5,990 Machine Learning jobs in India

Role & responsibilities Machine Learning

A machine learning expert should not only be able delve into concepts such as data analytics, big data, artificial intelligence, machine learning and deep learning, etc., Also help other team member in by challenging the thought process and bringing in innovative thinking. Ensuring the execution through collaborative working and problem solving. This role will require areas to be identified for value creation that will benefit from new technology, technique or algorithm deployment. The candidate is expected to possess a strong technical and business competency with knowledge of current industry Machine Learning standards, structures, and best practices, and who is capable of identifying current industry challenges in Telecom Network space, which can be solved using data science.

Machine Learning Specialist qualifications and Experience

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. Major part of this in 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 an exposure of consulting in the field of data science or having record of publications

8. Fluent communication skills in English are 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.

A machine learning (ML) job involves designing, building, and deploying AI systems that learn from data to make predictions and automate tasks. Key responsibilities include data preprocessing, statistical analysis, developing and training ML models, implementing algorithms, testing and evaluating performance, and collaborating with data scientists and software engineers. The goal is to create efficient, scalable, and self-improving AI solutions for various business applications. Key Responsibilities:

• Data Management:Collect, clean, preprocess, and analyze large datasets to identify patterns and prepare them for model training.
• Model Development:Design, develop, and implement machine learning algorithms and models, including neural networks, for specific tasks like classification, prediction, and forecasting.
• Training and Optimization:Train and retrain models, using test results to evaluate their performance and optimize them for higher accuracy and efficiency.
• System Design:Create and scale data and model pipelines, design and build AI systems, and integrate them into real-world applications.
• Testing & Evaluation:Conduct experiments and tests on AI systems, evaluate model performance, and identify issues or areas for improvement.
• Collaboration:Work with data scientists, data engineers, and business teams to understand requirements, translate them into ML solutions, and ensure models are integrated into workflows.
• Continuous Improvement:Stay updated on the latest advancements in machine learning, explore new techniques, and continuously improve existing models and frameworks.

Essential Skills & Tools:

• Programming:Proficiency in programming languages like Python or R is crucial.
• ML Frameworks:Experience with machine learning frameworks such as TensorFlow or PyTorch is often required.
• Data Science & Statistics:Strong understanding of statistical analysis and data science principles to drive decisions and optimize models.
• Big Data Technologies:Familiarity with big data tools and technologies for handling large datasets.
• Problem-Solving:Ability to analyze complex problems and develop innovative, data-driven solutions.

Job Type: Full-time

Pay: ₹471, ₹1,787,189.77 per year

Work Location: Remote

About The Role  

Location:  Pune, India

Role Overview: 

We are seeking a Senior Machine Learning Software Engineer  to join our team and drive the development of cutting-edge AI/ML solutions . You will play a key role in designing, building, and optimizing  our machine learning infrastructure  while collaborating with Product Managers, Data Scientists, and Engineers  to bring innovative models into production. The ideal candidate should have a strong background in ML operations, software engineering, and automation  to ensure a scalable and robust AI-driven ecosystem.

Key Responsibilities:- Operationalize  leading data and analytics technologies  while following best practices.
- Partner with Product Managers  to understand customer requirements, design prototypes, and deploy solutions to production .
- Design, build, harden, and maintain  the core infrastructure supporting the ML platform and lifecycle .
- Define and contribute to the technology strategy, roadmap, and priorities  for AI/ML initiatives.
- Automate every aspect of the ML infrastructure  to minimize human intervention  and improve efficiency.
- Encourage and implement best practices  in data engineering and software development .
- Write high-quality, production-grade code  that aligns with company standards and contribute to new standardization efforts .
- Implement automated testing  to ensure reliability and correctness of ML models and infrastructure.
- Review and mentor  other engineers to promote high-quality engineering practices.
- Actively participate in technical communities-of-practice  and continuing education programs  to advance personal and organizational growth.
- Facilitate problem diagnosis and resolution  across technical and functional  areas.
Required Skills & Competencies:- 8+ years  of experience in software engineering, machine learning, or data engineering .
- Expertise in designing, coding, and scripting  to develop real-world AI/ML solutions .
- Strong programming skills in Python, Java, or Scala  with hands-on experience in ML frameworks.
- Experience with ML model deployment, MLOps, and automation .
- Proficiency in cloud-based ML solutions.
- Knowledge of data pipeline orchestration tools.
- Strong background in data engineering concepts.
- Experience working with containerization.
- Strong analytical and problem-solving skills with a collaborative mindset .
- Excellent communication and leadership skills  with the ability to mentor and guide  junior engineers.

We Are #Hiring. Know anyone who might be interested

Interested Candidates Share your Resumes:

Job Title: Subject Matter Expert/Content Developer (Machine Learning)

Job Location: Hitec City, Hyderabad

Interview Mode: F2F

Fresher/Experience: 0-3yrs

Salary: Depends on Interview

Timings: 10am - 6:30pm

Working Days: Monday – Saturday

Company Description

EKALASAALA provides Career Guidance & Training to Technocrats through e-learning. The company aims to group all career paths available for engineering graduates in India and provide guidance on each path.

Role Description

This is a full-time on-site role for a Subject Matter Expert for Machine Learning at Ekalasaala in Hyderabad. The expert will be responsible for applying computer science, deep learning, machine learning, statistics, and algorithms to provide guidance and training to technocrats in the field.

Qualifications

· Computer Science skills

· Deep Learning and Machine Learning skills

· Statistical knowledge

· Understanding of Algorithms

· Experience in the field of Machine Learning

· Excellent analytical and problem-solving skills

· Master's degree in Computer Science or related field

· Proficiency in machine learning algorithms, data modeling, and statistical analysis and PowerBi

· Experience with tools like Python, Tensor Flow, and other machine learning frameworks

· Strong analytical and problem-solving skills

· Excellent communication and presentation abilities

· Bachler / master's degree in computer science, Data Science, or related field

Machine Learning internship

· Must Have Skills

· They have to Create the Content and Code With the help of technologies

· Machine Learning Algorithms, Statistical Modelling Python Programming Language Knowledge On AI, DL and CV Data Visualization Data Analytics and Exploration Strong Mathematics.

Job Type: Full-time

Pay: ₹25, ₹35,000.00 per month

Work Location: In person

About the Role

We are looking for a passionate and adaptive Machine Learning / AI Developer who can quickly learn and apply cutting‑edge AI tools and frameworks. This role is ideal for someone with a strong foundational understanding of AI/ML concepts and hands‑on coding ability, who thrives on experimentation and rapid prototyping.

Key Responsibilities

• Design, implement, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, and Transformers.
• Work with TPUs and GPUs for accelerated ML training and inference.
• Preprocess, clean, and analyze large structured and unstructured datasets, including vector database integration.
• Collaborate with backend and frontend engineers to integrate ML models into scalable applications.
• Keep up to date with the latest advancements in ML architectures and deployment methods.
• Perform model evaluation, hyperparameter tuning, and performance benchmarking.
• Implement best practices in model reproducibility, version control, and documentation.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
• Strong programming skills in Python, with exposure to a plus.
• Understanding of ML models including supervised, unsupervised, and deep learning approaches.
• Knowledge of Transformers and NLP models is highly desirable.
• Familiarity with database concepts, including vector search.
• Good grasp of data pipelines, preprocessing techniques, and cloud‑based ML deployment.

Soft Skills & Attributes

• Fast learner with ability to adapt to new technologies quickly.
• Strong problem‑solving mindset and attention to detail.
• Collaborative attitude with good communication skills.
• Self‑motivated and curious about AI trends and innovations.

What We Offer

• Opportunity to work with modern AI technologies and frameworks.
• A collaborative, learning‑focused work culture.
• Scope to experiment, innovate, and shape impactful AI solutions.

Role & Mission
As our Machine Learning / LLM Orchestrator, you won't just build code faster—you'll architect the AI frameworks that empower every team member to build and deploy AI‑driven features independently. You will design, fine‑tune and deploy large language models (LLMs), create internal tools that allow product managers and engineers to generate front‑end and back‑end components with minimal friction, and scale adaptive fraud‑risk models for real‑time transactions.

Key Responsibilities

• Build and fine‑tune local LLM engines; design automated pipelines for code generation, testing, documentation and deployment.
• Architect microservices and APIs that integrate AI models into our payment gateway, risk‑management systems and new product features.
• Develop adaptive machine‑learning models for transaction monitoring and fraud‑risk management.
• Create internal AI toolkits and frameworks enabling non‑engineers to develop UI/UX, backend services and ML workflows aligned with existing architecture.
• Establish best practices for prompt engineering, model evaluation and agent orchestration; mentor engineers and product teams.
• Collaborate with leadership to shape our AI strategy and roadmap.

Qualifications

• 7–8 years of software engineering experience (backend or full‑stack); fintech or payments exposure is a plus.
• At least 2 years building, fine‑tuning or deploying LLMs or custom ML models.
• Proficiency with PyTorch or TensorFlow, and familiarity with orchestration frameworks (e.g. LangChain, LlamaIndex).
• Experience with CI/CD pipelines, Docker/Kubernetes and microservices.
• Demonstrated ability to deliver production‑ready AI solutions quickly and iteratively.
• Strong communication skills and a passion for empowering others through technology.

Why Join Us?

• Shape the future of AI‑native fintech—your work will directly influence how our company harnesses AI at scale.
• High autonomy and ownership; you'll define our AI frameworks and standards.
• Fast‑paced, experimentation‑first environment that values innovation and learning.
• Competitive compensation and flexible remote/hybrid working options.

About Company
SabPaisa (SRS Live Technologies) is an RBI Authorised Payment Aggregator.

Founded in 2016 with headquarters in New Delhi, a corporate office in Kolkata, and regional offices across the country, it is a rapidly advancing fintech company. SabPaisa is dedicated to providing simplified payment solutions, offering customizable options tailored to the client's unique needs.

How Are We Different
SabPaisa's dynamic, PCI-DSS and SSL-certified payment gateway offers secure online checkout with diverse options—Cards, Net-Banking, UPI, Wallets, and offline choices like e-Cash, e-NEFT & Bharat QR, available at nearly 10 Lac Cash Counters nationwide.

Our white-labelled payments and collection suite partners with banks like BOI, BOB, IDFC First, Canara, UBI & Indian Bank, processing over INR 94.9 billion.

Introduction Video:

Apply

1. Job Title: Machine Learning (ML) Architect

Summary:The Machine Learning Architect designs and oversees AI/ML architecture for scalable enterprise solutions. This role sets technical direction, drives ML operations (MLOps), ensures high model performance, security, compliance, and bridges data, engineering, and business objectives.

Key Responsibilities:

• Architect and maintain ML pipelines spanning data preparation, model training, deployment, monitoring, and retraining.
• Define standards/best practices for MLOps, feature management, model versioning, CI/CD, and model registry.
• Collaborate with DevOps, Security, Compliance and Data Governance teams on infrastructure and policies.
• Evaluate, select, and integrate appropriate frameworks and platforms (PyTorch, TensorFlow, AWS Sagemaker, Vertex AI, Kubeflow, etc.).
• Optimize computational resource utilization and cost for cloud/hybrid environments.
• Lead technical design reviews, root cause analyses, and system troubleshooting.
• Document architecture and mentor teams in scalable ML solution design.

Required Skills:

• Deep knowledge of ML algorithms, statistical modeling, data engineering, and distributed systems.
• Strong programming (Python, Scala, Java) and hands-on MLOps exposure.
• Cloud expertise (AWS, Azure, GCP), especially ML-native services.
• Proficiency in containerization/orchestration (Docker, Kubernetes).
• Familiarity with CI/CD pipelines, GitOps, and Infrastructure as Code.
• Excellent communication, system documentation, and leadership skills.

Preferred Qualifications:

• Experience with Explainable AI, responsible AI, and ML governance.
• Prior experience leading large-scale deployments of ML solutions.

Tools & Technologies:Python, PyTorch, TensorFlow, MLFlow, Airflow, AWS, GCP, AzureML, Docker, Kubernetes, Apache Spark.

Experience:8+ years in ML/Data Science/Software Engineering, 3+ years architecture leadership.

Education:Bachelor's/Master's in Computer Science, Data Science, or similar technical field.

Job Type: Full-time

Pay: ₹4,000, ₹6,000,000.00 per year

Work Location: In person