knowledge of experimental design and analysis of results
+ Demonstrate expertise with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)
**Preferred Qualifications**
+ Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents
+ Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications
+ Experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena
+ Advanced software engineering skills including data structures and algorithms
+ Experience with data pipelines and model serving in AWS
+ Experience with MLOps, especially on AWS, at scale
+ Experience with long-text search with ElasticSearch, OpenSearch, Lucene, Solr etc
#LI-RV1
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
25WD89448
**Position Overview**
As a Machine Learning Engineer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. ML Engineers work to deliver ML-driven technical solutions to customer needs in our platform.
Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.
**Responsibilities**
+ Design and implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platforms
+ Perform statistical and data analysis and exploration to generate datasets for model training and development
+ Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice
**Minimum Qualifications**
+ MTech/MMath/MS or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics or related fields
+ 0-3 years of applicable work experience in ML
+ Proficiency with the Python Machine Learning stack, e.g. Pandas, etc for statistical analysis
+ Proficiency with SQL for data analysis and wrangling
+ Knowledge of experimental design and analysis of results
+ Demonstrate expertise with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)
**Preferred Qualifications**
+ Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents
+ Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications
+ Experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena
+ Advanced software engineering skills including data structures and algorithms
+ Experience with data pipelines and model serving in AWS
+ Experience with MLOps, especially on AWS, at scale
+ Experience with long-text search with ElasticSearch, OpenSearch, Lucene, Solr etc
#LI-RV1
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
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