6,176 Autonomous Driving jobs in India

Description

Possess 5 – 6 yrs of professional experience, including a minimum of 3 yrs in Data Science / Analytics

2. Proficient in hands-on python programming

3. Capable of independently developing & deploying AI/ML models from scratch

4. Good understanding of AI/ML & Statistical models

5. Data Analysis, Visualization & Reporting

6. Handson experience in Splunk & Grafana (Good to have)

Requirements

Possess 5 – 6 yrs of professional experience, including a minimum of 3 yrs in Data Science / Analytics

2. Proficient in hands-on python programming

3. Capable of independently developing & deploying AI/ML models from scratch

4. Good understanding of AI/ML & Statistical models

5. Data Analysis, Visualization & Reporting

6. Handson experience in Splunk & Grafana (Good to have)

Job responsibilities

Possess 5 – 6 yrs of professional experience, including a minimum of 3 yrs in Data Science / Analytics

2. Proficient in hands-on python programming

3. Capable of independently developing & deploying AI/ML models from scratch

4. Good understanding of AI/ML & Statistical models

5. Data Analysis, Visualization & Reporting

6. Handson experience in Splunk & Grafana (Good to have)

What we offer

Culture of caring.  At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development.  We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work.  GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility.  We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization.  We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Skills Required
Data Science, Ai, Python

• 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

Infox Technologies is one of the pioneers in software field, with a client base all over the world. We have more than a decade's experience in the software field. We are in search of great talents for our new ventures and also we are in the process of grooming freshers and new grads to kick start their career in the software field.

Schedule:

- Day shift

Infox Technologies is one of the pioneers in software field, with a client base all over the world. We have more than a decade's experience in the software field. We are in search of great talents for our new ventures and also we are in the process of grooming freshers and new grads to kick start their career in the software field.

Schedule:

- Day shift

**Job Openings** **Machine Learning***:
**Job Description**:
Job Description Summary

2. Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
3. Perform to optimize data analysis software, develop performance evaluation measures and evaluate.

2. (Collecting and managing training data) Perform collecting and managing effective data used for training machine learning algorithm.

6. (Securing and managing large-scale computing resources) Participate in managing computing server to use algorithm that requires massive computing resources such as deep learning and massive data.

Additional Job Description
- Develops professional expertise by complying with company policies and procedures
- Works on problems of moderate scope where analyzing situations or data requires a review on various factors
- Exercises judgment within defined procedures and practices to determine appropriate action
- Normally receives general instructions on routine work with detailed instructions on new projects or assignments
- Generally requires a bachelor's degree with a minimum 2 years related experience, or advanced degree without experience

**About Company***:
Skillety is a gig-economy startup crowdsourcing platform. We provide various types of Staffing services like Full-Time, Part-time, Contractors & Freelancers. We help our Clients to move away from the old and soiled hierarchical business structure, and evolve into a 21st Century on-demand, open talent, cross-functional team; with a skilled and passionate workforce who are more engaged, effective & productive.

**Job Description**:
Job Description Summary

2. Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
3. Perform to optimize data analysis software, develop performance evaluation measures and evaluate.

2. (Collecting and managing training data) Perform collecting and managing effective data used for training machine learning algorithm.

6. (Securing and managing large-scale computing resources) Participate in managing computing server to use algorithm that requires massive computing resources such as deep learning and massive data.

Additional Job Description
- Develops professional expertise by complying with company policies and procedures
- Works on problems of moderate scope where analyzing situations or data requires a review on various factors
- Exercises judgment within defined procedures and practices to determine appropriate action
- Normally receives general instructions on routine work with detailed instructions on new projects or assignments
- Generally requires a bachelor's degree with a minimum 2 years related experience, or advanced degree without experience

About Company

Skillety is a gig-economy startup crowdsourcing platform. We provide various types of Staffing services like Full-Time, Part-time, Contractors & Freelancers. We help our Clients to move away from the old and soiled hierarchical business structure, and evolve into a 21st Century on-demand, open talent, cross-functional team; with a skilled and passionate workforce who are more engaged, effective & productive.

**Job Title**: Data Analyst Trainer

**Location**: Andheri

**Experience**:

- 2+ years

**Salary**: ₹25,000 - ₹35,000 per month

**Job Type**: Full-time

**Responsibilities**:

- Conduct training sessions on data analysis, including Python programming, SQL, and data science concepts.
- Develop and update training materials, including presentations, exercises, and assessments.
- Deliver technical training sessions on Data Science and Data Analytics topics, including Powerbi, Tableau,Python, SQL, Machine Learning, and AI.
- Stay current with industry trends and emerging technologies to ensure training content remains relevant.

**Requirements**:

- Expertise in Python programming, Machine Learning Libraries and SQL.
- Strong knowledge of data science principles and techniques.
- Proven experience in data analysis
- Ability to explain complex concepts in a clear and understandable manner.

**Qualifications**:

- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- Relevant certifications in data analysis or programming are a plus.

**Benefits**:

- Competitive salary package.
- Opportunities for professional development.
- Supportive work environment.
- Flexible timings

**Benefits**:

- Flexible schedule

Schedule:

- Day shift

Application Question(s):

- What is your location?
- Interested working as Data Analyst trainer?
- How many years of exp do you have?

Work Location: In person

Core Technology**:Machine Learning**
Level**:6+ Years**
Primary Skills**:Google Vertex AI, Python**
Secondary Skills**:ML Models, Gcp**
Open Positions**:2**
Job Location**:Hyderabad**
Work Mode**:Remote**
Deployment Type**:Full Time**
**Job Description**:
**Primary Skills Required**:

- Strong understanding of **MLOps** practices
- Hands-on experience in **deploying and productionizing ML models**:

- Proficient in **Python**:

- Experience with **Google Vertex AI**:

- Solid knowledge of **machine learning algorithms** such as:

- **XGBoost**:

- **Classification models**:

- **BigQuery ML (BQML)**

**Key Responsibilities**:

-  Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions.
-  Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines.
-  Work with Data Scientists to productionize ML models and support experimentation workflows.
-  Implement model monitoring and alerting for drift, performance degradation, and data quality issues.
-  Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker.
-  Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar.
-  Ensure proper security, versioning, and compliance across the ML lifecycle.
-  Maintain documentation, artifacts, and reusable templates for reproducibility and auditability.
-  Having GCP MLE Certification is Plus.

**Job Types**: Full-time, Permanent, Fresher

Schedule:

- Day shift
- Morning shift

Application Question(s):

- Do you have the Hands-on experience in deploying and productionizing ML models?
- Are you proficient in python?
- Do you have experience with Google Vertex AI?
- Do you have Solid knowledge of machine learning algorithms such as:
XGBoost
Classification models
BigQuery ML (BQML) ?

Work Location: In person

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.
+ Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
+ You will design and develop tools and apps to enable ML automation using AWS ecosystem
+ Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications
+ Support large scale model training and serving pipelines in distributed and scalable environment
+ Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
+ Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
+ Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree
+ Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
+ 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2+ years of experience in machine learning, deep learning, and natural language processing
+ 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
+ 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming
+ 2+ years of experience with cloud-native DevOps, CI/CD
+ 1+ years of experience with Generative AI/LLMs
+ Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
+ Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc
+ Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
+ Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X
+ Experience with generative models such as GANs, VAEs, and autoregressive models
+ Prompt engineering
+ Ability to design and craft prompts that evoke desired responses from LLMs
+ LLM evaluation
+ Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
+ LLM debugging
+ Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
+ LLM deployment
+ Ability to deploy LLMs in production environments and ensure that they are reliable and secure
+ Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree
+ Computer Science or related STEM field