8,784 Machine Learning Specialist jobs in India

Description

1. Expertise in Agile Methodology
2. Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
3. Python Programming
4. Proficiency in Python (preferred) and Java for AI and ML automation tasks.
5. Testing AI & ML Models
6. Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
7. Automation Frameworks for AI
8. Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
9. Estimation techniques for Automation testing efforts (Design and Execution).
10. Cloud Automation Strategy
11. Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
12. API and Web Services Testing
13. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
14. CI/CD Automation
15. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
16. Test Management Tools
17. Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
18. Various Testing Types
19. Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
20. Exposure to Cloud Platforms
21. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
22. AI Product Workflow Understanding
23. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Role
:
AI/ML Specialist – Computer Vision

Type
: Pune (flexibility for US team collaboration)

Position
: Expert-Level

Location
: Pune, India

Contact
:

About Fluid Analytics:

Fluid Analytics is an award winning cleantech start-up, using cutting-edge technologies to help countries around the world tackle urban water pollution. The company's unique platform is deployed by cities to monitor the health of water infrastructure, the health of waterways (lakes, rivers, and coastlines), and public health. Fluid Analytics was recently awarded as the Global Top Innovator by the World Economic Forum, at this year's Annual Meeting in Davos, Switzerland.

Come join our team of passionate individuals, striving to make cities around the world water resilient.

We are looking for

We are seeking an expert-level Machine Learning leader to architect, scale, and own the end-to-end lifecycle of ML initiatives at Fluid Analytics. This role demands deep technical mastery in ML/AI, proven experience in building scalable systems, and the ability to translate cutting-edge research into impactful real-world solutions. You will play a pivotal role in shaping the company's ML/AI strategy, leading innovation, and growing a high-performing team.

What You'll Bring to Fluid Analytics:

We are seeking a talented Machine Learning specialist with a strong focus on computer vision to join our team. In this role, you will be responsible for developing, training, and deploying machine learning models that solve complex vision-related tasks across diverse applications.

Key Responsibilities

:

• Develop, train, and deploy machine learning models, with a focus on computer vision tasks like object detection, image segmentation, and image enhancement.
• Write clean, efficient, and scalable code in Python.
• Apply experience with key computer vision libraries like NumPy, Pandas, and OpenCV.
• Work with image processing techniques such as image enhancement, normalization, feature extraction (SIFT, SURF, HOG), and improving model performance.
• Implement deep learning frameworks and use transfer learning or fine-tune pre-trained models.
• Understand and apply CNN architectures like YOLO for object detection and segmentation.
• Utilize generative models (GANs) for tasks like image generation or style transfer.
• Work with data structures such as trees, graphs, and multidimensional arrays for processing and storing image data.
• Use your strong foundation in linear algebra, probability, and statistics to improve model accuracy and efficiency.
• Manage large volumes of image and video data using distributed storage solutions like HDFS, S3, or Google Cloud Storage.
• Deploy and manage machine learning models on cloud platforms (AWS, GCP, or Azure) using containerization (Docker) and orchestration tools (Kubernetes).
• Work closely with Founders, Product, and Engineering teams to integrate ML tasks into the Agile development process.
• Drive sprint planning & execution with measurable milestones.
• Enforce lean development principles (shipping to production every sprint).
• Maintain high code quality standards with code reviews, modular design, and TDD.
• Establish version control for models (Git/ML flow) and implement CI/CD pipelines.

Qualifications

:

• Proven experience in computer vision and machine learning.
• Ability to tackle real-world problems and innovate on solutions.
• Strong analytical and problem-solving skills, with attention to model performance and accuracy.
• Experience in cloud-based machine learning model deployment is a plus.
• 5+ years of overall experience

, with at least
5+ years in ML/AI

and
5+ years in leadership

roles.
- Proven expertise in designing, deploying, and scaling
cloud-native ML/AI systems

in production.
- Hands-on mastery of
deep learning, predictive modeling, multimodal AI (image, video) and Gen AI

.
- Strong background in
MLOps

(CI/CD, monitoring, server less workflows).
- Exceptional communication, stakeholder management, and cross-functional collaboration skills.

Please Note:

• This position is not for NLP or Big Data

Why Join Us?

• Drive ML innovation with direct impact on critical public utility systems.
• Own the strategic direction of ML/AI for the company.
• Opportunity to file patents, publish research, and represent the company at global forums.
• Build and scale a world-class ML team with strong backing from founders and leadership.
• A chance to work on cutting-edge, high-impact problems with global exposure.

Equal Employment Opportunity:

Fluid Analytics is dedicated to fostering a workplace that values diversity and inclusion. We are an equal opportunity employer, encouraging applications from candidates of diverse backgrounds.

backgrounds.

Job Description:

Role: Machine Learning Specialist

Experience Range: 6-12 years

Location: Gurgaon,Delhi,Noida

Required Expertise:

Machine Learning:

1. Python (Advance level with complex algorithms)
2. R (Advance level with complex algorithms)

Visualization

1. Monitoring with Prometheus and Grafana
2. Tableau and Click View

Container and Storage:

1. Kubernetes
2. Docker

Working knowledge of Data Management Platforms:

1. NiFi, Kafka, HDFS, Hive
2. PostgreSQL
3. NetApp storage
4. IBM Spectrum Scale storage
5. FreeIPA role-based access control (RBAC)

Functional Domain Knowledge:

1. Approx 10-15 years' industry experience, preferably in Telecom. A major part of this is the implementation of artificial intelligence-based technologies to enhance operations and processes.
2. Sound knowledge of Cisco hardware, RF, RAN, Transport, Core and Applications.
3. OR Previous working experience as a Machine Learning/ Data Scientist for more than 10 years
4. Master or greater degree in Data science, computer science, mathematics, or statistics from a nationally or internationally recognized institution.
5. Outstanding problem solving and analytical skills, Attention to detail
6. Excellent project and time management skills
7. It will be good to have exposure to consulting in the field of data science or having record of publications
8. Fluent communication skill in English is a requirement.

Roles and Responsibilities

1. The ML specialist/consultant will include the development of strategic related outlooks, roadmaps with tangible milestones and deliverables.
2. This role requires the ability to guide and mentor multidisciplinary technology teams, support development of training plans for employees within the field of Artificial Intelligence and Machine Learning.
3. Propose new strategies and develop plans to expand the field of application of Machine learning and artificial intelligence within Telecom Network space.
4. Maintain up to date on new trends and techniques for data science-based applications in wireless or wireline network to ensure a resilient plan for value realization
5. Establish and manage collaborations within NSG, CMI and other units as well as external partners to accelerate the achievement of goals and maximize the impact of initiatives.
6. Design and develop machine learning algorithms in Telecom Network space wireless or wireline.
7. Discover, design, and develop analytical methods to support novel approaches of data and information processing in the Telecom Networks
8. Provide technical support for program management and business development activities including proposal writing and customer development
9. Create and monitor research programs for new proposed technologies, all while aligned with new business trends.
10. Present technical and techno-commercial acumen to support different responses to clients /Bids / RFPs.

Machine Learning Engineer – Data Quality Lead

Hyderabad | WFO | 6 Days with Flexibility for Saturday

We are building at the frontier of AI, where the quality of data directly defines the power of Large Language Models (LLMs).

As a
Machine Learning Engineer – Data Quality Lead
, you will:

• Automate pipelines that ensure reliability, safety, and relevance of training datasets.
• Run proxy fine-tuning and reward modeling experiments to validate quality.
• Design evaluation frameworks (human + LLM-as-a-judge) to measure consistency and alignment.
• Collaborate with annotation teams to drive scalable, high-quality data workflows.

What we're looking for
:

• Strong understanding of LLM training & evaluation (SFT, RLHF, reward models).
• Proficiency in Python, PyTorch, Hugging Face, and evaluation tooling.
• Ability to translate model diagnostics into actionable insights.
• Self-starter with a consultative mindset, comfortable working at the intersection of research and client success.

Why join
:

• Work on mission-driven AI projects that push the boundaries of model reliability.
• Shape data pipelines that directly influence next-generation AI systems.
• Join a fast-scaling AI-first team with global impact.

If you're passionate about data-centric AI and want to work where
data quality meets model excellence
, let's talk.