5,868 AI Driven Robotics jobs in India

• 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

Responsibilities
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, Java and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills

Schedule:

- Day shift

**Job Type**: Part-time
Part-time hours: 20 per week

Pay: ₹12,000.00 - ₹16,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- South ext part 1, Delhi - 110049, Delhi: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- total work: 1 year (preferred)

**Speak with the employer**
+91

Responsibilities
- Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data.
- Suggest, collect and synthesize requirements and create effective features.

Minimum Qualifications
- Minimum of 7+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
- Extensive experience in handling Time-series data
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Experience in working on anomaly detection
- Experience in handling structured and unstructured data.
- Strong hands-on experience with statistical packages and ML libraries (e.g. Python scikit learn, Spark MLlib, etc.)
- Experience in developing and debugging in one or more of the languages Python

Preferred Qualifications
- Experience working with relational and NoSQL/Graph databases
- Unsupervised & Deep Learning Experience
- Ability and willingness to multi-task and learn new technologies quickly

**Salary**: ₹300,000.00 - ₹600,000.00 per year

Schedule:

- Day shift

**Experience**:

- Python: 3 years (required)
- Machine learning: 3 years (required)

Ability to Commute:

- Indore, Madhya Pradesh (required)

Ability to Relocate:

- Indore, Madhya Pradesh: Relocate before starting work (required)

**Speak with the employer**
+91

Description
Key Responsibilities
- Design, develop, and optimize machine learning models and algorithms.
- Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow.
- Analyze large, complex datasets to extract insights and identify patterns.
- Develop scalable machine learning pipelines for training, validation, and deployment.
- Collaborate with cross-functional teams to integrate ML models into production systems.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies.
- Document processes and model performance to ensure reproducibility and compliance.

Format into sections and lists to improve readability
Avoid targeting specific demographics e.g. gender, nationality and age

**Requirements**:
**Requirements**:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in Machine learning, Deep learning, or AI tool development.
- Proficiency in Python and experience with frameworks such as PyTorch and TensorFlow.
- Solid understanding of statistical modeling, probability, and optimization techniques.
- Experience with data preprocessing, feature engineering, and handling large datasets.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

**Job Title:** Machine Learning Engineer
**Location:** Hybrid
**Job Type:** Full-time
**About Us:**
Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We're looking for a talented and passionate **MLE** to join our dynamic team and help us continue to push the boundaries of AI.
· **Model Deployment & MLOps:**
+ Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments.
+ Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference.
+ Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP).
· **Automation & Scripting:**
+ Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools.
+ Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies.
· **Cloud Platforms & Infrastructure:**
+ Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems.
+ Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively.
· **Data Pipelines & Integration:**
+ Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering.
+ Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models.
· **Monitoring, Logging & Troubleshooting:**
+ Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health.
+ Diagnose and resolve issues across the machine learning pipeline and deployed models.
· **Collaboration & Communication:**
+ Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards.
+ Effectively communicate complex ML concepts and technical details to non-technical stakeholders.
· **GenAI & AI Agents Expertise:**
+ Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments.
+ Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles.
· **Security & Compliance:**
+ Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations.
+ Address vulnerabilities, ensuring safe and secure deployment of models in production environments.
· **Optimization & Cost Management:**
+ Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs.
+ Regularly review and improve the efficiency of machine learning workflows.
· **Testing & Validation:**
+ Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models.
+ Use automated testing frameworks to continuously validate model performance.
**Required Skills & Qualifications:**
+ **Education** : Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
+ **Experience** :
+ Proven experience (3+ years) in machine learning engineering, MLOps, or related fields.
+ Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines.
+ Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation).
+ Strong coding experience in Python, Bash, or other scripting languages.
+ Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale.
+ Experience working with databases (SQL, NoSQL) and building data pipelines.
+ **DevOps & CI/CD** :
+ Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment.
+ **AI Agents** : Familiarity with the latest AI agent frameworks and their deployment in real-world applications.
+ **Data Science Concepts** : Solid understanding of GenAI,NLP, Computer Vision, machine learning algorithms, data structures, and model evaluation techniques.
+ **Problem-Solving** : Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments.
+ **Collaboration & Communication** : Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders.
**Preferred Qualifications:**
+ Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms.
+ Experience with large-scale ML systems and distributed computing.
+ Understanding of ethical AI practices and AI fairness.
+ Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning.
**Technical Skills:**
+ Proficiency in Python, R, or other relevant programming languages.
+ Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
+ Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark).
+ Familiarity with DevOps practices and CI/CD pipelines for ML model deployment.
**Soft Skills:**
+ Strong communication skills with the ability to translate complex technical concepts into business-friendly language.
+ Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams.
+ Leadership potential or experience mentoring junior team members.
**Preferred Qualifications:**
+ Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services.
+ Experience working with containerization technologies like Docker and Kubernetes for model deployment.
+ Exposure to the latest trends in AI ethics, explainability, and fairness.
**Company Overview:**
Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies
**These are the traits we value:**
+ You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results.
+ Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team.
+ Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking.
+ Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear "right answer".
+ Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors.
+ Positive Outlook: A desire to look past the objections in search of the opportunity.
+ Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view.
+ A need for speed; demonstrated ability to make decisions quickly and to act upon them.
+ Alongside a team of entrepreneurial, high-performing, curious people, you'll deliver breakthrough solutions to drive sustainable growth for Ralliant
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About NewCo**
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.

Job Title

Data Robot Machine Learning Specialist

Relevant Experience

5 – 8 years (minimum 2 years hands-on with Data Robot Auto ML platform)

Location

Remote / Hybrid (Preferred: Chennai, India)

Type of Hire

Open to Persons with Disabilities (PwD) and Non-PwD candidates

Availability

Immediate joiners preferred

Role Summary

We are looking for a results-oriented Machine Learning professional with deep expertise in Data Robot to build, deploy, and monitor high-impact ML models across diverse business domains. You will own the end-to-end modeling lifecycle—from data preparation and project setup in DataRobot through production deployment and performance tracking—while guiding stakeholders on best practices for responsible AI.

Must-Have Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field
• 2+ years direct experience with DataRobot (v7+)—AutoPilot, Feature Discovery, MLOps, and APIs
• Strong Python or R skills for custom modeling and data wrangling
• Solid grasp of supervised & unsupervised algorithms, evaluation metrics, and model interpretability techniques
• Hands-on SQL; familiarity with data warehouses (Snowflake, BigQuery, Redshift, etc.)
• Experience deploying models via REST endpoints or message queues (Kafka, RabbitMQ)
• Comfort presenting technical results to business stakeholders

Job Title: Machine learning engineer Lead

Location: Hybrid Role / Chennai / Bangalore

Type: Fulltime with our client

Job Required Skills:

· 5+ years experience

· College degree

· Strong proficiency in Python (bonus if also have one of these Java, Scala, etc.).

· Advanced experience in SQL; Familiarity with version control tools (Git etc.).

· Understanding of statistical, machine learning and deep learning algorithms.

Ø Manage processes

Ø Has done computer science work, technology work and analysis work – needs a good blend of this

Ø Someone to actual do the work – make improvements to processes and do the work, not just suggest/talk/plan

· Experience working with big data environments using technologies such as Spark, Flink, NoSQL DB structures.

· Experience in cloud computing technologies based analytic solutions.

• · Experience building and productionizing micro-services and REST APIs.

Company Description

Founded in 2018, Giggso is a responsible AI platform for enterprise operations with security and automations. Giggso provides a single integrated platform for AI Agent orchestration, AI governance, monitoring and observability, incident management, automation, and remediation.

The platform is web 3.0 and blockchain-enabled, offering Model Risk Management solutions. Giggso aims to enhance decision-making and drive efficiency in AI ML systems for better customer experiences and cost management.

Role Description

This is a full-time hybrid role for a Machine Learning Engineer at Giggso, located in Chennai with flexibility for remote work. The Machine Learning Engineer will be responsible for pattern recognition, developing neural networks, implementing statistical analysis, and optimizing algorithms for AI ML systems. The role involves working on complex AI ML systems and contributing to operational efficiency and risk management.

Qualifications

• Pattern Recognition, Neural Networks, and Algorithms skills
• LLM programming with strong NLP background
• Strong background in python and math reasoning
• Proficiency in Statistics
• Ability to develop and optimize algorithms for AI ML systems
• Experience with pattern recognition and neural network modeling
• Knowledge of statistical analysis techniques
• Demonstrated expertise in algorithm design and implementation
• Strong problem-solving and analytical skills
• Understanding of model deployment and monitoring processes
• Master's is needed while PhD in Computer Science, Statistics, or related field is a plus