19,337 AI Machine Learning Engineer jobs in India

Our client is at the forefront of technological innovation and is seeking a highly skilled Lead AI & Machine Learning Engineer to join their esteemed, fully remote team. This role is pivotal in driving the development and deployment of cutting-edge artificial intelligence and machine learning solutions across our product portfolio. The ideal candidate will possess a deep expertise in AI algorithms, model development, data science, and software engineering, with a proven track record of leading complex ML projects from conception to production. You will be responsible for designing robust ML architectures, mentoring junior engineers, and collaborating with cross-functional teams to translate business challenges into intelligent solutions. This is an exceptional opportunity for a visionary leader to shape the future of AI within our organization.

Responsibilities:

• Lead the design, development, and implementation of advanced AI and Machine Learning models and algorithms.
• Develop and maintain scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Mentor and guide a team of AI/ML engineers, fostering a collaborative and innovative environment.
• Collaborate closely with product managers, data scientists, and software engineers to identify opportunities for AI/ML application and integrate solutions into existing platforms.
• Stay abreast of the latest research and advancements in AI/ML, exploring and implementing novel techniques.
• Conduct thorough research and experimentation to evaluate the performance of different models and approaches.
• Ensure the ethical and responsible development and deployment of AI systems.
• Optimize ML models for performance, scalability, and efficiency.
• Contribute to the overall technical strategy and roadmap for AI/ML initiatives.
• Present complex technical findings and project updates to both technical and non-technical stakeholders.
• Troubleshoot and resolve issues related to ML models in production environments.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in AI/ML engineering, with at least 2 years in a leadership or lead role.
• Proven expertise in developing and deploying various ML algorithms (e.g., deep learning, reinforcement learning, natural language processing, computer vision).
• Proficiency in programming languages such as Python, R, and associated ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Demonstrated ability to lead teams and manage complex projects effectively in a remote setting.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Experience with big data technologies is a plus.

This remote position offers a highly competitive salary, extensive benefits, and the opportunity to work on challenging and impactful projects. Join us and be at the forefront of AI innovation.

Our client is at the forefront of innovation and is looking for a highly skilled and visionary Lead AI & Machine Learning Engineer to drive their cutting-edge projects. This fully remote position offers the unique opportunity to shape the future of AI and emerging technologies from anywhere in the world. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning frameworks, and extensive experience in building and deploying scalable AI solutions. This role requires exceptional problem-solving skills, creativity, and the ability to lead and mentor a team of talented engineers.

Responsibilities:

• Lead the design, development, and implementation of advanced AI and Machine Learning models and algorithms.
• Develop and deploy scalable ML solutions for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems.
• Research and evaluate state-of-the-art ML techniques and technologies to drive innovation.
• Collaborate with product managers and stakeholders to define AI/ML project requirements and roadmaps.
• Build and maintain robust data pipelines, ensuring data quality and integrity for model training.
• Optimize model performance, scalability, and efficiency for production environments.
• Mentor and guide junior ML engineers, fostering a culture of learning and technical excellence.
• Stay abreast of the latest advancements in AI, machine learning, and data science research.
• Develop and implement best practices for ML model development, deployment, and monitoring.
• Communicate complex technical concepts and findings effectively to both technical and non-technical audiences.
• Contribute to the company's intellectual property through patents and publications.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• Minimum of 8+ years of experience in developing and deploying AI/ML models in a production environment.
• Proven expertise in various machine learning algorithms (e.g., regression, classification, clustering) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, Keras).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proficiency in data manipulation and analysis tools (e.g., Pandas, Spark).
• Solid understanding of software engineering principles and best practices for developing production-ready code.
• Experience leading technical projects and mentoring engineering teams.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities, especially in a remote setting.
• Experience with big data technologies is a plus.

This fully remote role based out of Lucknow, Uttar Pradesh, IN offers a chance to shape the future of AI.

Our client is a leader in pioneering AI and Emerging Technologies, and we are seeking a highly accomplished Principal AI & Machine Learning Engineer to join our advanced research and development team in **Lucknow, Uttar Pradesh, IN**. This senior role is pivotal in driving the innovation and implementation of sophisticated artificial intelligence and machine learning solutions that solve complex problems and create significant business value. The ideal candidate will possess a deep theoretical understanding and extensive practical experience in various AI/ML domains, including deep learning, natural language processing, computer vision, and reinforcement learning. You will be responsible for conceptualizing, designing, developing, and deploying cutting-edge AI models and algorithms. Key responsibilities include leading research initiatives, exploring novel algorithms, architecting scalable ML systems, and optimizing model performance for production environments. You will mentor junior engineers, collaborate closely with data scientists and software engineers, and translate intricate business requirements into robust AI solutions. A strong background in programming languages such as Python, R, or Scala, along with extensive experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, is essential. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices for deploying and managing ML models at scale is highly desirable. We are looking for a visionary leader with exceptional analytical, problem-solving, and strategic thinking skills, coupled with a passion for pushing the boundaries of AI. This role offers an unparalleled opportunity to contribute to groundbreaking advancements in AI and shape the future of technology.

Responsibilities:

• Lead the research, development, and deployment of advanced AI and Machine Learning models.
• Design and architect scalable and efficient machine learning systems and pipelines.
• Explore and implement novel algorithms and techniques in areas like deep learning, NLP, and computer vision.
• Optimize model performance, accuracy, and efficiency for production environments.
• Collaborate with cross-functional teams to define project goals and translate business needs into AI solutions.
• Mentor and guide junior AI/ML engineers and data scientists.
• Stay at the forefront of AI research, identifying and evaluating new technologies and methodologies.
• Ensure the ethical and responsible development and deployment of AI systems.
• Develop and implement MLOps practices for model lifecycle management.
• Present research findings and project outcomes to technical and non-technical stakeholders.
• Contribute to the overall AI strategy and technological roadmap of the company.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 10 years of progressive experience in AI/ML research and development.
• Extensive experience with deep learning frameworks (TensorFlow, PyTorch) and libraries (Scikit-learn).
• Proficiency in programming languages like Python, R, or Scala.
• Strong theoretical foundation in statistics, algorithms, and mathematical modeling.
• Proven track record of successfully deploying AI/ML models into production.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Excellent leadership, problem-solving, and communication skills.
• Ability to conceptualize and articulate complex technical ideas.
• Publications in top-tier AI/ML conferences or journals are a strong plus.

Our client is actively seeking a visionary Lead AI & Machine Learning Engineer to drive the development and implementation of cutting-edge artificial intelligence and machine learning solutions. This role is fully remote, offering the flexibility to work from anywhere while contributing to groundbreaking projects. The ideal candidate will possess a strong academic background, extensive practical experience in AI/ML model development, and the leadership skills to guide a talented team.

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.
• Architect scalable and robust AI/ML pipelines for data ingestion, processing, training, and inference.
• Collaborate with product managers and stakeholders to understand business needs and translate them into AI/ML solutions.
• Conduct research into state-of-the-art AI/ML techniques and explore their applicability to our client's challenges.
• Mentor and guide junior ML engineers, fostering a culture of innovation and technical excellence.
• Oversee the end-to-end lifecycle of ML models, including monitoring, retraining, and optimization.
• Implement best practices for MLOps, ensuring efficient deployment and management of models in production environments.
• Evaluate and select appropriate ML frameworks, libraries, and tools.
• Analyze large datasets to extract meaningful insights and identify opportunities for AI-driven improvements.
• Stay current with the latest research and advancements in AI and machine learning.
• Present findings and technical solutions to both technical and executive audiences.
• Ensure the ethical development and deployment of AI systems.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of progressive experience in AI/ML engineering, with at least 2 years in a leadership or senior technical role.
• Demonstrated expertise in developing and deploying machine learning models (e.g., deep learning, NLP, computer vision).
• Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data structures, algorithms, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proven ability to architect and build scalable ML systems.
• Excellent problem-solving skills and a passion for tackling complex technical challenges.
• Strong leadership, communication, and interpersonal skills.
• Experience with MLOps practices and tools is highly desirable.
• Ability to thrive in a fully remote, collaborative work environment.

This is an unparalleled opportunity to shape the future of AI within a forward-thinking organization, making a significant impact from your remote workspace, contributing to projects for our client based out of **Bengaluru, Karnataka, IN**.

Our client is at the forefront of innovation and is seeking a highly skilled and experienced Lead AI & Machine Learning Engineer to join their cutting-edge research and development team. This is a fully remote role that offers the opportunity to work on transformative projects at the intersection of artificial intelligence and emerging technologies. You will be responsible for designing, developing, and deploying advanced machine learning models and algorithms to solve complex business problems. Your expertise will be crucial in driving the architecture and implementation of AI-powered solutions, from data preprocessing and feature engineering to model training, validation, and deployment. You will lead a team of talented engineers and data scientists, providing technical guidance, mentorship, and strategic direction. This role demands a deep understanding of various ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. You will also be involved in exploring new research areas, staying abreast of the latest advancements in AI, and contributing to the company's intellectual property. Key responsibilities include collaborating with product managers and stakeholders to define project requirements, prototyping new ideas, optimizing model performance for scalability and efficiency, and ensuring the ethical and responsible use of AI. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is essential. A strong foundation in software engineering principles and proficiency in programming languages such as Python or R is required. We are looking for a visionary leader with a proven track record of delivering successful AI/ML projects and a passion for pushing the boundaries of technology. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field is preferred. This is an exceptional opportunity to contribute to groundbreaking work in a collaborative and intellectually stimulating remote environment.

Our client is seeking a highly skilled and innovative Senior AI & Machine Learning Engineer to join their forward-thinking team in Hyderabad, Telangana, IN . This hybrid role offers a dynamic work environment where you will spearhead the design, development, and deployment of advanced AI and ML solutions. You will tackle complex problems, leverage cutting-edge technologies, and contribute to groundbreaking projects that push the boundaries of artificial intelligence. The ideal candidate possesses a strong theoretical foundation and practical experience in building and scaling ML models in real-world applications.

Responsibilities:

• Design, develop, and implement sophisticated machine learning models and algorithms.
• Build and maintain scalable ML pipelines for data preprocessing, feature engineering, model training, and deployment.
• Collaborate with data scientists, software engineers, and product managers to translate business needs into technical AI/ML solutions.
• Conduct exploratory data analysis to identify patterns, insights, and opportunities for ML applications.
• Evaluate and select appropriate ML frameworks, tools, and technologies (e.g., TensorFlow, PyTorch, scikit-learn).
• Optimize model performance, accuracy, and efficiency for production environments.
• Develop and implement strategies for model monitoring, evaluation, and continuous improvement.
• Stay current with the latest research and advancements in AI, ML, and related fields.
• Mentor junior engineers and contribute to the team's technical growth.
• Document ML models, experiments, and processes thoroughly.

Qualifications:

• Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying machine learning models in production.
• Strong programming skills in Python and proficiency with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
• Solid understanding of statistical modeling, algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Familiarity with MLOps principles and tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities, particularly in a hybrid work setting.
• Ability to work independently and take initiative.
• Experience with deep learning, natural language processing, or computer vision is a plus.

This is an exceptional opportunity for a talented engineer to drive innovation in the exciting field of AI and emerging technologies.

Our client, a cutting-edge research and development firm at the forefront of Artificial Intelligence, is seeking an experienced and visionary Lead AI & Machine Learning Engineer for a fully remote position. This role offers the chance to work on groundbreaking projects that are shaping the future of AI. You will be responsible for leading the design, development, and deployment of advanced machine learning models and AI-driven solutions. This includes everything from data preprocessing and feature engineering to model selection, training, evaluation, and operationalization. The ideal candidate will have a strong theoretical foundation in AI/ML, extensive practical experience with relevant frameworks and tools, and a proven track record of delivering impactful AI solutions. You will also play a key role in mentoring junior engineers and contributing to the strategic direction of the AI team.

Key Responsibilities:

• Lead the end-to-end development and deployment of AI and Machine Learning models.
• Design and implement sophisticated algorithms for tasks such as predictive modeling, natural language processing, computer vision, and reinforcement learning.
• Perform data collection, cleaning, preprocessing, and feature engineering on large, complex datasets.
• Select, train, and evaluate various machine learning models using appropriate frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Develop and maintain robust ML pipelines for model training, validation, and deployment.
• Optimize model performance for accuracy, efficiency, and scalability.
• Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI solutions into products and services.
• Stay abreast of the latest research and advancements in AI and Machine Learning.
• Mentor and guide junior AI/ML engineers, fostering a culture of innovation and technical excellence.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Contribute to the development of the company's AI strategy and roadmap.
• Ensure ethical considerations and responsible AI practices are integrated into all projects.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in AI and Machine Learning development.
• Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python.
• Extensive experience with deep learning frameworks like TensorFlow, PyTorch, Keras.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with cloud ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
• Strong understanding of MLOps principles and practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven leadership and mentorship abilities.
• Exceptional communication and presentation skills.

This is a unique opportunity to lead innovation in the rapidly evolving field of AI from a remote setting.

L4B Software is a cutting-edge technology company specializing in Embedded systems and Linux-based solutions . We are at the forefront of innovation, developing advanced software solutions that power a wide range of devices across various industries. As we continue to grow, we are seeking passionate and talented individuals to join our team. 

We are seeking an experienced and highly motivated AI & Machine Learning Engineer Intern for our Team in Pune,  to drive the development and success of our AI-based  products.

At L4B Software you will: 

·    Develop and implement state-of-the-art NLP, Machine Learning, and Deep Learning Models.·    Contribute to the entire model development life cycle, from ideation to deployment.·    Execute expertise in text prepossessing, cleaning, and formatting.·    Leverage prior experience in data prepossessing during previous internships, if applicable.·    Carry out model training and evaluation processes, with a focus on Language Model Models (LLM’s).·    Utilize understanding and working knowledge of cloud technologies, particularly AWS.·    Collaborate closely with Team Lead and AI/ML Engineers to ensure seamless integration of models and solutions.·    Participate actively in team meetings and contribute to collaborative problem-solving.·    Implement experience with versioning frameworks like Git.·    Apply in-depth understanding and knowledge of NLP projects.·    Demonstrate familiarity with API frameworks and their security, such as Flask, FAST, etc.Requirements

What you will bring:

·    Proficiency in Python programming.·    Familiarity with Data Science packages, including NLTK, Spacy, PyTorch, Keras/TensorFlow, NumPy, Pandas, etc.·    Expertise in text prepossessing, cleaning, and formatting.·    Nice to have experience in data prepossessing.·    Experience with versioning frameworks like Git.·    In-depth understanding and knowledge of NLP projects.·    Familiarity with API frameworks and their security, such as Flask, FAST, etc.·    Familiarity with model training and evaluation processes, especially Language Model Models (LLM’s).·    Knowledge of cloud technologies, such as AWS, Azure, or GCP.·    Ability to collaborate closely with Team Lead and AI/ML Engineers.·    Participate actively in team meetings and contribute to collaborative problem-solving.Benefits

What We Offer:

Health Insurance:  Ensure peace of mind with our comprehensive health insurance coverage, offering you and your family access to high-quality healthcare whenever necessary. Provident Fund Contribution:  Our company provides a provident fund policy with contributions from both the employer and employee. This collaborative effort actively builds your retirement savings, establishing a robust financial foundation for your future. Hybrid Work Mode and Flexible Working Hours:  Embrace flexibility through our hybrid work mode, allowing you to work remotely for two days from home and spend three days in the office. Take charge of your schedule with our flexible working hours policy, empowering you to manage personal appointments and commitments effectively. Open Fridge Policy:  Foster a positive atmosphere in our office with an open fridge policy. Enjoy a diverse selection of beverages and snacks freely available to all employees, keeping you refreshed throughout the day. International Expert Team:  Collaborate with a diverse team of international experts to broaden your professional horizons. Learn and work alongside professionals from different backgrounds, fostering personal and career growth. L4B softwar e is an equal opportunity employer and supports workforce diversity. We are a dedicated team of professionals committed to delivering cutting-edge software solutions. With a focus on quality, innovation, and efficiency, we have successfully executed projects across various industries, earning us recognition as a reliable and certified player in the software engineering services landscape. We believe in providing our employees with a comprehensive compensation and benefits package that goes beyond the standard offerings. We value your well-being, work-life balance, and personal growth, and strive to create an environment where you can thrive both personally and professionally.  For more details , please visit our website  for more information about this role, please contact L4B Software Careers. Join our team and experience the difference. Apply now and take the first step towards a rewarding career with us. We look forward to welcoming you to our team!  Please be aware that we are unable to support the acquisition of a work permit. Eligible candidates must already be situated, as we do not offer relocation assistance or visa sponsorship. 

**About Us**
Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
**Job Description**
**Key Responsibilities:**
+ Develop and optimize machine learning models leveraging NLP, Computer Vision, and GenAI.
+ Architect and implement scalable ML pipelines for training, validation, deployment, and monitoring of production models.
+ Drive the development of large-scale ML infrastructure, ensuring low-latency inference and efficient resource utilization across cloud and hybrid environments.
+ Implement MLOps best practices, automating model training, validation, deployment, and performance monitoring.
+ Work closely with data engineers, software engineers, and product teams to ensure seamless integration of ML solutions into production systems.
+ Optimize ML models for performance, scalability, and efficiency, leveraging techniques like quantization, pruning, and distributed training.
+ Enhance model reliability by implementing automated monitoring, CI/CD pipelines, and versioning strategies.
+ Lead efforts in data acquisition and preprocessing, including annotation and refinement of datasets to improve model accuracy.
+ Stay updated with state-of-the-art ML research, identifying opportunities to integrate new techniques and technologies into production systems.
**Educational Qualifications:**
+ Bachelor's or Master's Degree in Computer Science, Data Science, or related fields. Advanced degrees are a plus.
+ 6+ years of hands-on experience in building and deploying machine learning models, with a focus on NLP, Computer Vision, or GenAI solutions.
+ Proven experience deploying machine learning models into production environments, ensuring high availability, scalability, and reliability.
+ Proficiency with modern ML frameworks (e.g., TensorFlow, PyTorch).
+ Experience in building ML pipelines and implementing MLOps for automating and scaling machine learning workflows.
+ Strong programming skills in Python, R, SQL, and experience with big data technologies (e.g., Spark, Hadoop) for data processing and analytics.
+ Basic proficiency in at least one cloud-based ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform) for training, deploying, and scaling machine learning models.
+ Hands-on experience with containerization (Docker), orchestration (Kubernetes), and model serving platforms (e.g., Triton Inference Server, ONNX) for production-ready ML deployments.
+ Familiarity with end-to-end ML pipelines, including data collection, feature engineering, model training, and model evaluation.
+ Knowledge of model optimization techniques (e.g., quantization, pruning) to improve inference performance on cloud or edge devices.
+ Excellent problem-solving skills, with the ability to break down complex challenges in document extraction and transform them into scalable ML solutions.
+ Strong communication skills, with the ability to articulate ML problems clearly and work autonomously.
**Nice to Have:**
+ Experience in fine-tuning large language models (LLMs) and applying GenAI techniques.
+ Experience with distributed training techniques to optimize large-scale model training across multiple GPUs or cloud environments.
+ Familiarity with CI/CD pipelines for ML, automated model versioning, and monitoring tools for performance and drift in production models.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
**Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.**
Equal Opportunity Employer Automation Anywhere is an equal opportunity employer - M/F/D/V. We want to have the best available persons in every job. We will not discriminate in our employment practices due to an applicant's race, color, creed, gender, religion, marital status, age, national origin and ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other category protected by law.